🤵🏻 About Me

I am a machine learning researcher with research interests in weakly supervised learning, open environment machine learning, learnware. I obtained my Ph.D. degree from Department of Computer Science and Technology in Nanjing University in June 2022, where I was very fortunate to be advised by professor Yu-Feng Li (李宇峰). Currently, I am an Assistant Professor in School of Intelligence Science and Technology, Nanjing University (Suzhou Campus). I am also a member of LAMDA Group (机器学习与数据挖掘研究所), which is led by professor Zhi-Hua Zhou (周志华).

My research interests include topics in machine learning and data mining. Most recently, I am interested in the following topics:

  • Weakly Supervised Learning
    • Incomplete Supervision: Only a subset of training data is given with labels.
    • Inexact Supervision: The training data is given with only coarse-grained labels.
    • Inaccurate Supervision: The given labels are not always ground-truth.
  • Robust Machine Learning in Open Environments
    • Robust machine learning with unseen class or out-of-distribution (OOD) data.
    • Robust machine learning with decremental/incremental features.
    • Robust machine learning with changing data distributions.
  • Learnware and Machine Learning Model Adaptation
    • How to assign model a specification to describe its specialty and utility.
    • How to connect various machine learning models via model specification.
    • How to reuse/adapt pre-trained models to solve different AI tasks.

📢: 招收对机器学习、人工智能感兴趣,有较好编程基础的学生,可通过邮箱guolz@nju.edu.cn联系我,请附上个人简历、成绩单及自我介绍。

🎉 News

  • 2023.06: One paper is accepted by ECML 2023!
  • 2023.05: We open-sourced a LLM for Chinese Legal domain LawGPT.⛏️ 🛠️
  • 2023.04: Three papers are accepted by ICML 2023!
  • 2022.10: Two papers are accepted by Machine Learning!
  • 2022.09: Three papers are accepted by NeurIPS 2022!
  • 2022.07: We open-sourced the semi-supervised learning toolkit LAMDA-SSL.⛏️ 🛠️
  • 2022.04: One paper is accepted by ICML 2022!

📝 Publications

Conference Papers

Journal Papers


💻 Software

  • LAMDA-SSL: A comprehensive and easy-to-use toolkit for semi-supervised learning. LAMDA-SSL contains 30+ semi-supervised learning algorithms, including both statiscal and deep semi-supervised learning. We hope this toolkit can promote the research of semi-supervised learning.
  • LawGPT: A Large Language Model in the Legal Domain.

🏆 Awards

  • 吴文俊人工智能科学技术奖优秀博士学位论文,人工智能学会,2023
  • Excellent Doctoral Dissertation Award, Computer Science and Technology, Nanjing University, 2022
  • Baidu Scholarship (10 candidates worldwide each year), Baidu Inc, 2021
  • Tecent Scholarship, Nanjing University, 2021
  • MSRA Fellowship Nomination Award, 2021
  • Outstanding Contribution Award of Huawei-LAMDA Artificial Intelligence Joint Laboratory, 2021
  • National Scholarship for Ph.D. Students, Nanjing University, 2020
  • GuoRui Scholarship, 2019
  • National Scholarship for Master Students, Nanjing University, 2018
  • ACM-ICPC Asia Regional Contest, Gold Medal: Shenyang Site, 2015
  • ACM-ICPC Asia Regional Contest, Sliver Medal: Mudanjiang Site, 2014
  • ACM-ICPC Asia Regional Contest, Sliver Medal: AnShan Site, 2014
  • ACM-ICPC Asia Regional Contest, Sliver Medal: BeiJing Site, 2015
  • The 2015 China Collegiate Programming Contest, Sliver Medal
  • Northeast Collegiate Programming Contest, Second Place, 2015
  • CodeCup 2015: Gold Medal
  • ACM-ICPC China Provincial Programming Contest, Gold Medal, Jilin, 2014

📖 Educations

  • 2019.09 - 2022.06, Ph.D., Computer Science and Technology, Nanjing University, Nanjing.
  • 2017.09 - 2019.07, Master, Computer Science and Technology, Nanjing University, Nanjing.
  • 2013.09 - 2017.07, Undergraduate, School of Software, Jilin University, Jilin.

📚 Teaching

🤝 Activities

Conference Committee

  • Senior Program Committee Member, IJCAI 2021.
  • Senior Program Committee Member, ACML 2021/2022.
  • Program Committee Member, NeurIPS 2020/2021/2022/2023.
  • Program Committee Member, ICML 2020/2021/2022/2023.
  • Program Committee Member, ICLR 2021/2022/2023.
  • Program Committee Member, KDD 2020/2021/2022/2023.
  • Program Committee Member, IJCAI 2020/2021/2022/2023.
  • Program Committee Member, AAAI 2019/2020/2021/2022.
  • Program Committee Member, ECML 2023
  • Program Committee Member, UAI 2023

Journal Reviewer

  • Reviewer for IEEE TKDE, IEEE TSMCS, Artificial Intelligence, Machine Learning, Neural Networks, Pattern Recognition, etc.

Organization Committee