Dr Wen Hua

ARC DECRA Research Fellow

School of Information Technology and Electrical Engineering
Faculty of Engineering, Architecture and Information Technology
w.hua@uq.edu.au
+61 7 336 52988

Overview

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 and Retrieval
  • Spatiotemporal Data Analytics
  • Big Data Management
  • Data Mining and Deep Learning
  • Knowledge Graph
  • Natural Language Processing
  • Social Media Analysis

Qualifications

  • Doctor's Degree of Engineering, RUC

Publications

  • 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

  • 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

  • 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

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Grants

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Supervision

  • Master Philosophy

  • Doctor Philosophy

  • Doctor Philosophy

View all Supervision

Publications

Journal Article

Conference Publication

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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.

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

Grants (Administered at UQ)

PhD and MPhil Supervision

Current Supervision

  • Master Philosophy — Principal Advisor

  • Doctor Philosophy — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Principal Advisor

  • Doctor Philosophy — Principal Advisor

  • Doctor Philosophy — Principal Advisor

  • Doctor Philosophy — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Associate Advisor

    Other advisors:

  • Doctor Philosophy — Associate Advisor

Completed Supervision

Possible Research Projects

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.