Hao Wang is currently an Associate Researcher at School of Computer Science and School of Computer Science and Technology, University of Science and Technology of China, also a member of Anhui Province Key Laboratory of Big Data Analysis and Application (BDAA) led by Prof. Enhong Chen and Key Laboratory of Cognitive Intelligence. My research interests include Machine Learning, Data Mining, and Deep Learning, expecially focus on following topics: Representation Learning, Graph Mining, Sequential Modeling, Large Language Model & In-context Learning, and also other relevant applications in data mining recently.

Main Research: 1. User Modeling. 2. Large Lauguage Model. 3. AI for Sciences (Specifically fouce on AI for Chemistry, Collaborating with the Vice President Prof. Yao Fu )

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


  • Jan. 2022 ~ Present,  Associate Researcher,  School of Computer Science and Technology,  University of Science and Technology of China (USTC)
  • Sep. 2015 ~ Dec. 2021,  Ph.D,  School of Computer Science and Technology,  University of Science and Technology of China (USTC),  Advisor: Prof. Enhong Chen
  • Jan. 2020 ~ Jan. 2021,  Visiting Student,  Department of Computer Science,  University of Illinois Urbana-Champaign (UIUC),  Advisor: Prof. Hanghang Tong
  • Sep. 2011 ~ Jul. 2015,  B.S.,  School of Computer Science and Information Engineering,  HeFei University of Technology (HFUT)

  • [Call for papers]: I'm serving as the special issue guest editor of Entropy Journal (SCI:Q2) on "Information Network Mining and Applications". Deadline for manuscript submissions is extended to Oct.31, 2023. Detailed information can be referred to this website [Link].
  • [LLM for Recommendation Survey]: We released a survey for Large Language Models with Recommendation, which presents a taxonomy that categorizes these models into two major paradigms, respectively Discriminative LLM for Recommendation (DLLM4Rec) and Generative LLM for Recommendation (GLLM4Rec), and identify key challenges and several valuable findings to provide researchers and practitioners with inspiration. If you are interested in it, please refer to our Survey Paper and Github Project or directly contact us to help continuously improve this paper.
  • [User Modeling Tutorial]: User Behavior Modeling (UBM) plays a critical role in user interest learning, and has been extensively used in recommender systems. We introduce our tutorial on “User Behavior Modeling with Deep Learning for Recommendation: Recent Advances” at RecSys'2023, aiming to offer an in-depth exploration of this evolving research topic. [Offical Website][Slides]
  • [Released Dataset]: We released a database for spontaneous Micro-Expression with high frame rates, which can support several research tasks of micro-expression. If you are interested in it, please refer to our dataset paper and contact Dr. Zhao by email to request download link for academic research [Link].
  • [05.2024] I will server as the PC members of CIKM'24 and NeurlPS'24.
  • [04.2024] One paper was accepted by DASFAA'2024. Congratulations to Luankang and all co-authors!
  • [01.2024] One paper was accepted by WWW'2024. Congratulations to Yongqiang and all co-authors!
Publications  (Selected)  (Google Scholar)


  • Journal Reviewers:
    • IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE)
    • ACM Transactions on Information Systems (ACM TOIS)
    • ACM Transactions on Intelligent Systems and Technology (ACM TIST)
    • ACM Transactions on Knowledge Discovery from Data (TKDD)
    • Journal of Computer Science and Technology (JCST)
    • Frontiers of Computer Science (FCS)
  • Program Committee Member::
    • 2024: CIKM'24, NeurlPS'24, AAAI'24, WWW'24, SDM'24, SIGIR'24, KDD'24
    • 2023: KDD'23, SIGIR'23, IJCAI'23, NeurlPS'23
    • 2022: AAAI'22, CIKM'22

  • 2023, CCF-Tecent Rhino-Bird Open Research Fund, 2023年度腾讯犀牛鸟基金入选学者
  • 2022, 中国科学技术大学-墨子杰出青年特资津贴, USTC
  • 2020, Support Program of Distinguished Dissertation for Ph.D Student, USTC (中科大博士论文创优支持计划)
  • 2019, Joint Ph.D Student Scholarship granted by China Scholarship Council (国家公派联合培养博士研究生-CSC)
  • 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
Research Grants

  • Jan. 2023 ~ Dec. 2025, The Natural Science Foundation of China, 自然科学基金青年基金
  • My research is also supported by grants from these leading companies, e.g., Huawei, Tecent, Meituan, and Alibaba.


  • USTC:
    • Deep Learning, Postgraduate Course in USTC, Fall [2022]
    • Inroduction to Deep Learning, Undergraduate Course in USTC, Spring [2023][2024]