Hao Wang   王 皓

Associate Researcher
Anhui Province Key Laboratory of Big Data Analysis and Application
Department of Computer Science and Engineering
University of Science and Technology of China (USTC)

Email:  wanghao3@mail.ustc.edu.cn.
Office:  211, West Lab Building of Science and Technology, West Campus of USTC, Hefei, Anhui, China, 230027.

Biography


Hao Wang is currently an Associate Researcher at School of Computer Science and Technology and School of Data Science, University of Science and Technology of China, also as a member of Anhui Province Key Laboratory of Big Data Analysis and Application(BDAA) led by Prof. Enhong Chen. My current research interests include data mining, graph mining, and recommendation systems, expecially in graph representation learning and graph-based recommendation.

I am looking for self-motivated students to join us, feel free to contact me!

Experiences


  • University of Science and Technology of China.
  • Publications  (Selected)

    1. Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang and Enhong Chen, Decoupled Representation Learning for Attributed Networks, IEEE Transactions on Knowledge and Data Engineering(TKDE'2021), Accepted, [PDF]

    2. Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang and Enhong Chen*, HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation, ACM Transactions on Information Systems, (TOIS'2021), Vol. 1, No. 1, Article 1. Publication date: January 2021. [PDF]

    3. Gangwei Jiang, Hao Wang, Jin Chen, Haoyu Wang, Defu Lian* and Enhong Chen, xLightFM: Extremely Memory-Efficient Factorization Machine, The 44th ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2021), Online, Jul. 2021 [PDF]

    4. Jinze Wu, Qi Liu, Zhenya Huang, Yuting Ning, Hao Wang, Enhong Chen, Jinfeng Yi and Bowen Zhou, Hierarchical Personalized Federated Learning for User Modeling, The 30th International World Wide Web Conference (WWW'2021), Ljubljana, Slovenia, April 19-23 2021. [PDF]

    5. Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Hao Wang, Shijin Wang, HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem, The 35th AAAI Conference on Artificial Intelligence (AAAI'2021), Virtual, February 2-9, 2021. [PDF]

    6. Jinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma, Shijin Wang, Federated Deep Knowledge Tracing, In Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM'2021), Virtual, 662–670, 2021, [PDF]

    7. Zhongkai Hao, Chengqiang Lu, Zhenya Huang, Hao Wang, Zheyuan Hu, Qi Liu, Enhong Chen, Cheekong Lee, ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction, The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2020), 731-739, San Diego, CA, USA, August 23-27 2020. [PDF]

    8. Zhenya Huang, Qi Liu, Weibo Gao, Jinze Wu, Yu Yin, Hao Wang, Enhong Chen, Neural Mathematical Solver with Enhanced Formula Structure, The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2020 Short Paper), 1729-1732, Xi'an, China, July 25-30, 2020. [PDF]

    9. Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Jianhui Ma, Qi Liu, Enhong Chen, Hanqing Tao, Ke Rui, Technical Phrase Extraction for Patent Mining: A Multi-level Approach, The 20th IEEE International Conference on Data Mining (ICDM'2020), 1142-1147, Sorrento, Italy, November 17-20 2020. [PDF]

    10. Binglei Wang, Tong Xu, Hao Wang, Yanmin Chen, Le Zhang, Lintao Fang, Guiquan Liu, Enhong Chen, Author Contributed Representation for Scholarly Network, Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data (APWeb-WAIM'2020), 558-573, 2020. [PDF]

    11. Hao Wang, Tong Xu, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu and Wen Su, MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network, In Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2019), Anchorage, AK, USA, 2019, 1064-1072. [PDF]

    12. Hao Wang, Enhong Chen*, Qi Liu, Tong Xu, Dongfang Du, Wen Su, Xiaopeng Zhang, A united approach to learning sparse attributed network embedding, 2018 IEEE International Conference on Data Mining (ICDM'2018), Singapore, 17-20 Nov. 2018. [PDF]

    13. Hongjie Lin, Hao Wang, Dongfang Du, Han Wu, Biao Chang, Enhong Chen*, Patent Quality Valuation with Deep Learning Models, The 23rd International Conference on Database Systems for Advanced Applications (DASFAA'2018), 474-490. [PDF]

    14. Dongfang Du, Hao Wang, Tong Xu, Yanan Lu, Qi Liu, Enhong Chen Solving link-oriented tasks in signed network via an embedding approach, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC'2017), Banff, AB, 5-8 Oct. 2017. [PDF]

    Services

    • Journal Reviewers:
      • 2021
    • Conference Reviewers:
      • 2021
    Honors

    • USTC:
      • 2019, KDD 2019 Student Travel Award
      • 2019, ICDM 2018 Student Travel Award
      • 2018, Graduate Student First-class Academic Scholarship
      • 2017, Graduate Student First-class Academic Scholarship
      • 2016, Graduate Student Second-class Academic Scholarship
    Course

    • USTC:
      • 2019, KDD 2019 Student Travel Award