I am an incoming Ph.D. student at Department of Computer Science and Engineering (CSE), The Chinese University of Hong Kong (CUHK) , supervised by Prof. Pheng-Ann Heng. Currently, I am a research-oriented M.Sc. student at University of Chinese Academy of Sciences (UCAS) , doing my research at Shenzhen Institute of Advanced Technology (SIAT) , Chinese Academy of Sciences (CAS).

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 interesting problems in Generative AI, Multi-Modality, and Learning from Imperfect Data, aiming to promote the efficiency and flexibility of AI model and algorithms in the real world.

📢📢📢 If you would like to discuss potential opportunities for collaboration, please feel free to contact me. 😊

🔥 News

  • 2024.06   One paper is accepted by 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 and will spend my last undergraduate time here! 🔬
  • 2020.09   I am awarded a China Undergraduate National Scholarship! 🏆

📝 Publications

CVPR 2023 (Highlight)
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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

[Project] [Paper] [Code] [Poster] [Talk]

Selected as a Highlight presentation paper (Top 2.6% of 9155 submissions)


ECCV 2022
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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

[Paper] [Code] [Poster] [Slides]


TIFS 2024
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IFAST: Weakly Supervised Interpretable Face Anti-spoofing from Single-shot Binocular NIR Images

Jiancheng Huang*, Donghao Zhou*, Shifeng Chen (* indicates equal contribution)

IEEE Transactions on Information Forensics and Security (TIFS) 2024 (CCF-A, Conditionally Accepted)

[Project] [Paper] [Dataset]


WACV 2024
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DPPMask: Masked Image Modeling with Determinantal Point Processes

Junde Xu, Zikai Lin, Donghao Zhou, Yaodong Yang, Xiangyun Liao, Bian Wu, Guangyong Chen, Pheng-Ann Heng

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024

[Paper]


arXiv
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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

arXiv Preprint (Under Review)

[Paper]


arXiv
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TripletMix: Triplet Data Augmentation for 3D Understanding

Jiaze Wang, Yi Wang, Ziyu Guo, Renrui Zhang, Donghao Zhou, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng

arXiv Preprint (Under Review)

[Project] [Paper]


arXiv
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SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning

Hao Chen, Jiaze Wang, Ziyu Guo, Jinpeng Li, Donghao Zhou, Bian Wu, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng

arXiv Preprint (Under Review)

[Project] [Paper]

👨‍💻 Experience

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Tencent YouTu Lab, Shenzhen, China

Research Intern @ FuXi Research Center

2023.04 - 2023.09


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Zhejiang Lab, Hangzhou, China

Research Intern @ Research Institute of Intelligent Computing

2022.07 - 2023.01


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SIAT, CAS, Shenzhen, China

Research Assistant @ CV2R-Lab

2021.03 - 2021.08

🏅 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 - 2023   UCAS Postgraduate Studentship (Full Tuition Waiver & 8,000 CNY p.a.)
  • 2021.06   Outstanding Graduate (Top 2.5%)
  • 2021.06   Excellent Graduation Thesis & Graduation Thesis Innovation Prize
  • 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)
  • 2019.05Asia-Pacific Robot Contest (ROBOCON), China Regional Competition, Second Prize (Leading a team of 30+ undergradutes)

📅 Academic Services

📖 Reviewers

  • Scientific Reports
  • Annual Conference on Neural Information Processing Systems (NeurIPS) 2024
  • British Machine Vision Conference (BMVC) 2024
  • Asian Conference on Computer Vision (ACCV) 2024
  • European Conference on Computer Vision (ECCV) 2024
  • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024
  • International Conference on Computer Vision (ICCV) 2023

💬 Invited Talks

  • 2023.06   Subcellular Structure Prediction: Revealing Fluorescent Images with Deep Learning, Topic Talk, held by TechBeat | [News] [Video]
  • 2023.03   Subcellular Structure Prediction from Multiple Partially Labeled Datasets, Internal Youth Forum, held by Zhejiang Lab | [Poster]
  • 2022.12   Single Positive Multi-Label Learning, Youth Ph.D. Talk, held by ITIC and AI TIME | [News]
  • 2022.12   Learning a Multi-Label Classifier from a Single-Label Dataset, Internal Youth Forum, held by Zhejiang Lab | [Poster]