About me

I am a first-year PhD student at Multimedia Lab (MMLab) in the Chinese University of Hong Kong, working with Prof. Xiangyu Yue. Previously, I was a master student at Beijing Institute of Technology (BIT), advised by Prof. Changsheng Li (2022-2025). I also received my Bachelor’s degree in Computer Science from BIT (2018 - 2022). I have published several papers in top conferences or journals, such as ICML, ICLR, NeurIPS, CVPR, KDD, ACL, IEEE TIP, IEEE TKDE, IEEE TPAMI, etc.

My research interests include Agentic AI, MLLMs and AIGC. Welcome for discussion and collaboration, feel free to drop me an email.

Selected Publications

	Gen-Searcher: Reinforcing Agentic Search for Image Generation arXiv 2026 Kaituo Feng, Manyuan Zhang, Shuang Chen, Yunlong Lin, Kaixuan Fan, Yilei Jiang, Hongyu Li, Dian Zheng, Chenyang Wang, Xiangyu Yue First work to explore training a deep research agent for generation. Paper Code
	OneThinker: All-in-one Reasoning Model for Image and Video CVPR 2026 Kaituo Feng, Manyuan Zhang, Hongyu Li, Kaixuan Fan, Shuang Chen, Yilei Jiang, Dian Zheng, Peiwen Sun, Yiyuan Zhang, Haoze Sun, et al Improves 10 fundamental visual tasks across 31 benchmarks by RL post-training. Paper Code
	Video-R1: Reinforcing Video Reasoning in MLLMs NeurIPS 2025 Kaituo Feng, Kaixiong Gong, Bohao Li, Zonghao Guo, Yibing Wang, Tianshuo Peng, Junfei Wu, Xiaoying Zhang, Benyou Wang, Xiangyu Yue Explore the R1 paradigm for eliciting video reasoning within MLLMs. Paper Code
	AdaTooler-V: Adaptive Tool-Use for Images and Videos ACL 2026 Findings Chaoyang Wang, Kaituo Feng†, Dongyang Chen, Zhongyu Wang, Zhixun Li, Sicheng Gao, Meng Meng, Xu Zhou, Manyuan Zhang, Yuzhang Shang, Xiangyu Yue (†project leader) Training adaptive tool-use visual agent via RL. Paper Code
	Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing NeurIPS 2025 Junfei Wu, Jian Guan, Kaituo Feng, Qiang Liu, Shu Wu, Liang Wang, Wei Wu, Tieniu Tan Achieveing o3-like thinking for spatial reasoning across images and videos. Paper Code
	SophiaVL-R1: Reinforcing MLLMs Reasoning with Thinking Reward ICLR 2026 Kaixuan Fan*, Kaituo Feng*, Haoming Lyu, Dongzhan Zhou, Xiangyu Yue (*equal contribution) Intergrating thinking-level reward to address the phenomenon of "wrong thinking, correct answer". Paper Code
	Critique-GRPO: Advancing LLM Reasoning with Natural Language and Numerical Feedback arXiv 2025 Xiaoying Zhang, Hao Sun, Yipeng Zhang, Kaituo Feng, Chaochao Lu, Chao Yang, Helen Meng Using external critiques as language feedback for improving reasoning Paper Code
	AV-Odyssey: Can Your Multimodal LLMs Really Understand Audio-Visual Information? ACL 2026 Kaixiong Gong*, Kaituo Feng*, Bohao Li*, Yibing Wang, Mofan Cheng, Shijia Yang, Jiaming Han, Benyou Wang, Yutong Bai, Zhuoran Yang, Xiangyu Yue (*equal contribution) We propose a comprehensive benchmark for evaluating audio-visual understanding abilities of MLLMs. Paper Code
	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
	Shared Growth of Graph Neural Networks via Prompted Free-Direction Knowledge Distillation IEEE TPAMI, KDD 2022 Kaituo Feng, Yikun Miao, Changsheng Li, Ye Yuan, Guoren Wang We utilize reinforcement learning to exchange beneficial knowledge between two GNNs Paper

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.

Contact

• Email: kaituofeng@gmail.com