Shao, Bin

18 publications

ICML 2025 Efficient and Scalable Density Functional Theory Hamiltonian Prediction Through Adaptive Sparsity Erpai Luo, Xinran Wei, Lin Huang, Yunyang Li, Han Yang, Zaishuo Xia, Zun Wang, Chang Liu, Bin Shao, Jia Zhang

ICLR 2025 Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems Yunyang Li, Zaishuo Xia, Lin Huang, Xinran Wei, Samuel Harshe, Han Yang, Erpai Luo, Zun Wang, Jia Zhang, Chang Liu, Bin Shao, Mark Gerstein

TMLR 2025 SE3Set: Harnessing Equivariant Hypergraph Neural Networks for Molecular Representation Learning Hongfei Wu, Lijun Wu, Guoqing Liu, Zhirong Liu, Bin Shao, Zun Wang

ICCV 2025 Turbo2K: Towards Ultra-Efficient and High-Quality 2k Video Synthesis Jingjing Ren, Wenbo Li, Zhongdao Wang, Haoze Sun, Bangzhen Liu, Haoyu Chen, Jiaqi Xu, Aoxue Li, Shifeng Zhang, Bin Shao, Yong Guo, Lei Zhu

ICLRW 2024 F$^3$low: Frame-to-Frame Coarse-Grained Molecular Dynamics with SE(3) Guided Flow Matching Shaoning Li, Yusong Wang, Mingyu Li, Bin Shao, Nanning Zheng, Zhang Jian, Jian Tang

NeurIPS 2024 Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models Zun Wang, Chang Liu, Nianlong Zou, He Zhang, Xinran Wei, Lin Huang, Lijun Wu, Bin Shao

ICLR 2024 Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation Yunyang Li, Yusong Wang, Lin Huang, Han Yang, Xinran Wei, Jia Zhang, Tong Wang, Zun Wang, Bin Shao, Tie-Yan Liu

ECCV 2024 MagicEraser: Erasing Any Objects via Semantics-Aware Control Fan Li, Zixiao Zhang, Yi Huang, Jianzhuang Liu, Renjing Pei, Bin Shao, Songcen Xu

NeurIPS 2024 Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs Yusong Wang, Chaoran Cheng, Shaoning Li, Yuxuan Ren, Bin Shao, Ge Liu, Pheng-Ann Heng, Nanning Zheng

ICML 2024 Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction He Zhang, Chang Liu, Zun Wang, Xinran Wei, Siyuan Liu, Nanning Zheng, Bin Shao, Tie-Yan Liu

NeurIPS 2024 UltraPixel: Advancing Ultra High-Resolution Image Synthesis to New Peaks Jingjing Ren, Wenbo Li, Haoyu Chen, Renjing Pei, Bin Shao, Yong Guo, Long Peng, Fenglong Song, Lei Zhu

CVPR 2023 CLIPPING: Distilling CLIP-Based Models with a Student Base for Video-Language Retrieval Renjing Pei, Jianzhuang Liu, Weimian Li, Bin Shao, Songcen Xu, Peng Dai, Juwei Lu, Youliang Yan

NeurIPS 2023 Efficiently Incorporating Quintuple Interactions into Geometric Deep Learning Force Fields Zun Wang, Guoqing Liu, Yichi Zhou, Tong Wang, Bin Shao

NeurIPS 2023 Geometric Transformer with Interatomic Positional Encoding Yusong Wang, Shaoning Li, Tong Wang, Bin Shao, Nanning Zheng, Tie-Yan Liu

ICCV 2023 HiVLP: Hierarchical Interactive Video-Language Pre-Training Bin Shao, Jianzhuang Liu, Renjing Pei, Songcen Xu, Peng Dai, Juwei Lu, Weimian Li, Youliang Yan

ICCV 2023 PIDRo: Parallel Isomeric Attention with Dynamic Routing for Text-Video Retrieval Peiyan Guan, Renjing Pei, Bin Shao, Jianzhuang Liu, Weimian Li, Jiaxi Gu, Hang Xu, Songcen Xu, Youliang Yan, Edmund Y. Lam

ICML 2022 SE(3) Equivariant Graph Neural Networks with Complete Local Frames Weitao Du, He Zhang, Yuanqi Du, Qi Meng, Wei Chen, Nanning Zheng, Bin Shao, Tie-Yan Liu

NeurIPS 2021 Co-Evolution Transformer for Protein Contact Prediction He Zhang, Fusong Ju, Jianwei Zhu, Liang He, Bin Shao, Nanning Zheng, Tie-Yan Liu