Chengtao Li

According to our database, Chengtao Li authored at least 32 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Deep Reinforcement Learning for Joint Trajectory Planning, Transmission Scheduling, and Access Control in UAV-Assisted Wireless Sensor Networks.

Xiaoling Luo, Che Chen, Chunnian Zeng, Chengtao Li, Jing Xu, Shimin Gong

Sensors, 2023

2022

Accelerated rational PROTAC design via deep learning and molecular simulations.

Shuangjia Zheng, Youhai Tan, Zhenyu Wang, Chengtao Li, Zhiqing Zhang, Xu Sang, Hongming Chen, Yuedong Yang

Nat. Mac. Intell., September, 2022

Structure-Aware Multimodal Deep Learning for Drug-Protein Interaction Prediction.

Penglei Wang, Shuangjia Zheng, Yize Jiang, Chengtao Li, Junhong Liu, Chang Wen, Atanas Patronov, Dahong Qian, Hongming Chen, Yuedong Yang

J. Chem. Inf. Model., 2022

TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction.

Wei Lu, Qifeng Wu, Jixian Zhang, Jiahua Rao, Chengtao Li, Shuangjia Zheng

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Optimization-driven Deep Reinforcement Learning for Sniffer Patrolling in Wireless Networks.

Xiaoling Luo, Meng Wang, Chunnian Zeng, Chengtao Li, Jing Xu, Shimin Gong

Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022

Influencing Factors Analysis and Prediction Model of Pavement Transverse Crack Based on Big Data.

Yuqin Zhu, Wengang Ma, Ling Cong, Chengtao Li, Shixiang Hu

Proceedings of the Big Data and Security - 4th International Conference, 2022

2021

Molecular Attributes Transfer from Non-Parallel Data.

Shuangjia Zheng, Ying Song, Zhang Pan, Chengtao Li, Le Song, Yuedong Yang

CoRR, 2021

BioNavi-NP: Biosynthesis Navigator for Natural Products.

Shuangjia Zheng, Tao Zeng, Chengtao Li, Binghong Chen, Connor W. Coley, Yuedong Yang, Ruibo Wu

CoRR, 2021

Molecule Optimization by Explainable Evolution.

Binghong Chen, Tianzhe Wang, Chengtao Li, Hanjun Dai, Le Song

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Group Contextual Encoding for 3D Point Clouds.

Xu Liu, Chengtao Li, Jian Wang, Jingbo Wang, Boxin Shi, Xiaodong He

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search.

Binghong Chen, Chengtao Li, Hanjun Dai, Le Song

Proceedings of the 37th International Conference on Machine Learning, 2020

A Method for Image Big Data Utilization: Automated Progress Monitoring Based on Image Data for Large Construction Site.

Chengtao Li, Li Chen, Jiafeng Wang, Tianjian Xia

Proceedings of the Big Data and Security - Second International Conference, 2020

2019

Diversity-inducing probability measures for machine learning.

Chengtao Li

PhD thesis, 2019

Retrosynthesis Prediction with Conditional Graph Logic Network.

Hanjun Dai, Chengtao Li, Connor W. Coley, Bo Dai, Le Song

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Robust GANs against Dishonest Adversaries.

Zhi Xu, Chengtao Li, Stefanie Jegelka

CoRR, 2018

Representation Learning on Graphs with Jumping Knowledge Networks.

Keyulu Xu, Chengtao Li, Yonglong Tian, Tomohiro Sonobe, Ken-ichi Kawarabayashi, Stefanie Jegelka

Proceedings of the 35th International Conference on Machine Learning, 2018

Distributional Adversarial Networks.

Chengtao Li, David Alvarez-Melis, Keyulu Xu, Stefanie Jegelka, Suvrit Sra

Proceedings of the 6th International Conference on Learning Representations, 2018

Improving Sequential Determinantal Point Processes for Supervised Video Summarization.

Aidean Sharghi, Ali Borji, Chengtao Li, Tianbao Yang, Boqing Gong

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Polynomial time algorithms for dual volume sampling.

Chengtao Li, Stefanie Jegelka, Suvrit Sra

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Batched High-dimensional Bayesian Optimization via Structural Kernel Learning.

Zi Wang, Chengtao Li, Stefanie Jegelka, Pushmeet Kohli

Proceedings of the 34th International Conference on Machine Learning, 2017

Neural Program Lattices.

Chengtao Li, Daniel Tarlow, Alexander L. Gaunt, Marc Brockschmidt, Nate Kushman

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

A topical diversity-based approach to detecting similar question groups from collaborative question-answering archives.

Tianyong Hao, Chengtao Li, Wanqing Liang, Yingying Qu

Web Intell., 2016

Fast Sampling for Strongly Rayleigh Measures with Application to Determinantal Point Processes.

Chengtao Li, Stefanie Jegelka, Suvrit Sra

CoRR, 2016

Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling.

Chengtao Li, Suvrit Sra, Stefanie Jegelka

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Gaussian quadrature for matrix inverse forms with applications.

Chengtao Li, Suvrit Sra, Stefanie Jegelka

Proceedings of the 33nd International Conference on Machine Learning, 2016

Fast DPP Sampling for Nystrom with Application to Kernel Methods.

Chengtao Li, Stefanie Jegelka, Suvrit Sra

Proceedings of the 33nd International Conference on Machine Learning, 2016

Efficient Sampling for k-Determinantal Point Processes.

Chengtao Li, Stefanie Jegelka, Suvrit Sra

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Bounds on bilinear inverse forms via Gaussian quadrature with applications.

Chengtao Li, Suvrit Sra, Stefanie Jegelka

CoRR, 2015

Randomized Greedy Inference for Joint Segmentation, POS Tagging and Dependency Parsing.

Yuan Zhang, Chengtao Li, Regina Barzilay, Kareem Darwish

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2014

Bayesian Max-margin Multi-Task Learning with Data Augmentation.

Chengtao Li, Jun Zhu, Jianfei Chen

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Sentiment Topic Model with Decomposed Prior.

Zheng Chen, Chengtao Li, Jian-Tao Sun, Jianwen Zhang

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Structured Output Learning with Candidate Labels for Local Parts.

Chengtao Li, Jianwen Zhang, Zheng Chen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013