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I'm now a first-year PhD at The Chinese University of Hongkong (CUHK) supervised by Prof. Pheng Ann Heng. Before that, I spent one year at Mila - Québec AI Institute supervised by Prof. Jian Tang. I received my B.S. from Beihang University advised by Prof. Hao Peng. I served as a research intern at Microsoft Research AI4Science supervised by Dr. Bin Shao from Feb 2022 to Jun 2023, and I worked in BioGeometry targetting on de novo antibody design from Jun 2023 to Jun 2024. Email: shaoningli5190 [at] gmail [dot] com CV / Github / Google Scholar |
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I'm interested in AI4Science, typically in protein structure prediction (AF2/3), de novo protein design, molecular dynamics, machine learning force fields, protein ligand docking, etc. Representative papers are highlighted. If you are interested in these topics, please feel free to contact me. |
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[Sep. 2024] New!! One paper was accepted at Nature. [Sep. 2024] New!! One paper was accepted at NeurIPS 2024. [Jun. 2024] One paper was accepted at ICML 2024 AI4Science workshop. [Jun. 2024] One paper was accepted at Nature Communications. [Mar. 2024] One paper was accepted at ICLR 2024 GEM workshop. |
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Tong Wang, Xinheng He, Mingyu Li, Yatao Li, Ran Bi, Yusong Wang, Chaoran Cheng, Xiangzhen Shen, Jiawei Meng, He Zhang, Haiguang Liu, Zun Wang, Shaoning Li, Bin Shao, Tie-Yan Liu Nature 2024 Molecular dynamics; Machine learning force fields [Paper] [Code] [Blog] |
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Yusong Wang*, Chaoran Cheng*, Shaoning Li*, Yuxuan Ren, Bin Shao, Ge Liu, Pheng-Ann Heng, Nanning Zheng, 38th Conference on Neural Information Processing Systems (NeurIPS 2024) Molecular Representation Learning; Long-range Interaction Modeling; Geometric GNNs [Paper] |
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Shaoning Li*, Mingyu Li*, Yusong Wang, Xinheng He, Nanning Zheng, Jian Zhang, Pheng-Ann Heng 41st International Conference on Machine Learning (ICML 2024 AI4Science workshop) Protein ensembles generation; Flow matching; AlphaFold [Paper] |
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Xinheng He, Lifen Zhao, Yinping Tian, Rui Li, Qinyu Chu, Zhiyong Gu, Mingyue Zheng, Yusong Wang, Shaoning Li, Hualiang Jiang, Yi Jiang, Liuqing Wen, Dingyan Wang, Xi Cheng Nature Communications (NC 2024) Binding sites predictoin; Carbohydrates [Paper] |
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Shaoning Li*, Yusong Wang*, Mingyu Li*, Jian Zhang, Bin Shao, Nanning Zheng, Jian Tang 12th International Conference on Learning Representations (ICLR 2024 GEM workshop) Coarse-grained protein dynamics; SE(3) Flow matching [Paper] |
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Yusong Wang*, Shaoning Li*, Xinheng He, Mingyu Li, Zun Wang, Nanning Zheng, Bin Shao, Tie-Yan Liu Nature Communications (NC 2024) Molecular dynamics; Machine learning force fields; Equivariant graph neural networks Editor's Highlights in AI and Bio [Paper] [Code] [Blog] |
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Yusong Wang*, Shaoning Li*, Bin Shao, Nanning Zheng, Tie-Yan Liu 37th Conference on Neural Information Processing Systems (NeurIPS 2023) Molecule representation learning; Transformers; Positional encoding [Paper] |
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Hao Peng, Ruitong Zhang, Shaoning Li, Yuwei Cao, Shirui Pan, Philip Yu IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI 2022) Social event detection; Graph data mining; Reinforcement learning Highly Cited Paper [Paper] |
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[Aug. 2023] 1st Prize First Global AI Drug Development Competition [Nov. 2022] 2nd Place OGB-LSC Graph Regression Track @ NeurIPS 2022 [Nov. 2022] 3rd Place Open Catalyst Project @ NeurIPS 2022 [Apr. 2021] 1st Prize National Award on CCF Excellent Chinese University Students |
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I have close collaboration with Dr. Yusong Wang, Dr. Mingyu Li, Dr. Xinheng He, Dr. Chaoran Cheng, and Dr. Le Zhuo. |
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Updated at Sep. 2024
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