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Resume (English only)
Academic Achievements
Published several papers, including 'Brain Netflix: Scaling Data to Reconstruct Videos from Brain Signals' (ECCV 2024), 'Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Models' (arXiv 2024), 'LangNav: Language as a Perceptual Representation for Navigation' (NAACL 2024), etc. Won the Egocentric Vision 2022/2023 Distinguished Paper Award.
Research Experience
Worked at Apple AI/ML Foundation Model team; involved in multiple research projects such as Brain Netflix, Dense Training, Sparse Inference, etc.
Education
Obtained B.E. from Shanghai Jiao Tong University in 2019; then received a Ph.D. in Computer Science from MIT CSAIL, advised by Dr. Aude Oliva.
Background
Research interests include efficient AI, video understanding, and multimodal LLM agents. Currently, he is a researcher with Apple AI/ML Foundation Model team in New York City.
Miscellany
In his spare time, he plays soccer and was fortunate to meet a great group of soccer buddies during his PhD at Cambridge. They participated in the MIT Intramural (Beaver Cup) and reached the semifinals in the 2023-2024 season.