Changhao He / 何长浩

I am Changhao He (何长浩), a second-year Master's student in the College of Computer Science at Sichuan University, where I am fortunate to be advised by Prof. Peng Hu (胡鹏) and Prof. Xi Peng (彭玺). Starting this year, I will continue my academic journey as a Ph.D. student under their guidance.

I received my Bachelor's degree in 2023 from the College of Mechanical Engineering at Sichuan University, majoring in Material Forming and Control Engineering. Motivated by a deep interest in artificial intelligence, I made a cross-disciplinary transition into the field of computer science.

Email  /  Google Scholar  /  Github

profile photo

Research

My research focuses on Multi-modal Learning and Noisy Correspondence. Our group maintains the Awesome Noisy Correspondence repository GitHub stars, a resource hub for research in noisy correspondence. If you have any suggestions or ideas, we warmly invite you to get in touch with us.

News

[2025-04] Gave a talk @ Chongqing University of Posts and Telecommunications. Slides available.

[2025-02] 🎉🎉 One paper was accepted by CVPR 2025! Thanks to all coauthors.

[2024-07] 🎉🎉 One paper was accepted by ACM MM 2024! Thanks to all coauthors.

Publications (#: Equal contribution, †: Corresponding author)
TME Learning with Noisy Triplet Correspondence for Composed Image Retrieval

Shuxian Li#, Changhao He#, Xiting Liu, Joey Tianyi Zhou, Xi Peng, Peng Hu†

CVPR, 2025
paper / code

Introducing a novel setting (learning with noisy triplet correspondence) in CIR, thus offering a new design perspective for existing supervised methods.
VITAL Robust Variational Contrastive Learning for Partially View-unaligned Clustering

Changhao He, Hongyuan Zhu, Peng Hu†, Xi Peng

ACM MM, 2024
paper / code

A novel Variational Contrastive Learning paradigm to solve PVP (Partially View-aligned Problem).

Honors and Awards

• National Scholarship, 2024.11

• Outstanding Student of Sichuan University, 2024.10
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Last updated: May 2025
Design and source code from Jon Barron