Data-Efficient Machine Learning: Few-Shot Learning, Self-Supervised Learning, and Large Models.
Invited Talk: Qiyuan Lab, Beijing, Aug 2023.
Theoretical Insights into Self-Supervised Contrastive Learning. [slides] [video]
Invited Talk: Data mining and Information Retrieval Laboratory, Guangdong University of Technology, Dec 2023.
Invited Talk: Laboratory for Quantum Computation and Theoretical Computer Science, ICT, CAS, Nov 2023.
Invited Talk: School of Computer Science & Technology, Beijing Institute of Technology, Nov 2023.
Speaker: “Qingyuan·Science” Lecture Series, Shanghai Jiao Tong University, May 2023.
Self-Supervised Learning Theory. [slides] [video]
Speaker: Alumni Forum of IIIS, Tsinghua University, Mar 2022.
Speaker: National Engineering Laboratory for Big Data Analysis and Applications, Peking University, Mar 2022.
The Generalization of Contrastive Self-Supervised Learning. [slides]
Invited Talk: Wangxuan Institute of Computer Technology, Peking University, Dec 2021.
Invited Talk: Kuaishou Technology, Dec 2021.
Invited Talk: Gaoling School of Artificial Intelligence, Renmin University of China, Dec 2021.
Invited Talk: Huawei Theoretical Computer Science Lab, Dec 2021.
Invited Talk: National Tianyuan Mathematics Central Center, Wuhan University, Dec 2021.
Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? [slides] [video]
Speaker: The 2021 Machine Learning and Scientific Computing Workshop, Wuhan University, Aug 2021.
Invited Talk: Department of Computer Science & Technology, Nanjing University, Jun 2021.
Speaker: The 2021 BAAI Conference, Beijing, Jun 2021.
Panels:
“Self-Supervised Learning”, The 2021 BAAI Conference, Beijing, Jun 2021. [video]