Chengtao Li

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 34

Top Venues

Massachusetts Institute of Technology, Cambridge, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, USA

PHD

Publications

Xinze Li, Penglei Wang, Tianfan Fu, Wenhao Gao, Chengtao Li, Leilei Shi, Junhong Liu
AUTODIFF: Autoregressive Diffusion Modeling for Structure-based Drug Design. CoRR (2024)
Xiaoling Luo, Che Chen, Chunnian Zeng, Chengtao Li, Jing Xu, Shimin Gong
Deep Reinforcement Learning for Joint Trajectory Planning, Transmission Scheduling, and Access Control in UAV-Assisted Wireless Sensor Networks. Sensors 23 (10) (2023)
Xiaoling Luo, Meng Wang, Chunnian Zeng, Chengtao Li, Jing Xu, Shimin Gong
Optimization-driven Deep Reinforcement Learning for Sniffer Patrolling in Wireless Networks. IWCMC (2022)
Yuqin Zhu, Wengang Ma, Ling Cong, Chengtao Li, Shixiang Hu
Influencing Factors Analysis and Prediction Model of Pavement Transverse Crack Based on Big Data. ICBDS (2022)
Wei Lu, Qifeng Wu, Jixian Zhang, Jiahua Rao, Chengtao Li, Shuangjia Zheng
TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction. NeurIPS (2022)
Shuangjia Zheng, Youhai Tan, Zhenyu Wang, Chengtao Li, Zhiqing Zhang, Xu Sang, Hongming Chen, Yuedong Yang
Accelerated rational PROTAC design via deep learning and molecular simulations. Nat. Mac. Intell. 4 (9) (2022)
Penglei Wang, Shuangjia Zheng, Yize Jiang, Chengtao Li, Junhong Liu, Chang Wen, Atanas Patronov, Dahong Qian, Hongming Chen, Yuedong Yang
Structure-Aware Multimodal Deep Learning for Drug-Protein Interaction Prediction. J. Chem. Inf. Model. 62 (5) (2022)
Shuangjia Zheng, Ying Song, Zhang Pan, Chengtao Li, Le Song, Yuedong Yang
Molecular Attributes Transfer from Non-Parallel Data. CoRR (2021)
Shuangjia Zheng, Tao Zeng, Chengtao Li, Binghong Chen, Connor W. Coley, Yuedong Yang, Ruibo Wu
BioNavi-NP: Biosynthesis Navigator for Natural Products. CoRR (2021)
Binghong Chen, Tianzhe Wang, Chengtao Li, Hanjun Dai, Le Song
Molecule Optimization by Explainable Evolution. ICLR (2021)
Hanjun Dai, Chengtao Li, Connor W. Coley, Bo Dai, Le Song
Retrosynthesis Prediction with Conditional Graph Logic Network. CoRR (2020)
Xu Liu, Chengtao Li, Jian Wang, Jingbo Wang, Boxin Shi, Xiaodong He
Group Contextual Encoding for 3D Point Clouds. NeurIPS (2020)
Chengtao Li, Li Chen, Jiafeng Wang, Tianjian Xia
A Method for Image Big Data Utilization: Automated Progress Monitoring Based on Image Data for Large Construction Site. ICBDS (2020)
Binghong Chen, Chengtao Li, Hanjun Dai, Le Song
Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search. ICML (2020)
Binghong Chen, Chengtao Li, Hanjun Dai, Le Song
Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search. CoRR (2020)
Hanjun Dai, Chengtao Li, Connor W. Coley, Bo Dai, Le Song
Retrosynthesis Prediction with Conditional Graph Logic Network. NeurIPS (2019)
Chengtao Li, David Alvarez-Melis, Keyulu Xu, Stefanie Jegelka, Suvrit Sra
Distributional Adversarial Networks. ICLR (Workshop) (2018)
Aidean Sharghi, Ali Borji, Chengtao Li, Tianbao Yang, Boqing Gong
Improving Sequential Determinantal Point Processes for Supervised Video Summarization. CoRR (2018)
Zhi Xu, Chengtao Li, Stefanie Jegelka
Robust GANs against Dishonest Adversaries. CoRR (2018)
Aidean Sharghi, Ali Borji, Chengtao Li, Tianbao Yang, Boqing Gong
Improving Sequential Determinantal Point Processes for Supervised Video Summarization. ECCV (3) (2018)
Keyulu Xu, Chengtao Li, Yonglong Tian, Tomohiro Sonobe, Ken-ichi Kawarabayashi, Stefanie Jegelka
Representation Learning on Graphs with Jumping Knowledge Networks. ICML (2018)
Keyulu Xu, Chengtao Li, Yonglong Tian, Tomohiro Sonobe, Ken-ichi Kawarabayashi, Stefanie Jegelka
Representation Learning on Graphs with Jumping Knowledge Networks. CoRR (2018)
Chengtao Li, David Alvarez-Melis, Keyulu Xu, Stefanie Jegelka, Suvrit Sra
Distributional Adversarial Networks. CoRR (2017)
Chengtao Li, Daniel Tarlow, Alexander L. Gaunt, Marc Brockschmidt, Nate Kushman
Neural Program Lattices. ICLR (Poster) (2017)
Zi Wang, Chengtao Li, Stefanie Jegelka, Pushmeet Kohli
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning. ICML (2017)
Zi Wang, Chengtao Li, Stefanie Jegelka, Pushmeet Kohli
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning. CoRR (2017)
Chengtao Li, Stefanie Jegelka, Suvrit Sra
Polynomial time algorithms for dual volume sampling. NIPS (2017)
Chengtao Li, Stefanie Jegelka, Suvrit Sra
Efficient Sampling for k-Determinantal Point Processes. AISTATS (2016)
Chengtao Li, Suvrit Sra, Stefanie Jegelka
Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling. NIPS (2016)
Chengtao Li, Suvrit Sra, Stefanie Jegelka
Gaussian quadrature for matrix inverse forms with applications. ICML (2016)
Chengtao Li, Stefanie Jegelka, Suvrit Sra
Fast DPP Sampling for Nystrom with Application to Kernel Methods. ICML (2016)
Tianyong Hao, Chengtao Li, Wanqing Liang, Yingying Qu
A topical diversity-based approach to detecting similar question groups from collaborative question-answering archives. Web Intell. 14 (4) (2016)
Chengtao Li, Stefanie Jegelka, Suvrit Sra
Fast Sampling for Strongly Rayleigh Measures with Application to Determinantal Point Processes. CoRR (2016)
Chengtao Li, Stefanie Jegelka, Suvrit Sra
Fast DPP Sampling for Nyström with Application to Kernel Methods. CoRR (2016)
Chengtao Li, Suvrit Sra, Stefanie Jegelka
Bounds on bilinear inverse forms via Gaussian quadrature with applications. CoRR (2015)
Chengtao Li, Stefanie Jegelka, Suvrit Sra
Efficient Sampling for k-Determinantal Point Processes. CoRR (2015)
Yuan Zhang, Chengtao Li, Regina Barzilay, Kareem Darwish
Randomized Greedy Inference for Joint Segmentation, POS Tagging and Dependency Parsing. HLT-NAACL (2015)
Chengtao Li, Jun Zhu, Jianfei Chen
Bayesian Max-margin Multi-Task Learning with Data Augmentation. ICML (2014)
Zheng Chen, Chengtao Li, Jian-Tao Sun, Jianwen Zhang
Sentiment Topic Model with Decomposed Prior. SDM (2013)
Chengtao Li, Jianwen Zhang, Zheng Chen
Structured Output Learning with Candidate Labels for Local Parts. ECML/PKDD (2) (2013)

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Publication Activity (10 Years)

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Chengtao Li