Dr. Wen Hua currently works as a Senior Lecturer (tenure) and an ARC DECRA Fellow at School of Information Technology and Electrical Engineering, the University of Queensland, Australia. From April 2016 to April 2017, she was appointed as a Postdoctoral Research Fellow at the University of Queensland. She received her PhD degree (under the supervision of Prof Xiaofang Zhou) and Bachelor degree (under the supervision of Prof Xiaoyong Du) in Computer Science from Renmin University of China in 2015 and 2010, respectively. She was awarded the ARC Discovery Early Career Researcher Award (DECRA) in 2021 and the Advance Queensland Early Career Research Fellowship (AQRF) in 2017, two highly-competitive fellowships for early-career researchers. Her current research interests include information extraction and retrieval, data mining, natural language processing, spatiotemporal data management, high performance query processing, and social media analysis. She has published actively in reputed journals and top international conferences including SIGMOD, PVLDB, ICDE, TKDE, VLDBJ, IJCAI, SIGIR, CIKM, WSDM, WWWJ, etc.
Conference Publication: 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
Journal Article: 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
Journal Article: 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
ARC Training Centre for Information Resilience
(2021–2026) ARC Industrial Transformation Training Centres
Information Extraction from Large-scale Low-quality Data
(2021–2023) ARC Discovery Early Career Researcher Award
Context-aware Representation Learning for Code Analysis
(2021) Oracle Labs
Countering Lead Bias in Extractive Document Summarization
(2022) Master Philosophy
Information Extraction from Large-scale Low-quality Data
Doctor Philosophy
A Study on Temporal Knowledge Graph Enrichment
(2021) Doctor Philosophy
Information Extraction from Large-scale Low-quality Data
ARC DECRA Project 2021-2023
Data as a Service Architecture
ARC Training Centre for Information Resilience 2021-2026
Making Spatiotemporal Data More Useful: An Entity Linking Approach
ARC Discovery Project 2020-2023
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
Zhou, Xiaofang and Hua, Wen (2020). Preface. Journal of Computer Science and Technology, 35 (4), 721-723. doi: 10.1007/s11390-020-0005-5
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
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
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
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
ARC Training Centre for Information Resilience
(2021–2026) ARC Industrial Transformation Training Centres
Information Extraction from Large-scale Low-quality Data
(2021–2023) ARC Discovery Early Career Researcher Award
Context-aware Representation Learning for Code Analysis
(2021) Oracle Labs
Making Spatiotemporal Data More Useful: An Entity Linking Approach
(2020–2022) ARC Discovery Projects
Real-time Analytics on Urban Trajectory Data for Road Traffic Management
(2019–2023) ARC Linkage Projects
Collaborative Lab of Health Informatics with Neusoft
(2019–2022) Neusoft Research ot Intelligent Healthcare Technology, Co Ltd
Machine Learning, Data Analytics, and Knowledge Management for Microgrid Data
(2017–2020) Advance Queensland Research Fellowships
Information Extraction from Large-scale Low-quality Data
Doctor Philosophy — Principal Advisor
Other advisors:
Real-time Analytics on Urban Trajectory Data for Road Traffic Management
Doctor Philosophy — Principal Advisor
Other advisors:
Efficient Multi-Constrained Shortest Path Query Answering with Layered Forest Hop Labeling
Doctor Philosophy — Principal Advisor
Automatic Text Summarisation based on Deep learning
Doctor Philosophy — Principal Advisor
Other advisors:
Cross-domain Moving Object Linking Based on Historical Trace
Doctor Philosophy — Principal Advisor
Medical Knowledge Graph Extraction
Doctor Philosophy — Principal Advisor
Other advisors:
On Encoding Causality for Natural Language Understanding
Doctor Philosophy — Associate Advisor
Other advisors:
Deep Learning for Graph Data Analysis
Doctor Philosophy — Associate Advisor
Other advisors:
MULTI TIME SCALE WIND SPEED FORECASTING
Doctor Philosophy — Associate Advisor
Other advisors:
Countering Lead Bias in Extractive Document Summarization
(2022) Master Philosophy — Principal Advisor
Other advisors:
A Study on Temporal Knowledge Graph Enrichment
(2021) Doctor Philosophy — Principal Advisor
Clustering and Cohesive Pattern Mining on Massive Graphs
(2022) Doctor Philosophy — Associate Advisor
A Study on Map-Matching and Map Inference Problems
(2020) Doctor Philosophy — Associate Advisor
A STUDY ON TIME-DEPENDENT REACHABILITY AND ROUTE SCHEDULING IN ROAD NETWORK
(2018) Doctor Philosophy — Associate Advisor
Note for students: The possible research projects listed on this page may not be comprehensive or up to date. Always feel free to contact the staff for more information, and also with your own research ideas.
Information Extraction from Large-scale Low-quality Data
ARC DECRA Project 2021-2023
Data as a Service Architecture
ARC Training Centre for Information Resilience 2021-2026
Making Spatiotemporal Data More Useful: An Entity Linking Approach
ARC Discovery Project 2020-2023
Context-aware Representation Learning for Code Analysis
Joint PhD with Oracle Labs Australia 2021-2024