Zedong WANG

zwangmw@connect.ust.hk
Zedong (Jacky) is a first-year PhD student in the Department of Computer Science and Engineering (CSE) at The Hong Kong University of Science and Technology (HKUST), advised by Prof. Dan Xu. Prior to this, he was a visiting student at Westlake University, advised by Chair Prof. Stan Z. Li (IEEE Fellow, IAPR Fellow). He received his bachelor’s degree in Electronic and Information Engineering from Huazhong University of Science and Technology, where he was fortunate to be advised by Prof. Xinggang Wang.
His research centers on (i) computer vision, such as MogaNet (ICLR’24) and MergeVQ (CVPR’25); (ii) multi-task learning, such as Rep-MTL (ICCV’25 Highlight), with specific focus on efficient multi-task perception models and optimization techniques.
He has been recognized with Outstanding/Notable Reviewer Awards at multiple top-tier conferences, including ICLR’25 (2.6%), ECCV’24 (2.7%), MM’24, and BMVC’24.
Please feel free to reach out for discussions. More about me: Pubs • Services • Misc
News
Jul 24, 2025 | One paper on multi-task learning, Rep-MTL, got accepted at ICCV 2025 as Highlight! |
---|---|
May 20, 2025 | I was recognized as a Notable Reviewer at ICLR 2025 (rate: 2.6%, 473/18323). |
May 16, 2025 | One paper on (M)LLM optimizers, SGG, got accepted at ACL 2025 (main). |
Apr 04, 2025 | One co-authored paper on visual generation, MergeVQ, got accepted at CVPR 2025. |
Dec 12, 2024 | One co-authored paper on low-level vision, PGHHNet, got accepted at AAAI 2025. |
Nov 04, 2024 | I was recognized as an Outstanding Reviewer at ACM MM 2024 (rate: 139/x). |
Nov 04, 2024 | I was recognized as an Outstanding Reviewer at BMVC 2024 (rate: 19.3%, 166/860). |
Sep 24, 2024 | I was recognized as an Outstanding Reviewer at ECCV 2024 (rate: 2.7%, 198/7293). |
Selected Publications
- ICCV25 HighlightRep-MTL: Unleashing the Power of Representation-level Task Saliency for Multi-Task LearningIEEE/CVF International Conference on Computer Vision (ICCV), 2025
- MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and QuantizationConference on Computer Vision and Pattern Recognition (CVPR), 2025
- Taming LLMs by Scaling Learning Rates with Gradient GroupingAnnual Meeting of the Association for Computational Linguistics (ACL), 2025