I am a first-year Ph.D. student at Department of Computer Science and Engineering (CSE), The Chinese University of Hong Kong (CUHK) 
, supervised by Prof. Pheng-Ann Heng.
I have spent wonderful time at Tencent YouTu Lab, Zhejiang Lab, and SIAT, CAS as a research intern/assistant. Also, it is my great honor to be awarded a China Postgraduate National Scholarship and a China Undergraduate National Scholarship during my academic career.
My research interest mainly includes Deep Learning and Computer Vision. Recently, I focus on exploring Generative AI, Multi-Modal Learning, and Learning from Imperfect Data, aiming to promote the efficiency and flexibility of AI models and algorithms in the real world.
📢📢📢 If you would like to discuss potential opportunities for collaboration, please feel free to contact me. 😊
🔥 News
- 2024.10 One paper is accepted by WACV 2025! 🎉
- 2024.07 Two papers are accepted by BMVC 2024! 🎉
- 2024.06 One paper is accepted by IEEE TIFS 2024 (a CCF-A journal)! 🎉
- 2024.05 I am selected as an outstanding graduate of Beijing! 👨🎓
- 2023.10 One paper is accepted by WACV 2024! 🎉
- 2023.10 I am awarded a China Postgraduate National Scholarship! 🏆
- 2023.04 I join Tencent YouTu Lab as a research intern! 🔬
- 2023.03 Our paper is selected as a CVPR Highlight (Top 2.6% of 9155 submissions)! 🎉
- 2023.02 One first-author paper is accepted by CVPR 2023! 🎉
- 2022.07 I join Zhejiang Lab as a research intern! 🔬
- 2022.07 One first-author paper is accepted by ECCV 2022! 🎉
- 2021.03 I join SIAT, CAS as a research assistant! 🔬
- 2020.09 I am awarded a China Undergraduate National Scholarship! 🏆
📝 Selected Publications
🔥 MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models 🔥
Donghao Zhou, Jiancheng Huang, Jinbin Bai, Jiaze Wang, Hao Chen, Guangyong Chen,
Xiaowei Hu, Pheng-Ann Heng
arXiv Preprint (Under Review)
IFAST: Weakly Supervised Interpretable Face Anti-spoofing from Single-shot Binocular NIR Images
Jiancheng Huang*, Donghao Zhou*, Jianzhuang Liu, Linxiao Shi, Shifeng Chen
(* indicates equal contribution)
IEEE Transactions on Information Forensics and Security (TIFS) 2024 (CCF-A Journal)
DISCO: Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes
Donghao Zhou, Jialin Li, Jinpeng Li, Jiancheng Huang, Qiang Nie, Yong Liu, Bin-Bin Gao,
Qiong Wang, Pheng-Ann Heng, Guangyong Chen
British Machine Vision Conference (BMVC) 2024
RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structure Prediction
Donghao Zhou, Chunbin Gu, Junde Xu, Furui Liu, Qiong Wang, Guangyong Chen, Pheng-Ann Heng
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023
[Page] [Paper] [Code] [Poster] [Talk]
Selected as a Highlight presentation paper (Top 2.6% of 9155 submissions)
Acknowledging the Unknown for Multi-Label Learning with Single Positive Labels
Donghao Zhou, Pengfei Chen, Qiong Wang, Guangyong Chen, Pheng-Ann Heng
European Conference on Computer Vision (ECCV) 2022
👨💻 Experience
Zhejiang Lab, Hangzhou, China
Research Intern @ Research Institute of Intelligent Computing
2022.07 - 2023.01
🏅 Selected Awards
- 2024.05 Outstanding Graduate of Beijing
- 2024.05 Outstanding Graduate of UCAS
- 2024.02 SIAT President’s Special Scholarship
- 2024.01 IAIT Dean’s Innovation Award: Outstanding Postgraduate Award
- 2023.10 China Postgraduate National Scholarship (Top 1.7%)
- 2021.06 Outstanding Graduate (Top 2.5%)
- 2021.04 Top 10 Student Innovation Figure (Bonus: 10,000 CNY)
- 2020.09 China Undergraduate National Scholarship (Top 0.3%)
- 2018 - 2020 First-Class Excellent Student Scholarships (Three Times)
- 2019.05 Asia-Pacific Robot Contest (ROBOCON), China Regional Competition, Second Prize (Leading a team of 30+ undergradutes)
📅 Academic Services
📖 Reviewers/PC Members
- Conference: AISTATS 2025, WACV 2025, AAAI 2025, NeurIPS 2024, BMVC 2024, ACCV 2024, ECCV 2024, CVPR 2024, ICCV 2023
- Journal: Scientific Reports