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TongWang 王通

Ph.D Student

Computer Vision Department, 1B Building
Mohamed bin Zayed University of Artificial Intelligence
Masdar City, Abu Dhabi
United Arab Emirates

TongWang Photo

🎈 Biography

I am currently a Ph.D student at the Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications of Ministry of Education, School of Computer Science and Engineering, Southeast University, advised by Prof. Guanyu Yang. I am also a visiting Ph.D student at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), working with Prof. Fahad Shahbaz Khan and Dr. Nian Liu.

Research Interests:


👨‍💻 Experiences

Mohamed bin Zayed University of Artificial Intelligence

Visiting Student | 2024 – Present

Mentor: Prof. Fahad Shahbaz Khan and Dr. Nian Liu

Research focus: Computer Vision, Multimodal Models

Southeast University

Ph.D Student | 2022 – Present

PhD Advisor: Prof. Guanyu Yang

Research focus: Computer Vision, Medical Image Analysis


📝 Publications

Preprint Papers

Composed Object Retrieval: Object-level Retrieval via Composed Expressions
Tong Wang, Guanyu Yang, Nian Liu, Zongyan Han, Jinxing Zhou, Salman Khan, Fahad Shahbaz Khan.
arXiv preprint arXiv:2508.04424
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning
Zongyan Han, Jiale Cao, Shuo Chen, Tong Wang, Jorma Laaksonen, Rao Muhammad Anwer.
arXiv preprint arXiv:2505.16974
Think Before You Segment: An Object-aware Reasoning Agent for Referring Audio-Visual Segmentation
Jinxing Zhou, Yanghao Zhou, Mingfei Han, Tong Wang, Xiaojun Chang, Hisham Cholakkal, Rao Muhammad Anwer.
arXiv preprint arXiv:2508.04418

Conference Papers

Energy-induced Explicit quantification for Multi-modality MRI fusion.
Xiaoming Qi, Yuan Zhang, Tong Wang, Guanyu Yang, Yueming Jin, Shuo Li.
European Conference on Computer Vision

Journal Papers

Polyp segmentation via semantic enhanced perceptual network.
Tong Wang, Xiaoming Qi, Guanyu Yang.
IEEE Transactions on Circuits and Systems for Video Technology
Neighborhood contrastive representation learning for attributed graph clustering.
Tong Wang, Junhua Wu, Yaolei Qi, Xiaoming Qi, Juwei Guan, Yuan Zhang, Guanyu Yang.
Neurocomputing
Multi-scale graph attention subspace clustering network.
Tong Wang, Junhua Wu, Zhenquan Zhang, Wen Zhou, Guang Chen, Shasha Liu.
Neurocomputing

🏅 Awards and Honors


👻 Services

Journal Reviewer

Conference Reviewer