Li, Chengtao

17 publications

NeurIPSW 2023 DynamicBind: Predicting Ligand-Specific Protein-Ligand Complex Structure with a Deep Equivariant Generative Model Wei Lu, Jixian Zhang, Huang Weifeng, Ziqiao Zhang, Chengtao Li, Shuangjia Zheng
NeurIPS 2022 TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction Wei Lu, Qifeng Wu, Jixian Zhang, Jiahua Rao, Chengtao Li, Shuangjia Zheng
ICLR 2021 Molecule Optimization by Explainable Evolution Binghong Chen, Tianzhe Wang, Chengtao Li, Hanjun Dai, Le Song
NeurIPS 2020 Group Contextual Encoding for 3D Point Clouds Xu Liu, Chengtao Li, Jian Wang, Jingbo Wang, Boxin Shi, Xiaodong He
ICML 2020 Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search Binghong Chen, Chengtao Li, Hanjun Dai, Le Song
NeurIPS 2019 Retrosynthesis Prediction with Conditional Graph Logic Network Hanjun Dai, Chengtao Li, Connor Coley, Bo Dai, Le Song
ECCV 2018 Improving Sequential Determinantal Point Processes for Supervised Video Summarization Aidean Sharghi, Ali Borji, Chengtao Li, Tianbao Yang, Boqing Gong
ICML 2018 Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu, Chengtao Li, Yonglong Tian, Tomohiro Sonobe, Ken-ichi Kawarabayashi, Stefanie Jegelka
ICML 2017 Batched High-Dimensional Bayesian Optimization via Structural Kernel Learning Zi Wang, Chengtao Li, Stefanie Jegelka, Pushmeet Kohli
ICLR 2017 Neural Program Lattices Chengtao Li, Daniel Tarlow, Alexander L. Gaunt, Marc Brockschmidt, Nate Kushman
NeurIPS 2017 Polynomial Time Algorithms for Dual Volume Sampling Chengtao Li, Stefanie Jegelka, Suvrit Sra
AISTATS 2016 Efficient Sampling for K-Determinantal Point Processes Chengtao Li, Stefanie Jegelka, Suvrit Sra
ICML 2016 Fast DPP Sampling for Nystrom with Application to Kernel Methods Chengtao Li, Stefanie Jegelka, Suvrit Sra
NeurIPS 2016 Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling Chengtao Li, Suvrit Sra, Stefanie Jegelka
ICML 2016 Gaussian Quadrature for Matrix Inverse Forms with Applications Chengtao Li, Suvrit Sra, Stefanie Jegelka
ICML 2014 Bayesian Max-Margin Multi-Task Learning with Data Augmentation Chengtao Li, Jun Zhu, Jianfei Chen
ECML-PKDD 2013 Structured Output Learning with Candidate Labels for Local Parts Chengtao Li, Jianwen Zhang, Zheng Chen