Yibing Song
宋奕兵
Artificial Intelligence Innovation and Incubation (AI³) InstituteFudan University
Email: yibingsong.cv at gmail dot com
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Yibing Song宋奕兵 Artificial Intelligence Innovation and Incubation (AI³) InstituteFudan University Email: yibingsong.cv at gmail dot com |
Yibing Song is a faculty member in Fudan University. Previously, he worked at Tencent AI Lab where he led visual understanding area. Yibing Song received PhD/Mphil degrees from City University of Hong Kong during which he visited Adobe Research and UC Merced, and received a bachelor degree from University of Science and Technology of China. Currently, Yibing Song researches around intelligent foundation models, from both model-centric and data-centric perspectives, with applications ranging from multi-modality understanding to generations in computer vision. He has been elected among Top 2% Scientists worldwide 2023 by Stanford University.
Area Chairs / Meta Reviewers: CVPR (2024,2023), ICCV 2023, NeurIPS (2023,2022), ICML (2024,2023), ICLR (2024,2023,2022).
Outstanding / Top Reviewers: CVPR (2020,2019,2018), ECCV 2022, NeurIPS 2019.
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Shoufa Chen, Peize Sun, Yibing Song, and Ping Luo, IEEE/CVF International Conference on Computer Vision (ICCV) 2023 (Best Paper Nominee) Paper / Project |
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Zhan Tong, Yibing Song, Jue Wang, and Limin Wang, Advances in Neural Information Processing Systems (NeurIPS) 2022 (Spotlight) Paper / Project / Hugging Face Repo Ranked 8th in most influential NIPS 2022 papers / Ranked 39th in most cited 2022 AI papers |
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Ronghao Dang, Jiangyan Feng, Haodong Zhang, Chongjian Ge, Lin Song, Lijun Gong, Chengju Liu, Qijun Chen, Feng Zhu, Rui Zhao, and Yibing Song, Arxiv Preprint 2023 Paper / Project |