Selected Publications

	On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving CVPR 2024 Kaituo Feng, Changsheng Li, Dongchun Ren, Ye Yuan, Guoren Wang We constitute the first attempt to explore a knowledge distillation method to compress end-to-end autonomous driving planners. Paper Code
	Keypoint-based Progressive Chain-of-Thought Distillation for LLMs ICML 2024 Kaituo Feng, Changsheng Li, Xiaolu Zhang, Jun Zhou, Ye Yuan, Guoren Wang We propose a new compression method to progressively distill the emergent reasoning capabilities of LLMs into smaller models, as well as encouraging the precise mimicry of significant tokens. Paper
	Towards Open Temporal Graph Neural Networks ICLR 2023, Oral, 90/4922 Kaituo Feng, Changsheng Li, Xiaolu Zhang, Jun Zhou We propose the first class-incremental learning for temporal GNNs, allowing temporal graphs to evolve in the real-world scenarios with an open class set Paper Code

Selected Honors and Awards

• National Scholarship, Ministry of Education of China (TOP 2%), 2024.

• National Scholarship, Ministry of Education of China (TOP 2%), 2023.

• Outstanding Undergraduate Student of Beijing Institute of Technology, 2022.

• Silver Medal of 45th ACM-ICPC Asia Regional Contest, 2020.

• First Prize (top 1%) of China Undergraduate Mathematical Contest in Modeling (CUMCM), 2020.

• Gold Medal of Group Programming Ladder Tournament China Finals, 2020.