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Zheng Wang

Professor, Wuhan University

In 2020 - 2021, he was a Project Assistant Professor at Computer Vision and Media Lab and RIISE Institute, The University of Tokyo (東京大学), Japan. In 2017 - 2020, he was a JST CREST Project Researcher (特任研究員) and JSPS Fellowship Researcher (日本学術振興会外国人特別研究員) at Shin'ichi Satoh Lab, National Institute of Informatics (国立情報学研究所), Japan. In Jun. 2017, he received Ph.D. at National Engineering Research Center for Multimedia Software (国家多媒体软件工程技术研究中心), Wuhan University (武汉大学) with honors. His research interests focus on multimedia content analysis and retrieval.

Room South-602, Undergraduate School Building, Wuhan University, Wuhan 430072, China
wangzwhu(at)whu.edu.cn; wangzwhu(at)gmail.com

Recent News
  • Feb 2024: four papers are accepted by CVPR 2024. HumanNeRF-SE, Bi-Causal
  • Dec 2023: two papers are accepted by AAAI 2024.
  • Oct 2023: one papers are accepted by ACM Computing Surveys.

  • Work Experience
  • 2023.04 - 2023.04: Visiting Professor, A*STAR, Singapore | Host: Hongyuan Zhu, Ong Yew Soon
  • 2020.09 - 2021.09: Project Assistant Professor, The University of Tokyo, Japan | Host: Toshihiko Yamasaki, Kiyoharu Aizawa
  • 2018.10 - 2020.09: JSPS Fellowship Researcher, National Institute of Informatics, Japan | Host: Shin'ichi Satoh
  • 2017.10 - 2018.09: JST CREST Project Researcher, National Institute of Informatics, Japan | Host: Shin'ichi Satoh

  • Selected Work
  • Uncovering the Unseen: Discover Hidden Intentions by Micro-Behavior Graph Reasoning, Z Zhou, W Liu, D Xu, Z Wang*, J Zhao, ACM MM, 2023
  • Gaze- and Spacing-flow Unveil Intentions: Hidden Follower Discovery, D Xu, R Hu, Z Wang, L Luo, D Li, W Zeng, ACM MM, 2022
  • HOTCOLD Block: Fooling Thermal Infrared Detectors with a Novel Wearable Design, H Wei, Z Wang, X Jia, Y Zheng, H Tang, S Satoh, Z Wang*, AAAI, 2023
  • Contributing Dimension Structure of Deep Feature for Coreset Selection, Z Wan, Z Wang, Y Wang, Z Wang*, H Zhu, S Satoh, AAAI, 2024
  • A Survey of Dataset Refinement for Problems in Computer Vision Datasets, Z Wan, Z Wang, C Chung, Z Wang*, ACM Computing Surveys, 2023
  • CycMuNet+: Cycle-Projected Mutual Learning for Spatial-Temporal Video Super-Resolution, M Hu, K Jiang, Z Wang*, X Bai, R Hu, IEEE TPAMI, 2023
  • Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding, X Ma, Z Wang, Y Zhan, Y Zheng, Z Wang*, D Dai, CW Lin, CVPR, 2022
  • Beyond Domain Gap: Exploiting Subjectivity in Sketch-Based Person Retrieval, K Lin, Z Wang, Z Wang*, Y Zheng, S Satoh, ACM MM, 2023
  • Good Is Bad: Causality Inspired Cloth-Debiasing for Cloth-Changing Person Re-Identification, Z Yang, M Lin, X Zhong, Y Wu, Z Wang*, CVPR, 2023
  • Learning to Reduce Dual-level Discrepancy for Infrared-Visible Person Re-identification, Z Wang, Z Wang*, Y Zheng, YY Chuang, S Satoh, CVPR, 2019