Kaituo Feng

According to our database, Kaituo Feng authored at least 8 papers between 2022 and 2024.

Collaborative distances:

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

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