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Zhangyang Gao

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Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge

Feb 21, 2024
Yufei Huang, Odin Zhang, Lirong Wu, Cheng Tan, Haitao Lin, Zhangyang Gao, Siyuan Li, Stan. Z. Li

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PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction

Feb 13, 2024
Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li

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A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer

Feb 04, 2024
Zhangyang Gao, Daize Dong, Cheng Tan, Jun Xia, Bozhen Hu, Stan Z. Li

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DCS-Net: Pioneering Leakage-Free Point Cloud Pretraining Framework with Global Insights

Feb 03, 2024
Zhe Li, Zhangyang Gao, Cheng Tan, Stan Z. Li, Laurence T. Yang

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MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning

Feb 03, 2024
Zhe Li, Laurence T. Yang, Bocheng Ren, Xin Nie, Zhangyang Gao, Cheng Tan, Stan Z. Li

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MMDesign: Multi-Modality Transfer Learning for Generative Protein Design

Dec 11, 2023
Jiangbin Zheng, Siyuan Li, Yufei Huang, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jun Xia, Ge Wang, Stan Z. Li

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Efficiently Predicting Protein Stability Changes Upon Single-point Mutation with Large Language Models

Dec 07, 2023
Yijie Zhang, Zhangyang Gao, Cheng Tan, Stan Z. Li

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Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training

Nov 23, 2023
Cheng Tan, Jingxuan Wei, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Xihong Yang, Stan Z. Li

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General Point Model with Autoencoding and Autoregressive

Oct 25, 2023
Zhe Li, Zhangyang Gao, Cheng Tan, Stan Z. Li, Laurence T. Yang

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Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction

Oct 19, 2023
Yufei Huang, Siyuan Li, Jin Su, Lirong Wu, Odin Zhang, Haitao Lin, Jingqi Qi, Zihan Liu, Zhangyang Gao, Yuyang Liu, Jiangbin Zheng, Stan. ZQ. Li

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