He has published over 50 high-level papers in journals and conferences such as Nature Machine Intelligence, IEEE TPAMI, ICLR, and ICML. He has received awards including the CAS President's Award, Beijing Outstanding Graduate, Top 100 Rising Stars in AI (2021), and the Best Paper Award (runner-up) at IEEE ICME 2019. His research has been featured in top technology media such as MIT Technology Review.
Research Experience
He has led projects funded by the National Natural Science Foundation of China, Beijing-Xiaomi Joint Fund, Special Research Assistant Program of the Chinese Academy of Sciences, and the CAAI-Huawei MindSpore Academic Reward Fund. He has also been a key researcher in major national projects such as the Science and Technology Innovation 2030 - 'Brain Science and Brain-like Research' and the National Key R&D Program of China. He serves as a reviewer/program committee member for journals/conferences like Nat. Hum. Beh., TPAMI, NeurIPS, ICLR, CVPR, and is a young editor for The Innovation Informatics and a member of the Pattern Recognition and Machine Intelligence Committee of the Chinese Association of Automation.
Education
Ph.D. (specific school and advisor information not provided)
Background
Associate Researcher at the Institute of Automation, Chinese Academy of Sciences, and a Master's supervisor. His research areas include artificial intelligence, cognitive science, AI for Brain Science, NeuroAI, and brain-computer intelligence. Main research directions focus on neural encoding and decoding, multimodal neural computing, visual-language-brain joint modeling, and evaluation and interpretation of large models.
Miscellany
He has been invited to give academic presentations at top international conferences such as OHBM, ACMMM, and AAAI.