In 2017, I received my Ph.D. from the 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). From 2017 to 2020, I worked as 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 the National Institute of Informatics (国立情報学研究所), Japan, under the guidance of Shin'ichi Satoh. From 2020 to 2021, I served as an Assistant Professor at The University of Tokyo (東京大学), where I collaborated with Toshihiko Yamasaki and Kiyoharu Aizawa. I have also participated in several international research visits, including: A*STAR, Singapore, in 2023, working with Hongyuan Zhu and Ong Yew Soon; NExT++, National University of Singapore (NUS) in 2024, collaborating with Tat-Seng Chua; and NAII, NUS, in 2025, working with Mohan Kankanhalli.
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
HumanNeRF-SE: A Simple yet Effective Approach to Animate HumanNeRF with Diverse Poses, C Ma, YL Liu, Z Wang, W Liu, X Liu, Z Wang*, CVPR, 2024
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
Beyond Domain Gap: Exploiting Subjectivity in Sketch-Based Person Retrieval, K Lin, Z Wang, Z Wang*, Y Zheng, S Satoh, ACM MM, 2023
Physical Adversarial Attack Meets Computer Vision: A Decade Survey, Hui Wei, H Tang, X Jia, Z Wang, H Yu, Z Li, S Satoh, LV Gool, Z Wang*, IEEE TPAMI, 2024
Revisiting Adversarial Patches for Designing Camera-Agnostic Attacks against Person Detection, H Wei, Z Wang, K Zhang, J Hou, Y Liu, H Tang, Z Wang*, NeurIPS, 2024
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
Predicting the Unseen: A Novel Dataset for Hidden Intention Localization in Pre-abnormal Analysis, Z Qi, R Zhang, X Hu, W Liu, Z Wang*, ACM MM, 2024
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
Applied Sciences Special Issue Recent Advances in Image Processing
Electronics Special Issue Multimedia Content Analysis, Management and Retrieval: Trends and Challenges
Pattern Recognition Letters Special Issue Recent Advances in Deep Learning Model Security
Entropy Special Issue Advances in Image Fusion
ACM MM 2024 Workshop on Multi-modal Misinformation Governance in the Era of Foundation Models
FG 2024 Workshop & Challenge SkatingVerse
ICMR 2024 Workshop on Multimedia Object Re-ID: Advancements, Challenges, and Opportunities
CVPR 2023 Workshop on The 3rd Anti-UAV Workshop & Challenge
ACM MM 2022 Tutorial on Multimedia Content Understanding in Harsh Environments
ACM MM 2020 Tutorial on Effective and Efficient: Toward Open-world Instance Re-identification
CVPR 2020 Tutorial on Image Retrieval in the Wild
IEEE ICME 2021 Special Session on Knowledge-Driven Multi-modal Deep Analysis for Multimedia
IEEE MIPR 2021 Workshop on Cross Modal Person Reidentification
IEEE ICME 2020 Special Session on Graph Neural Networks for Multimedia Representation Learning
ACM ICMR 2020 Special Session on Human-Centric Cross-modal Retrieval
2023, ACM Wuhan Rising Star Award | ACM武汉新星奖
2020, MEXT Leading Initiative for Excellent Young Researcher (LEADER) | 日本文部科学省卓越研究員
2019, The Best Young Scholar, Association of Chinese Alumni In Japan | 最優秀青年学者者賞(情報通信部門)
2018, CSIG Doctoral Dissertation Nomination Award, China Society of Image and Graphics (CSIG) | 中国图象图形学学会优秀博士学位论文提名奖
2017, ACM Wuhan Doctoral Dissertation Award, Association for Computing Machinery | ACM武汉分会优秀博士论文奖
2014, Best Paper Award, Pacific-Rim Conference on Multimedia (PCM)