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.

• [2021-2026] ARC Training Centre for Information Resilience
• [2021-2024] ARC DECRA Project, Information Extraction from Large-Scale Low-Quality Data

Selected Recent Publications [Full Publication List]

1. [ICDE 2022] Frequency-based Randomization for Guaranteeing Differential Privacy in Spatial Trajectories
   Fengmei Jin, Wen Hua, Boyu Ruan, and Xiaofang Zhou
2. [AAAI 2022] Ensemble Semi-supervised Entity Alignment via Cycle-teaching
   Kexuan Xin, Zequn Sun, Wen Hua, Bing Liu, Wei Hu, Jianfeng Qu, and Xiaofang Zhou
3. [WSDM 2022] Informed Multi-context Entity Alignment
   Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, and Xiaofang Zhou
4. [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
5. [TKDE 2022] A Survey and Experimental Study on Privacy-Preserving Trajectory Data Publishing
   Fengmei Jin, Wen Hua, Matteo Francia, Pingfu Chao, Maria E Orlowska, and Xiaofang Zhou
6. [ICDE 2021] Dynamic Hub Labelling for Road Networks
   Mengxuan Zhang, Lei Li, Wen Hua, Rui Mao, Pingfu Chao, and Xiaofang Zhou
7. [ICDE 2021] Efficient Constrained Shortest Path Query Answering with Forest Hop Labeling
   Ziyi Liu, Lei Li, Mengxuan Zhang, Wen Hua, Pingfu Chao, and Xiaofang Zhou
8. [ICDE 2021] Efficient 2-Hop Labeling Maintenance in Dynamic Small-World Networks
   Mengxuan Zhang, Lei Li, Wen Hua, and Xiaofang Zhou
9. [CIKM 2021] Summarizing Long-Form Document with Rich Discourse Information
   Tianyu Zhu, Wen Hua, Jianfeng Qu, and Xiaofang Zhou
10. [EMNLP 2021] ActiveEA: Active Learning for Neural Entity Alignment
    Bing Liu, Harrisen Scells, Guido Zuccon, Wen Hua, and Genghong Zhao
11. [ECIR 2021] Diagnosis Ranking with Knowledge Graph Convolution Networks
    Bing Liu, Guido Zuccon, Wen Hua, and Weitong Chen
12. [WISE 2021] An Efficient Approach for Spatial Trajectory Anonymization
    Yuetian Wang, Wen Hua, Fengmei Jin, Jing Qiu, and Xiaofang Zhou
13. [TKDE 2021] A Noise-aware Method with Type Constraint Pattern for Neural Relation Extraction
    Jianfeng Qu, Wen Hua, Dantong Ouyang, and Xiaofang Zhou
14. [WWWJ 2021] An Efficient and Effective Approach for Multi-fact Extraction from Text Corpus
    Jianfeng Qu, Wen Hua, Dantong Ouyang, and Xiaofang Zhou
15. [WWWJ 2021] Temporal Knowledge Completion with Context-Aware Embeddings
    Yu Liu, Wen Hua, Jianfeng Qu, Kexuan Xin, and Xiaofang Zhou
16. [WWWJ 2021] Temporal Knowledge Extraction From Large-scale Text Corpus
    Yu Liu, Wen Hua, and Xiaofang Zhou
17. [WWWJ 2021] LoG: A Locally-Global Model for Entity Disambiguation
    Kexuan Xin, Wen Hua, Yu Liu, and Xiaofang Zhou