🤵🏻 About Me

I am a machine learning researcher with research interests in weakly supervised learning, robust machine learning, model adaptation. 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 artificial intelligence and machine learning. Most recently, I am interested in the following topics:

  • Robust Machine Learning in Open Environments
    • Robust machine learning with new/unseen class or out-of-distribution (OOD) data.
    • Robust machine learning with decremental/incremental features.
    • Robust machine learning with changing data distributions.
  • Large Language Model and Foundation Models
    • Robustness and safety of large models.
    • Application of large models on specific downstream tasks.
  • Model Adaptation and Learnware
    • How to organize various machine learning models to solve different AI tasks.
  • Semi-Supervised Learning
    • Exploit unlabeled data to improve learning performance when labels are insufficient.

📢: 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

  • 2024.01: One Paper is accepted by ICLR 2024!
  • 2023.12: CFP: We are organizing a "Robust Machine Learning in Open Environments" workshop in PAKDD 2024, Taipei, May 7, 2024
  • 2023.12: One Paper is accepted by IEEE TVCG!
  • 2023.11: One paper is accepted by Science China Information Science!
  • 2023.08: One paper is accepted by 《中国科学:信息科学》!
  • 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!
  • 2022.07: We open-sourced the semi-supervised learning toolkit LAMDA-SSL.⛏️ 🛠️

📝 Publications

Conference Papers

Journal Papers

Thesis

💻 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.
    [Tutorial][Github]
  • LawGPT: A Large Language Model in the Legal Domain.
    [Github]

🏆 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

  • 人工智能导论(Introduction to Artificial Intelligence) For undergraduate students, Fall 2023.
  • 高级机器学习(Advanced Machine Learning) For graduate students, Fall 2023.

🎈 Students

Graduate Students

  • Hao-Zhe Tan, 2023--
  • Zi-Kang Wang, 2023--
  • Song-Lin Lv, 2024--
  • Tian-Chi Ma, 2024--
  • Zi-Jian Cheng, 2024--

🤝 Activities

Conference Committee

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