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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.
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
2025
Yang Qin, Lifu Huang, Dezhong Peng, Bohan Jiang, Joey Tianyi Zhou, Xi Peng, Peng Hu#, Trustworthy Visual-Textual Retrieval, IEEE Transactions on Image Processing (TIP), 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.
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.