I am currently a Ph.D. student at the School of Mathematics and Statistics, University of Melbourne, supervised by Prof. Mingming Gong (宫明明). Meanwhile, I work as an AI Research Intern at HeyGen , Singapore, mentored by Mr. Yi Ren (任意) and Mr. Zhibin Hong (洪智滨).

I received my M.Phil. degree from The Chinese University of Hong Kong, Shenzhen (CUHK-SZ) in 2023, supervised by Prof. Xiaoguang Han (韩晓光), and my B.Eng. degree from Tsinghua University in 2021, supervised by Prof. Yipeng Li (李一鹏).

My research interests include generative models, visual language models and multimodal language models. I have published 10+ papers at top international AI conferences such as CVPR, ECCV, and ICLR, with total .

If you are seeking any form of academic cooperation, please feel free to email me at antonio.chan.cc@outlook.com.

• Personal Pages: https://chence17.github.io (updated recently 🔥)
• Google Scholar: https://scholar.google.com/citations?user=tX8IWwMAAAAJ
• DBLP: https://dblp.org/pid/02/9980
• ORCID: https://orcid.org/0009-0001-8267-8346
• LinkedIn: https://www.linkedin.com/in/ce-chen-313709271
• GitHub: https://github.com/chence17
• Semantic Scholar: https://www.semanticscholar.org/author/Ce-Chen/2109475444
• OpenReview: https://openreview.net/profile?id=~Ce_Chen1

• 2026.06:  🎉 One paper is accepted by ECCV 2026
• 2026.02:  🎉 One paper is accepted by CVPR 2026
• 2026.01:  🎉 One paper is accepted by ICLR 2026
• 2025.06:  🎉 I join HeyGen as an AI research intern in Singapore!
• 2024.07:  🎉 One paper is accepted by ECCV 2024

My full paper list is shown at my personal homepage.

• ECCV 2026 TransVLM: A Vision-Language Framework and Benchmark for Detecting Any Shot Transitions, Ce Chen, Yi Ren, Yuanming Li, Viktor Goriachko, Zhenhui Ye, Zujin Guo, Zhibin Hong, Mingming Gong
• arXiv 2026 TAVR: Generate Your Talking Avatar from Video Reference, Zujin Guo, Zhenhui Ye, Yi Ren, Yuanming Li, Ce Chen, Zhibin Hong, Chen Change Loy
• arXiv 2026 Avatar V: Scaling Video-Reference Avatar Video Generation, Benjamin Liang, Ce Chen, Desmond Lin, et al.

• CVPR 2026 Mobile-VTON: High-Fidelity On-Device Virtual Try-On, Zhenchen Wan*, Ce Chen*, Runqi Lin, Jiaxin Huang, Tianxi Chen, Yanwu Xu, Tongliang Liu, Mingming Gong | Project |

• ICLR 2026 Condition Matters in Full-Head 3D GANs, Heyuan Li, Huimin Zhang, Yuda Qiu, Zhengwentai Sun, Keru Zheng, Lingteng Qiu, Peihao Li, Qi Zuo, Ce Chen, Yujian Zheng, Yuming Gu, Zilong Dong, Xiaoguang Han
• ECCV 2024 (Oral) SphereHead: Stable 3D Full-head Synthesis with Spherical Tri-plane Representation, Heyuan Li, Ce Chen, Tianhao Shi, Yuda Qiu, Sizhe An, Guanying Chen, Xiaoguang Han
• CVPR 2023 SCoDA: Domain Adaptive Shape Completion for Real Scans, Yushuang Wu, Zizheng Yan, Ce Chen, Lai Wei, Xiao Li, Guanbin Li, Yihao Li, Shuguang Cui, Xiaoguang Han

• CVPR 2020 Structure-Preserving Super Resolution with Gradient Guidance, Cheng Ma, Yongming Rao, Yean Cheng, Ce Chen, Jiwen Lu, Jie Zhou |

• arXiv 2023 DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation, Zhaoxin Fan, Puquan Pan, Zeren Zhang, Ce Chen, Tianyang Wang, Siyang Zheng, Min Xu

• 🔭 I'm currently working on generative models, visual language models, multimodal language models, 3D/4D generation, and human video generation.
• 🎓 Ph.D. @ University of Melbourne (2026–Now) | M.Phil. @ CUHK-SZ (2021–2023) | B.Eng. @ Tsinghua University (2017–2021)
• 💼 AI Research Intern @ HeyGen, Singapore (2025–Now)
• 📋 Conference Reviewer: NeurIPS 2026, ECCV 2026, CVPR 2026, ICLR 2026, NeurIPS 2025
• 📋 Journal Reviewer: IEEE TMM, IEEE SPL, IEEE TIP

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Language / IDE
Domain Knowledge
DL Frameworks
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OS