Biography

Hao Wang is currently an Associate Researcher at 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: Data-centric AI, Personalized Recommendation Systems, Large Language Model, and also other relevant applications in data mining.


Main Research:

  • Data centric: Data selection and regeneration.
  • Personalized Recommendation Systems: Large Recommendation Model, Sequential Recommendation, Cross-domain Recommendation.
  • Large Lauguage Model: Model Inference and Reasoning, Knowledge Discovery, LLM Agent.
  • AI for Sciences: Specifically fouce on AI for Chemistry and Biology, working closely with the Chemistry and Biology departments of the school.

  • I have always been looking for highly self-motivated undergraduate and graduate students. We have a lot of research questions that need to be explored together. If you're interested, feel free to contact me anytime.

    Experiences

    • 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)
    News!!

    • [Survey]: We released a survey "Scaling New Frontiers: Insights into Large Recommendation Models" for Scaling Generative Large Recommendation Model, If you are interested or have any problems, please feel free to contact us and refer to our Survey Paper and Github Project to help continuously improve this paper.
    • [WWW2025 Tutorial: Generative Large Language Model]:We will present and discuss recent trends on large generative recommendation model. The tutorial on “Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation” will be presented at WWW'2025 conference, aiming to offer an in-depth exploration of this evolving research topic. [PDF]
    • [02.2025] I will server as the PC members of ICML'25, SIGIR'25, KDD'25(Research&ADS),ACL ARR and NeurlPS'25.
    • [01.2025] One paper was accepted by DASFAA'2025. Congratulations to Kefan and all co-authors!
    • [01.2025] Three papers and one tutorial were accepted by WWW'2025. Congratulations to Jiaqing, Rui Zhou, Yufei, Luankang and all co-authors!
    • [10.2024] One paper was accepted by KDD'2025. Congratulations to Xiang Xu and all co-authors!
    Publications  (Selected)  (Google Scholar)   (Github Project)

    Services

    • 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::
      • 2025: ICML'25, NeurlPS'25, WWW'25, SIGIR'25, KDD'25
      • 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
    Honors

    • 2024, 自然科学一等奖, 中国电子学会
    • 2024, 省青年科技人才托举计划, 安徽省科学技术协会
    • 2024, KDD Best Student Paper Award, KDD2024唯一最佳学生论文奖
    • 2024, 腾讯精英人才计划入选学生导师
    • 2023, 第九届中国智能技术与大数据会议优秀论文
    • 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. 2025 ~ Dec. 2028, The Natural Science Foundation of China, 国家自然科学基金面上项目
    • Jan. 2025 ~ Dec. 2026, The Natural Science Foundation of China, 国家自然科学基金重点专项子课题
    • Jan. 2023 ~ Dec. 2025, The Natural Science Foundation of China, 国家自然科学基金青年基金
    • My research is also supported by grants from these leading companies, e.g., Huawei, Tencent, and Alibaba.

    Teching

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