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Tie-Yan Liu

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Self-Consistency Training for Hamiltonian Prediction

Mar 14, 2024
He Zhang, Chang Liu, Zun Wang, Xinran Wei, Siyuan Liu, Nanning Zheng, Bin Shao, Tie-Yan Liu

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FABind: Fast and Accurate Protein-Ligand Binding

Oct 17, 2023
Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan

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Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance

Jul 06, 2023
Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu

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Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning

Jun 08, 2023
Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju, Jiaxi Wang, Jianwei Zhu, Yaosen Min, He Zhang, Shidi Tang, Hongxia Hao, Peiran Jin, Chi Chen, Frank Noé, Haiguang Liu, Tie-Yan Liu

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MolXPT: Wrapping Molecules with Text for Generative Pre-training

May 26, 2023
Zequn Liu, Wei Zhang, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Ming Zhang, Tie-Yan Liu

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NeuralStagger: accelerating physics-constrained neural PDE solver with spatial-temporal decomposition

Feb 20, 2023
Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu

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Monte Carlo Neural Operator for Learning PDEs via Probabilistic Representation

Feb 10, 2023
Rui Zhang, Qi Meng, Rongchan Zhu, Yue Wang, Wenlei Shi, Shihua Zhang, Zhi-Ming Ma, Tie-Yan Liu

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