The University of Queensland

3D Protein Structure Matching by Patch Signatures

Huang, Zi, Zhou, Xiaofang, Shen, Heng Tao and Song, Dawei (2006). 3D Protein Structure Matching by Patch Signatures. Lecture Notes in Computer Science. (pp. 528-537) Berlin, Heidelberg: Springer Berlin Heidelberg. doi: 10.1007/11827405_52

Video Captioning by Learning from Global Sentence and Looking Ahead

Niu, Tian-Zi, Chen, Zhen-Duo, Luo, Xin, Zhang, Peng-Fei, Huang, Zi and Xu, Xin-Shun (2023). Video Captioning by Learning from Global Sentence and Looking Ahead. ACM Transactions on Multimedia Computing, Communications, and Applications, 19 (5s) 171, 1-20. doi: 10.1145/3587252

Self-supervised learning for recommender systems: a survey

Yu, Junliang, Yin, Hongzhi, Xia, Xin, Chen, Tong, Li, Jundong and Huang, Zi (2023). Self-supervised learning for recommender systems: a survey. IEEE Transactions on Knowledge and Data Engineering, 1-20. doi: 10.1109/tkde.2023.3282907

Semantic Enhanced Video Captioning with Multi-feature Fusion

Niu, Tian-Zi, Dong, Shan-Shan, Chen, Zhen-Duo, Luo, Xin, Guo, Shanqing, Huang, Zi and Xu, Xin-Shun (2023). Semantic Enhanced Video Captioning with Multi-feature Fusion. ACM Transactions on Multimedia Computing, Communications, and Applications, 19 (6) 182, 1-21. doi: 10.1145/3588572

Source-free progressive graph learning for open-set domain adaptation

Luo, Yadan, Wang, Zijian, Chen, Zhuoxiao, Huang, Zi and Baktashmotlagh, Mahsa (2023). Source-free progressive graph learning for open-set domain adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45 (9), 1-16. doi: 10.1109/tpami.2023.3270288

A multi-layer memory sharing network for video captioning

Niu, Tian-Zi, Dong, Shan-Shan, Chen, Zhen-Duo, Luo, Xin, Huang, Zi, Guo, Shanqing and Xu, Xin-Shun (2023). A multi-layer memory sharing network for video captioning. Pattern Recognition, 136 109202, 1-11. doi: 10.1016/j.patcog.2022.109202

Editorial for Special Issue on Large-scale Pre-training: Data, Models, and Fine-tuning

Wen, Ji-Rong, Huang, Zi and Zhang, Hanwang (2023). Editorial for Special Issue on Large-scale Pre-training: Data, Models, and Fine-tuning. Machine Intelligence Research, 20 (2), 145-146. doi: 10.1007/s11633-023-1431-y

Proactive privacy-preserving learning for cross-modal retrieval

Zhang, Peng-Fei, Bai, Guangdong, Yin, Hongzhi and Huang, Zi (2023). Proactive privacy-preserving learning for cross-modal retrieval. ACM Transactions on Information Systems, 41 (2), 1-23. doi: 10.1145/3545799

Special issue on responsible data management and data science

Huang, Zi, Shen, Yanyan and Srivastava, Divesh (2022). Special issue on responsible data management and data science. VLDB Journal, 31 (5), 823-823. doi: 10.1007/s00778-022-00761-1

Long short-term enhanced memory for sequential recommendation

Duan, Jiasheng, Zhang, Peng-Fei, Qiu, Ruihong and Huang, Zi (2022). Long short-term enhanced memory for sequential recommendation. World Wide Web, 26 (2), 1-23. doi: 10.1007/s11280-022-01056-9

Exploiting positional information for session-based recommendation

Qiu, Ruihong, Huang, Zi, Chen, Tong and Yin, Hongzhi (2022). Exploiting positional information for session-based recommendation. ACM Transactions on Information Systems, 40 (2) 3473339, 1-24. doi: 10.1145/3473339

DeHIN: a decentralized framework for embedding large-scale heterogeneous information networks

Imran, Mubashir, Yin, Hongzhi, Chen, Tong, Huang, Zi and Zheng, Kai (2022). DeHIN: a decentralized framework for embedding large-scale heterogeneous information networks. IEEE Transactions on Knowledge and Data Engineering, PP (99), 1-1. doi: 10.1109/TKDE.2022.3141951

GSMFlow: generation shifts mitigating flow for generalized zero-shot learning

Chen, Zhi, Luo, Yadan, Wang, Sen, Li, Jingjing and Huang, Zi (2022). GSMFlow: generation shifts mitigating flow for generalized zero-shot learning. IEEE Transactions on Multimedia (99), 1-12. doi: 10.1109/tmm.2022.3190678

MRA-Net: improving VQA via multi-modal relation attention network

Peng, Liang, Yang, Yang, Wang, Zheng, Huang, Zi and Shen, Heng Tao (2022). MRA-Net: improving VQA via multi-modal relation attention network. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44 (1), 318-329. doi: 10.1109/tpami.2020.3004830

Preface

Chbeir, Richard, Huang, Helen, Silvestri, Fabrizio, Manolopoulos, Yannis and Zhang, Yanchun (2022). Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13724 LNCS, v-vi.

Interpretable signed link prediction with signed infomax hyperbolic graph

Luo, Yadan, Huang, Zi, Chen, Hongxu, Yang, Yang, Yin, Hongzhi and Baktashmotlagh, Mahsa (2021). Interpretable signed link prediction with signed infomax hyperbolic graph. IEEE Transactions on Knowledge and Data Engineering, PP (99), 1-1. doi: 10.1109/TKDE.2021.3139035

Collaborative learning for extremely low bit asymmetric hashing

Luo, Yadan, Huang, Zi, Li, Yang, Shen, Fumin, Yang, Yang and Cui, Peng (2021). Collaborative learning for extremely low bit asymmetric hashing. IEEE Transactions on Knowledge and Data Engineering, 33 (12), 3675-3685. doi: 10.1109/tkde.2020.2977633

Preface

Chen, Chang-Wen, Huang, Helen, Zhou, Jun, Harada, Tatsuya, Cai, Jianfei, Liu, Wu and Xu, Dong (2021). Preface. ACM International Conference Proceeding Series.

Quaternion factorization machines: a lightweight solution to intricate feature interaction modeling

Chen, Tong, Yin, Hongzhi, Zhang, Xiangliang, Huang, Zi, Wang, Yang and Wang, Meng (2021). Quaternion factorization machines: a lightweight solution to intricate feature interaction modeling. IEEE Transactions on Neural Networks and Learning Systems, PP (99), 1-14. doi: 10.1109/TNNLS.2021.3118706

Exploiting subspace relation in semantic labels for cross-modal hashing

Shen, Heng Tao, Liu, Luchen, Yang, Yang, Xu, Xing, Huang, Zi, Shen, Fumin and Hong, Richang (2021). Exploiting subspace relation in semantic labels for cross-modal hashing. IEEE Transactions on Knowledge and Data Engineering, 33 (10), 3351-3365. doi: 10.1109/TKDE.2020.2970050

Attribute-aware explainable complementary clothing recommendation

Li, Yang, Chen, Tong and Huang, Zi (2021). Attribute-aware explainable complementary clothing recommendation. World Wide Web, 24 (5), 1885-1901. doi: 10.1007/s11280-021-00913-3

Suicidal ideation and mental disorder detection with attentive relation networks

Ji, Shaoxiong, Li, Xue, Huang, Zi and Cambria, Erik (2021). Suicidal ideation and mental disorder detection with attentive relation networks. Neural Computing and Applications, 34 (13), 10309-10319. doi: 10.1007/s00521-021-06208-y

High-order nonlocal Hashing for unsupervised cross-modal retrieval

Zhang, Peng-Fei, Luo, Yadan, Huang, Zi, Xu, Xin-Shun and Song, Jingkuan (2021). High-order nonlocal Hashing for unsupervised cross-modal retrieval. World Wide Web, 24 (2), 563-583. doi: 10.1007/s11280-020-00859-y

Aggregation-based graph convolutional hashing for unsupervised cross-modal retrieval

Zhang, Peng-Fei, Li, Yang, Huang, Zi and Xu, Xin-Shun (2021). Aggregation-based graph convolutional hashing for unsupervised cross-modal retrieval. IEEE Transactions on Multimedia, 24, 466-479. doi: 10.1109/TMM.2021.3053766

On both cold-start and long-tail recommendation with social data

Li, Jingjing, Lu, Ke, Huang, Zi and Shen, Heng Tao (2021). On both cold-start and long-tail recommendation with social data. IEEE Transactions on Knowledge and Data Engineering, 33 (1) 8745499, 194-208. doi: 10.1109/TKDE.2019.2924656

Uniting heterogeneity, inductiveness, and efficiency for graph representation learning

Chen, Tong, Yin, Hongzhi, Ren, Jie, Huang, Zi, Zhang, Xiangliang and Wang, Hao (2021). Uniting heterogeneity, inductiveness, and efficiency for graph representation learning. IEEE Transactions on Knowledge and Data Engineering, PP (99), 1-1. doi: 10.1109/TKDE.2021.3100529

Enhance social recommendation with adversarial graph convolutional networks

Yu, Junliang, Yin, Hongzhi, Li, Jundong, Gao, Min, Huang, Zi and Cui, Lizhen (2020). Enhance social recommendation with adversarial graph convolutional networks. IEEE Transactions on Knowledge and Data Engineering, 34 (8), 1-1. doi: 10.1109/tkde.2020.3033673

CRSAL: conversational recommender systems with adversarial learning

Ren, Xuhui, Yin, Hongzhi, Chen, Tong, Wang, Hao, Hung, Nguyen Quoc Viet, Huang, Zi and Zhang, Xiangliang (2020). CRSAL: conversational recommender systems with adversarial learning. ACM Transactions on Information Systems, 38 (4) 3394592, 1-40. doi: 10.1145/3394592

Suicidal ideation detection: a review of machine learning methods and applications

Ji, Shaoxiong, Pan, Shirui, Li, Xue, Cambria, Erik, Long, Guodong and Huang, Zi (2020). Suicidal ideation detection: a review of machine learning methods and applications. IEEE Transactions on Computational Social Systems, 8 (1) 9199553, 214-226. doi: 10.1109/tcss.2020.3021467

Correction to: Deep-sea organisms tracking using dehazing and deep learning

Lu, Huimin, Uemura, Tomoki, Wang, Dong, Zhu, Jihua, Huang, Zi and Kim, Hyoungseop (2020). Correction to: Deep-sea organisms tracking using dehazing and deep learning. Mobile Networks and Applications, 25 (6), 2536-2536. doi: 10.1007/s11036-020-01600-9

Urban multimedia computing: Emerging methods in multimedia computing for urban data analysis and applications

Min, Weiqing, Tian, Yonghong, Huang, Zi, Cheng, Wen-Huang and El Saddik, Abdulmotaleb (2020). Urban multimedia computing: Emerging methods in multimedia computing for urban data analysis and applications. IEEE Multimedia, 27 (3) 9186254, 8-11. doi: 10.1109/MMUL.2020.3017877

Exploiting cross-session information for session-based recommendation with graph neural networks

Qiu, Ruihong, Huang, Zi, Li, Jingjing and Yin, Hongzhi (2020). Exploiting cross-session information for session-based recommendation with graph neural networks. ACM Transactions on Information Systems, 38 (3) 22, 1-23. doi: 10.1145/3382764

Deep collaborative discrete hashing with semantic-invariant structure construction

Wang, Zijian, Zhang, Zheng, Luo, Yadan, Huang, Zi and Shen, Heng Tao (2020). Deep collaborative discrete hashing with semantic-invariant structure construction. IEEE Transactions on Multimedia, 23 9096547, 1274-1286. doi: 10.1109/tmm.2020.2995267

Flexible discrete multi-view hashing with collective latent feature learning

Liu, Luyao, Zhang, Zheng and Huang, Zi (2020). Flexible discrete multi-view hashing with collective latent feature learning. Neural Processing Letters, 52 (3), 1765-1791. doi: 10.1007/s11063-020-10221-y

Inductive structure consistent hashing via flexible semantic calibration

Zhang, Zheng, Liu, Luyao, Luo, Yadan, Huang, Zi, Shen, Fumin, Shen, Heng Tao and Lu, Guangming (2020). Inductive structure consistent hashing via flexible semantic calibration. IEEE Transactions on Neural Networks and Learning Systems, 32 (10), 1-15. doi: 10.1109/tnnls.2020.3018790

Scalable supervised asymmetric hashing with semantic and latent factor embedding

Zhang, Zheng, Lai, Zhihui, Huang, Zi, Wong, Wai Keung, Xie, Guo-Sen, Liu, Li and Shao, Ling (2019). Scalable supervised asymmetric hashing with semantic and latent factor embedding. IEEE Transactions on Image Processing, 28 (10) 8709760, 4803-4818. doi: 10.1109/tip.2019.2912290

Discrete hashing with multiple supervision

Luo, Xin, Zhang, Peng-Fei, Huang, Zi, Nie, Liqiang and Xu, Xin-Shun (2019). Discrete hashing with multiple supervision. IEEE Transactions on Image Processing, 28 (6) 8610117, 2962-2975. doi: 10.1109/tip.2019.2892703

Embedding and predicting the event at early stage

Liu, Zhiwei, Yang, Yang, Huang, Zi, Shen, Fumin, Zhang, Dongxiang and Shen, Heng Tao (2019). Embedding and predicting the event at early stage. World Wide Web, 22 (3), 1055-1074. doi: 10.1007/s11280-018-0545-6

Bidirectional discrete matrix factorization hashing for image search

He, Shiyuan, Wang, Bokun, Wang, Zheng, Yang, Yang, Shen, Fumin, Huang, Zi and Shen, Heng Tao (2019). Bidirectional discrete matrix factorization hashing for image search. IEEE Transactions on Cybernetics, 50 (9) 8863122, 1-12. doi: 10.1109/tcyb.2019.2941284

Learning Discrete Hashing Towards Efficient Fashion Recommendation

Liu, Luyao, Du, Xingzhong, Zhu, Lei, Shen, Fumin and Huang, Zi (2018). Learning Discrete Hashing Towards Efficient Fashion Recommendation. Data Science and Engineering, 3 (4), 307-322. doi: 10.1007/s41019-018-0079-z

Exploring auxiliary context: discrete semantic transfer hashing for scalable image retrieval

Zhu, Lei, Huang, Zi, Li, Zhihui, Xie, Liang and Shen, Heng Tao (2018). Exploring auxiliary context: discrete semantic transfer hashing for scalable image retrieval. IEEE Transactions on Neural Networks and Learning Systems, 29 (11) 8291840, 5264-5276. doi: 10.1109/TNNLS.2018.2797248

Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system

Yin, Hongzhi, Wang, Weiqing, Chen, Liang, Du, Xingzhong, Hung Nguyen, Quoc Viet and Huang, Zi (2018). Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system. Knowledge-Based Systems, 157, 68-80. doi: 10.1016/j.knosys.2018.05.028

Heterogeneous domain adaptation through progressive alignment

Li, Jingjing, Lu, Ke, Huang, Zi, Zhu, Lei and Shen, Heng Tao (2018). Heterogeneous domain adaptation through progressive alignment. IEEE Transactions on Neural Networks and Learning Systems, 30 (5) 8475006, 1-11. doi: 10.1109/TNNLS.2018.2868854

Hierarchical multi-clue modelling for POI popularity prediction with heterogeneous tourist information

Yang, Yang, Duan, Yaqian, Wang, Xinze, Huang, Zi, Xie, Ning and Shen, Heng Tao (2018). Hierarchical multi-clue modelling for POI popularity prediction with heterogeneous tourist information. IEEE Transactions on Knowledge and Data Engineering, 31 (4) 8370064, 1-1. doi: 10.1109/TKDE.2018.2842190

Transfer independently together: a generalized framework for domain adaptation

Li, Jingjing, Lu, Ke, Huang, Zi, Zhu, Lei and Shen, Heng Tao (2018). Transfer independently together: a generalized framework for domain adaptation. IEEE Transactions on Cybernetics, 49 (6) 8337102, 1-12. doi: 10.1109/TCYB.2018.2820174

Unsupervised deep hashing with similarity-adaptive and discrete optimization

Shen, Fumin, Xu, Yan, Liu, Li, Yang, Yang, Huang, Zi and Shen, Heng Tao (2018). Unsupervised deep hashing with similarity-adaptive and discrete optimization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40 (12) 8247210, 1-1. doi: 10.1109/TPAMI.2018.2789887

Deep-sea organisms tracking using dehazing and deep learning

Lu, Huimin, Uemura, Tomoki, Wang, Dong, Zhu, Jihua, Huang, Zi and Kim, Hyoungseop (2018). Deep-sea organisms tracking using dehazing and deep learning. Mobile Networks and Applications, 25 (3), 1008-1015. doi: 10.1007/s11036-018-1117-9

Exploiting detected visual objects for frame-level video filtering

Du, Xingzhong, Yin, Hongzhi, Huang, Zi, Yang, Yi and Zhou, Xiaofang (2017). Exploiting detected visual objects for frame-level video filtering. World Wide Web, 21 (5), 1-26. doi: 10.1007/s11280-017-0505-6

Guest Editorial: Knowledge-Based Multimedia Computing

Li, Liang, Huang, Zi, Zha, Zheng-Jun and Jiang, Shuqiang (2017). Guest Editorial: Knowledge-Based Multimedia Computing. Multimedia Tools and Applications, 76 (23), 24955-24959. doi: 10.1007/s11042-017-5212-x

Bilinear optimized product quantization for scalable visual content analysis

Yu, Litao, Huang, Zi, Shen, Fumin, Song, Jingkuan, Shen, Heng Tao and Zhou, Xiaofang (2017). Bilinear optimized product quantization for scalable visual content analysis. IEEE Transactions On Image Processing, 26 (10) 7964737, 5057-5069. doi: 10.1109/TIP.2017.2722224

Discrete Multimodal Hashing with Canonical Views for Robust Mobile Landmark Search

Zhu, Lei, Huang, Zi, Liu, Xiaobai, He, Xiangnan, Sun, Jiande and Zhou, Xiaofang (2017). Discrete Multimodal Hashing with Canonical Views for Robust Mobile Landmark Search. IEEE Transactions on Multimedia, 19 (9) 7984879, 2066-2079. doi: 10.1109/TMM.2017.2729025

Discrete nonnegative spectral clustering

Yang, Yang, Shen, Fumin, Huang, Zi, Shen, Heng Tao and Li, Xuelong (2017). Discrete nonnegative spectral clustering. IEEE Transactions On Knowledge and Data Engineering, 29 (9) 7920371, 1834-1845. doi: 10.1109/TKDE.2017.2701825

Fast parallel path concatenation for graph extraction

Shao, Yingxia, Lei, Kai , Chen, Lei, Huang, Zi, Cui, Bin, Liu, Zhongyi, Tong, Yunhai and Xu, Jin (2017). Fast parallel path concatenation for graph extraction. IEEE Transactions on Knowledge & Data Engineering, 29 (10) 7953521, 2210-2222. doi: 10.1109/TKDE.2017.2716939

Hierarchical latent concept discovery for video event detection

Li, Chao, Huang, Zi, Yang, Yang, Cao, Jiewei, Sun, Xiaoshuai and Shen, Heng Tao (2017). Hierarchical latent concept discovery for video event detection. IEEE Transactions on Image Processing, 26 (5) 7858791, 2149-2162. doi: 10.1109/TIP.2017.2670782

Robust discrete code modeling for supervised hashing

Luo, Yadan, Yang, Yang, Shen, Fumin, Huang, Zi, Zhou, Pan and Shen, Heng Tao (2017). Robust discrete code modeling for supervised hashing. Pattern Recognition, 75, 128-135. doi: 10.1016/j.patcog.2017.02.034

Web video event recognition by semantic analysis from ubiquitous documents

Yu, Litao, Yang, Yang, Huang, Zi, Wang, Peng, Song, Jingkuan and Shen, Heng Tao (2016). Web video event recognition by semantic analysis from ubiquitous documents. IEEE Transactions on Image Processing, 26 (12) 7577816, 5689-5701. doi: 10.1109/TIP.2016.2614136

Robust spatial-temporal deep model for multimedia event detection

Yu, Litao, Sun, Xiaoshuai and Huang, Zi (2016). Robust spatial-temporal deep model for multimedia event detection. Neurocomputing, 213, 48-53. doi: 10.1016/j.neucom.2016.03.102

Ranking weighted clustering coefficient in large dynamic graphs

Li, Xuefei, Chang, Lijun, Zheng, Kai, Huang, Zi and Zhou, Xiaofang (2016). Ranking weighted clustering coefficient in large dynamic graphs. World Wide Web, 20 (5), 1-29. doi: 10.1007/s11280-016-0420-2

Joint modeling of user check-in behaviors for real-time point-of-interest recommendation

Yin, Hongzhi, Cui, Bin, Zhou, Xiaofang, Wang, Weiqing, Huang, Zi and Sadiq, Shazia (2016). Joint modeling of user check-in behaviors for real-time point-of-interest recommendation. ACM Transactions on Information Systems, 35 (2) 2873055, 1-44. doi: 10.1145/2873055

Scalable video event retrieval by visual state binary embedding

Yu, Litao, Huang, Zi, Cao, Jiewei and Shen, Heng Tao (2016). Scalable video event retrieval by visual state binary embedding. IEEE Transactions on Multimedia, 18 (8) 7457257, 1590-1603. doi: 10.1109/TMM.2016.2557059

A distance-computation-free search scheme for binary code databases

Song, Jingkuan, Shen, Heng Tao, Wang, Jianfeng, Huang, Zi, Sebe, Nicu and Wang, Jingdong (2016). A distance-computation-free search scheme for binary code databases. IEEE Transactions on Multimedia, 18 (3) 7377105, 484-495. doi: 10.1109/TMM.2016.2515990

Indexing Evolving Events from Tweet Streams

Cai, Hongyun, Huang, Zi, Srivastava, Divesh and Zhang, Qing (2015). Indexing Evolving Events from Tweet Streams. IEEE Transactions on Knowledge and Data Engineering, 27 (11) 7124472, 3001-3015. doi: 10.1109/TKDE.2015.2445773

Heterogeneous environment aware streaming graph partitioning

Xu, Ning, Cui, Bin, Chen, Lei, Huang, Zi and Shao, Yingxia (2015). Heterogeneous environment aware streaming graph partitioning. IEEE Transactions On Knowledge and Data Engineering, 27 (6) 6975163, 1560-1572. doi: 10.1109/TKDE.2014.2377743

Keyword search over probabilistic RDF graphs

Lian, Xiang, Chen, Lei and Huang, Zi (2015). Keyword search over probabilistic RDF graphs. IEEE Transactions on Knowledge and Data Engineering, 27 (5) 6940261, 1246-1260. doi: 10.1109/TKDE.2014.2365791

Evaluation of machine learning interpolation techniques for prediction of physical properties

Belisle, Eve, Huang, Zi, Le Digabel, Sebastien and Gheribi, Aimen E. (2015). Evaluation of machine learning interpolation techniques for prediction of physical properties. Computational Materials Science, 98, 170-177. doi: 10.1016/j.commatsci.2014.10.032

A sparse embedding and least variance encoding approach to hashing

Zhu, Xiaofeng, Zhang, Lei and Huang, Zi (2014). A sparse embedding and least variance encoding approach to hashing. IEEE Transactions on Image Processing, 23 (9) 6844160, 3737-3750. doi: 10.1109/TIP.2014.2332764

Robust hashing with local models for approximate similarity search

Song, Jingkuan, Yang, Yi, Li, Xuelong, Huang, Zi and Yang, Yang (2014). Robust hashing with local models for approximate similarity search. IEEE Transactions on Cybernetics, 44 (7) 6714849, 1225-1236. doi: 10.1109/TCYB.2013.2289351

Social event identification and ranking on flickr

Li, Xuefei, Cai, Hongyun, Huang, Zi, Yang, Yang and Zhou, Xiaofang (2014). Social event identification and ranking on flickr. World Wide Web, 18 (5), 1219-1245. doi: 10.1007/s11280-014-0295-z

On the influence propagation of web videos

Liu, Jiajun, Yang, Yi, Huang, Zi, Yang, Yang and Shen, Heng Tao (2013). On the influence propagation of web videos. IEEE Transactions on Knowledge and Data Engineering, 26 (99) 6583164, 1961-1973. doi: 10.1109/TKDE.2013.142

Image classification with manifold learning for out-of-sample data

Han, Yahong, Xu, Zhongwen, Ma, Zhigang and Huang, Zi (2013). Image classification with manifold learning for out-of-sample data. Signal Processing, 93 (8), 2169-2177. doi: 10.1016/j.sigpro.2012.05.036

Near-duplicate video retrieval: current research and future trends

Liu, Jiajun, Huang, Zi, Cai, Hongyun, Shen, Heng Tao, Ngo, Chong-wah and Wang, Wei (2013). Near-duplicate video retrieval: current research and future trends. ACM Computing Surveys, 45 (4) 2501658, 44.1-44.23. doi: 10.1145/2501654.2501658

Effective multiple feature hashing for large-scale near-duplicate video retrieval

Song, Jingkuan, Yang, Yi, Huang, Zi, Shen, Heng Tao and Luo, Jiebo (2013). Effective multiple feature hashing for large-scale near-duplicate video retrieval. IEEE Transactions on Multimedia, 15 (8) 6553136, 1997-2008. doi: 10.1109/TMM.2013.2271746

Local image tagging via graph regularized joint group sparsity

Yang, Yang, Huang, Zi, Yang, Yi, Liu, Jiajun, Shen, Heng Tao and Luo, Jiebo (2013). Local image tagging via graph regularized joint group sparsity. Pattern Recognition, 46 (5), 1358-1368. doi: 10.1016/j.patcog.2012.10.026

Sparse hashing for fast multimedia search

Zhu, Xiaofeng, Huang, Zi, Cheng, Hong, Cui, Jiangtao and Shen, Heng Tao (2013). Sparse hashing for fast multimedia search. ACM Transactions on Information Systems, 31 (2) 9, 9.1-9.24. doi: 10.1145/2457465.2457469

A gram-based string paradigm for efficient video subsequence search

Huang, Zi, Liu, Jiajun, Cui, Bin and Du, Xiaoyong (2013). A gram-based string paradigm for efficient video subsequence search. IEEE Transactions On Multimedia, 15 (3) 6392966, 608-620. doi: 10.1109/TMM.2012.2236307

Multi-feature fusion via hierarchical regression for multimedia analysis

Yang, Yi, Song, Jingkuan, Huang, Zi, Ma, Zhigang, Sebe, Nicu and Hauptmann, Alexander G. (2013). Multi-feature fusion via hierarchical regression for multimedia analysis. IEEE Transactions On Multimedia, 15 (3) 6384799, 572-581. doi: 10.1109/TMM.2012.2234731

Video-to-shot tag propagation by Graph Sparse Group Lasso

Zhu, Xiaofeng, Huang, Zi, Cui, Jiangtao and Shen, Heng Tao (2013). Video-to-shot tag propagation by Graph Sparse Group Lasso. IEEE Transactions On Multimedia, 15 (3) 6380623, 633-646. doi: 10.1109/TMM.2012.2233723

Self-taught dimensionality reduction on the high-dimensional small-sized data

Zhu, Xiaofeng, Huang, Zi, Yang, Yang, Shen, Heng Tao, Xu, Changsheng and Luo, Jiebo (2013). Self-taught dimensionality reduction on the high-dimensional small-sized data. Pattern Recognition, 46 (1), 215-229. doi: 10.1016/j.patcog.2012.07.018

Dimensionality reduction by mixed kernel canonical correlation analysis

Zhu, Xiaofeng, Huang, Zi, Shen, Heng Tao, Cheng, Jian and Xu, Changsheng (2012). Dimensionality reduction by mixed kernel canonical correlation analysis. Pattern Recognition, 45 (8), 3003-3016. doi: 10.1016/j.patcog.2012.02.007

Extracting representative motion flows for effective video retrieval

Zhao, Zhe, Cui, Bin, Cong, Gao, Huang, Zi and Shen, Heng Tao (2012). Extracting representative motion flows for effective video retrieval. Multimedia Tools and Applications, 58 (3), 687-711. doi: 10.1007/s11042-011-0763-8

Automatic tagging by exploring tag information capability and correlation

Zhang, Xiaoming, Huang, Zi, Shen, Heng Tao, Yang, Yang and Li, Zhoujun (2012). Automatic tagging by exploring tag information capability and correlation. World Wide Web, 15 (3), 233-256. doi: 10.1007/s11280-011-0132-6

Quick identification of near-duplicate video sequences with cut signature

Xie, Qing, Zi, Huang, Shen, Heng Tao, Zhou, Xiaofang and Pang, Chaoyi (2012). Quick identification of near-duplicate video sequences with cut signature. World Wide Web, 15 (3), 355-382. doi: 10.1007/s11280-011-0119-3

Discovering the most influential sites over uncertain data: A rank based approach

Zheng, Kai, Huang, Zi, Zhou, Aoying and Zhou, Xiaofang (2012). Discovering the most influential sites over uncertain data: A rank based approach. IEEE Transaction on Knowledge and Data Engineering, 24 (12) 5871623, 2156-2169. doi: 10.1109/TKDE.2011.121

Correlation-based retrieval for heavily changed near-duplicate videos

Liu, Jiajun, Huang, Zi, Shen, Heng Tao and Cui, Bin (2011). Correlation-based retrieval for heavily changed near-duplicate videos. ACM Transactions on Information Systems, 29 (4) 2037666, 21.1-21.25. doi: 10.1145/2037661.2037666

Mining multi-tag association for image tagging

Yang, Yang, Huang, Zi, Shen, Heng Tao and Zhou, Xiaofang (2011). Mining multi-tag association for image tagging. World Wide Web, 14 (2), 133-156. doi: 10.1007/s11280-010-0099-8

Exploring distributional discrepancy for multidimensional point set retrieval

Shao, Jie, Shen, Heng Tao, Huang, Zi and Zhou, Xiaofang (2011). Exploring distributional discrepancy for multidimensional point set retrieval. IEEE Transactions on Multimedia, 13 (1) 5597949, 71-81. doi: 10.1109/TMM.2010.2085424

Mining near-duplicate graph for cluster-based reranking of web video search results

Huang, Zi, Hu, Bo, Cheng, Hong, Shen, Heng Tao, Liu, Hongyan and Zhou, Xiaofang (2010). Mining near-duplicate graph for cluster-based reranking of web video search results. ACM Transactions on Information Systems, 28 (4) 22, 22-1-22-27. doi: 10.1145/1852102.1852108

Practical online near-duplicate subsequence detection for continuous video streams

Huang, Zi, Shen, Heng Tao, Shao, Jie, Cui, Bin and Zhou, Xiaofang (2010). Practical online near-duplicate subsequence detection for continuous video streams. IEEE Transactions on Multimedia, 12 (5) 5466199, 386-398. doi: 10.1109/TMM.2010.2050737

Bounded coordinate system indexing for real-time video clip search

Huang, Zi, Shen, Heng Tao, Shao, Jie, Zhou, Xiaofang and Cui, Bin (2009). Bounded coordinate system indexing for real-time video clip search. ACM Transactions on Information Systems, 27 (3) 17, 17.1-17.33. doi: 10.1145/1508850.1508855

Effective and efficient query processing for video subsequence identification

Shen, Heng Tao, Shao, Jie, Huang, Zi and Zhou, Xiaofang (2009). Effective and efficient query processing for video subsequence identification. IEEE Transactions on Knowledge and Data Engineering, 21 (3), 321-334. doi: 10.1109/TKDE.2008.168

Speed up interactive image retrieval

Shen, Heng Tao, Jiang, Shouxu, Tan, Kian-Lee, Huang, Zi and Zhou, Xiaofang (2009). Speed up interactive image retrieval. The VLDB Journal, 18 (1), 329-343. doi: 10.1007/s00778-008-0101-6

Batch nearest neighbor search for video retrieval

Jie Shao, Zi Huang, Shen, Heng Tao, Zhou, Xiaofang, Lim, Ee-Peng and Li, Yijun (2008). Batch nearest neighbor search for video retrieval. IEEE Transactions on Multimedia, 10 (3), 409-420. doi: 10.1109/TMM.2008.917339

Localized co-occurrence model for fast approximate search in 3D structure databases

Huang, Zi, Shen, Heng Tao and Zhou, Xiaofang (2008). Localized co-occurrence model for fast approximate search in 3D structure databases. IEEE Transactions on Knowledge and Data Engineering, 20 (4) 4407704, 519-531. doi: 10.1109/TKDE.2007.190729

Object-goal visual navigation via effective exploration of relations among historical navigation states

Du, Heming, Li, Lincheng, Huang, Zi and Yu, Xin (2023). Object-goal visual navigation via effective exploration of relations among historical navigation states. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, BC, Canada, 17-24 June 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/cvpr52729.2023.00252

Exploring active 3D object detection from a generalization perspective

Luo, Yadan, Chen, Zhuoxiao, Wang, Zijian, Yu, Xin, Huang, Zi and Baktashmotlagh, Mahsa (2023). Exploring active 3D object detection from a generalization perspective. 11th International Conference on Learning Representations (ICLR), Kigali, Rwanda, 1 - 5 May 2023. New York, NY, United States: Cornell Tech. doi: 10.48550/arXiv.2301.09249

Semi-decentralized federated ego graph learning for recommendation

Qu, Liang, Tang, Ningzhi, Zheng, Ruiqi, Nguyen, Quoc Viet Hung, Huang, Zi, Shi, Yuhui and Yin, Hongzhi (2023). Semi-decentralized federated ego graph learning for recommendation. The ACM Web Conference 2023, Austin, TX, United States, 30 April - 4 May 2023. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3543507.3583337

Beyond double ascent via recurrent neural tangent kernel in sequential recommendation

Qiu, Ruihong, Huang, Zi and Yin, Hongzhi (2023). Beyond double ascent via recurrent neural tangent kernel in sequential recommendation. 22nd IEEE International Conference on Data Mining (ICDM), Orlando, FL USA, 28 November-1 December 2022. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/icdm54844.2022.00053

FFM: injecting out-of-domain knowledge via factorized frequency modification

Wang, Zijian, Luo, Yadan, Huang, Zi and Baktashmotlagh, Mahsa (2023). FFM: injecting out-of-domain knowledge via factorized frequency modification. 23rd IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, United States, 3-7 January 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/wacv56688.2023.00412

Robust learning with adversarial perturbations and label noise: a two-pronged defense approach

Zhang, Peng-Fei, Huang, Zi, Luo, Xin and Zhao, Pengfei (2022). Robust learning with adversarial perturbations and label noise: a two-pronged defense approach. 4th ACM International Conference on Multimedia in Asia, Tokyo, Japan, 13-16 December 2022. New York, NY, United States: ACM. doi: 10.1145/3551626.3564934

IDEAL: high-order-ensemble adaptation network forlearning with noisy labels

Zhang, Peng-Fei, Huang, Zi, Bai, Guangdong and Xu, Xin-Shun (2022). IDEAL: high-order-ensemble adaptation network forlearning with noisy labels. MM '22: The 30th ACM International Conference on Multimedia, Lisbon, Portugal, 10-14 October 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3503161.3548053

Machine unlearning for image retrieval : a generative scrubbing approach

Zhang, Peng-Fei, Bai, Guangdong, Huang, Zi and Xu, Xin-Shun (2022). Machine unlearning for image retrieval : a generative scrubbing approach. MM '22: The 30th ACM International Conference on Multimedia, Lisbon, Portugal, 10-14 October 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3503161.3548378

Scrutinizing Privacy Policy Compliance of Virtual Personal Assistant Apps

Xie, Fuman, Zhang, Yanjun, Yan, Chuan, Li, Suwan, Bu, Lei, Chen, Kai, Huang, Zi and Bai, Guangdong (2022). Scrutinizing Privacy Policy Compliance of Virtual Personal Assistant Apps. ASE '22: 37th IEEE/ACM International Conference on Automated Software Engineering, Rochester, MI United States, 10 - 14 October 2022. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3551349.3560416

Discovering domain disentanglement for generalized multi-source domain adaptation

Wang, Zixin, Luo, Yadan, Zhang, Peng-Fei, Wang, Sen and Huang, Zi (2022). Discovering domain disentanglement for generalized multi-source domain adaptation. 2022 IEEE International Conference on Multimedia and Expo (ICME), Taipei, Taiwan, 18-22 July 2022. Piscataway, NJ United States: IEEE Computer Society. doi: 10.1109/icme52920.2022.9859733

Uniting heterogeneity, inductiveness, and efficiency for graph representation learning (Extended Abstract)

Chen, Tong, Yin, Hongzhi, Ren, Jie, Huang, Zi, Zhang, Xiangliang and Wang, Hao (2022). Uniting heterogeneity, inductiveness, and efficiency for graph representation learning (Extended Abstract). 2022 IEEE 38th International Conference on Data Engineering (ICDE), Kuala Lumpur, Malaysia, 9-12 May 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/icde53745.2022.00143

Contrastive learning for representation degeneration problem in sequential recommendation

Qiu, Ruihong, Huang, Zi, Yin, Hongzhi and Wang, Zijian (2022). Contrastive learning for representation degeneration problem in sequential recommendation. WSDM '22: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, Virtual, AZ, United States, 21 - 25 February 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3488560.3498433

PipA!ack: poisoning federated recommender systems for manipulating item promotion

Zhang, Shijie, Yin, Hongzhi, Chen, Tong, Huang, Zi, Nguyen, Quoc Viet Hung and Cui, Lizhen (2022). PipA!ack: poisoning federated recommender systems for manipulating item promotion. WSDM '22: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, Virtual, AZ, United States, 21 - 25 February 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3488560.3498386

Improved feature distillation via projector ensemble

Chen, Yudong, Wang, Sen, Liu, Jiajun, Xu, Xuwei, de Hoog, Frank and Huang, Zi (2022). Improved feature distillation via projector ensemble. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, United States, 29 November-1 December 2022. New Orleans, LA, United States: Neural information processing systems foundation.

CausalRec: causal inference for visual debiasing in visually-aware recommendation

Qiu, Ruihong, Wang, Sen, Chen, Zhi, Yin, Hongzhi and Huang, Zi (2021). CausalRec: causal inference for visual debiasing in visually-aware recommendation. MM '21: ACM Multimedia Conference, Virtual, 20-24 October 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3474085.3475266

Domain adaptive semantic segmentation without source data

You, Fuming, Li, Jingjing, Zhu, Lei, Chen, Zhi and Huang, Zi (2021). Domain adaptive semantic segmentation without source data. MM '21: Proceedings of the 29th ACM International Conference on Multimedia, Virtual, 20-24 October 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3474085.3475482

Imbalanced Source-free Domain Adaptation

Li, Xinhao, Li, Jingjing, Zhu, Lei, Wang, Guoqing and Huang, Zi (2021). Imbalanced Source-free Domain Adaptation. MM '21: ACM Multimedia Conference, Online, 20 - 24 October 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3474085.3475487

Joint-teaching: learning to refine knowledge for resource-constrained unsupervised cross-modal retrieval

Zhang, Peng-Fei, Duan, Jiasheng, Huang, Zi and Yin, Hongzhi (2021). Joint-teaching: learning to refine knowledge for resource-constrained unsupervised cross-modal retrieval. MM '21: ACM Multimedia Conference, Virtual, 20-24 October 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3474085.3475286

Learning Transferrable and Interpretable Representations for Domain Generalization

Du, Zhekai, Li, Jingjing, Lu, Ke, Zhu, Lei and Huang, Zi (2021). Learning Transferrable and Interpretable Representations for Domain Generalization. MM '21: ACM Multimedia Conference, Online, 20 - 24 October 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3474085.3475488

Local graph convolutional networks for cross-modal hashing

Chen, Yudong, Wang, Sen, Lu, Jianglin, Chen, Zhi, Zhang, Zheng and Huang, Zi (2021). Local graph convolutional networks for cross-modal hashing. ACM International Conference on Multimedia, Chengdu, China (Virtual), 20-24 October 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3474085.3475346

Mitigating Generation Shifts for Generalized Zero-Shot Learning

Chen, Zhi, Luo, Yadan, Wang, Sen, Qiu, Ruihong, Li, Jingjing and Huang, Zi (2021). Mitigating Generation Shifts for Generalized Zero-Shot Learning. MM '21: ACM Multimedia Conference, Online, 20 - 24 October 2021. Washington, DC United States: Association for Computing Machinery. doi: 10.1145/3474085.3475258

Semantics disentangling for generalized zero-shot learning

Chen, Zhi, Luo, Yadan, Qiu, Ruihong, Wang, Sen, Huang, Zi, Li, Jingjing and Zhang, Zheng (2021). Semantics disentangling for generalized zero-shot learning. 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, QC Canada, 10-17 October 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/iccv48922.2021.00859

Learning elastic embeddings for customizing on-device recommenders

Chen, Tong, Yin, Hongzhi, Zheng, Yujia, Huang, Zi, Wang, Yang and Wang, Meng (2021). Learning elastic embeddings for customizing on-device recommenders. 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, Virtual (Singapore), 14-18 August 2021. New York, NY, United States: ACM. doi: 10.1145/3447548.3467220

Discovering collaborative signals for next POI recommendation with iterative Seq2Graph augmentation

Li, Yang, Chen, Tong, Luo, Yadan, Yin, Hongzhi and Huang, Zi (2021). Discovering collaborative signals for next POI recommendation with iterative Seq2Graph augmentation. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, Montreal, QC Canada, 19 - 27 August 2021. Palo Alto, CA United States: A A A I Press. doi: 10.24963/ijcai.2021/206

Learning to ask appropriate questions in conversational recommendation

Ren, Xuhui, Yin, Hongzhi, Chen, Tong, Wang, Hao, Huang, Zi and Zheng, Kai (2021). Learning to ask appropriate questions in conversational recommendation. SIGIR '21: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, 11-15 July 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3404835.3462839

Privacy protection in deep multi-modal retrieval

Zhang, Peng-Fei, Li, Yang, Huang, Zi and Yin, Hongzhi (2021). Privacy protection in deep multi-modal retrieval. 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual, 11-15 July 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3404835.3462837

Graph embedding for recommendation against attribute inference attacks

Zhang, Shijie, Yin, Hongzhi, Chen, Tong, Huang, Zi, Cui, Lizhen and Zhang, Xiangliang (2021). Graph embedding for recommendation against attribute inference attacks. WWW '21: Proceedings of the Web Conference 2021, Ljubljana, Slovenia, 19-22 April 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3442381.3449813

DDHH: A decentralized deep learning framework for large-scale heterogeneous networks

Imran, Mubashir, Yin, Hongzhi, Chen, Tong, Huang, Zi, Zhang, Xiangliang and Zheng, Kai (2021). DDHH: A decentralized deep learning framework for large-scale heterogeneous networks. 2021 IEEE 37th International Conference on Data Engineering (ICDE), Chania, Greece, 19-22 April 2021. Washington, DC USA: IEEE Computer Society. doi: 10.1109/ICDE51399.2021.00196

Modeling Daily Crime Events Prediction Using Seq2Seq Architecture

Alghamdi, Jawaher and Huang, Zi (2021). Modeling Daily Crime Events Prediction Using Seq2Seq Architecture. 32nd Australasian Database Conference (ADC) Held as Part of Australasian Computer Science Week (ACSW), Online, 29 January - 5 February 2021. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-69377-0_16

Learning to diversify for single domain generalization

Wang, Zijian, Luo, Yadan, Qiu, Ruihong, Huang, Zi and Baktashmotlagh, Mahsa (2021). Learning to diversify for single domain generalization. 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, QC Canada, 10-17 October 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICCV48922.2021.00087

Entropy-based uncertainty calibration for generalized zero-shot learning

Chen, Zhi, Huang, Zi, Li, Jingjing and Zhang, Zheng (2021). Entropy-based uncertainty calibration for generalized zero-shot learning. 32nd Australasian Database Conference, ADC 2021, Dunedin, New Zealand, 29 January-5 February 2021. Cham, Switzerland: Springer Cham. doi: 10.1007/978-3-030-69377-0_12

Memory augmented multi-instance contrastive predictive coding for sequential recommendation

Qiu, Ruihong, Huang, Zi and Yin, Hongzhi (2021). Memory augmented multi-instance contrastive predictive coding for sequential recommendation. IEEE International Conference on Data Mining, Auckland, New Zealand, 7-10 December 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDM51629.2021.00063

Proactive Privacy-preserving Learning for Retrieval

Zhang, Peng-Fei, Huang, Zi and Xu, Xin-Shun (2021). Proactive Privacy-preserving Learning for Retrieval. 35th AAAI Conference on Artificial Intelligence, AAAI 2021, Online, 2–9 February 2021. Palo Alto, CA United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v35i4.16449

Adversarial bipartite graph learning for video domain adaptation

Luo, Yadan, Huang, Zi, Wang, Zijian, Zhang, Zheng and Baktashmotlagh, Mahsa (2020). Adversarial bipartite graph learning for video domain adaptation. ACM International Conference on Multimedia, Seattle, WA, United States, 12-16 October 2020. New York, United States: Association for Computing Machinery. doi: 10.1145/3394171.3413897

Incomplete cross-modal retrieval with dual-aligned variational autoencoders

Jing, Mengmeng, Li, Jingjing, Zhu, Lei, Lu, Ke, Yang, Yang and Huang, Zi (2020). Incomplete cross-modal retrieval with dual-aligned variational autoencoders. MM '20: The 28th ACM International Conference on Multimedia, Online, 12-16 October 2020. New York, NY, United States: Association for Computing Machinery, Inc. doi: 10.1145/3394171.3413676

Prototype-matching graph network for heterogeneous domain adaptation

Wang, Zijian, Luo, Yadan, Huang, Zi and Baktashmotlagh, Mahsa (2020). Prototype-matching graph network for heterogeneous domain adaptation. MM '20: 28th ACM International Conference on Multimedia, Online, October 2020. New York, NY, United States: ACM. doi: 10.1145/3394171.3413662

Rethinking generative zero-shot learning: an ensemble learning perspective for recognising visual patches

Chen, Zhi, Wang, Sen, Li, Jingjing and Huang, Zi (2020). Rethinking generative zero-shot learning: an ensemble learning perspective for recognising visual patches. MM '20: Proceedings of the 28th ACM International Conference on Multimedia, New York, NY USA, 12-16 October 2020. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3394171.3413813

Completely unsupervised cross-modal hashing

Duan, Jiasheng, Zhang, Pengfei and Huang, Zi (2020). Completely unsupervised cross-modal hashing. 25th International Conference on Database Systems for Advanced Applications, DASFAA 2020, Jeju, South Korea, 24 - 27 September 2020. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-59410-7_11

GAG: global attributed graph neural network for streaming session-based recommendation

Qiu, Ruihong, Yin, Hongzhi, Huang, Zi and Chen, Tong (2020). GAG: global attributed graph neural network for streaming session-based recommendation. International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event China , 25-30 July 2020. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3397271.3401109

Try this instead: personalized and interpretable substitute recommendation

Chen, Tong, Yin, Hongzhi, Ye, Guanhua, Huang, Zi, Wang, Yang and Wang, Meng (2020). Try this instead: personalized and interpretable substitute recommendation. International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event China, 25-30 July 2020. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3397271.3401042

Human consensus-oriented image captioning

Wang, Ziwei, Huang, Zi and Luo, Yadan (2020). Human consensus-oriented image captioning. Twenty-Ninth International Joint Conference on Artificial Intelligence, Yokohama, Japan, 7-15 January 2021. Palo Alto, CA, United States: AAAI Press. doi: 10.24963/ijcai.2020/92

Semantics-reconstructing hashing for cross-modal retrieval

Zhang, Peng-Fei, Huang, Zi and Zhang, Zheng (2020). Semantics-reconstructing hashing for cross-modal retrieval. 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, Singapore, 11 - 14 May 2020. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-47436-2_24

Learning from the past: continual meta-learning with Bayesian Graph Neural Networks

Luo, Yadan, Huang, Zi, Zhang, Zheng, Wang, Ziwei, Baktashmotlagh, Mahsa and Yang, Yang (2020). Learning from the past: continual meta-learning with Bayesian Graph Neural Networks. The Thirty-Fourth AAAI Conference on Artificial Intelligence/ The Thirty-Second Conference on Innovative Applications of Artificial Intelligence/ The Tenth Symposium on Educational Advances in Artificial Intelligence, New York, United States, 7-12 February 2020. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/aaai.v34i04.5942

CANZSL: Cycle-consistent adversarial networks for zero-shot learning from natural language

Chen, Zhi, Li, Jingjing, Luo, Yadan, Huang, Zi and Yangyang, Yangyang (2020). CANZSL: Cycle-consistent adversarial networks for zero-shot learning from natural language. IEEE Winter Conference on Applications of Computer Vision (WACV), Snowmass, CO United States, 1-5 March 2020. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/WACV45572.2020.9093610

Fashion recommendation with multi-relational representation learning

Li, Yang, Luo, Yadan and Huang, Zi (2020). Fashion recommendation with multi-relational representation learning. 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, Singapore, 11-14 May 2020. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-47426-3_1

GCN-based user representation learning for unifying robust recommendation and fraudster detection

Zhang, Shijie, Yin, Hongzhi, Chen, Tong, Hung, Quoc Viet Nguyen, Huang, Zi and Cui, Lizhen (2020). GCN-based user representation learning for unifying robust recommendation and fraudster detection. SIGIR '20: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, Online, July 2020. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3397271.3401165

Graph-based relation-aware representation learning for clothing matching

Li, Yang, Luo, Yadan and Huang, Zi (2020). Graph-based relation-aware representation learning for clothing matching. Australasian Database Conference, Melbourne, VIC, Australia, 3-7 February 2020. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-39469-1_15

Group recommendation with latent voting mechanism

Guo, Lei, Yin, Hongzhi, Wang, Qinyong, Cui, Bin, Huang, Zi and Cui, Lizhen (2020). Group recommendation with latent voting mechanism. 2020 IEEE 36th International Conference on Data Engineering (ICDE), Dallas, TX, United States, 20-24 April 2020. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/ICDE48307.2020.00018

Next point-of-interest recommendation on resource-constrained mobile devices

Wang, Qinyong, Yin, Hongzhi, Chen, Tong, Huang, Zi, Wang, Hao, Zhao, Yanchang and Viet Hung, Nguyen Quoc (2020). Next point-of-interest recommendation on resource-constrained mobile devices. WWW '20: The Web Conference 2020, Taipei, Taiwan, April 2020. New York, United States: Association for Computing Machinery. doi: 10.1145/3366423.3380170

PAIC: Parallelised Attentive Image Captioning

Wang, Ziwei, Huang, Zi and Luo, Yadan (2020). PAIC: Parallelised Attentive Image Captioning. 31st Australasian Database Conference, ADC 2020, Melbourne, VIC, Australia, February 3–7, 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-39469-1_2

Progressive graph learning for open-set domain adaptation

Luo, Yadan, Wang, Zijian, Huang, Zi and Baktashmotlagh, Mahsa (2020). Progressive graph learning for open-set domain adaptation. 37th International Conference on Machine Learning ICML 2020, Vienna, Austria, 12-18 July 2020 . International Machine Learning Society .

Semi-supervised cross-modal hashing with graph convolutional networks

Duan, Jiasheng, Luo, Yadan, Wang, Ziwei and Huang, Zi (2020). Semi-supervised cross-modal hashing with graph convolutional networks. Australasian Database Conference, Melbourne, VIC, Australia, 3-7 February 2020. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-39469-1_8

A Domain Adaptation Approach for Multistream Classification

Xie, Yue, Li, Jingjing, Jing, Mengmeng, Lu, Ke and Huang, Zi (2019). A Domain Adaptation Approach for Multistream Classification. 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, Chiang Mai, Thailand, 22 - 25 April 2019. Heidelberg, Germany: Springer Verlag. doi: 10.1007/978-3-030-18590-9_42

Adaptive component embedding for unsupervised domain adaptation

Jing, Mengmeng, Li, Jingjing, Lu, Ke, Liu, Jieyan and Huang, Zi (2019). Adaptive component embedding for unsupervised domain adaptation. IEEE International Conference on Multimedia and Expo (ICME), Shanghai, China, 8-12 July 2019. Piscataway, NJ United States: IEEE Computer Society. doi: 10.1109/ICME.2019.00286

Agile domain adaptation

Li, Jingjing, Jing, Mengmeng, Xie, Yue, Lu, Ke and Huang, Zi (2019). Agile domain adaptation. International Joint Conference on Neural Networks, Budapest, Hungary, 14-19 July 2019. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IJCNN.2019.8852479

Alleviating feature confusion for generative zero-shot learning

Li, Jingjing, Zhu, Lei, Jing, Mengmeng, Yang, Yang Y., Lu, Ke and Huang, Zi (2019). Alleviating feature confusion for generative zero-shot learning. 27th ACM International Conference on Multimedia (MM), Nice, France, 21-25 October 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3343031.3350901

CRA-NEt: Composed relation attention network for visual question answering

Peng, Liang, Yang, Y., Wang, Zheng, Wu, Xiao and Huang, Zi (2019). CRA-NEt: Composed relation attention network for visual question answering. 27th ACM International Conference on Multimedia (MM), Nice, France, 21-25 October 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3343031.3350925

Curiosity-driven reinforcement learning for diverse visual paragraph generation

Luo, Yadan, Huang, Zi, Zhang, Zheng, Wang, Ziwei, Li, Jingjing and Yang, Yang (2019). Curiosity-driven reinforcement learning for diverse visual paragraph generation. 27th ACM International Conference on Multimedia (MM), Nice, France, 21-25 October 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3343031.3350961

Cycle-consistent conditional adversarial transfer networks

Li, Jingjing, Zhu, Lei, Chen, Erpeng, Lu, Ke, Ding, Zhengming and Huang, Zi (2019). Cycle-consistent conditional adversarial transfer networks. 27th ACM International Conference on Multimedia (MM), Nice, France, 21-25 October 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3343031.3350902

Deep collaborative discrete hashing with semantic-invariant structure

Wang, Zijian, Luo, Yadan, Zhang, Zheng and Huang, Zi (2019). Deep collaborative discrete hashing with semantic-invariant structure. 42nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Paris, France, 21-25 July 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3331184.3331275

Enhancing collaborative filtering with generative augmentation

Wang, Qinyong, Nguyen, Quoc Viet Hung, Yin, Hongzhi, Huang, Zi, Wang, Hao and Cui, Lizhen (2019). Enhancing collaborative filtering with generative augmentation. 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), Anchorage, AK United States, 4-8 August 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3292500.3330873

From zero-shot learning to cold-start recommendation

Li, Jingjing, Jing, Mengmeng, Lu, Ke, Zhu, Lei, Yang, Yang and Huang, Zi (2019). From zero-shot learning to cold-start recommendation. 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence, Honolulu, HI, United States, 27 January - 1 February 2019. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence.

Learning private neural language modeling with attentive aggregation

Ji, Shaoxiong, Pan, Shirui, Long, Guodong, Li, Xue, Jiang, Jing and Huang, Zi (2019). Learning private neural language modeling with attentive aggregation. 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 14-19 July 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IJCNN.2019.8852464

Leveraging the Invariant Side of Generative Zero-Shot Learning

Li, Jingjing, Jing, Mengmeng, Lu, Ke, Ding, Zhengming, Zhu, Lei and Huang, Zi (2019). Leveraging the Invariant Side of Generative Zero-Shot Learning. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA United States, 16-20 June 2019. Piscataway, NJ United States: IEEE. doi: 10.1109/CVPR.2019.00758

MR-NET: exploiting mutual relation for visual relationship detection

Bin, Yi, Yang, Yang, Tao, Chaofan, Huang, Zi, Li, Jingjing and Shen, Heng Tao (2019). MR-NET: exploiting mutual relation for visual relationship detection. 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence, Honolulu, HI, United States, 27 January - 1 February 2019. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence.

Multi-hop path queries over knowledge graphs with neural memory networks

Wang, Qinyong, Yin, Hongzhi, Wang, Weiqing, Huang, Zi, Guo, Guibing and Nguyen, Quoc Viet Hung (2019). Multi-hop path queries over knowledge graphs with neural memory networks. 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, Chiang Mai, Thailand, 22 - 25 April 2019. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-18576-3_46

Rethinking the item order in session-based recommendation with graph neural networks

Qiu, Ruihong, Li, Jingjing, Huang, Zi and Yin, Hongzhi (2019). Rethinking the item order in session-based recommendation with graph neural networks. CIKM '19 28th ACM International Conference on Information and Knowledge Management, Beijing, China, 3 - 7 November, 2019. New York, New York, USA: ACM Press. doi: 10.1145/3357384.3358010

SADIH: Semantic-Aware DIscrete Hashing

Zhang, Zheng, Xie, Guo-sen, Li, Yang, Li, Sheng and Huang, Zi (2019). SADIH: Semantic-Aware DIscrete Hashing. 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence, Honolulu, HI United States, 27 January - 1 February 2019. Palo Alto, CA United States: Association for the Advancement of Artificial Intelligence.

Coarse-to-fine annotation enrichment for semantic segmentation learning

Luo, Yadan, Wang, Ziwei, Huang, Zi, Yang, Yang and Zhao, Cong (2018). Coarse-to-fine annotation enrichment for semantic segmentation learning. 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, 22-26 October 2018. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3269206.3271672

Discrete binary hashing towards efficient fashion recommendation

Liu, Luyao, Du, Xingzhong, Zhu, Lei, Shen, Fumin and Huang, Zi (2018). Discrete binary hashing towards efficient fashion recommendation. 23rd International Conference on Database Systems for Advanced Applications, DASFAA 2018, Gold Coast, QLD Australia, 21 - 24 May 2018. Germany: Springer. doi: 10.1007/978-3-319-91452-7_8

Discrete deep learning for fast content-aware recommendation

Zhang, Yan, Yin, Hongzhi, Huang, Zi, Du, Xingzhong, Yang, Guowu and Lian, Defu (2018). Discrete deep learning for fast content-aware recommendation. 11th ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, United States, 5-9 February 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3159652.3159688

Fast parallel path concatenation for graph extraction

Shao, Yingxia, Lei, Kai, Chen, Lei, Huang, Zi, Cui, Bin, Liu, Zhongyi, Tong, Yunhai and Xu, Jin (2018). Fast parallel path concatenation for graph extraction. 34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, 16-19 April 2018. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDE.2018.00234

Feature reconstruction by laplacian eigenmaps for efficient instance search

Ke, Bingqing, Shao, Jie, Huang, Zi and Shen, Heng Tao (2018). Feature reconstruction by laplacian eigenmaps for efficient instance search. 8th ACM International Conference on Multimedia Retrieval, ICMR 2018, Yokohama, Japan, 11-14 June 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3206025.3206032

I read, I saw, I tell: texts assisted fine-grained visual classification

Li, Jingjing, Zhu, Lei, Huang, Zi, Lu, Ke and Zhao, Jidong (2018). I read, I saw, I tell: texts assisted fine-grained visual classification. 26th ACM Multimedia conference (MM 2018), Seoul, Republic of Korea, 22-26 October 2018. New York, NY, United States: Association for Computing Machinery (ACM). doi: 10.1145/3240508.3240579

Index and retrieve multimedia data: Cross-modal hashing by learning subspace relation

Liu, Luchen, Yang, Yang, Hu, Mengqiu, Xu, Xing, Shen, Fumin, Xie, Ning and Huang, Zi (2018). Index and retrieve multimedia data: Cross-modal hashing by learning subspace relation. 23rd International Conference on Database Systems for Advanced Applications, DASFAA 2018, Gold Coast, QLD Australia, 21 - 24 May 2018. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-91458-9_37

Joint event-partner recommendation in event-based social networks

Yin, Hongzhi, Zou, Lei, Nguyen, Quoc Viet Hung, Huang, Zi and Zhou, Xiaofang (2018). Joint event-partner recommendation in event-based social networks. 34th IEEE International Conference on Data Engineering (ICDE 2018), Paris, France, 16-19 April 2018. NEW YORK: IEEE. doi: 10.1109/ICDE.2018.00088

Look deeper see richer: Depth-aware image paragraph captioning

Wang, Ziwei, Luo, Yadan, Li, Yang, Huang, Zi and Yin, Hongzhi (2018). Look deeper see richer: Depth-aware image paragraph captioning. 26th ACM Multimedia conference, MM 2018, Seoul, South Korea, October 22 - 26, 2018. New York, NY, Untied States: Association for Computing Machinery, Inc. doi: 10.1145/3240508.3240583

Modal-adversarial semantic learning network for extendable cross-modal retrieval

Xu, Xing, Song, Jingkuan, Lu, Huimin, Yang, Yang, Shen, Fumin and Huang, Zi (2018). Modal-adversarial semantic learning network for extendable cross-modal retrieval. 8th ACM International Conference on Multimedia Retrieval, ICMR 2018, Yokohama, Japan, 11-14 June 2018. New York, NY, United States: Association for Computing Machinery, Inc. doi: 10.1145/3206025.3206033

Neural memory streaming recommender networks with adversarial training

Wang, Qinyong, Lian, Defu, Yin, Hongzhi, Wang, Hao, Hu, Zhiting and Huang, Zi (2018). Neural memory streaming recommender networks with adversarial training. 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2018, London, United Kingdom, 19 - 23 August 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3219819.3220004

Restricted boltzmann machine based active learning for sparse recommendation

Wang, Weiqing, Yin, Hongzhi, Huang, Zi, Sun, Xiaoshuai and Hung, Nguyen Quoc Viet (2018). Restricted boltzmann machine based active learning for sparse recommendation. 23rd International Conference on Database Systems for Advanced Applications, DASFAA 2018, Gold Coast, QLD Australia, 21 - 24 May 2018. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-91452-7_7

Streaming ranking based recommender systems

Wang, Weiqing, Yin, Hongzhi, Huang, Zi, Wang, Qinyong, Du, Xingzhong and Nguyen, Quoc Viet Hung (2018). Streaming ranking based recommender systems. 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, United States, 8-12 July 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3209978.3210016

TSAUB: a temporal-sentiment-aware user behavior model for personalized recommendation

Wang, Qinyong, Yin, Hongzhi, Wang, Hao and Huang, Zi (2018). TSAUB: a temporal-sentiment-aware user behavior model for personalized recommendation. 29th Australasian Database Conference, ADC 2018, Gold Coast, QLD, Australia, 24-27 May 2018. Heidelberg, Germany: Springer Verlag. doi: 10.1007/978-3-319-92013-9_17

Adaptively attending to visual attributes and linguistic knowledge for captioning

Bin, Yi, Yang, Yang, Zhou, Jie, Huang, Zi and Shen, Heng Tao (2017). Adaptively attending to visual attributes and linguistic knowledge for captioning. 25th ACM International Conference on Multimedia, MM 2017, Mountain View, CA, 23-27 October 2017. New York City, NY, United States: Association for Computing Machinery. doi: 10.1145/3123266.3123391

An integrated model for effective saliency prediction

Sun, Xiaoshuai, Huang, Zi, Yin, Hongzhi and Shen, Heng Tao (2017). An integrated model for effective saliency prediction. AAAI Conference on Artificial Intelligence, San Francisco, CA, United States, 4-9 February 2017. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence.

An integrated model for effective saliency prediction

Sun, Xiaoshuai, Huang, Zi, Yin, Hongzhi and Shen, Heng Tao (2017). An integrated model for effective saliency prediction. 31st AAAI Conference on Artificial Intelligence, AAAI 2017, San Francisco, CA., United States, 04-10 February 2017. Palo Alto, CA., United States: AAAI press.

Event Early embedding: Predicting event volume dynamics at early stage

Liu, Zhiwei, Yang, Yang, Huang, Zi, Shen, Fumin, Zhang, Dongxiang and Tao Shen, Heng (2017). Event Early embedding: Predicting event volume dynamics at early stage. 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2017, Shinjuku, Tokyo, Japan, 07-11 August 2017. New York, New York, United States: Association for Computing Machinery. doi: 10.1145/3077136.3080700

Event video mashup: From hundreds of videos to minutes of Skeleton

Gao, Lianli, Wang, Peng, Song, Jingkuan, Huang, Zi, Shao, Jie and Shen, Heng Tao (2017). Event video mashup: From hundreds of videos to minutes of Skeleton. 31st AAAI Conference on Artificial Intelligence, AAAI 2017, San Francisco, CA., United States, 04-10 February 2017. Palo Alto, CA., United States: AAAI press.

Exploring consistent preferences: Discrete hashing with pair-exemplar for scalable landmark search

Zhu, Lei, Huang, Zi, Chang, Xiaojun, Song, Jingkuan and Shen, Heng Tao (2017). Exploring consistent preferences: Discrete hashing with pair-exemplar for scalable landmark search. 2017 ACM on Multimedia Conference, Mountain View, California, USA, 23-27 October 2017. New York, New York, United States: Association for Computing Machinery, Inc. doi: 10.1145/3123266.3123301

From community detection to community profiling

Cai, Hongyun, Zheng, Vincent W., Zhu, Fanwei, Chang, Kevin Chen-Chuan and Huang, Zi (2017). From community detection to community profiling. 43rd International Conference on Very Large Data Bases, VLDB 2017, Munich, Germany, 28 August - 1 September 2017. New York, NY, United States: Association for Computing Machinery. doi: 10.14778/3067421.3067430

Jointly modeling static visual appearance and temporal pattern for unsupervised video hashing

Li, Chao, Yang, Yang, Cao, Jiewei and Huang, Zi (2017). Jointly modeling static visual appearance and temporal pattern for unsupervised video hashing. 26th ACM International Conference on Information and Knowledge Management, CIKM 2017, Singapore, Singapore, 06 - 10 November 2017. New York, New York, United States: Association for Computing Machinery. doi: 10.1145/3132847.3133030

Leveraging weak semantic relevance for complex video event classification

Li, Chao, Cao, Jiewei, Huang, Zi, Zhu, Lei and Shen, Heng Tao (2017). Leveraging weak semantic relevance for complex video event classification. 16th IEEE International Conference on Computer Vision (ICCV), Venice, Italy, 22-29 October 2017. Piscataway, NJ, United States: IEEE. doi: 10.1109/ICCV.2017.394

Local deep descriptors in bag-of-words for image retrieval

Cao, Jiewei, Huang, Zi and Shen, Heng Tao (2017). Local deep descriptors in bag-of-words for image retrieval. Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, 23-27 October 2017. New York, NY, USA: Association for Computing Machinery. doi: 10.1145/3126686.3127018

Multi-attention Network for One Shot Learning

Wang, Peng, Liu, Lingqiao, Shen, Chunhua, Huang, Zi, van den Hengel, Anton and Shen, Heng Tao (2017). Multi-attention Network for One Shot Learning. 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu Hi, USA, 21-26 July 2017. Washington, DC United States: IEEE Computer Society. doi: 10.1109/CVPR.2017.658

POI popularity prediction via hierarchical fusion of multiple social clues

Duan, Yaqian, Wang, Xinze, Yang, Yang, Huang, Zi, Xie, Ning and Shen, Heng Tao (2017). POI popularity prediction via hierarchical fusion of multiple social clues. 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2017, Tokyo, Shinjuku Japan, 7-11 August 2017. New York City, New York, United States: Association for Computing Machinery. doi: 10.1145/3077136.3080701

Preface

Huang, Zi, Xiao, Xiaokui and Cao, Xin (2017). Preface. 28th Australasian Database Conference, ADC 2017, Brisbane, QLD, Australia, September 25–28, 2017. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-68155-9

Social lens: searching and browsing communities by content and interaction

Cai, Hongyun, Zheng, Vincent W., Chen, Penghe, Zhu, Fanwei, Chang, Kevin Chen-Chuan and Huang, Zi (2017). Social lens: searching and browsing communities by content and interaction. 33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, CA, United States, 19 - 22 April 2017. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/ICDE.2017.194

Transductive visual-semantic embedding for zero-shot learning

Xu, Xing, Shen, Fumin, Yang, Yang, Shao, Jie and Huang, Zi (2017). Transductive visual-semantic embedding for zero-shot learning. 2017 ACM on International Conference on Multimedia Retrieval, Bucharest, Romania, 06--09 June 2017. New York, New York, United States: ACM (Association for Computing Machinery) Press. doi: 10.1145/3078971.3078977

Two birds one stone: On both cold-start and long-tail recommendation

Li, Jingjing, Lu, Ke, Huang, Zi and Shen, Heng Tao (2017). Two birds one stone: On both cold-start and long-tail recommendation. 25th ACM International Conference on Multimedia, MM 2017, California, United States, 23-27 October 2017. New York NY United States: Association for Computing Machinery. doi: 10.1145/3123266.3123316

Unifying multi-source social media data for personalized travel route planning

Hu, Gang, Shao, Jie, Shen, Fumin, Huang, Zi and Tao Shen, Heng (2017). Unifying multi-source social media data for personalized travel route planning. 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2017, Shinjuku, Tokyo, Japan, 07-11 August 2017. New York, New York, United States: Association for Computing Machinery. doi: 10.1145/3077136.3080672

A unified framework for discrete spectral clustering

Yang, Yang, Fumin, Shen, Zi, Huang and Shen, Heng Tao (2016). A unified framework for discrete spectral clustering. 25th International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, 9-15 July 2016. International Joint Conferences on Artificial Intelligence.

Quartet-net learning for visual instance retrieval

Cao, Jiewei, Huang, Zi, Wang, Peng, Li, Chao, Sun, Xiaoshuai and Shen, Heng Tao (2016). Quartet-net learning for visual instance retrieval. 24th ACM Multimedia Conference, MM 2016, Amsterdam, The Netherlands, 15 - 19 October 2016. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2964284.2967262

Supervised robust discrete multimodal hashing for cross-media retrieval

Yan, Ting-Kun, Xu, Xin-Shun, Guo, Shanqing, Huang, Zi and Wang, Xiao-Lin (2016). Supervised robust discrete multimodal hashing for cross-media retrieval. 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, United States, 24 - 28 October 2016. New York, NY, United States: ACM. doi: 10.1145/2983323.2983743

Using detected visual objects to index video database

Du, Xingzhong, Yin, Hongzhi, Huang, Zi, Yang, Yi and Zhou, Xiaofang (2016). Using detected visual objects to index video database. Australasian Database Conference on Databases Theory and Applications, Sydney, Australia, 28-29 September 2016. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-46922-5_26

What's Wrong with that Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution

Wang, Peng, Liu, Lingqiao, Shen, Chunhua, Huang, Zi, van den Hengel, Anton and Shen, Heng Tao (2016). What's Wrong with that Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution. 29th IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Las Vegas Nv, 26 June - 1 July 2016. Piscataway NJ, United States: IEEE. doi: 10.1109/CVPR.2016.174

A multi-label least-squares hashing for scalable image search

Wang, Shengsheng, Huang, Zi and Xu, Xin-Shun (2015). A multi-label least-squares hashing for scalable image search. SIAM International Conference on Data Mining 2015, SDM 2015, Vancouver, Canada, 30 April - 2 May 2015. Red Hook, NY, United States: Society for Industrial and Applied Mathematics Publications.

Joint modeling of users' interests and mobility patterns for point-of-interest recommendation

Yin, Hongzhi, Cui, Bin, Huang, Zi, Wang, Weiqing, Wu, Xian and Zhou, Xiaofang (2015). Joint modeling of users' interests and mobility patterns for point-of-interest recommendation. 23rd ACM International Conference on Multimedia, MM 2015, Brisbane, QLD, Australia, 26-30 October, 2015. New York, NY, United States: Association for Computing Machinery, Inc. doi: 10.1145/2733373.2806339

Spatial-Aware multimodal location estimation for social images

Cao, Jiewei, Huang, Zi and Yang, Yang (2015). Spatial-Aware multimodal location estimation for social images. 23rd ACM International Conference on Multimedia 2015, Brisbane, QLD Australia, 26-30 October 2015. New York, NY United States: Association for Computing Machinery. doi: 10.1145/2733373.2806249

Truth discovery in material science databases

Belisle, Eve, Huang, Zi and Gheribi, Aimen (2015). Truth discovery in material science databases. 26th Australasian Database Conference (ADC), Melbourne, Australia, 4-7 Jun 2015. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-19548-3_22

UQMG @ TRECVID 2015: Instance search

Cao, Jiewei, Huang, Zi and Shen, Heng Tao (2015). UQMG @ TRECVID 2015: Instance search. National Institute of Standards and Technology (NIST).

What are popular: Exploring twitter features for event detection, tracking and visualization

Cai, Hongyun, Yang, Yang, Li, Xuefei and Huang, Zi (2015). What are popular: Exploring twitter features for event detection, tracking and visualization. 23rd ACM International Conference on Multimedia, MM 2015, Brisbane, QLD Australia, 26-30 October 2015. New York, NY United States: Association for Computing Machinery. doi: 10.1145/2733373.2806236

A temporal context-aware model for user behavior modeling in social media systems

Yin, Hongzhi, Cui, Bin, Chen, Ling, Hu, Zhiting and Huang, Zi (2014). A temporal context-aware model for user behavior modeling in social media systems. 2014 ACM SIGMOD International Conference on Management of Data, SIGMOD 2014, Snowbird, UT United States, 22-27 June 2014. New York, NY United States: Association for Computing Machinery. doi: 10.1145/2588555.2593685

EventEye: Monitoring evolving events from tweet streams

Cai, Hongyun, Tang, Zhongxian, Yang, Yang and Huang, Zi (2014). EventEye: Monitoring evolving events from tweet streams. 2014 ACM Conference on Multimedia, MM 2014, Orlando, FL United States, 3 - 7 November 2014. New York, NY United States: Association for Computing Machinery. doi: 10.1145/2647868.2654871

Multi-output regression with tag correlation analysis for effective image tagging

Cai, Hongyun, Huang, Zi, Zhu, Xiaofeng, Zhang, Qing and Li, Xuefei (2014). Multi-output regression with tag correlation analysis for effective image tagging. 19th International Conference on Database Systems for Advanced Applications, DASFAA 2014, Bali, Indonesia, 21 - 24 April 2014. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-05813-9_3

SK-LSH: an efficient index structure for approximate nearest neighbor search

Liu, Yingfan, Cui, Jiangtao, Huang, Zi, Li, Hui and Shen, Heng Tao (2014). SK-LSH: an efficient index structure for approximate nearest neighbor search. 40th International Conference on Very Large Data Bases, Hangzhou, China, 1-15 September 2014. Burlington, MA, USA: Morgan Kaufmann Publishers. doi: 10.14778/2732939.2732947

Scalable gaussian process regression for prediction of material properties

Belisle, Eve, Huang, Zi and Gheribi, A. (2014). Scalable gaussian process regression for prediction of material properties. 25th Australasian Database Conference, ADC 2014, Brisbane, QLD Australia, 14 - 16 July2014. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-08608-8_4

UQ-DKE's participation at MediaEval 2014 placing Task

Cao, Jiewei, Huang, Zi, Yang, Yang and Shen, Heng Tao (2014). UQ-DKE's participation at MediaEval 2014 placing Task. Multimedia Benchmark Workshop, MediaEval 2014, Barcelona, Spain, 16-17 October 2014. Aachen, Germany: CEUR-WS.

WeMash: an online system for web video mashup

Wang, Peng, Yang, Yang, Huang, Zi, Cao, Jiewei and Shen, Heng Tao (2014). WeMash: an online system for web video mashup. ACM Multimedia 2014: 22nd ACM International Conference on Multimedia, Orlando, FL, USA, 3-7 November, 2014. New York, NY, USA: ACM (Association for Computing Machinery). doi: 10.1145/2647868.2654868

Data Centric Research at The University of Queensland

Zhou, Xiaofang, Sadiq, Shazia, Shen, Heng Tao, Li, Xue, Sharaf, Mohamed A.., Huang, Zi, Zheng, Kai, Hunter, Jane, Green, Peter and Indulska, Marta (2013). Data Centric Research at The University of Queensland. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2536669.2536682

Imagilar: A real-time image similarity search system on mobile platform

Luo, Bicheng, Huang, Zi, Cai, Hongyun and Yang, Yang (2013). Imagilar: A real-time image similarity search system on mobile platform. 14th International Conference on Web Information Systems Engineering, WISE 2013, Nanjing, 13 - 15 October 2013. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-41154-0_47

Inter-media hashing for large-scale retrieval from heterogeneous data sources

Song, Jingkuan, Yang, Yang, Yang, Yi, Huang, Zi and Shen, Heng Tao (2013). Inter-media hashing for large-scale retrieval from heterogeneous data sources. SIGMOD/PODS'13 International Conference on Management of Data, New York, United States, 22-27 June 2013. New York, United States: Association for Computing Machinery. doi: 10.1145/2463676.2465274

Linear cross-modal hashing for efficient multimedia search

Zhu, Xiaofeng, Huang, Zi, Shen, Heng Tao and Zhao, Xin (2013). Linear cross-modal hashing for efficient multimedia search. ACM Multimedia 2013: The 21st ACM International Conference on Multimedia, Barcelona, Spain, 21-25 October, 2013. New York, NY, United States: The Association for Computing Machinery (ACM). doi: 10.1145/2502081.2502107

Multi-view visual classification via a mixed-norm regularizer

Zhu, Xiaofeng, Huang, Zi and Wu, Xindong (2013). Multi-view visual classification via a mixed-norm regularizer. 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013, Gold Coast, QLD, 14 - 17 April 2013. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-37453-1_43

Near-optimal partial linear scan for nearest neighbor search in high-dimensional space

Cui, Jiangtao, Huang, Zi, Wang, Bo and Liu, Yingfan (2013). Near-optimal partial linear scan for nearest neighbor search in high-dimensional space. 18th International Conference on Database Systems for Advanced Applications, DASFAA 2013, Wuhan, April 22, 2013-April 25, 2013. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-37487-6_10

Presenting diverse location views with real-time near-duplicate photo elimination

Liu, Jiajun, Huang, Zi, Cheng, Hong, Chen, Yueguo, Shen, Heng Tao and Zhang, Yanchun (2013). Presenting diverse location views with real-time near-duplicate photo elimination. 29th IEEE International Conference on Data Engineering (ICDE), Brisbane, Australia, 8-12 April 2013. Washington, United States: IEEE. doi: 10.1109/ICDE.2013.6544851

Spatio-temporal event modeling and ranking

Li, Xuefei, Cai, Hongyun, Huang, Zi, Yang, Yang and Zhou, Xiaofang (2013). Spatio-temporal event modeling and ranking. 14th International Conference on Web Information Systems Engineering, WISE 2013, Nanjing, 13 - 15 October 2013. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-41154-0_27

Context sensitive tag expansion with information inference

Cai, Hongyun, Huang, Zi, Shao, Jie and Li, Xue (2012). Context sensitive tag expansion with information inference. 17th International Conference on Database Systems for Advanced Applications, DASFAA 2012, Busan, South Korea, 15-19 April 2012. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-29038-1_32

Discovering areas of interest with geo-tagged images and check-ins

Liu, Jiajun, Huang, Zi, Chen, Lei, Shen, Heng Tao and Yan, Zhixian (2012). Discovering areas of interest with geo-tagged images and check-ins. 20th ACM International Conference on Multimedia (MM'12), Nara, Japan, 29 October - 2 November 2012. New York, United States: ACM. doi: 10.1145/2393347.2393429

On the prediction of re-tweeting activities in social networks – a report on WISE 2012 Challenge

Unankard, Sayan, Chen, Ling, Li, Peng, Wang, Sen, Huang, Zi, Sharaf, Mohamed A. and Li, Xue (2012). On the prediction of re-tweeting activities in social networks – a report on WISE 2012 Challenge. 13th International Conference on Web Information Systems Engineering (WISE 2012), Paphos, Cyprus, 28 - 30 November 2012. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-35063-4_61

Robust cross-media transfer for visual event detection

Yang, Yang, Yang, Yi, Huang, Zi, Liu, Jianjun and Ma, Zhigang (2012). Robust cross-media transfer for visual event detection. 20th ACM International Conference on Multimedia (MM'12), Nara, Japan, 29 October - 2 November 2012. New York, United States: ACM. doi: 10.1145/2393347.2396379

Effective data co-reduction for multimedia similarity search

Huang, Zi, Shen, Heng Tao, Liu, Jiajun and Zhou, Xiaofang (2011). Effective data co-reduction for multimedia similarity search. 2011 ACM SIGMOD/PODS Conference, Athens, Greece, 12-16 June 2011. New York, United States: ACM (Association for Computing Machinery) Press. doi: 10.1145/1989323.1989430

Efficient histogram-based similarity search in ultra-high dimensional space

Liu, Jiajun, Huang, Zi, Shen, Heng Tao and Zhou, Xiaofang (2011). Efficient histogram-based similarity search in ultra-high dimensional space. 16th International Conference on Database Systems for Advanced Applications, DASFAA 2011, Hong Kong, China, 22-25 April 2011. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-20152-3_1

Multiple feature hashing for real-time large scale near-duplicate video retrieval

Song, Jingkuan, Yang, Yi, Huang, Zi, Shen, Heng Tao and Hong, Richang (2011). Multiple feature hashing for real-time large scale near-duplicate video retrieval. 19th ACM International Conference on Multimedia ACM Multimedia 2011 (MM’11), Scottsdale, AZ, United States, 28 November - 2 December 2011. New York, United States: ACM Press. doi: 10.1145/2072298.2072354

Probabilistic image tagging with tags expanded by text-based search

Zhang, Xiaoming, Huang, Zi, Shen, Heng Tao and Li, Zhoujun (2011). Probabilistic image tagging with tags expanded by text-based search. 16th International Conference on Database Systems for Advanced Applications, DASFAA 2011, Hong Kong, China, 22-23 April 2011. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-20149-3_21

Tag localization with spatial correlations and joint group sparsity

Yang, Yang, Yang, Yi, Huang, Zi, Shen, Heng Tao and Nie, Feiping (2011). Tag localization with spatial correlations and joint group sparsity. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, CO, United States, 20-25 June 2011. Piscataway, NJ, United States: IEEE. doi: 10.1109/CVPR.2011.5995499

Tagging image with informative and correlative tags

Zhang, Xiaoming, Shen, Heng Tao, Huang, Zi and Li, Zhoujun (2011). Tagging image with informative and correlative tags. 13th Asia-Pacific Conference on Web Technology, APWeb 2011, Beijing, China, 18-20 April 2011. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-20291-9

Transfer tagging from image to video

Yang, Yang, Yang, Yi, Huang, Zi and Shen, Heng Tao (2011). Transfer tagging from image to video. 19th ACM International Conference on Multimedia ACM Multimedia 2011 (MM’11), Scottsdale, AZ, United States, 28 November-01 December 2011. New York, United States: ACM Press. doi: 10.1145/2072298.2071958

UQMSG experiments for TRECVID 2011

Shen, Heng Tao, Shao, Jie, Huang, Zi, Yang, Yang, Song, Jingkuan, Liu, Jiajun and Zhu, Xiaofeng (2011). UQMSG experiments for TRECVID 2011. TREC Video Retrieval Evaluation, TRECVID 2011, Gaithersburg, MD, United States, 5 - 7 December 2011. National Institute of Standards and Technology.

Video-to-shot tag allocation by weighted sparse group lasso

Zhu, Xiaofeng, Huang, Zi and Shen, Heng Tao (2011). Video-to-shot tag allocation by weighted sparse group lasso. 19th ACM International Conference on Multimedia ACM Multimedia 2011 (MM’11), Scottsdale, AZ, United States, 28 November - 2 December 2011. New York, United States: ACM Press. doi: 10.1145/2072298.2072050

l2,1-norm regularized discriminative feature selection for unsupervised learning

Yang, Yi, Shen, Heng Tao, Ma, Zhigang, Huang, Zi and Zhou, Xiaofang (2011). l2,1-norm regularized discriminative feature selection for unsupervised learning. International Joint Conference on Artificial Intelligence - IJCAI 2011, Barcelona, Catalonia, Spain, 16-22 July 2011. Menlo Park, CA, USA: AAAI Press/International Joint Conferences on Artificial Intelligence. doi: 10.5591/978-1-57735-516-8/IJCAI11-267

Efficient and continuous near-duplicate video detection

Xie, Qing, Huang, Zi, Shen, Heng Tao, Zhou, Xiaofang and Pan, Chaoyi (2010). Efficient and continuous near-duplicate video detection. Web Conference (APWEB), 2010 12th International Asia-Pacific, Busan, South Korea, 6-8 April 2010. Piscataway NJ, U.S.A.: IEEE. doi: 10.1109/APWeb.2010.72

Dimension-specific search for multimedia retrieval

Huanh, Zi, Shen, Heng Tao, Song, Dawei, Li, Xue and Rueger, Stefan (2009). Dimension-specific search for multimedia retrieval. 14th International Conference, DASFAA 2009, Brisbane, Australia, 21-23 April 2009. Berlin, Germany; New York, U.S.A.: Springer. doi: 10.1007/978-3-642-00887-0

High-dimensional indexing with oriented cluster representation for multimedia databases

Shen, HT, Huang, Z, Cao, JL and Zhou, XF (2009). High-dimensional indexing with oriented cluster representation for multimedia databases. 2009 IEEE International Conference on Multimedia and Expo, ICME 2009, New York, NY, U.S.A., 28 June-3 July 2009. Piscatawa, NJ, U.S.A.: IEEE. doi: 10.1109/ICME.2009.5202831

Interactive near-duplicate video retrieval and detection

Cheng, Ran, Huang, Zi, Shen, Heng Tao and Zhou, Xiaofang (2009). Interactive near-duplicate video retrieval and detection. 17th International Conference on Multimedia, Beijing, China, 19-22 October 2009. USA: Association of Computing Machinery. doi: 10.1145/1631272.1631489

Online near-duplicate video clip detection and retrieval: An accurate and fast system

Huang, Z, Wang, LP, Shen, HT, Shao, J and Zhou, XF (2009). Online near-duplicate video clip detection and retrieval: An accurate and fast system. ICDE'09: 25th International Conference on Data Engineering, Shanghai, China, 29 March -2 April 2009. Bethesda MD, U.S.A.: IEEE. doi: 10.1109/ICDE.2009.17

Dissimilarity measures for content-based image retrieval

Hu, Rui, Rüger, Stefan, Song, Dawei, Liu, Haiming and Huang, Zi (2008). Dissimilarity measures for content-based image retrieval. doi: 10.1109/ICME.2008.4607697

Batch nearest neighbor search for video retrieval

Shao, Jie, Huang, Zi, Shen, Heng Tao, Zhou, Xiaofang, Lim, Ee-Peng and Li, Yijun (2008). Batch nearest neighbor search for video retrieval. doi: 10.1109/TMM.2008.917339

Content-Based Video Search: is there a need, and is it possible?

Huang, Zi, Li, Yijun, Shao, Jie, Shen, Heng Tao, Wang, Liping, Zhang, Danqing, Zhou, Xiangmin and Zhou, Xiaofang (2008). Content-Based Video Search: is there a need, and is it possible?. INGS, International Workshop on Information-Explosion and Next Generation Search, Shenyang, China, 26-27 April, 2008. Bethesda MD, U.S.A.: IEEE. doi: 10.1109/INGS.2008.16

Distribution-based similarity measures for Multi-dimensional point set retrieval applications

Shao, Jie, Huang, Zi, Shen, Heng Tao, Shen, Jialie and Zhou, Xiaofang (2008). Distribution-based similarity measures for Multi-dimensional point set retrieval applications. 16th ACM International Conference on Multimedia, Vancouver BC, Canada, 27-31 October 2008. New York, U.S A.: Association for Computing Machinery. doi: 10.1145/1459359.1459417

Locality condensation: A new dimensionality reduction method for image retrieval

Huang, Z., Shen, H.T., Shao, J., Rueger, S. and Zhou, X. (2008). Locality condensation: A new dimensionality reduction method for image retrieval. 16th ACM International Conference on Multimedia, Vancouver BC, Canada, 27-31 October 2008. New York, U.S A.: Association for Computing Machinery. doi: 10.1145/1459359.1459389

Dimensionality reduction for dimension-specific search

Huang, Z., Shen, H. T., Zhou, X., Song, D. and Rüger, S. M. (2007). Dimensionality reduction for dimension-specific search. 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2007, Amsterdam, The Netherlands, 23-27 July, 2007. New York: ACM. doi: 10.1145/1277741.1277940

Dual dimensionality reduction for efficient video similarity search

Huang, Zi, Shen, Heng Tao, Zhou, Xiaofang and Shao, Jie (2007). Dual dimensionality reduction for efficient video similarity search. 9th International Conference, DaWaK 2007: Data Warehousing and Knowledge Discovery, Regensburg, Germany, 3-7 September 2007. Berlin, Germany: Springer. doi: 10.1007/978-3-540-74553-2_37

Dynamic batch nearest neighbor search in video retrieval

Shao, Jie, Huang, Zi, Shen, Heng Tao, Zhou, Xiaofang and Li, Yijun (2007). Dynamic batch nearest neighbor search in video retrieval. IEEE 23rd International Conference on Data Engineering, 2007 (ICDE 2007), Istanbul, Turkey, 15-20 April 2007. Los Alamitos, California, U.S.A.: IEEE. doi: 10.1109/ICDE.2007.369020

Statistical summarization of content features for fast near-duplicate video detection

Shen, H. T., Zhou, X., Huang, Z. and Shao, J. (2007). Statistical summarization of content features for fast near-duplicate video detection. ACM Multimedia 2007, Augsburg, Germany, 24–29 September 2007. New York, U.S.A.: Association for Computing Machinery. doi: 10.1145/1291233.1291271

The University of Queensland at TRECVID 2007 search task

Shen H.T., Zhou X., Shao J. and Huang Z. (2007). The University of Queensland at TRECVID 2007 search task. TREC Video Retrieval Evaluation, TRECVID 2007, Gaithersburg, MD, November 5, 2007-November 6, 2007. National Institute of Standards and Technology.

UQLIPS: A real-time near-duplicate video clip detection system

Shen, Heng Tao, Zhou, Xiaofang, Huang, Zi, Shao, Jie and Zhou, Xiangmin (2007). UQLIPS: A real-time near-duplicate video clip detection system. 33rd International Conference on Very Large Data Bases (VLDB 2007), Vienna, Austria, 23-28 September, 2007. USA: VLDB Endowment.

UQLIPS: A real-time near-duplicate video clip detection system

Shen, Heng Tao, Zhou, Xiaofang, Huang, Zi, Shao, Jie and Zhou, Xiangmin (2007). UQLIPS: A real-time near-duplicate video clip detection system. Association for Computing Machinery, Inc.

3D protein structure matching by patch signatures

Huang, Zi, Zhou, Xiaofang, Shen, Heng Tao and Song, Dawei (2006). 3D protein structure matching by patch signatures. 17th International Conference on Database and Expert Systems Applications (DEXA 2006), Krakow, Poland, 4-8 September, 2006. Germany: Springer-Verlag. doi: 10.1007/11827405

Dimensionality reduction in patch-signature based protein structure matching

Huang, Z, Zhou, X, Song, and Bruza, P. (2006). Dimensionality reduction in patch-signature based protein structure matching. 17th Australasian Database Conference (ADC2006), Tasmania, Australia, 16-19 January, 2006. New South Wales: Australian Computer Society Inc..

Dimensionality reduction in patch-signature based protein structure matching

Huang, Zi, Zhou, Xiaofang, Song, Dawei and Bruza, Peter (2006). Dimensionality reduction in patch-signature based protein structure matching. 17th Australasian Database Conference, ADC 2006, Hobart, TAS Australia, 16 - 19 January 2006. Sydney, NSW Australia: Australian Computer Society.

High dimensional indexing for protein structure matching using bowties

Huang, H.Z., Zhou, X. and Song, (2005). High dimensional indexing for protein structure matching using bowties. 3rd Asia Pacific Bioinformatics Conference (APBC 2005), Singapore, 17-21 January, 2005. London: Imperial College Press. doi: 10.1142/9781860947322_0003

Back to the future: A logical framework for temporal information representation and inferencing from financial news

Huang, Z., Wong, K-F., Li, W., Song, D. and Bruza, P. (2003). Back to the future: A logical framework for temporal information representation and inferencing from financial news. The 2003 International Conference on Natural Language Processing and Knowledge Engineering, Beijing, China, 26-29 October, 2003. Piscataway, NJ: The Institute of Electrical and Electronics Engineers. doi: 10.1109/NLPKE.2003.1275875

Belief revision for adaptive negotiation agents

Lau, R., Essam, B., Chan, S. and Huang, Z. (2003). Belief revision for adaptive negotiation agents. The IEEE/WIC International Conference on Intelligent Agent Technology 2003 (IAT 2003), Halifax, Canada, 13-16 October 2003. Los Alamitos, CA, U.S.A.: IEEE Computer Society. doi: 10.1109/IAT.2003.1241068

Classifying document titles based on information inference

Song, D., Bruza, P., Huang, Z. and Lau, R. (2003). Classifying document titles based on information inference. The Fourteenth International Symposium on Methodologies for Intelligent Systems, Maebashi City, Japan, 28-31 October, 2003. Berlin: Springer-Verlag.

Classifying document titles based on information inference

Song, Dawei, Bruza, Peter, Huang, Zi and Lau, Raymond (2003). Classifying document titles based on information inference. Springer Verlag. doi: 10.1007/978-3-540-39592-8_41

Web Information Systems Engineering – WISE 2022 : 23rd International Conference, Proceedings

Chbeir, Richard, Huang, Helen, Silvestri, Fabrizio, Manolopoulos, Yannis and Zhang, Yanchun eds. (2022). Web Information Systems Engineering – WISE 2022 : 23rd International Conference, Proceedings. WISE 2022 : 23rd International Conference, Biarritz, France, 1–3 November 2022. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-20891-1

Real-Time near duplicate video clip detection method

Shen, Heng Tao, Huang, Zi and Zhou, Xiaofang (2009). Real-Time near duplicate video clip detection method. 12/180037.

SUMMARIZATION-BASED SIMILARITY SEARCH FOR COMPLEX DATABASES

Huang, Zi (2007). SUMMARIZATION-BASED SIMILARITY SEARCH FOR COMPLEX DATABASES. PhD Thesis, School of Information Technology and Electrical Engineering, University of Queensland.