The University of Queensland

An efficient and effective approach for multi-fact extraction from text corpus

Qu, Jianfeng, Hua, Wen, Ouyang, Dantong and Zhou, Xiaofang (2022). An efficient and effective approach for multi-fact extraction from text corpus. World Wide Web, 25 (1), 195-218. doi: 10.1007/s11280-021-00982-4

Information resilience: the nexus of responsible and agile approaches to information use

Sadiq, Shazia, Aryani, Amir, Demartini, Gianluca, Hua, Wen, Indulska, Marta, Burton-Jones, Andrew, Khosravi, Hassan, Benavides-Prado, Diana, Sellis, Timos, Someh, Ida, Vaithianathan, Rhema, Wang, Sen and Zhou, Xiaofang (2022). Information resilience: the nexus of responsible and agile approaches to information use. The VLDB Journal. doi: 10.1007/s00778-021-00720-2

SoulMate: Short-text author linking through multi-aspect temporal-textual embedding

Najafipour, Saeed, Hosseini, Saeid, Hua, Wen, Kangavari, Mohammad Reza and Zhou, Xiaofang (2022). SoulMate: Short-text author linking through multi-aspect temporal-textual embedding. IEEE Transactions on Knowledge and Data Engineering, 34 (1), 448-461. doi: 10.1109/TKDE.2020.2982148

Temporal knowledge completion with context-aware embeddings

Liu, Yu, Hua, Wen, Qu, Jianfeng, Xin, Kexuan and Zhou, Xiaofang (2021). Temporal knowledge completion with context-aware embeddings. World Wide Web, 24 (2), 675-695. doi: 10.1007/s11280-021-00867-6

LoG: a locally-global model for entity disambiguation

Xin, Kexuan, Hua, Wen, Liu, Yu and Zhou, Xiaofang (2020). LoG: a locally-global model for entity disambiguation. World Wide Web, 24 (1), 351-373. doi: 10.1007/s11280-020-00845-4

Temporal knowledge extraction from large-scale text corpus

Liu, Yu, Hua, Wen and Zhou, Xiaofang (2020). Temporal knowledge extraction from large-scale text corpus. World Wide Web, 24 (1), 135-156. doi: 10.1007/s11280-020-00836-5

Editorial of special issue of WISE 2019

Cheng, Reynold, Wang, Sibo, Hua, Wen and Huang, Xin (2020). Editorial of special issue of WISE 2019. Data Science and Engineering, 5 (3), 205-206. doi: 10.1007/s41019-020-00139-9

Preface

Zhou, Xiaofang and Hua, Wen (2020). Preface. Journal of Computer Science and Technology, 35 (4), 721-723. doi: 10.1007/s11390-020-0005-5

Data-driven photovoltaic generation forecasting based on Bayesian network with spatial-temporal correlation analysis

Zhang, Ruiyuan, Ma, Hui, Hua, Wen, Saha, Tapan and Zhou, Xiaofang (2020). Data-driven photovoltaic generation forecasting based on Bayesian network with spatial-temporal correlation analysis. IEEE Transactions on Industrial Informatics, 16 (3) 8746200, 1635-1644. doi: 10.1109/tii.2019.2925018

A survey and quantitative study on map inference algorithms from GPS trajectories

Chao, Pingfu, Hua, Wen, Mao, Rui, Xu, Jiajie and Zhou, Xiaofang (2020). A survey and quantitative study on map inference algorithms from GPS trajectories. IEEE Transactions on Knowledge and Data Engineering, 34 (1), 1-14. doi: 10.1109/tkde.2020.2977034

Stream processing of shortest path query in dynamic road networks

Zhang, Mengxuan, Li, Lei, Hua, Wen and Zhou, Xiaofang (2020). Stream processing of shortest path query in dynamic road networks. IEEE Transactions on Knowledge and Data Engineering, 34 (5), 1-1. doi: 10.1109/tkde.2020.3010005

Trajectories know where map is wrong: an iterative framework for map-trajectory co-optimisation

Chao, Pingfu, Hua, Wen and Zhou, Xiaofang (2019). Trajectories know where map is wrong: an iterative framework for map-trajectory co-optimisation. World Wide Web, 23 (1), 47-73. doi: 10.1007/s11280-019-00721-w

Go slow to go fast: minimal on-road time route scheduling with parking facilities using historical trajectory

Li, Lei, Zheng, Kai, Wang, Sibo, Hua, Wen and Zhou, Xiaofang (2018). Go slow to go fast: minimal on-road time route scheduling with parking facilities using historical trajectory. VLDB Journal, 27 (3), 321-345. doi: 10.1007/s00778-018-0499-4

Distant supervision for neural relation extraction integrated with word attention and property features

Qu, Jianfeng, Ouyang, Dantong, Hua, Wen, Ye, Yuxin and Li, Ximing (2018). Distant supervision for neural relation extraction integrated with word attention and property features. Neural Networks: The Official Journal of the International Neural Network Society, 100, 59-69. doi: 10.1016/j.neunet.2018.01.006

Efficient clue-based route search on road networks

Zheng, Bolong, Su, Han, Hua, Wen, Zheng, Kai, Zhou, Xiaofang and Li, Guohui (2017). Efficient clue-based route search on road networks. IEEE Transactions On Knowledge and Data Engineering, 29 (9) 7926432, 1846-1859. doi: 10.1109/TKDE.2017.2703848

Minimal on-road time route scheduling on time-dependent graphs

Li, Lei, Hua, Wen, Du, Xingzhong and Zhou, Xiaofang (2017). Minimal on-road time route scheduling on time-dependent graphs. Proceedings of the VLDB Endowment, 10 (11), 1274-1285. doi: 10.14778/3137628.3137638

Understand short texts by harvesting and analyzing semantic knowledge

Hua, Wen, Wang, Zhongyuan, Wang, Haixun, Zheng, Kai and Zhou, Xiaofang (2017). Understand short texts by harvesting and analyzing semantic knowledge. IEEE Transactions on Knowledge and Data Engineering, 29 (3) 7476863, 499-512. doi: 10.1109/TKDE.2016.2571687

HD-GDD: high dimensional graph dominance drawing approach for reachability query

Li, Lei, Hua, Wen and Zhou, Xiaofang (2016). HD-GDD: high dimensional graph dominance drawing approach for reachability query. World Wide Web, 20 (4), 1-20. doi: 10.1007/s11280-016-0407-z

Information extraction from microblogs: a survey

Hua, Wen, Huynh, Dat T., Hosseini, Saeid, Lu, Jiaheng and Zhou, Xiaofang (2012). Information extraction from microblogs: a survey. International Journal of Software and Informatics, 6 (4), 495-522.

Informed multi-context entity alignment

Xin, Kexuan, Sun, Zequn, Hua, Wen, Hu, Wei and Zhou, Xiaofang (2022). Informed multi-context entity alignment. New York, NY, USA: Association for Computing Machinery, Inc. doi: 10.1145/3488560.3498523

ActiveEA: Active learning for neural entity alignment

Liu, Bing, Scells, Harrisen, Zuccon, Guido, Hua, Wen and Zhao, Genghong (2021). ActiveEA: Active learning for neural entity alignment. 2021 Conference on Empirical Methods in Natural Language Processing, Punta Cana, Dominican Republic, November 2021. Stroudsburg, PA, United States: Association for Computational Linguistics. doi: 10.18653/v1/2021.emnlp-main.270

Summarizing Long-Form Document with Rich Discourse Information

Zhu, Tianyu, Hua, Wen, Qu, Jianfeng and Zhou, Xiaofang (2021). Summarizing Long-Form Document with Rich Discourse Information. New York, NY, USA: Association for Computing Machinery. doi: 10.1145/3459637.3482396

Efficient 2-hop labeling maintenance in dynamic small-world networks

Zhang, Mengxuan, Li, Lei, Hua, Wen and Zhou, Xiaofang (2021). Efficient 2-hop labeling maintenance in dynamic small-world networks. 2021 IEEE 37th International Conference on Data Engineering (ICDE), Chania, Greece, 19 - 22 April 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icde51399.2021.00019

Efficient constrained shortest path query answering with forest hop labeling

Liu, Ziyi, Li, Lei, Zhang, Mengxuan, Hua, Wen, Chao, Pingfu and Zhou, Xiaofang (2021). Efficient constrained shortest path query answering with forest hop labeling. 2021 IEEE 37th International Conference on Data Engineering (ICDE), Chania, Greece, 19 - 22 April 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icde51399.2021.00155

Dynamic hub labeling for road networks

Zhang, Mengxuan, Li, Lei, Hua, Wen, Mao, Rui, Chao, Pingfu and Zhou, Xiaofang (2021). Dynamic hub labeling for road networks. 2021 IEEE 37th International Conference on Data Engineering (ICDE), Chania, Greece, 19 - 22 April 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icde51399.2021.00036

An Efficient Approach for Spatial Trajectory Anonymization

Wang, Yuetian, Hua, Wen, Jin, Fengmei, Qiu, Jing and Zhou, Xiaofang (2021). An Efficient Approach for Spatial Trajectory Anonymization. Springer Science and Business Media Deutschland GmbH. doi: 10.1007/978-3-030-90888-1_44

Diagnosis ranking with knowledge graph convolutional networks

Liu, Bing, Zuccon, Guido, Hua, Wen and Chen, Weitong (2021). Diagnosis ranking with knowledge graph convolutional networks. 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28-April 1 2021. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-72113-8_24

Route reconstruction using low-quality bluetooth readings

Xu, Yehong, He, Dan, Chao, Pingfu, Kim, Jiwon, Hua, Wen and Zhou, Xiaofang (2020). Route reconstruction using low-quality bluetooth readings. 28th International Conference on Advances in Geographic Information Systems, Online, 3 - 6 November 2020. New York NY, United States: Association for Computing Machinery. doi: 10.1145/3397536.3422224

A survey on map-matching algorithms

Chao, Pingfu, Xu, Yehong, Hua, Wen and Zhou, Xiaofang (2020). A survey on map-matching algorithms. 31st Australasian Database Conference, Melbourne, VIC Australia, 3-7 February 2020. CHAM: Springer. doi: 10.1007/978-3-030-39469-1_10

Fast query decomposition for batch shortest path processing in road networks

Li, Lei, Zhang, Mengxuan, Hua, Wen and Zhou, Xiaofang (2020). Fast query decomposition for batch shortest path processing in road networks. International Conference on Data Engineering (ICDE), Dallas, TX, United States, 20-24 April 2020. Piscataway, NJ, United States: IEEE. doi: 10.1109/icde48307.2020.00107

Few-shot human activity recognition on noisy wearable sensor data

Deng, Shizhuo, Hua, Wen, Wang, Botao, Wang, Guoren and Zhou, Xiaofang (2020). Few-shot human activity recognition on noisy wearable sensor data. DASFAA 2020: Database Systems for Advanced Applications, Jeju, South Korea, 24–27 September 2020. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-59416-9_4

Typical snapshots selection for shortest path query in dynamic road networks

Zhang, Mengxuan, Li, Lei, Hua, Wen and Zhou, Xiaofang (2020). Typical snapshots selection for shortest path query in dynamic road networks. Australasian Database Conference, Melbourne, VIC, Australia, 3-7 February 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-39469-1_9

A fine-grained and noise-aware method for neural relation extraction

Qu, Jianfeng, Hua, Wen, Ouyang, Dantong, Zhou, Xiaofang and Li, Ximing (2019). A fine-grained and noise-aware method for neural relation extraction. 28th ACM International Conference on Information and Knowledge Management, Beijing, China, November, 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3357384.3357997

An iterative map-trajectory co-optimisation framework based on map-matching and map update

Chao, Pingfu, Hua, Wen and Zhou, Xiaofang (2019). An iterative map-trajectory co-optimisation framework based on map-matching and map update. 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, Chiang Mai, Thailand, 22 - 25 April, 2019. Germany: Springer Verlag. doi: 10.1007/978-3-030-18590-9_34

Batch processing of shortest path queries in road networks

Zhang, Mengxuan, Li, Lei, Hua, Wen and Zhou, Xiaofang (2019). Batch processing of shortest path queries in road networks. 30th Australasian Database Conference, ADC 2019, Sydney, NSW, 29 January -1 February 2019. Cham, Switzerland: Springer Verlag. doi: 10.1007/978-3-030-12079-5_1

Context-Aware Temporal Knowledge Graph Embedding

Liu, Yu, Hua, Wen, Xin, Kexuan and Zhou, Xiaofang (2019). Context-Aware Temporal Knowledge Graph Embedding. 20th International Conference, Web Information Systems Engineering – WISE 2019, Hong Kong, China, 19–22 January 2020. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-34223-4_37

Discovering correlations between sparse features in distant supervision for relation extraction

Qu, Jianfeng, Ouyang, Dantong, Hua, Wen, Ye, Yuxin and Zhou, Xiaofang (2019). Discovering correlations between sparse features in distant supervision for relation extraction. 12th ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, 11-15 February, 2019. New York, New York, USA: Association for Computing Machinery. doi: 10.1145/3289600.3291004

Efficient Batch Processing of Shortest Path Queries in Road Networks

Zhang, Mengxuan, Li, Lei, Hua, Wen and Zhou, Xiaofang (2019). Efficient Batch Processing of Shortest Path Queries in Road Networks. 20th IEEE International Conference on Mobile Data Management (MDM), Hong Kong, Hong Kong, 10-13 June 2019. Piscataway, NJ United States: IEEE. doi: 10.1109/mdm.2019.00-69

Entity disambiguation based on parse tree neighbours on graph attention network

Xin, Kexuan, Hua, Wen, Liu, Yu and Zhou, Xiaofang (2019). Entity disambiguation based on parse tree neighbours on graph attention network. Web Information Systems Engineering, Hong Kong, China, 19-22 January 2020. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-34223-4_33

Extracting temporal patterns from large-scale text corpus

Liu, Yu, Hua, Wen and Zhou, Xiaofang (2019). Extracting temporal patterns from large-scale text corpus. 30th Australasian Database Conference, ADC 2019, Sydney, NSW, Australia, 29 January -1 February 2019. Cham, Switzerland: Springer Verlag. doi: 10.1007/978-3-030-12079-5_2

Moving object linking based on historical trace

Jin, Fengmei, Hua, Wen, Xu, Jiajie and Zhou, Xiaofang (2019). Moving object linking based on historical trace. 2019 IEEE 35th International Conference on Data Engineering (ICDE), Macao, 8-11 April 2019. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/ICDE.2019.00098

Online user representation learning across heterogeneous social networks

Wang, Weiqing, Yin, Hongzhi, Du, Xingzhong, Hua, Wen, Li, Yongjun and Nguyen, Quoc Viet Hung (2019). Online user representation learning across heterogeneous social networks. 42nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019), Paris, France, 21-25 July 2019. New York, NY, United States: Association for Computing Machinery (ACM). doi: 10.1145/3331184.3331258

SIRCS: slope-intercept-residual compression by correlation sequencing for multi-stream high variation data

Ye, Zixin, Hua, Wen, Wang, Liwei and Zhou, Xiaofang (2019). SIRCS: slope-intercept-residual compression by correlation sequencing for multi-stream high variation data. 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, Chiang Mai, Thailand, 22-25 April 2019. Cham, Switzerland: Springer Verlag. doi: 10.1007/978-3-030-18576-3_12

Efficient clue-based route search on road networks

Zheng, Bolong, Su, Han, Hua, Wen, Zheng, Kai, Zhou, Xiaofang and Li, Guohui (2018). Efficient clue-based route search on road networks. 34th IEEE International Conference on Data Engineering (ICDE 2018), Paris, France, 16-19 April 2018. NEW YORK: IEEE. doi: 10.1109/ICDE.2018.00249

Decomposition-based approximation of time series data with max-error guarantees

Ruan, Boyu, Hua, Wen, Zhang, Ruiyuan and Zhou, Xiaofang (2017). Decomposition-based approximation of time series data with max-error guarantees. 28th Australasian Database Conference, ADC 2017, Brisbane, QLD, 25-28 September 2017. Heidelberg, Germany: Springer Verlag. doi: 10.1007/978-3-319-68155-9_6

Exploiting spatio-temporal user behaviors for user linkage

Chen, Wei, Yin, Hongzhi, Wang, Weiqing, Zhao, Lei, Hua, Wen and Zhou, Xiaofang (2017). Exploiting spatio-temporal user behaviors for user linkage. 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: 10.1145/3132847.3132898

Understanding information diffusion under interactions

Su, Y., Zhang, X., Yu, P.S., Hua, W., Zhou, X. and Fang, B. (2017). Understanding information diffusion under interactions. 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), New York, USA, 9–15 July, 2016. Palo Alto, CA, United States: AAAI Press.

A pattern-based framework for addressing data representational inconsistency

Yi, Bingyu, Hua, Wen and Sadiq, Shazia (2016). A pattern-based framework for addressing data representational inconsistency. 27th Australasian Database Conference on Databases Theory and Applications, ADC 2016, Sydney, NSW, Australia, 28-29 September 2016. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-46922-5_31

Microblog entity linking with social temporal context

Hua, Wen, Zheng, Kai and Zhou, Xiaofang (2015). Microblog entity linking with social temporal context. ACM SIGMOD International Conference on Management of Data, SIGMOD 2015, Melbourne VIC, Australia, 31 May-4 June 2015. New York, NY United States: Association for Computing Machinery. doi: 10.1145/2723372.2751522

Short text understanding through lexical-semantic analysis

Hua, Wen, Wang, Zhongyuan, Wang, Haixun, Zheng, Kai and Zhou, Xiaofang (2015). Short text understanding through lexical-semantic analysis. IEEE International Conference on Data Engineering, Seoul, South Korea, 13-17 April 2015. Piscataway, NJ, United States: IEEE. doi: 10.1109/ICDE.2015.7113309

Identifying users' topical tasks in web search

Hua, Wen, Song, Yangqiu, Wang, Haixun and Zhou, Xiaofang (2013). Identifying users' topical tasks in web search. 6th ACM International Conference on Web Search and Data Mining, WSDM 2013, Rome, Italy, 4 - 8 February 2013. New York, NY United States: ACM. doi: 10.1145/2433396.2433410

Self-supervised learning approach for extracting citation information on the web

Huynh, Dat T. and Hua, Wen (2012). Self-supervised learning approach for extracting citation information on the web. 14th Asia-Pacific Web Conference, APWeb 2012, Kunming, China, 11-13 April 2012. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-29253-8_69

Operating systems support for process dynamic integrity measurement

Wei, Chenglong, Song, Shaohua, Hua, Wen and Bian, Pan (2009). Operating systems support for process dynamic integrity measurement. 2009 IEEE Youth Conference on Information, Computing and Telecommunication, Beijing, China, 20-21 September 2009. Piscataway, NJ, United States: IEEE. doi: 10.1109/ycict.2009.5382352