Sibei Yang
Sibei Yang is an Associate Professor at the HCP Lab, School of Computer Science and Engineering, Sun Yat-sen University. Prior to this, she was a Tenure-track Assistant Professor at ShanghaiTech University from 2021 and a Research Assistant Professor at The Hong Kong Polytechnic University since 2020. She received her Ph.D. from the University of Hong Kong in 2020, under the supervision of Prof. Yizhou Yu, with support from the Hong Kong PhD Fellowship. Dr. Yang obtained her B.S. in Computer Science from the Chu Kochen Honors College at Zhejiang University in 2016.
She has published over 60 papers in leading venues such as TPAMI, CVPR, ICCV, ECCV, NeurIPS, ICLR, and SIGGRAPH. As the first or corresponding author, Sibei Yang has contributed to more than 30 papers in top-tier (CCF-A) journals and conferences.
Research Interests
Our current research interests primarily focus on 1) Multimodal Large Language Models (LLM/MLLM), 2) Vision-Language Understanding and Generation, 3) Embodied AI, and 4) Open-world Visual Understanding. Our mission is to facilitate the learning of unified and universal perception, understanding, reasoning, generation, and interaction within the realm of an open world. We envision that harnessing multimodal information—particularly vision and language—in a unified and generalizable manner, and enabling its deployment in real-world physical interactions, is fundamental to advancing our understanding of the world and fostering the emergence of artificial intelligence.
我们正在招2026秋季入学的硕士生和博士生,欢迎感兴趣的同学附上简历联系我sibeiyang9@gmail.com。如果想从学生视角了解我们可以联系组内师兄石骋maxshicheng@gmail.com或师姐郑舸zhengge2023@shanghaitech.edu.cn
News
Jun 26, 2025 | 7 papers are accepted by ICCV 2025 👏👏👏 |
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May 20, 2025 | 2 papers are accepted by ACL 2025 🎉🎉 |
Feb 27, 2025 | 6 papers are accepted by CVPR 2025 🥳🥳🥳 |
Jan 22, 2025 | 3 papers are accepted by ICLR 2025 🎊🎊🎊 |
Dec 3, 2024 | Sibei Yang will serve as Area Chair for ICCV 2025 |
Oct 1, 2024 | Congratulations to Cheng Shi for once again receiving the National Scholarship, and to Ge Zheng for achieving the National Scholarship as well! 🎉🎉🎉 |
Aug 13, 2024 | One Paper is accepted by TPAMI 2024 👏👏👏 |
Jul 5, 2024 | Three papers are accepted by ECCV 2024 🎉🎉🎉 |
Feb 27, 2024 | Two papers are accepted by CVPR 2024 🎊🎊🎊 |
Jan 15, 2024 | One paper is accepted by ICLR 2024 🐲🐲🐲 |
Dec 30, 2023 | Congratulations to Cheng Shi for receiving the National Scholarship, and to Jiajin Tang for achieving the Outstanding Student Award.👏👏👏 |
Sep 23, 2023 | 2 papers Free-Bloom (Zero-Shot Text-to-Video Generation) and DDCoT (CoT Prompting for Multimodal Reasoning in LMs) are accepted by NeurIPS 2023 🎉🎉🎉 |
Jul 14, 2023 | 5 papers are accepted by ICCV 2023 🎉 |
Jun 1, 2023 | Congratulate to Ge Zheng for winning the Undergraduate Excellent Graduation Thesis! |
May 27, 2023 | Sibei Yang will serve as Area Chair for WACV2024. |
May 13, 2023 | Our website is released! Thanks to Yufan, Hanzhuo and Yuchen :) |
Recent Publication
* equal contribution; † corresponding author.
2025
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Sim-DETR: Unlock DETR for Temporal Sentence GroundingAccepted by ICCV, 2025
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No More Sibling Rivalry: Debiasing Human-Object Interaction DetectionAccepted by ICCV, 2025
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Closed-Loop Transfer for Weakly-supervised Affordance GroundingAccepted by ICCV, 2025
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Augmenting Moment Retrieval: Zero-Dependency Two-Stage LearningAccepted by ICCV, 2025
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ICCV2025Penalizing Boundary Activation for Object Completeness in Diffusion ModelsAccepted by ICCV, 2025
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ICCV2025VLDrive: Vision-Augmented Lightweight MLLMs for Efficient Language-grounded Autonomous DrivingAccepted by ICCV, 2025
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Free on the Fly: Enhancing Flexibility in Test-Time Adaptation with Online EMAccepted by CVPR, 2025
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Adaptive Part Learning for Fine-Grained Generalized Category Discovery: A Plug-and-Play EnhancementAccepted by CVPR, 2025
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2024
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TPAMI2024A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-oriented PerspectiveAccepted by TPAMI, 2024
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CVPR2024Curriculum Point Prompting for Weakly-Supervised Referring Image SegmentationAccepted by CVPR, 2024
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2023
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ICCV2023
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TPAMI2023A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image AnalysisAccepted by TPAMI, 2023