Zhedong Zheng (郑哲东)
Hi! I am currently a tenure-track assistant professor with the University of Macau. Prior to this, I was a postdoctoral research fellow at School of Computing, National University of Singapore with Prof. Tat-Seng Chua and Prof. Angela Yao. I received Ph.D. from the ReLER Lab, University of Technology Sydney (UTS) , under the supervision of Prof. Yi Yang and Dr. Liang Zheng (co-supervisor).
Before that, I completed my Bachelor’s degree from Fudan University in 2016, under the supervision of Prof. Xiangyang Xue.
Throughout my academic journey, I have been fortunate to collaborate with several talented researchers, Xiaodong Yang (Nvidia), Zhiding Yu (Nvidia), Jan Kautz (Nvidia), Minyue Jiang (Baidu) and Xiao Tan (Baidu). I have published 50+ papers 
Open-source projects can be found at my [Github], and publications can be found at SCI, SCOPUS, or Google Scholar. More details can be found in my [CV].
Open Positions
I am actively looking for self-motivated Ph.D. and Master students at University of Macau. PhD students will be fully funded with fellowships. For more information, pls visit Join Us.
Research Statement
My work focuses on multi-view object re-identification, AIGC and data-centric AI, under a multi-camera scenario, e.g., swarm robotics, self-driving car, and smart city.
The child understands a 3D object, not from a still image, but from multiple modalities (images / videos / audio) capturing the target of interest from different viewpoints.
News
- PI, FDCT/0043/2025/RIA1, “Robust Long-Tail Anomaly Recognition via Multi-Modality Learning”, 2025–2028 (2.13M MOP)
- ICCV 2025: 3 papers — Video2BEV, Anomaly Retrieval, 3D Detection
- ICLR 2025: Conditional Generation
- ACM WWW 2025: Text-based Person Search
- ACM MM 2024 (Oral): Domain Adaptation
- ECCV 2024: 3 papers — Text-guided Geolocalization, Blind Image Decomposition, Unsupervised 3D Object Detection
- ACM MM 2025 Workshop: Aerial-view Imaging [Call for Papers]
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- ACM MM 2024 Workshops: Aerial-view Imaging, Multimodal Learning
- ICLR 2024: Compositional Retrieval [code]
- ACM ICMR 2024 Workshop: Multimedia Object Re-ID [Call for Papers]
- ACM MM 2023: Text-image Re-ID, Domain Adaptation
- CVPR 2023: 2 papers — Weather Removal, Video Moment Retrieval
- IJCV 2022: Adversarial Retrieval
- TNNLS 2022: 3D Human Re-ID
- TIP 2022: AdaBoost Adaptation, Drone Geolocalization
- CVPR 2022: NeRF
- ICME 2022: Special Session on Responsible Retrieval [Call for Papers]
- Ph.D. Thesis: Chancellor’s List
- Award: 2021 IEEE CAS Outstanding Young Author Award [link]
- IJCV 2021: Uncertainty [code]
- ACM MM 2020: Drone-view Dataset [PDF] [Dataset] [Video] [Slide]
Others
- Shanghai is my hometown, and it is a lovely place to have a sightseeing tour.
- I was a poster maker when I studied at Fudan University. You may check out my posters.
- I sometimes write Chinese blogs and share insights at Zhihu.
Do not press the red button!
