Dr Wen Hua (華雯)

Assistant Dean (Graduate Studies), Associate Professor, Presidential Young Scholar
Department of Data Science and Artificial Intelligence (DSAI)
Faculty of Computer and Mathematical Science (FCMS)
The Hong Kong Polytechnic University (PolyU)
Office: PQ808, Mong Man Wai Building, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Kong Kong
Phone: +852 2766 7237 | Email: wency.hua@polyu.edu.hk
Home
|
Research
|
Publication
|
Teaching
|
Activities
Biography
Dr Wen Hua is currently an Associate Professor (Presidential Young Scholar scheme) in the Department of Data Science and Artificial Intelligence at the Hong Kong Polytechnic University. She received her Bachelor’s degree (under the supervision of Prof Xiaoyong Du) and PhD degree (under the supervision of Prof Xiaofang Zhou) in Computer Science from Renmin University of China in 2010 and 2015, respectively. Before joining PolyU, she worked as a Senior Lecturer (tenured) and an ARC DECRA Senior Research Fellow in the School of Information Technology and Electrical Engineering at the University of Queensland. She was awarded the Advance Queensland Early Career Research Fellowship (AQRF) in 2017 and the ARC Discovery Early Career Researcher Award (DECRA) in 2021, 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 90+ papers in reputed journals and top international conferences such as SIGMOD, PVLDB, ICDE, TKDE, VLDBJ, IJCAI, AAAI, NeurIPS, SIGIR, TheWebConf, CIKM, WSDM, WWWJ, etc. Her publications have received the ICDE 2015 Best Paper Award, CIKM 2022 Best Paper Honourable Mention Award, etc.
Research Interests
  • Knowledge Graph, Graph Neural Network, Large Language Model
  • Big Data Management, Data Quality, Data Integration
  • Large-Scale Spatiotemporal Data Analysis, High-Performance Query Processing
  • Natural Language Processing, Information Extraction and Retrieval, Social Media Analytics