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2020 – today
- 2024
[i14]Xinze Li, Penglei Wang, Tianfan Fu, Wenhao Gao, Chengtao Li, Leilei Shi, Junhong Liu:
AUTODIFF: Autoregressive Diffusion Modeling for Structure-based Drug Design. CoRR abs/2404.02003 (2024)- 2023
- [j4]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): 4691 (2023) - 2022
- [j3]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): 1308-1317 (2022) - [j2]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): 739-748 (2022) - [c22]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: 122-138 - [c21]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: 760-765 - [c20]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 - 2021
- [c19]Binghong Chen, Tianzhe Wang, Chengtao Li, Hanjun Dai, Le Song:
Molecule Optimization by Explainable Evolution. ICLR 2021 - [i13]Shuangjia Zheng, Tao Zeng, Chengtao Li, Binghong Chen, Connor W. Coley, Yuedong Yang, Ruibo Wu:
BioNavi-NP: Biosynthesis Navigator for Natural Products. CoRR abs/2105.13121 (2021) - [i12]Shuangjia Zheng, Ying Song, Zhang Pan, Chengtao Li, Le Song, Yuedong Yang:
Molecular Attributes Transfer from Non-Parallel Data. CoRR abs/2111.15146 (2021) - 2020
- [c18]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: 299-313 - [c17]Binghong Chen, Chengtao Li, Hanjun Dai, Le Song:
Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search. ICML 2020: 1608-1616 - [c16]Xu Liu, Chengtao Li, Jian Wang, Jingbo Wang, Boxin Shi, Xiaodong He:
Group Contextual Encoding for 3D Point Clouds. NeurIPS 2020 - [i11]Hanjun Dai, Chengtao Li, Connor W. Coley, Bo Dai, Le Song:
Retrosynthesis Prediction with Conditional Graph Logic Network. CoRR abs/2001.01408 (2020) - [i10]Binghong Chen, Chengtao Li, Hanjun Dai, Le Song:
Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search. CoRR abs/2006.15820 (2020)
2010 – 2019
- 2019
- [b1]Chengtao Li:
Diversity-inducing probability measures for machine learning. Massachusetts Institute of Technology, Cambridge, USA, 2019 - [c15]Hanjun Dai, Chengtao Li, Connor W. Coley, Bo Dai, Le Song:
Retrosynthesis Prediction with Conditional Graph Logic Network. NeurIPS 2019: 8870-8880 - 2018
- [c14]Aidean Sharghi, Ali Borji, Chengtao Li, Tianbao Yang, Boqing Gong:
Improving Sequential Determinantal Point Processes for Supervised Video Summarization. ECCV (3) 2018: 533-550 - [c13]Chengtao Li, David Alvarez-Melis, Keyulu Xu, Stefanie Jegelka, Suvrit Sra:
Distributional Adversarial Networks. ICLR (Workshop) 2018 - [c12]Keyulu Xu, Chengtao Li, Yonglong Tian, Tomohiro Sonobe, Ken-ichi Kawarabayashi, Stefanie Jegelka:
Representation Learning on Graphs with Jumping Knowledge Networks. ICML 2018: 5449-5458 - [i9]Zhi Xu, Chengtao Li, Stefanie Jegelka:
Robust GANs against Dishonest Adversaries. CoRR abs/1802.09700 (2018) - [i8]Keyulu Xu, Chengtao Li, Yonglong Tian, Tomohiro Sonobe, Ken-ichi Kawarabayashi, Stefanie Jegelka:
Representation Learning on Graphs with Jumping Knowledge Networks. CoRR abs/1806.03536 (2018) - [i7]Aidean Sharghi, Ali Borji, Chengtao Li, Tianbao Yang, Boqing Gong:
Improving Sequential Determinantal Point Processes for Supervised Video Summarization. CoRR abs/1807.10957 (2018) - 2017
- [c11]Chengtao Li, Daniel Tarlow, Alexander L. Gaunt, Marc Brockschmidt, Nate Kushman:
Neural Program Lattices. ICLR (Poster) 2017 - [c10]Zi Wang, Chengtao Li, Stefanie Jegelka, Pushmeet Kohli:
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning. ICML 2017: 3656-3664 - [c9]Chengtao Li, Stefanie Jegelka, Suvrit Sra:
Polynomial time algorithms for dual volume sampling. NIPS 2017: 5038-5047 - [i6]Zi Wang, Chengtao Li, Stefanie Jegelka, Pushmeet Kohli:
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning. CoRR abs/1703.01973 (2017) - [i5]Chengtao Li, David Alvarez-Melis, Keyulu Xu, Stefanie Jegelka, Suvrit Sra:
Distributional Adversarial Networks. CoRR abs/1706.09549 (2017) - 2016
- [j1]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): 301-308 (2016) - [c8]Chengtao Li, Stefanie Jegelka, Suvrit Sra:
Efficient Sampling for k-Determinantal Point Processes. AISTATS 2016: 1328-1337 - [c7]Chengtao Li, Suvrit Sra, Stefanie Jegelka:
Gaussian quadrature for matrix inverse forms with applications. ICML 2016: 1766-1775 - [c6]Chengtao Li, Stefanie Jegelka, Suvrit Sra:
Fast DPP Sampling for Nystrom with Application to Kernel Methods. ICML 2016: 2061-2070 - [c5]Chengtao Li, Suvrit Sra, Stefanie Jegelka:
Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling. NIPS 2016: 4188-4196 - [i4]Chengtao Li, Stefanie Jegelka, Suvrit Sra:
Fast DPP Sampling for Nyström with Application to Kernel Methods. CoRR abs/1603.06052 (2016) - [i3]Chengtao Li, Stefanie Jegelka, Suvrit Sra:
Fast Sampling for Strongly Rayleigh Measures with Application to Determinantal Point Processes. CoRR abs/1607.03559 (2016) - 2015
- [c4]Yuan Zhang, Chengtao Li, Regina Barzilay, Kareem Darwish:
Randomized Greedy Inference for Joint Segmentation, POS Tagging and Dependency Parsing. HLT-NAACL 2015: 42-52 - [i2]Chengtao Li, Stefanie Jegelka, Suvrit Sra:
Efficient Sampling for k-Determinantal Point Processes. CoRR abs/1509.01618 (2015) - [i1]Chengtao Li, Suvrit Sra, Stefanie Jegelka:
Bounds on bilinear inverse forms via Gaussian quadrature with applications. CoRR abs/1512.01904 (2015) - 2014
- [c3]Chengtao Li, Jun Zhu, Jianfei Chen:
Bayesian Max-margin Multi-Task Learning with Data Augmentation. ICML 2014: 415-423 - 2013
- [c2]Chengtao Li, Jianwen Zhang, Zheng Chen:
Structured Output Learning with Candidate Labels for Local Parts. ECML/PKDD (2) 2013: 336-352 - [c1]Zheng Chen, Chengtao Li, Jian-Tao Sun, Jianwen Zhang:
Sentiment Topic Model with Decomposed Prior. SDM 2013: 767-775
Coauthor Index
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last updated on 2024-08-13 20:44 CEST by the dblp team
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