In 2025, ICML received 12,107 submissions (not including desk-rejected papers). From these submissions, 3,260 were accepted, giving an acceptance rate of 26.9%. Only 313 were designated as “spotlight posters” – representing the top 2.6% of all submissions. The spotlights represent the submissions most highly-recommended by the program committee.
@inproceedings{feng2025on,title={On the Guidance of Flow Matching},author={Feng, Ruiqi and Yu, Chenglei and Deng, Wenhao and Hu, Peiyan and Wu, Tailin},booktitle={International Conference on Machine Learning},year={2025},}
ICML’25
From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE Control
Peiyan Hu*, Xiaowei Qian*, Wenhao Deng, Rui Wang, and 6 more authors
In International Conference on Machine Learning, 2025
@inproceedings{hu2025from,title={From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe {PDE} Control},author={Hu, Peiyan and Qian, Xiaowei and Deng, Wenhao and Wang, Rui and Feng, Haodong and Feng, Ruiqi and Tao Zhang, Long Wei and Wang, Yue and Ma, Zhi-Ming and Wu, Tailin},booktitle={International Conference on Machine Learning},year={2025},}
ICLR’25
CL-DiffPhyCon: Closed-loop Diffusion Control of Complex Physical Systems
Long Wei*, Haodong Feng*, Yuchen Yang, Ruiqi Feng, and 5 more authors
In International Conference on Learning Representations, 2025
@inproceedings{wei2025cldiffphycon,title={{CL}-DiffPhyCon: Closed-loop Diffusion Control of Complex Physical Systems},author={Wei, Long and Feng, Haodong and Yang, Yuchen and Feng, Ruiqi and Hu, Peiyan and Zheng, Xiang and Zhang, Tao and Fan, Dixia and Wu, Tailin},booktitle={International Conference on Learning Representations},year={2025},}
ICLR’25
Wavelet Diffusion Neural Operator
Peiyan Hu*, Rui Wang*, Xiang Zheng, Tao Zhang, and 6 more authors
In International Conference on Learning Representations, 2025
@inproceedings{hu2025wavelet,title={Wavelet Diffusion Neural Operator},author={Hu, Peiyan and Wang, Rui and Zheng, Xiang and Zhang, Tao and Feng, Haodong and Feng, Ruiqi and Wei, Long and Wang, Yue and Ma, Zhi-Ming and Wu, Tailin},booktitle={International Conference on Learning Representations},year={2025},}
2024
NeurIPS’24
Robust Graph Neural Networks via Unbiased Aggregation
Zhichao Hou*, Ruiqi Feng*, Tyler Derr, and Xiaorui† Liu
In Advances in Neural Information Processing Systems, 2024
@inproceedings{RobustGNN,author={Hou, Zhichao and Feng, Ruiqi and Derr, Tyler and Liu, Xiaorui},booktitle={Advances in Neural Information Processing Systems},title={Robust Graph Neural Networks via Unbiased Aggregation},url={https://proceedings.neurips.cc/paper_files/paper/2024/file/c6e31f86c1eb8dfc05190cf15ed52064-Paper-Conference.pdf},year={2024},}
NeurIPS’24
DiffPhyCon: A Generative Approach to Control Complex Physical Systems
Long Wei*, Peiyan Hu*, Ruiqi Feng*, Haodong Feng, and 6 more authors
In Advances in Neural Information Processing Systems, 2024
@inproceedings{NEURIPS2024_07a363fd,author={Wei, Long and Hu, Peiyan and Feng, Ruiqi and Feng, Haodong and Du, Yixuan and Zhang, Tao and Wang, Rui and Wang, Yue and Ma, Zhi-Ming and Wu, Tailin},booktitle={Advances in Neural Information Processing Systems},editor={Globerson, A. and Mackey, L. and Belgrave, D. and Fan, A. and Paquet, U. and Tomczak, J. and Zhang, C.},pages={4090--4147},publisher={Curran Associates, Inc.},title={DiffPhyCon: A Generative Approach to Control Complex Physical Systems},volume={37},year={2024},}
