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
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 2023 Workshop on The 3rd Anti-UAV Workshop & Challenge
CVPR 2020 Tutorial on Image Retrieval in the Wild
IEEE ICME 2021 Special Session on Knowledge-Driven Multi-modal Deep Analysis for Multimedia
IEEE ICME 2020 Special Session on Graph Neural Networks for Multimedia Representation Learning
ACM ICMR 2024 Workshop on Multimedia Object Re-ID: Advancements, Challenges, and Opportunities
ACM ICMR 2020 Special Session on Human-Centric Cross-modal Retrieval
FG 2024 Workshop & Challenge SkatingVerse
IEEE MIPR 2021 Workshop on Cross Modal Person Reidentification
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)