Biography
Haoyu Zhao is a fourth-year Ph.D. student at the College of Computer Science and Artificial Intelligence, Fudan University (QS 30), under the supervision of Prof. Zuxuan Wu and Prof. Yu-Gang Jiang.
His research focuses on computer vision and deep learning, particularly video understanding and generation, encompassing areas such as Vision-Language Model, Diffusion Model, Content-controllable Video Synthesis, and World Model.
He has published his work in top-tier venues, including CVPR, ECCV, AAAI, ICLR, TMM, and FCS.
📝 Selected Publications
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Haoyu Zhao, Yuang Zhang, et al. DCDM: Divide-and-conquer diffusion models for consistency-preserving video generation. 🏆 AAAI’26 CVM Challenging Top Team, 2026.
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Qingping Zheng, Bo Huang, Yang Liu, Haoyu Zhao, et al. ReFocusEraser: Refocusing for small object removal with robust context-shadow repair. ICLR, 2026.
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Haoyu Zhao, Jiaxi Gu, et al. LSTD: Long short-term temporal diffusion for video generation. TMM, 2025.
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Zihao Zhang, Haoran Chen, Haoyu Zhao, et al. Eden: Enhanced diffusion for high-quality large-motion video frame interpolation. CVPR, 2025.
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Cong Wang, Panwen Hu, Haoyu Zhao, et al. Uniadapter: All-in-one control for flexible video generation. TCSVT, 2025.
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Haoyu Zhao, Tianyi Lu, et al. MagDiff: Multi-alignment diffusion for high-fidelity video generation and editing. ECCV, 2024.
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Haoyu Zhao, Weidong Min, et al. Scene-adaptive crowd counting method based on meta learning with dual-input network DMNet. Frontiers of Computer Science (FCS), 2023.
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Haoyu Zhao, Weidong Min, et al. Memory-efficient document layout analysis method using LD-net. Multimedia Tools and Applications (MTAP), 2023.
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Qi Wang, Yuling Zhong, Weidong Min, Haoyu Zhao, et al. Dual similarity pre-training and domain difference encouragement learning for vehicle re-identification in the wild. PR, 2023.
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Haoyu Zhao, Qi Wang, et al. Need Only One More Point (NOOMP): Perspective adaptation crowd counting in complex scenes. TMM, 2022.
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Zitai Wei, Weidong Min, Qi Wang, Qian Liu, Haoyu Zhao. ECNFP: Edge-constrained network using a feature pyramid for image inpainting. Expert Systems with Applications (ESWA), 2022.
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Haoyu Zhao, Weidong Min, et al. SPACE: Finding key-speaker in complex multi-person scenes. IEEE Transactions on Emerging Topics in Computing (TETC), 2021.
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Haoyu Zhao, Weidong Min, et al. MSR-FAN: Multi-scale residual feature-aware network for crowd counting. IET IP, 2021.
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Haoyu Zhao, Weidong Min, et al. Illumination-enhanced crowd counting based on IC-Net in low lighting conditions. ICIG, 2021.
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Qi Wang, Weidong Min, Qing Han, Qian Liu, Cheng Zha, Haoyu Zhao, et al. Inter-domain adaptation label for data augmentation in vehicle re-identification. TMM, 2021.
🎖 Honors and Awards
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AAAI’26 CVM Top Team (Role: PI), 2026
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Outstanding Student Award, Fudan University, 2024
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Academic Scholarship (First Class), Fudan University, awarded multiple times, 2022-2026
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National Scholarship, Ministry of Education, China (Top 1%), 2022
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Outstanding Graduate, Nanchang University, China, 2022
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Academic Scholarship (First Class), Nanchang University, awarded multiple times, 2019-22
📖 Educations
- 2022.09 - Present, Ph.D in College of Computer Science and Artificial Intelligence, Fudan University. Supervisor: Prof. Yu-Gang Jiang and Prof. Zuxuan Wu.
- 2019.09 - 2022.06, M.S. in School of Mathematics and Computer Sciences, Nanchang University. Supervisor: Prof. Weidong Min.
- 2015.09 - 2019.06, B.S. in School of Information Engineering, Nanchang University.
💼 Work Experience
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2025.05 - Present, Research Intern (Qingyun Project), Advertising Marketing Services (AMS), Tencent
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2023.03 - 2025.03, Research Intern, Huawei Noah’s Ark Lab, Shanghai
📋 Academic Services
Reviewer for IJCV, TIP, TMM, KBS, TCSVT, NeurIPS, ICLR, ICML, AAAI, ACM MM, etc.
Updated on Mar 10, 2026.