Dr. Wen Hua

Lecturer, ARC DECRA Fellow
Data Science Research Group (DS)
School of Information Technology and Electrical Engineering (ITEE)
The University of Queensland, Australia
Office: Room 637, Building 78, St Lucia Campus
Phone: (61-7) 3365 2988
Email: w.hua@uq.edu.au

Biography

Dr. Wen Hua currently works as a 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 (Under the supervision of Prof Xiaofang Zhou) and Bachelor degrees 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.


Research Interests

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

Research Grants

  • 2021-2023, ARC Discovery Early Career Researcher Award (DECRA, Grant# DE210100160), $423,000. Information Extraction from Large-Scale Low-Quality Data. Sole Chief Investigator
  • 2020-2025, ARC Training Centre for Information Resilience (Grant# IC200100022), $13,883,406 (ARC+Partners). Chief Investigator
  • 2020-2022, ARC Discovery Project (DP, Grant# DP200103650), $493,000. Making Spatiotemporal Data More Useful: An Entity Linking Approach. Chief Investigator
  • 2019-2022, Collaborative Lab of Health Informatics with Neusoft, $937,000 (Neusoft+UQ). Chief Investigator
  • 2017-2020, Advance Queensland Early Career Research Fellowship (AQRF, Grant# AQRF125), $397,000 (AQRF+Partners). Machine Learning, Data Analytics and Knowledge Management for Microgrid Data. Sole Chief Investigator
  • 2017-2018, UQ New Staff Start-Up Research Grant, $50,000. Realtime Battery Scheduling Based on Solar and Load Forecasting. Sole Chief Investigator

Publications

  • Mengxuan Zhang, Lei Li, Wen Hua, and Xiaofang Zhou, Efficient 2-Hop Labeling Maintenance in Dynamic Small-World Networks. In Proceedings of the 37th IEEE International Conference on Data Engineering (ICDE 2021), To appear. April 19-22, 2021, Chania, Crete, Greece
  • Bing Liu, Guido Zuccon, Wen Hua, and Weitong Chen, Knowledge Graph Convolution Networks for Ranking Diagnoses. In Proceedings of the 43rd European Conference on Information Retrieval (ECIR 2021), To appear. March 28-April 1, 2021, Lucca, Tuscany
  • Fengmei Jin, Wen Hua, Thomas Zhou, Jiajie Xu, Matteo Francia, Maria E Orlowska, and Xiaofang Zhou, Trajectory-Based Spatiotemporal Entity Linking. In IEEE Transactions on Knowledge and Data Engineering (TKDE). Accepted in November (2020)
  • Kexuan Xin, Wen Hua, Yu Liu, and Xiaofang Zhou, LoG: A Locally-Global Model for Entity Disambiguation. In World Wide Web Journal (WWWJ). Accepted in September (2020)
  • Yu Liu, Wen Hua, and Xiaofang Zhou, Temporal Knowledge Extraction From Large-scale Text Corpus. In World Wide Web Journal (WWWJ). Accepted in August (2020)
  • Yehong Xu, Dan He, Pingfu Chao, Jiwon Kim, Wen Hua, and Xiaofang Zhou, Route Reconstruction on Low-quality Bluetooth Readings. In Proceedings of the 28th ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2020), To appear. November 3-6, 2020, Seattle, Washington, USA
  • Mengxuan Zhang, Lei Li, Wen Hua, and Xiaofang Zhou, Stream Processing of Shortest Path Queries in Dynamic Road Networks. In IEEE Transactions on Knowledge and Data Engineering (TKDE). Accepted in July (2020)
  • Saeed Najafi Pour, Saeid Hosseini, Wen Hua, Mohammad Reza Kangavari, and Xiaofang Zhou, SoulMate: Short Text Author Linking Through Multi-Aspect Temporal-Textual Embedding. In IEEE Transactions on Knowledge and Data Engineering (TKDE). Accepted in March (2020)
  • Pingfu Chao, Wen Hua, Rui Mao, Jiajie Xu, and Xiaofang Zhou, A Survey and Quantitative Study on Map Inference Algorithms. In IEEE Transactions on Knowledge and Data Engineering (TKDE). Accepted in February (2020)
  • Shizhuo Deng, Wen Hua, Botao Wang, Guoren Wang, and Xiaofang Zhou, Few-shot Human Activity Recognition on Noisy Wearable Sensor Data. In Proceedings of the 25th International Conference on Database Systems for Advanced Applications (DASFAA 2020), pages 54-72. May 21-24, 2020, Jeju, South Korea
  • Mengxuan Zhang, Lei Li, Pingfu Chao, Wen Hua, and Xiaofang Zhou, Path Query Processing Using Typical Snapshots in Dynamic Road Networks. In Proceedings of the 25th International Conference on Database Systems for Advanced Applications (DASFAA 2020), pages 255-271. May 21-24, 2020, Jeju, South Korea
  • Lei Li, Mengxuan Zhang, Wen Hua, and Xiaofang Zhou, Fast Query Decomposition for Batch Shortest Path Processing in Road Networks. In Proceedings of the 36th IEEE International Conference on Data Engineering (ICDE 2020), pages 1189-1200. April 20-24, 2020, Dallas, Texas, USA
  • Mengxuan Zhang, Lei Li, Wen Hua, and Xiaofang Zhou, Typical Snapshots Selection for Shortest Path Query in Dynamic Road Networks. In Proceedings of the 31st Australasian Database Conference (ADC 2020), pages 3-16. February 4-7, 2020, Melbourne, Australia (Best Student Paper Runner-up Award)
  • Pingfu Chao, Yehong Xu, Wen Hua, and Xiaofang Zhou, A Survey on Map-Matching Algorithms. In Proceedings of the 31st Australasian Database Conference (ADC 2020), pages 121-133. February 4-7, 2020, Melbourne, Australia
  • Ruiyuan Zhang, Hui Ma, Wen Hua, Tapan Saha, and Xiaofang Zhou, Data-Driven Photovoltaic Generation Forecasting based on Bayesian Network with Spatial-Temporal Correlation Analysis. In IEEE Transactions on Industrial Informatics (TII). 16(3): 1635-1644 (2020)
  • Jianfeng Qu, Wen Hua, Dantong Ouyang, Xiaofang Zhou, and Ximing Li, A Fine-grained and Noise-aware Method for Neural Relation Extraction. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), pages 659-668. November 3-7, 2019, Beijing, China
  • Yu Liu, Wen Hua, Kexuan Xin, and Xiaofang Zhou, Context-Aware Temporal Knowledge Graph Embedding. In Proceedings of the 20th International Conference on Web Information Systems Engineering (WISE 2019), pages 583-598. November 26-30, 2019, Hong Kong, China
  • Kexuan Xin, Wen Hua, Yu Liu, and Xiaofang Zhou, Entity Disambiguation Based on Parse Tree Neighbours on Graph Attention Network. In Proceedings of the 20th International Conference on Web Information Systems Engineering (WISE 2019), pages 523-537. November 26-30, 2019, Hong Kong, China
  • Pingfu Chao, Wen Hua, and Xiaofang Zhou, Trajectories Know Where Map is Wrong: An Iterative Framework for Map-Trajectory Co-optimisation. In World Wide Web Journal (WWWJ). 23(1): 47-73 (2019)
  • Weiqing Wang, Hongzhi Yin, Xingzhong Du, Wen Hua, Yongjun Li, and Quoc Viet Hung Nguyen, Online User Representation Learning Across Heterogeneous Social Networks. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019), pages 545-554. July 21-25, 2019, Paris, France
  • Mengxuan Zhang, Lei Li, Wen Hua, and Xiaofang Zhou, Efficient Batch Processing of Shortest Path Queries in Road Networks. In Proceedings of the 20th IEEE International Conference on Mobile Data Management (MDM 2019), pages 100-105. June 10-13, 2019, Hong Kong, China
  • Fengmei Jin, Wen Hua, Jiajie Xu, and Xiaofang Zhou, Moving Object Linking Based on Historical Trace. In Proceedings of the 35th IEEE International Conference on Data Engineering (ICDE 2019), pages 1058-1069. April 8-12, 2019, Macau SAR, China
  • Zixin Ye, Wen Hua, Liwei Wang, and Xiaofang Zhou, SIRCS: Slope-intercept-residual Compression by Correlation Sequencing for Multi-stream High Variation Data. In Proceedings of the 24th International Conference on Database Systems for Advanced Applications (DASFAA 2019), pages 191-206. April 22-25, 2019, Chiang Mai, Thailand
  • Pingfu Chao, Wen Hua, and Xiaofang Zhou, An Iterative Map-Trajectory Co-Optimisation Framework Based on Map-Matching and Map Update. In Proceedings of the 24th International Conference on Database Systems for Advanced Applications (DASFAA 2019), pages 305-309. April 22-25, 2019, Chiang Mai, Thailand
  • Jianfeng Qu, Wen Hua, Dantong Ouyang, Yuxin Ye, and Xiaofang Zhou, Discovering Correlations between Sparse Features in Distant Supervision for Relation Extraction. In Proceedings of the 12th ACM International Conference on Web Search and Data Mining (WSDM 2019), pages 726-734. February 11-15, 2019, Melbourne, Australia
  • Yu Liu, Wen Hua, and Xiaofang Zhou, Extracting Temporal Patterns From Large-Scale Text Corpus. In Proceedings of the 30th Australasian Database Conference (ADC 2019), pages 17-30. January 29-February 1, 2019, Sydney, Australia (Best Paper Award)
  • Mengxuan Zhang, Lei Li, Wen Hua, and Xiaofang Zhou, Batch Processing of Shortest Path Queries in Road Networks. In Proceedings of the 30th Australasian Database Conference (ADC 2019), pages 3-16. January 29-February 1, 2019, Sydney, Australia (Best Paper Runner-up Award)
  • Lei Li, Kai Zheng, Sibo Wang, Wen Hua, and Xiaofang Zhou, Go Slow to Go Fast: Minimal On-Road Time Route Scheduling with Parking Facilities Using Historical Trajectory. In VLDB Journal (VLDBJ). 27(3):321-345 (2018)
  • Jianfeng Qu, Dantong Ouyang, Wen Hua, Yuxin Ye, and Ximing Li, Distant Supervision for Neural Relation Extraction Integrated with Word Attention and Property Features. In Neural Networks. 100: 59-69 (2018)
  • Bolong Zheng, Han Su, Wen Hua, Kai Zheng, Xiaofang Zhou, and Guohui Li, Efficient Clue-based Route Search on Road Networks (Extended Abstract). In Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE 2018), pages 1783-1784. April 16-19, 2018, Paris, France
  • Wei Chen, Hongzhi Yin, Weiqing Wang, Lei Zhao, Wen Hua, and Xiaofang Zhou, Exploiting Spatio-Temporal User Behaviors for User Linkage. In Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM 2017), pages 517-526. November 6-10, 2017, Singapore
  • Boyu Ruan, Wen Hua, Ruiyuan Zhang, and Xiaofang Zhou, Decomposition-Based Approximation of Time Series Data with Max-Error Guarantees. In Proceedings of the 28th Australasian Database Conference (ADC 2017), pages 71-82. September 25-28, 2017, Brisbane, Australia
  • Lei Li, Wen Hua, Xingzhong Du, and Xiaofang Zhou, Minimal On-Road Time Route Scheduling on Time-Dependent Graphs. In Proceedings of the 43rd International Conference on Very Large Data Bases (PVLDB 2017), pages 1274-1285. August 28-September 1, 2017, Munich, Germany
  • Bolong Zheng, Han Su, Wen Hua, Kai Zheng, Xiaofang Zhou, and Guohui Li, Efficient Clue-based Route Search on Road Networks. In IEEE Transactions on Knowledge and Data Engineering (TKDE). 29(9): 1846-1859 (2017)
  • Wen Hua, Zhongyuan Wang, Haixun Wang, Kai Zheng, and Xiaofang Zhou, Understand Short Texts by Harvesting and Analyzing Semantic Knowledge. In IEEE Transactions on Knowledge and Data Engineering (TKDE). 29(3): 499-512 (2017)
  • Lei Li, Wen Hua, and Xiaofang Zhou, HD-GDD: High Dimensional Graph Dominance Drawing Approach for Reachability Query. In World Wide Web Journal (WWWJ). 20(4): 677-696 (2017)
  • Bingyu Yi, Wen Hua, and Shazia Sadiq, A Pattern-Based Framework for Addressing Data Representational Inconsistency. In Proceedings of the 27th Australasian Database Conference (ADC 2016), pages 395-406. September 28-29, 2016, Sydney, Australia
  • Yuan Su, Xi Zhang, Philip S. Yu, Wen Hua, Xiaofang Zhou, and Binxing Fang, Understanding Information Diffusion under Interactions. In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), pages 3875-3881. July 9-15, 2016, New York, USA
  • Wen Hua, Kai Zheng, and Xiaofang Zhou, Quality-Aware Entity-Level Semantic Representations for Short Texts. In IEEE Data Engineering Bulletin. 39(2): 93-105 (2016)
  • Wen Hua, Zhongyuan Wang, Haixun Wang, Kai Zheng, and Xiaofang Zhou, Short Text Understanding Through Lexical-Semantic Analysis. In Proceedings of the 31st IEEE International Conference on Data Engineering (ICDE 2015), pages 495-506. April 13-17, 2015, Seoul, Korea (Best Paper Award)
  • Wen Hua, Kai Zheng, and Xiaofang Zhou, Microblog Entity Linking with Social Temporal Context. In Proceedings of the 2015 International Conference on Management of Data (SIGMOD 2015), pages 1761-1775. May 31-June 4, 2015, Melbourne, Victoria, Australia
  • Wen Hua, Yangqiu Song, Haixun Wang, and Xiaofang Zhou, Identifying Users’ Topical Tasks in Web Search. In Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM 2013), pages 93-102. February 4-8, 2013, Rome, Italy
  • Dat T. Huynh and Wen Hua, Self-Supervised Learning Approach for Extracting Citation Information on the Web. In Proceedings of 14th Asia-Pacific Web Conference (APWeb 2012), pages 719-726. April 11-13, 2012, Kunming, China
  • Wen Hua, Dat T. Huynh, Saeid Hosseini, Jiaheng Lu, and Xiaofang Zhou. Information Extraction From Microblogs: A Survey. In International Journal of Software and Informatics (IJSI). 6(4): 495-522 (2012)
  • Wen Hua, Yan Wang, Yueguo Chen, Jinchuan Chen, and Xiaoyong Du, An Evolutionary Clustering-based RDF Data Management System. In Journal of Computer Research and Development (JCRD). 47(Z1): 446-449 (2010)
  • Chenglong Wei, Shaohua Song, Wen Hua, and Pan Bian, Operating Systems Support for Process Dynamic Integrity Measurement. In IEEE Youth Conference on Information, Computing and Telecommunication (YC-ICT 2009), pages 339-342. September 20-21, 2009, Beijing, China

Honors and Awards

  • 2021, ARC Discovery Early Career Researcher Award (DECRA)
  • 2020, ITEE Rising Star Award, The University of Queensland
  • 2020, Best Student Paper Runner-Up Award in ADC 2020 (Australasian Database Conference)
  • 2019, Best Paper Award in ADC 2019 (Australasian Database Conference)
  • 2019, Best Paper Runner-Up Award in ADC 2019 (Australasian Database Conference)
  • 2017, Advance Queensland Early Career Research Fellowship (AQRF)
  • 2017, ACM SIGMOD China Outstanding Doctoral Dissertation Honorable Mention Award
  • 2016, ACM China Outstanding Doctoral Dissertation Award (Beijing)
  • 2015, Best Paper Award in ICDE 2015 (IEEE International Conference on Data Engineering)
  • 2015, National Graduate Scholarship, Education Ministry of China
  • 2015, Travel Scholarship for ICDE 2015 (IEEE International Conference on Data Engineering)
  • 2015, Travel Scholarship for SIGMOD 2015 (ACM International Conference on Management of Data)
  • 2013, CSC Scholarship (China Scholarship Council)
  • 2010, Outstanding Graduate Award, Renmin University of China
  • 2009, Sa Shixuan Elite Fund Scholarship
  • 2009, First Prize in China National Information Security Contest

Professional Services


Invited Talks, Tutorials, Keynote Speeches

  • 25 June 2019, Tutorial. Towards Knowledge Harvesting from Text Corpus. The 4th IEEE International Conference on Data Science in Cyberspace (DSC 2019), Hangzhou, China
  • 12 April 2019, Invited Talk. Knowledge Extraction from Text Corpus: Challenges and Solutions. The 1st Summit Forum on Big Data Intelligence, Guangzhou, China
  • 1 November 2018, Invited Talk. KGC: From Text to Knowledge Graph. Soochow University, Suzhou, China
  • 30 October 2017, Invited Talk. Populating Knowledge Bases with Temporal Information. Nanjing University of Aeronautics and Astronautics, Nanjing, China
  • 27 October 2017, Invited Talk. Temporal Knowledge Extraction from Large-Scale Text Corpus. Renmin University of China, Beijing, China
  • 20 October 2017, Tutorial. TKB: Populating Knowledge Bases with Temporal Information. The 34th National Database Conference (NDBC 2017), Hangzhou, China
  • 26 September 2017, Tutorial. When Big Data Meets the Microgird: Challenges and Opportunities. 2017 Australasian Database Conference (ADC 2017), Brisbane, Australia
  • 13 November 2015, Tutorial. Short Text Understanding: A Database Approach. The 14th China National Conference on Computational Linguistics (CCL 2015), Guangzhou, China
  • 23 October 2015, Invited Talk. Enable Machines to Understand Internet Languages. 2015 China National Computer Congress (CNCC 2015), Hefei, China
  • 30 June 2015, Invited Talk. Short Text Understanding Through Lexical-Semantic Analysis. Peking University, Beijing, China

Postdoc Research Fellow

  • Jianfeng Qu: 2019.11-2020.11

Research Student Supervision

  • Bing Liu (PhD): 2019.10-
  • Fengmei Jin (PhD): 2019.10-
  • Ziyi Liu (MPhil): 2019.10-
  • Tianyu Zhu (MPhil): 2019.4-
  • Kexuan Xin (PhD): 2018.10-
  • Mengxuan Zhang (PhD): 2018.1-
  • Boyu Ruan (PhD): 2017.1-2017.8
  • Ruiyuan Zhang (PhD): 2016.10-2018.10
  • Yu Liu (PhD): 2016.10-
  • Pingfu Chao (PhD): 2016.7-2020.1
  • Lei Li (PhD): 2016.7-2018.6

Visitor Supervision

  • Shizhuo Deng (PhD): 2019.1-2019.12
  • Zhe Peng (PhD): 2018.9-2019.8
  • Rui Chen (MPhil): 2018.3-2018.6
  • Jianfeng Qu (PhD): 2017.11-2019.5
  • Wenling Zhang (MPhil): 2017.10-2018.2
  • Fengmei Jin (MPhil): 2017.7-2018.6

Teaching

  • Relational Database Systems (INFS2200/7903), School of ITEE, the University of Queensland
    Semester 2, 2019; Semester 2, 2020
  • Advanced Database Systems (INFS3200/7907), School of ITEE, the University of Queensland
    Semester 1, 2019; Semester 1, 2018; Semester 2, 2017; Semester 1, 2017
  • Service-Oriented Architecture (INFS3204/7204), School of ITEE, the University of Queensland
    Semester 2, 2016