Published multiple papers in top-tier conferences and journals such as ICML'24, NeurIPS'23 D&B, ICDM'23, TMLR, AAAI'23, Artificial Intelligence, JMLR, MICCAI'22, ECML/ML Journal Track, KAIS. Involved in significant research projects, including a major project funded by the Ministry of Science and Technology (No. 2021ZD011030303).
Research Experience
Former Scientific Researcher at Big Data Laboratory of Baidu Inc.; Currently contributing to the open-source toolkit InterpretDL, which collects many mainstream XAI algorithms.
Education
Ph.D. from Heudiasyc, Université de technologie de Compiègne in France, advised by Yves Grandvalet and Franck Davoine; Master and Bachelor degrees from Beihang University, China.
Background
Currently works at Baidu NLP group for ErnieBot (文心一言). Research interests include Explainable AI, Transfer Learning, Self-Supervised Learning, and Multi-Modal Learning, applied to both computer vision and natural language processing.
Miscellany
Looking for self-motivated interns interested in Data-Centric AI, LLM, RL, or related topics.