Chang-Bin Zhang张长彬Ph.D. Candidate
The University of Hong Kong |
![]() |
I'm currently a final-year Ph.D. candidate working with Dr. Yujie Zhong and Prof. Kai Han at The University of Hong Kong (HKU) . Before that, I spent wonderful years at Nankai University (NKU), supervised by Prof. Ming-Ming Cheng and received my M.Eng degree in Computer Science.
I am currently working on research related to RL / Agentic RL, Agent Systems, and on-policy distillation. I am also looking for full-time foundation model positions starting in early 2027. If you are interested in my research, please feel free to reach out to me by email.
我正从事 RL / Agentic RL、Agent Systems、on-policy distillation 等相关研究,同时也正在寻找 2027 early 的基础模型全职工作岗位。如果你对我的研究工作感兴趣,欢迎邮件联系我。
iVGR: Internalizing Visually Grounded Reasoning for MLLMs with Reinforcement Learning
Chang-Bin Zhang, Yujie Zhong, Qiang Zhang and Kai Han
ICML, 2026
[project page]
Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts
Chang-Bin Zhang, Yujie Zhong and Kai Han
Under Review, 2025
[arXiv]
[code]
[project page]
[HuggingFace Demo]
A powerful, SOTA object detection model, an enhanced version of Mr. DETR
Support object detection, instance segmentation and panoptic segmentation
Mr. DETR: Instructive Multi-Route Training for Detection Transformers
Chang-Bin Zhang, Yujie Zhong and Kai Han
CVPR, 2025
[arXiv]
[code]
[project page]
[HuggingFace Demo]
[04/25] Rank #1 in the Leaderboard of COCO 2017 val
v-CLR: View-Consistent Learning for Open-World Instance Segmentation
Chang-Bin Zhang, Jinhong Ni, Yujie Zhong and Kai Han
CVPR, 2025, Highlight
[arXiv]
[code]
[project page]
[HuggingFace Demo]
Delving Deep into Label Smoothing
Chang-Bin Zhang*, Peng-Tao Jiang*, Qibin Hou, Yunchao Wei, Qi Han, Zhen Li and Ming-Ming Cheng
IEEE Transactions on Image Processing (IEEE TIP), 2021
[IEEE Explore]
[arXiv]
[中译版]
[code]
LayerCAM: Exploring Hierarchical Class Activation Maps For Localization
Peng-Tao Jiang*, Chang-Bin Zhang*, Qibin Hou, Ming-Ming Cheng and Yunchao Wei
IEEE Transactions on Image Processing (IEEE TIP), 2021
[IEEE Explore]
[中译版]
[code]
[ESI Highly Cited Paper (1%)]
The FIRST tool to extract class activation maps from ANY layer in networks
Deep Hough Transform for Semantic Line Detection
Kai Zhao*, Qi Han*, Chang-Bin Zhang, Jun Xu, and Ming-Ming Cheng
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2021
[IEEE Explore]
[arXiv]
[中译版]
[code]
[ESI Highly Cited Paper (1%)]
SAIC Motor Autonomous, Engineer, 2022.07~2023.01, Shanghai, working closely with Dr. Peixuan Li
NIO Autonomous, Internship, 2022.01~2022.04, Beijing
DJI Autonomous, Internship, 2021.06~2021.08, Shenzhen