Zequn Yang

Zequn Yang (杨泽群)

I am a third-year Ph.D. student at the Gaoling School of Artificial Intelligence, Renmin University of China, advised by Prof. Di Hu and co-advised by Prof. Feiping Nie. My research interests center on the mechanisms of multimodal learning and multimodal interaction.

I received my Bachelor's degree in Automation from Beihang University in 2022.

Email / Github

News

[2025-05] One paper accepted by ICML 2025, thanks to all co-authors!

[2025-03] One paper accepted by CVPR 2025, thanks to all co-authors!

[2024-01] One paper accepted by ICLR 2024, thanks to all co-authors!

[2023-11] One paper accepted by Pattern Recognition, thanks to all co-authors!

Services

Reviewer: ICLR 2024, AAAI 2024, IJCAI 2025

Publications

	Efficient Quantification of Multimodal Interaction at Sample Level Zequn Yang, Hongfa Wang, Di Hu ICML 2025 Multimodal interaction quantification
	Adaptive Unimodal Regulation for Balanced Multimodal Information Acquisition Chengxiang Huang, Yake Wei, Zequn Yang, Di Hu CVPR 2025 Adaptive Multimodal Learning
	Quantifying and Enhancing Multi-modal Robustness with Modality Preference Zequn Yang, Yake Wei, Ce Liang, Di Hu ICLR 2024 arXiv /code Multi-modal Robustness
	Geometric-Inspired Graph-based Incomplete Multi-view Clustering Zequn Yang, Han Zhang, Yake Wei, Zheng Wang, Feiping Nie, Di Hu Pattern Recognition Incomplete multi-view clustering

Updated at May. 2025

Thanks Jon Barron and Yake Wei for this elaborate template.