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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Posts
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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 Machine Learning, Multimodal Learning, Robust & Trustworthy AI, Multimodal Large Language Models, and Physical AI.
publications
Published in , 1900
2026
- Yongxiang Li, Yanglin Feng, Yuan Sun, Dezhong Peng, Rui Wang, Xiaomin Song, Peng Hu#. Learning Cross-modal Self-distillation Hashing with Noisy Labels[J]. IEEE Transactions on Knowledge and Data Engineering, 2026.
- Shuxian Li, Changhao He, Xi Peng, Peng Hu#, Robust Multiview Learning Under Noisy Correspondence, Proceedings of the 34th ACM International Conference on Multimedia (ACM MM), 10–14 November 2026.
- Shuai Lyu, Yuning Gong, Ruiling Gao, Xiaoran Shang, Zhonghong Ou, Ping Zong, Yifan Zhu, Yuan Sun, Yang Qin, Peng Hu, Multi-Branch Policy Optimization for Multimodal Large Language Models, Proceedings of the 34th ACM International Conference on Multimedia (ACM MM), 10–14 November 2026.
- Ruitao Pu, Chao Su, Peng Hu, Zhenwen Ren, Dezhong Peng, Yuan Sun#, NOTO: Noise-Tolerate Evidential Learning for Open-Set Cross-modal Retrieval，IEEE Transactions on Image Processing (TIP), 2026.
- Yanglin Feng, Yang Qin, Dezhong Peng, Rui Wang, Xiaomin Song, Peng Hu#, Multimodal Nested Learning for Decoupled and Coordinated Optimization, International Conference on Machine Learning (ICML), 2026.
- Kaiqi Chen, Yang Qin, Changhao He, Xi Peng, Peng Hu#, DOUBT: Decoupled Object-level Understanding and Bridging via vMF-based Trustworthiness for Hallucination Detection in MLLMs, International Conference on Machine Learning (ICML), 2026.
- Changhao He, Shuhaoyan, Shuxian Li, Xi Peng, Peng Hu#, RLSF-V: Mitigating Hallucinations in MLLMs via Fuzzy Semantic Self-Feedback, International Conference on Machine Learning (ICML), 2026.
- Xincheng Sun, Ruitao Pu, Guangsi Shi, Zhenwen Ren, Peng Hu, Yuan Sun#, Learning with Admissibility: Robust Fuzzy Hashing for Cross-Modal Retrieval with Noisy Labels, International Conference on Machine Learning (ICML), 2026.
- Yang Qin, Yanglin Feng, Yuan Sun, Dezhong Peng, Xi Peng, Peng Hu#, Deep Information-Balanced Multimodal Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 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.