Chengtao Li - RankMe

43 papers A* 10A 2B 1Journal 20Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	STRsensor: a computationally efficient method for STR allele-typing from massively parallel sequencing data. Briefings Bioinform. Xiaolong Zhang, Xianchao Ji, Lingxiang Wang, Lianjiang Chi, Chengtao Li, Shaoqing Wen, Hua Chen
2025	J	`jnl`	Stellis: A Strategy Language for Purifying Separation Logic Entailments. CoRR Zhiyi Wang, Xiwei Wu, Yi Fang, Chengtao Li, Hongyi Zhong, Lihan Xie, Qinxiang Cao, Zhenjiang Hu
2024	J	`jnl`	AUTODIFF: Autoregressive Diffusion Modeling for Structure-based Drug Design. CoRR Xinze Li, Penglei Wang, Tianfan Fu, Wenhao Gao, Chengtao Li, Leilei Shi, Junhong Liu
2023	J	`jnl`	Deep Reinforcement Learning for Joint Trajectory Planning, Transmission Scheduling, and Access Control in UAV-Assisted Wireless Sensor Networks. Sensors Xiaoling Luo, Che Chen, Chunnian Zeng, Chengtao Li, Jing Xu, Shimin Gong
2022	J	`jnl`	Accelerated rational PROTAC design via deep learning and molecular simulations. Nat. Mac. Intell. Shuangjia Zheng, Youhai Tan, Zhenyu Wang, Chengtao Li, Zhiqing Zhang, Xu Sang, Hongming Chen, Yuedong Yang
2022	—	`conf`	Influencing Factors Analysis and Prediction Model of Pavement Transverse Crack Based on Big Data. ICBDS Yuqin Zhu, Wengang Ma, Ling Cong, Chengtao Li, Shixiang Hu
2022	B	`conf`	Optimization-driven Deep Reinforcement Learning for Sniffer Patrolling in Wireless Networks. IWCMC Xiaoling Luo, Meng Wang, Chunnian Zeng, Chengtao Li, Jing Xu, Shimin Gong
2022	J	`jnl`	Structure-Aware Multimodal Deep Learning for Drug-Protein Interaction Prediction. J. Chem. Inf. Model. Penglei Wang, Shuangjia Zheng, Yize Jiang, Chengtao Li, Junhong Liu, Chang Wen, Atanas Patronov, Dahong Qian, Hongming Chen, Yuedong Yang
2022	A*	`conf`	TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction. NeurIPS Wei Lu, Qifeng Wu, Jixian Zhang, Jiahua Rao, Chengtao Li, Shuangjia Zheng
2021	J	`jnl`	BioNavi-NP: Biosynthesis Navigator for Natural Products. CoRR Shuangjia Zheng, Tao Zeng, Chengtao Li, Binghong Chen, Connor W. Coley, Yuedong Yang, Ruibo Wu
2021	J	`jnl`	Molecular Attributes Transfer from Non-Parallel Data. CoRR Shuangjia Zheng, Ying Song, Zhang Pan, Chengtao Li, Le Song, Yuedong Yang
2021	A*	`conf`	Molecule Optimization by Explainable Evolution. ICLR Binghong Chen, Tianzhe Wang, Chengtao Li, Hanjun Dai, Le Song
2020	—	`conf`	A Method for Image Big Data Utilization: Automated Progress Monitoring Based on Image Data for Large Construction Site. ICBDS Chengtao Li, Li Chen, Jiafeng Wang, Tianjian Xia
2020	A*	`conf`	Group Contextual Encoding for 3D Point Clouds. NeurIPS Xu Liu, Chengtao Li, Jian Wang, Jingbo Wang, Boxin Shi, Xiaodong He
2020	A*	`conf`	Retro: Learning Retrosynthetic Planning with Neural Guided A Search. ICML Binghong Chen, Chengtao Li, Hanjun Dai, Le Song
2020	J	`jnl`	Retro: Learning Retrosynthetic Planning with Neural Guided A Search. CoRR Binghong Chen, Chengtao Li, Hanjun Dai, Le Song
2020	J	`jnl`	Retrosynthesis Prediction with Conditional Graph Logic Network. CoRR Hanjun Dai, Chengtao Li, Connor W. Coley, Bo Dai, Le Song
2019	—	`—`	Diversity-inducing probability measures for machine learning. Chengtao Li
2019	A*	`conf`	Retrosynthesis Prediction with Conditional Graph Logic Network. NeurIPS Hanjun Dai, Chengtao Li, Connor W. Coley, Bo Dai, Le Song
2018	—	`conf`	Distributional Adversarial Networks. ICLR (Workshop) Chengtao Li, David Alvarez-Melis, Keyulu Xu, Stefanie Jegelka, Suvrit Sra
2018	—	`conf`	Improving Sequential Determinantal Point Processes for Supervised Video Summarization. ECCV (3) Aidean Sharghi, Ali Borji, Chengtao Li, Tianbao Yang, Boqing Gong
2018	J	`jnl`	Improving Sequential Determinantal Point Processes for Supervised Video Summarization. CoRR Aidean Sharghi, Ali Borji, Chengtao Li, Tianbao Yang, Boqing Gong
2018	A*	`conf`	Representation Learning on Graphs with Jumping Knowledge Networks. ICML Keyulu Xu, Chengtao Li, Yonglong Tian, Tomohiro Sonobe, Ken-ichi Kawarabayashi, Stefanie Jegelka
2018	J	`jnl`	Representation Learning on Graphs with Jumping Knowledge Networks. CoRR Keyulu Xu, Chengtao Li, Yonglong Tian, Tomohiro Sonobe, Ken-ichi Kawarabayashi, Stefanie Jegelka
2018	J	`jnl`	Robust GANs against Dishonest Adversaries. CoRR Zhi Xu, Chengtao Li, Stefanie Jegelka
2017	A*	`conf`	Batched High-dimensional Bayesian Optimization via Structural Kernel Learning. ICML Zi Wang, Chengtao Li, Stefanie Jegelka, Pushmeet Kohli
2017	J	`jnl`	Batched High-dimensional Bayesian Optimization via Structural Kernel Learning. CoRR Zi Wang, Chengtao Li, Stefanie Jegelka, Pushmeet Kohli
2017	J	`jnl`	Distributional Adversarial Networks. CoRR Chengtao Li, David Alvarez-Melis, Keyulu Xu, Stefanie Jegelka, Suvrit Sra
2017	—	`conf`	Neural Program Lattices. ICLR (Poster) Chengtao Li, Daniel Tarlow, Alexander L. Gaunt, Marc Brockschmidt, Nate Kushman
2017	—	`conf`	Polynomial time algorithms for dual volume sampling. NIPS Chengtao Li, Stefanie Jegelka, Suvrit Sra
2016	J	`jnl`	A topical diversity-based approach to detecting similar question groups from collaborative question-answering archives. Web Intell. Tianyong Hao, Chengtao Li, Wanqing Liang, Yingying Qu
2016	A	`conf`	Efficient Sampling for k-Determinantal Point Processes. AISTATS Chengtao Li, Stefanie Jegelka, Suvrit Sra
2016	A*	`conf`	Fast DPP Sampling for Nystrom with Application to Kernel Methods. ICML Chengtao Li, Stefanie Jegelka, Suvrit Sra
2016	J	`jnl`	Fast DPP Sampling for Nyström with Application to Kernel Methods. CoRR Chengtao Li, Stefanie Jegelka, Suvrit Sra
2016	—	`conf`	Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling. NIPS Chengtao Li, Suvrit Sra, Stefanie Jegelka
2016	J	`jnl`	Fast Sampling for Strongly Rayleigh Measures with Application to Determinantal Point Processes. CoRR Chengtao Li, Stefanie Jegelka, Suvrit Sra
2016	A*	`conf`	Gaussian quadrature for matrix inverse forms with applications. ICML Chengtao Li, Suvrit Sra, Stefanie Jegelka
2015	J	`jnl`	Bounds on bilinear inverse forms via Gaussian quadrature with applications. CoRR Chengtao Li, Suvrit Sra, Stefanie Jegelka
2015	J	`jnl`	Efficient Sampling for k-Determinantal Point Processes. CoRR Chengtao Li, Stefanie Jegelka, Suvrit Sra
2015	—	`conf`	Randomized Greedy Inference for Joint Segmentation, POS Tagging and Dependency Parsing. HLT-NAACL Yuan Zhang, Chengtao Li, Regina Barzilay, Kareem Darwish
2014	A*	`conf`	Bayesian Max-margin Multi-Task Learning with Data Augmentation. ICML Chengtao Li, Jun Zhu, Jianfei Chen
2013	A	`conf`	Sentiment Topic Model with Decomposed Prior. SDM Zheng Chen, Chengtao Li, Jian-Tao Sun, Jianwen Zhang
2013	—	`conf`	Structured Output Learning with Candidate Labels for Local Parts. ECML/PKDD (2) Chengtao Li, Jianwen Zhang, Zheng Chen