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
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.
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
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