Biography

Dr. Wen Hua currently works as a Senior Lecturer (tenure) and an ARC DECRA Fellow at the 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 analytics. She has published 60+ papers in reputed journals and top international conferences including SIGMOD, PVLDB, ICDE, TKDE, VLDBJ, IJCAI, SIGIR, CIKM, WSDM, WWWJ, etc.

Research Interest

• Information Extraction and Retrieval
• Knowledge Graph
• Large Scale Spatiotemporal Data Analysis
• Data Integration
• Natural Language Processing
• Social Media Analytics

Available Projects for Prospective Students

We are looking for highly motivated PhD students for the following research projects. The University of Queensland ranks in the top 50 as measured by the Performance Ranking of Scientific Papers for World Universities. It also ranks 47 in the QS World University Rankings, 52 in the US News Best Global Universities Rankings, 60 in the Times Higher Education World University Rankings, and 55 in the Academic Ranking of World Universities.

• [2022/2023] Information Extraction from Large-Scale Low-Quality Data
• [2022/2023] Context-aware Representation Learning for Code Analysis
• [2022/2023] Data as a Service Architecture, ARC Training Centre for Information Resilience

Selected Recent Publications [Full Publication List]

1. [WSDM 2023] Dependency-aware Self-training for Entity Alignment
   Bing Liu, Tiancheng Lan, Wen Hua, and Guido Zuccon
2. [PVLDB 2022] FHL-Cube: Multi-Constraint Shortest Path Querying with Varying Combination of Constraints
   Ziyi Liu, Lei Li, Mengxuan Zhang, Wen Hua, and Xiaofang Zhou
3. [PVLDB 2022] Diversified Top-k Route Planning in Road Network
   Zihan Luo, Lei Li, Mengxuan Zhang, Wen Hua, Yehong Xu, and Xiaofang Zhou
4. [ICDE 2022] Frequency-based Randomization for Guaranteeing Differential Privacy in Spatial Trajectories [Code]
   Fengmei Jin, Wen Hua, Boyu Ruan, and Xiaofang Zhou
5. [AAAI 2022] Ensemble Semi-supervised Entity Alignment via Cycle-teaching [Code]
   Kexuan Xin, Zequn Sun, Wen Hua, Bing Liu, Wei Hu, Jianfeng Qu, and Xiaofang Zhou
6. [WSDM 2022] Informed Multi-context Entity Alignment [Code]
   Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, and Xiaofang Zhou
7. [CIKM 2022] DivEA: High-quality Task Division for Large-scale Entity Alignment [Code]
   Bing Liu, Wen Hua, Guido Zuccon, Genghong Zhao, and Xia Zhang
8. [CIKM 2022] Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding [Code]
   Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Jianfeng Qu, and Xiaofang Zhou
9. [CIKM 2022] Evidence-aware Document-level Relation Extraction (Best Paper Honorable Mention)
   Tianyu Xu, Wen Hua, Jianfeng Qu, Zhixu Li, Jiajie Xu, An Liu and Lei Zhao
10. [EMNLP 2022] Guiding Neural Entity Alignment with Compatibility
    Bing Liu, Harrisen Scells, Wen Hua, Guido Zuccon, Genghong Zhao, and Xia Zhang
11. [VLDBJ 2022] Multi-Constraint Shortest Path using Forest Hop Labeling
    Ziyi Liu, Lei Li, Mengxuan Zhang, Wen Hua, and Xiaofang Zhou
12. [VLDBJ 2022] Information Resilience: The Nexus of Responsible and Agile Approaches to Information Use
    Shazia Sadiq, Amir Aryani, Gianluca Demartini, Wen Hua, Marta Indulska, Andrew Burton Jones, Hassan Khosravi, Diana Benavides Prado, Timos Sellis, Ida Someh, Rhema Vaithianathan, Sen Wang, and Xiaofang Zhou
13. [TKDE 2022] Value-wise ConvNet for Transformer Models: An Infinite Time-aware Recommender System
    Mohsen Saaki, Saeid Hosseini, Sana Rahmani, Mohammad Reza Kangavari, Wen Hua, and Xiaofang Zhou
14. [TKDE 2022] A Survey and Experimental Study on Privacy-Preserving Trajectory Data Publishing [Code]
    Fengmei Jin, Wen Hua, Matteo Francia, Pingfu Chao, Maria E Orlowska, and Xiaofang Zhou
15. [WWWJ 2022] Auto-Regressive Extractive Summarization with Replacement
    Tianyu Zhu, Wen Hua, Jianfeng Qu, Saeid Hosseini, and Xiaofang Zhou