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.

Published in , 1900

2025

• Boyun Li*, Yuanbiao Gou*, Wenxin Wang, Peng Hu, Wangmeng Zuo, Xi Peng#, Relationship Quantification of Image Degradations, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.
• Qihong Song, Xiting Liu, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng, Peng Hu#, Deep Unsupervised Hashing via External Guidance, Forty-second International Conference on Machine Learning (ICML), 2025.
• Siyuan Duan, Yuan Sun, Dezhong Peng, Guiduo Duan, Xi Peng, Peng Hu#, Deep Fuzzy Multi-view Learning for Reliable Classification, Forty-second International Conference on Machine Learning (ICML), 2025.
• Siyuan Duan, Wenyuan Wu, Peng Hu, Zhenwen Ren, Dezhong Peng, Yuan Sun#, CoPINN: Cognitive Physics-informed Neural Network, Forty-second International Conference on Machine Learning (ICML), (Spotlight, acc rate=2.6%).
• Guofeng Ding, Yiding Lu, Peng Hu, Mouxing Yang, Yijie Lin#, Xi Peng#, Visual Abstraction: A Plug-and-Play Approach for Text-Visual Retrieval, Forty-second International Conference on Machine Learning (ICML), 2025.
• Yiding Lu, Mouxing Yang, Dezhong Peng, Peng Hu, Yijie Lin#, Xi Peng#, LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification, Forty-second International Conference on Machine Learning (ICML), 2025.
• Kai Guo, Jiedong Wang, Xi Peng, Peng Hu, Hao Wang, Disentangling Multi-view Representations via Curriculum Learning with Learnable Prior, The 34th International Joint Conference on Artificial Intelligence (IJCAI-25), 2025.
• Jiedong Wang, Kai Guo, Peng Hu, Xi Peng, Hao Wang, Learning Robust Multi-view Representation Using Dual-masked VAEs, The 34th International Joint Conference on Artificial Intelligence (IJCAI-25), 2025.
• Peng Hu, Yang Qin, Yuanbiao Gou, Yunfan Li, Mouxing Yang, Xi Peng#, Probabilistic Multimodal Learning with von Mises-Fisher Distributions, The 34th International Joint Conference on Artificial Intelligence (IJCAI-25), 2025.
• Shuxian Li*, Changhao He*, Xiting Liu, Joey Tianyi Zhou, Xi Peng, Peng Hu#, Learning with Noisy Triplet Correspondence for Composed Image Retrieval, The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
• Yang Qin, Chao Chen, Zhihang Fu, Dezhong Peng, Xi Peng, Peng Hu#, Human-centered Interactive Learning via MLLMs for Text-to-Image Person Re-identification, The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
• Yuan Sun, Yongxiang Li, Zhenwen Ren, Guiduo Duan, Dezhong Peng, Peng Hu#, ROLL: Robust Noisy Pseudo-label Learning for Multi-View Clustering with Noisy Correspondence, The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
• Siyuan Duan, Yuan Sun, Dezhong Peng, Zheng Liu, Xiaomin Song, Peng Hu#, Fuzzy Multimodal Learning for Trusted Cross-modal Retrieval, The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
• Boyun Li, Haiyu Zhao, Wenxin Wang, Peng Hu, Yuanbiao Gou, Xi Peng, MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration, The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
• Yang Qin, Chao Chen, Zhihang Fu, Ze Chen, Dezhong Peng#, Peng Hu#, Jieping Ye, ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL, International Conference on Learning Representations (ICLR), 2025. [Code]
• Haobin Li, Peng Hu, Qianjun Zhang, Xi Peng, XitingLiu, Mouxing Yang, Test-time Adaptation for Cross-modal Retrieval with Query Shift, The Thirteenth International Conference on Learning Representations (ICLR), 2025.
• Yanglin Feng, Yang Qin, Dezhong Peng, Hongyuan Zhu, Xi Peng, Peng Hu#, PointCloud-Text Matching: Benchmark Dataset and Baseline, IEEE Transactions on Multimedia, 2025.
• Yongxiang Li, Yuan Sun, Yang Qin, Dezhong Peng, Xi Peng, Peng Hu#, Robust Duality Learning for Unsupervised Visible-Infrared Person Re-Identification, IEEE Transactions on Information Forensics and Security, 2025.
• Yunfan Li, Hancong Li, Yijie Lin, Dan Zhang, Dezhong Peng, Xiting Liu, Jie Xie, Peng Hu, Lu Chen, Han Luo, Xi Peng#, MetaQ: Fast, Scalable and Accurate Metacell Inference via Single-Cell Quantization, Nature Communications (NCOMMS), 2025.
• Yuan Li, Liangli Zhen, Yuan Sun, Dezhong Peng, Xi Peng, Peng Hu#, Deep Evidential Hashing for Trustworthy Cross-modal Retrieval, Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2025), 2025.
• Zhenyu Huang*, Mouxing Yang*, Xinyan Xiao, Peng Hu, Xi Peng#, Noise-robust Vision-language Pre-training with Positive-negative Learning, Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 47, no. 1, pp. 338-350, Jan. 2025

2024

• Ruiming Guo*, Mouxing Yang*, Yijie Lin, Xi Peng, Peng Hu#, Robust Contrastive Multi-view Clustering against Dual Noisy Correspondence, Neural Information Processing Systems (NeurIPS), 2024.
• Honglin Liu, Peng Hu, Changqing Zhang, Yunfan Li#, Xi Peng#, Interactive Deep Clustering via Value Mining, Neural Information Processing Systems (NeurIPS), 2024.
• Haiyu Zhao, Lei Tian, Xinyan Xiao, Peng Hu, Yuanbiao Gou#, Xi Peng#, AverNet: All-in-one Video Restoration for Time-varying Unknown Degradations. Neural Information Processing Systems (NeurIPS), 2024.
• Changhao He, Hongyuan Zhu, Peng Hu#, Xi Peng, Robust Variational Contrastive Learning for Partially View-unaligned Clustering, ACM International Conference on Multimedia (ACM MM), Melbourne, Australia. Oct. 28 – Nov. 1 2024.
• Longan Wang, Yang Qin, Yuan Sun, Dezhong Peng, Xi Peng, Peng Hu#, Robust Contrastive Cross-modal Hashing with Noisy Labels, ACM International Conference on Multimedia (ACM MM), Melbourne, Australia. Oct. 28 – Nov. 1 2024.
• Yongxiang Li, Yang Qin, Yuan Sun, Dezhong Peng, Xi Peng, Peng Hu#, RoMo: Robust Unsupervised Multimodal Learning with Noisy Pseudo Labels, IEEE Transactions on Image Processing (TIP), 2024.
• Yuan Sun, Yang Qin, Yongxiang Li, Dezhong Peng, Xi Peng, Peng Hu#, Robust Multi-View Clustering with Noisy Correspondence, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024.
• Yunfan Li, Peng Hu, Dezhong Peng, Jiancheng Lv, Jianping Fan, Xi Peng#, Image Clustering with External Guidance, International Conference on Machine Learning (ICML), 2024. (Oral, acc rate=1.5%)
• Xinran Ma*, Mouxing Yang*, Yunfan Li, Peng Hu, Jiancheng Lv, Xi Peng#, Cross-modal Retrieval with Noisy Correspondence via Consistency Refining and Mining, IEEE Trans Image Processing (TIP), 2024. [Code]
• Zhenyu Huang, Peng Hu, Guocheng Niu, Xinyan Xiao, Jiancheng Lv, Xi Peng#, Learning with Noisy Correspondence, International Journal of Computer Vision (IJCV), 2024.
• Yang Qin, Yingke Chen, Dezhong Peng, Xi Peng, Joey Tianyi Zhou, Peng Hu#, Noisy-Correspondence Learning for Text-to-Image Person Re-identification, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [Code]
• Mouxing Yang, Yunfan Li, Changqing Zhang, Peng Hu, Xi Peng#, Test-time Adaption against Multi-modal Reliability Bias, 12th International Conference on Learning Representations (ICLR 2024), May 7-11, Vienna, Austria, 2024.
• Yiding Lu, Yijie Lin, Mouxing Yang, Dezhong Peng, Peng Hu#, Xi Peng#, Decoupled Contrastive Multi-view Clustering with High-order Random Walks, Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), Feb. 20-27, Vancouver, Canada, 2024. [Code]
• Yuan Sun, Jian Dai, Zhenwen Ren, Yingke Chen, Dezhong Peng，Peng Hu#, Dual Self-Paced Cross-Modal Hashing, Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), Feb. 20-27, Vancouver, Canada, 2024.
• Siyuan Hu, Zheng Wang, Peng Hu, Xi Peng, Jie Wu, Yew Soon Ong, Hongyuan Zhu, PrefAce: Face-centric Pretraining with Self-structure Aware Distillation, Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), Feb. 20-27, Vancouver, Canada, 2024.

Research Interests

• Multimodal Learning
• Multimedia Analysis
• Neural Network Compression