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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

Peng Hu (胡鹏) is currently an associate researcher 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

2022

  • Yang Qin, Dezhong Peng, Xi Peng, Xu Wang, Peng Hu*, Deep Evidential Learning with Noisy Correspondence for Cross-modal Retrieval, Proceedings of the 30th ACM International Conference on Multimedia, 10-14 October 2022.[code]
  • Peng Hu, Hongyuan Zhu, Jie Lin, Dezhong Peng, Yin-Ping Zhao, Xi Peng*, Unsupervised Contrastive Cross-modal Hashing, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 26 May 2022. DOI: 10.1109/TPAMI.2022.3177356.[code]
  • Mouxing Yang, Zhenyu Huang, Peng Hu, Taihao Li, Jiancheng Lv, Xi Peng*, Learning with Twin Noisy Labels for Visible-Infrared Person Re-Identification, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA. Jun. 19-25, 2022.[code]
  • Boyun Li, Xiao Liu, Peng Hu, Zhongqin Wu, Jiancheng Lv, Xi Peng*, All-In-One Image Restoration for Unknown Corruption, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA. Jun. 19-25, 2022.[code]
  • Mouxing Yang, Yunfan Li, Peng Hu, Jinfeng Bai, Jiancheng Lv, Xi Peng*, Robust Multi-view Clustering with Incomplete Information, IEEE Trans Pattern Analysis and Machine Intelligence (TPAMI), Feb. 2022. DOI: 10.1109/TPAMI.2022.3155499.[code]

researches

Research Interests

  • Multi-view Learning
  • Multimedia Analysis
  • Neural Network Compression