Published multiple papers in top conferences and journals such as ICML, ACL, IJCAI, etc. Hosted tutorials on model reuse at AAAI 2024 with Yao-Xiang Ding and on continual learning at IJCAI 2023 with Ying Wei and Da-Wei Zhou. Released several open-source toolboxes and benchmarks, including Tabular Data Learning Toolbox TALENT, Multilingual Multimodal Large Language Model Parrot, and more.
Research Experience
(Pre-Tenure) Associate Professor at the School of Artificial Intelligence, Nanjing University. Conducted M.Sc. and Ph.D. research in the LAMDA Group and visited USC LA for research collaboration.
Education
Received B.Sc. degree from Nanjing University of Posts and Telecommunications, China in June 2013. Then became an M.Sc. student in the LAMDA Group led by Professor Zhi-Hua Zhou at Nanjing University. Started Ph.D. in machine learning under the supervision of Prof. Yuan Jiang and Prof. De-Chuan Zhan from Sept. 2015. Visited Prof. Fei Sha's group at the University of Southern California, LA during 2017-2018. Received his PhD degree in May 2019.
Background
Major research focuses on machine learning and its applications to data mining and computer vision, including representation learning, meta-learning, model reuse, and tabular machine learning.