Kaituo Feng

According to our database, Kaituo Feng authored at least 14 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Shared Growth of Graph Neural Networks via Prompted Free-Direction Knowledge Distillation.

Kaituo Feng, Yikun Miao, Changsheng Li, Ye Yuan, Guoren Wang

IEEE Trans. Pattern Anal. Mach. Intell., June, 2025

Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing.

Junfei Wu, Jian Guan, Kaituo Feng, Qiang Liu, Shu Wu, Liang Wang, Wei Wu, Tieniu Tan

CoRR, June, 2025

Critique-GRPO: Advancing LLM Reasoning with Natural Language and Numerical Feedback.

Xiaoying Zhang, Hao Sun, Yipeng Zhang, Kaituo Feng, Chaochao Lu, Chao Yang, Helen Meng

CoRR, June, 2025

MME-Reasoning: A Comprehensive Benchmark for Logical Reasoning in MLLMs.

Jiakang Yuan, Tianshuo Peng, Yilei Jiang, Yiting Lu, Renrui Zhang, Kaituo Feng, Chaoyou Fu, Tao Chen, Lei Bai, Bo Zhang, Xiangyu Yue

CoRR, May, 2025

SophiaVL-R1: Reinforcing MLLMs Reasoning with Thinking Reward.

Kaixuan Fan, Kaituo Feng, Haoming Lyu, Dongzhan Zhou, Xiangyu Yue

CoRR, May, 2025

Video-R1: Reinforcing Video Reasoning in MLLMs.

Kaituo Feng, Kaixiong Gong, Bohao Li, Zonghao Guo, Yibing Wang, Tianshuo Peng, Benyou Wang, Xiangyu Yue

CoRR, March, 2025

2024

Robust Knowledge Adaptation for Dynamic Graph Neural Networks.

Hanjie Li, Changsheng Li, Kaituo Feng, Ye Yuan, Guoren Wang, Hongyuan Zha

IEEE Trans. Knowl. Data Eng., November, 2024

Learning to Generate Parameters of ConvNets for Unseen Image Data.

Shiye Wang, Kaituo Feng, Changsheng Li, Ye Yuan, Guoren Wang

IEEE Trans. Image Process., 2024

AV-Odyssey Bench: Can Your Multimodal LLMs Really Understand Audio-Visual Information?

Kaixiong Gong, Kaituo Feng, Bohao Li, Yibing Wang, Mofan Cheng, Shijia Yang, Jiaming Han, Benyou Wang, Yutong Bai, Zhuoran Yang, Xiangyu Yue

CoRR, 2024

Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank Constraint?

Xi Chen, Kaituo Feng, Changsheng Li, Xunhao Lai, Xiangyu Yue, Ye Yuan, Guoren Wang

CoRR, 2024

Keypoint-based Progressive Chain-of-Thought Distillation for LLMs.

Kaituo Feng, Changsheng Li, Xiaolu Zhang, Jun Zhou, Ye Yuan, Guoren Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving.

Kaituo Feng, Changsheng Li, Dongchun Ren, Ye Yuan, Guoren Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Towards Open Temporal Graph Neural Networks.

Kaituo Feng, Changsheng Li, Xiaolu Zhang, Jun Zhou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

FreeKD: Free-direction Knowledge Distillation for Graph Neural Networks.

Kaituo Feng, Changsheng Li, Ye Yuan, Guoren Wang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022