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Pages

Posts

Future Blog Post

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Blog Post number 4

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

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Blog Post number 2

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Blog Post number 1

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

about

Prof. Peng Hu

Peng Hu (胡鹏) is currently a professor at the College of Computer Science, Sichuan University. From 2019 to 2020, he was a research scientist at Institute for Infocomm, Research Agency for Science, Technology, and Research (A*STAR) Singapore. He received his Ph.D. degree in computer science and technology from Sichuan University, China, in 2019. His current interests mainly focus on multi-view learning, cross-modal retrieval, and network compression.

publications

Published in , 1900

2026

  • Changhao He, Di Xue, Shuxian Li, Yanji Hao, Xi Peng, Peng Hu#, Bootstrapping Multi-view Learning for Test-time Noisy Correspondence, The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
  • Yiwen Shan, Haiyu Zhao, Peng Hu, Xi Peng, Yuanbiao Gou, Next-Scale Prediction: A Self-Supervised Approach for Real-World Image Denoising, The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
  • Haochen Zhou, Guofeng Ding, Mouxing Yang, Peng Hu, Yijie Lin, Xi Peng, Uncover Underlying Correspondence for Robust Multi-view Clustering, The Fourteenth International Conference on Learning Representations (ICLR), 2026. (Oral, acc rate=1.18%)
  • Haobin Li, Yijie Lin, Peng Hu, Mouxing Yang, Xi Peng, Learning with Dual-level Noisy Correspondence for Multi-modal Entity Alignment, The Fourteenth International Conference on Learning Representations (ICLR), 2026. (Oral, acc rate=1.18%)
  • Yang Qin, Yuan Sun, Xi Peng, Dezhong Peng, Joey Tianyi Zhou, Xiaomin Song, Peng Hu#, Robust Semi-paired Multimodal Learning for Cross-modal Retrieval, The Fortieth AAAI Conference on Artificial Intelligence (AAAI 2026), Jan. 20-27, Singapore, 2026.
  • Haobin Li, Yijie Lin, Peng Hu, Mouxing Yang#, Xi Peng#, Community-aware Multi-view Representation Learning with Incomplete Information, IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI), 2026.

researches

Research Interests

  • Multimodal Learning
  • Multimedia Analysis
  • Neural Network Compression