Yan Duan - RankMe

59 papers A* 8A 1C 3Misc 2Journal 29Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Contact-Aware Neural Dynamics. CoRR Changwei Jing, Jai Krishna Bandi, Jianglong Ye, Yan Duan, Pieter Abbeel, Xiaolong Wang, Sha Yi
2025	J	`jnl`	How Mind Perception Shapes Influencer-Product Fit: The Diverging Effects of Virtual Versus Human Influencers on Utilitarian and Hedonic Evaluations. J. Theor. Appl. Electron. Commer. Res. Yan Duan, Zicheng Hao, Fuqun Liang, Mingxuan Fan, Wei Zhang, Chenjing Wu, Xianyou He
2025	J	`jnl`	Learning to Design Soft Hands using Reward Models. CoRR Xueqian Bai, Nicklas Hansen, Adabhav Singh, Michael T. Tolley, Yan Duan, Pieter Abbeel, Xiaolong Wang, Sha Yi
2023	J	`jnl`	Optimal Frequency Ratio Design Method for Multifrequency Phase Unwrapping of UAV InSAR. IEEE Trans. Geosci. Remote. Sens. Xin Xie, Yunkai Deng, Weiming Tian, Yan Duan, Fuqiang Liu
2023	J	`jnl`	Vehicle re-identification method based on multi-attribute dense linking network combined with distance control module. Frontiers Neurorobotics Xiaoming Sun, Yan Chen, Yan Duan, Yongliang Wang, Junkai Zhang, Bochao Su, Li Li
2022	—	`conf`	A bioinspired olfactory sensor based on organoid-on-a-chip. ISOEN Nan Jiang, Chunlian Qin, Qunchen Yuan, Yan Duan, Mengxue Liu, Liujing Zhuang, Ping Wang
2022	J	`jnl`	An Improved Multi-Baseline Phase Unwrapping Method for GB-InSAR. Remote. Sens. Zihao Lin, Yan Duan, Yunkai Deng, Weiming Tian, Zheng Zhao
2022	—	`conf`	Flexible Neural Electrode Array Based-in vivo bioelectronic nose. ISOEN Yan Duan, Suhao Wang, Qunchen Yuan, Yingqian Shi, Liujing Zhuang, Jizhou Song, Ping Wang
2020	J	`jnl`	NeuroCard: One Cardinality Estimator for All Tables. CoRR Zongheng Yang, Amog Kamsetty, Sifei Luan, Eric Liang, Yan Duan, Xi Chen, Ion Stoica
2020	J	`jnl`	NeuroCard: One Cardinality Estimator for All Tables. Proc. VLDB Endow. Zongheng Yang, Amog Kamsetty, Sifei Luan, Eric Liang, Yan Duan, Xi Chen, Ion Stoica
2020	A*	`conf`	Variable Skipping for Autoregressive Range Density Estimation. ICML Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Xi Chen
2020	J	`jnl`	Variable Skipping for Autoregressive Range Density Estimation. CoRR Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Xi Chen
2019	J	`jnl`	Deep Unsupervised Cardinality Estimation. Proc. VLDB Endow. Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica
2019	A*	`conf`	Evaluating Protein Transfer Learning with TAPE. NeurIPS Roshan Rao, Nicholas Bhattacharya, Neil Thomas, Yan Duan, Xi Chen, John F. Canny, Pieter Abbeel, Yun S. Song
2019	J	`jnl`	Evaluating Protein Transfer Learning with TAPE. CoRR Roshan Rao, Nicholas Bhattacharya, Neil Thomas, Yan Duan, Xi Chen, John F. Canny, Pieter Abbeel, Yun S. Song
2019	A*	`conf`	Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design. ICML Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, Pieter Abbeel
2019	J	`jnl`	Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design. CoRR Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, Pieter Abbeel
2019	J	`jnl`	Selectivity Estimation with Deep Likelihood Models. CoRR Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica
2018	—	`conf`	Model-Ensemble Trust-Region Policy Optimization. ICLR (Poster) Thanard Kurutach, Ignasi Clavera, Yan Duan, Aviv Tamar, Pieter Abbeel
2018	J	`jnl`	Model-Ensemble Trust-Region Policy Optimization. CoRR Thanard Kurutach, Ignasi Clavera, Yan Duan, Aviv Tamar, Pieter Abbeel
2018	J	`jnl`	Some Considerations on Learning to Explore via Meta-Reinforcement Learning. CoRR Bradly C. Stadie, Ge Yang, Rein Houthooft, Xi Chen, Yan Duan, Yuhuai Wu, Pieter Abbeel, Ilya Sutskever
2018	A*	`conf`	The Importance of Sampling inMeta-Reinforcement Learning. NeurIPS Bradly C. Stadie, Ge Yang, Rein Houthooft, Xi Chen, Yan Duan, Yuhuai Wu, Pieter Abbeel, Ilya Sutskever
2018	—	`conf`	Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines. ICLR Cathy Wu, Aravind Rajeswaran, Yan Duan, Vikash Kumar, Alexandre M. Bayen, Sham M. Kakade, Igor Mordatch, Pieter Abbeel
2018	J	`jnl`	Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines. CoRR Cathy Wu, Aravind Rajeswaran, Yan Duan, Vikash Kumar, Alexandre M. Bayen, Sham M. Kakade, Igor Mordatch, Pieter Abbeel
2017	—	`conf`	#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning. NIPS Haoran Tang, Rein Houthooft, Davis Foote, Adam Stooke, Xi Chen, Yan Duan, John Schulman, Filip De Turck, Pieter Abbeel
2017	J	`jnl`	A Low-cost Dithering Method for Improving ADC Linearity Test Applied in uSMILE Algorithm. J. Electron. Test. Yan Duan, Tao Chen, Degang Chen
2017	—	`—`	Accurate Jitter Decomposition in High-Speed Links. Yan Duan
2017	Misc	`conf`	Accurate jitter decomposition in high-speed links. VTS Yan Duan, Degang Chen
2017	—	`conf`	Adversarial Attacks on Neural Network Policies. ICLR (Workshop) Sandy H. Huang, Nicolas Papernot, Ian J. Goodfellow, Yan Duan, Pieter Abbeel
2017	J	`jnl`	Adversarial Attacks on Neural Network Policies. CoRR Sandy H. Huang, Nicolas Papernot, Ian J. Goodfellow, Yan Duan, Pieter Abbeel
2017	J	`jnl`	Dependence Structure Analysis Of Meta-level Metrics in YouTube Videos: A Vine Copula Approach. CoRR Vikram Krishnamurthy, Yan Duan
2017	—	`—`	Meta Learning for Control. Yan Duan
2017	—	`conf`	One-Shot Imitation Learning. NIPS Yan Duan, Marcin Andrychowicz, Bradly C. Stadie, Jonathan Ho, Jonas Schneider, Ilya Sutskever, Pieter Abbeel, Wojciech Zaremba
2017	J	`jnl`	One-Shot Imitation Learning. CoRR Yan Duan, Marcin Andrychowicz, Bradly C. Stadie, Jonathan Ho, Jonas Schneider, Ilya Sutskever, Pieter Abbeel, Wojciech Zaremba
2017	—	`conf`	Stochastic Neural Networks for Hierarchical Reinforcement Learning. ICLR (Poster) Carlos Florensa, Yan Duan, Pieter Abbeel
2017	J	`jnl`	Stochastic Neural Networks for Hierarchical Reinforcement Learning. CoRR Carlos Florensa, Yan Duan, Pieter Abbeel
2017	—	`conf`	Variational Lossy Autoencoder. ICLR (Poster) Xi Chen, Diederik P. Kingma, Tim Salimans, Yan Duan, Prafulla Dhariwal, John Schulman, Ilya Sutskever, Pieter Abbeel
2016	J	`jnl`	#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning. CoRR Haoran Tang, Rein Houthooft, Davis Foote, Adam Stooke, Xi Chen, Yan Duan, John Schulman, Filip De Turck, Pieter Abbeel
2016	A*	`conf`	Benchmarking Deep Reinforcement Learning for Continuous Control. ICML Yan Duan, Xi Chen, Rein Houthooft, John Schulman, Pieter Abbeel
2016	J	`jnl`	Benchmarking Deep Reinforcement Learning for Continuous Control. CoRR Yan Duan, Xi Chen, Rein Houthooft, John Schulman, Pieter Abbeel
2016	J	`jnl`	Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks. CoRR Rein Houthooft, Xi Chen, Yan Duan, John Schulman, Filip De Turck, Pieter Abbeel
2016	A*	`conf`	Deep spatial autoencoders for visuomotor learning. ICRA Chelsea Finn, Xin Yu Tan, Yan Duan, Trevor Darrell, Sergey Levine, Pieter Abbeel
2016	—	`conf`	InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets. NIPS Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, Pieter Abbeel
2016	J	`jnl`	InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets. CoRR Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, Pieter Abbeel
2016	C	`conf`	Low-cost dithering generator for accurate ADC linearity test. ISCAS Yan Duan, Tao Chen, Degang Chen
2016	J	`jnl`	RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning. CoRR Yan Duan, John Schulman, Xi Chen, Peter L. Bartlett, Ilya Sutskever, Pieter Abbeel
2016	—	`conf`	VIME: Variational Information Maximizing Exploration. NIPS Rein Houthooft, Xi Chen, Yan Duan, John Schulman, Filip De Turck, Pieter Abbeel
2016	J	`jnl`	Variational Lossy Autoencoder. CoRR Xi Chen, Diederik P. Kingma, Tim Salimans, Yan Duan, Prafulla Dhariwal, John Schulman, Ilya Sutskever, Pieter Abbeel
2015	Misc	`conf`	A low cost jitter separation and characterization method. VTS Li Xu, Yan Duan, Degang Chen
2015	C	`conf`	High-constancy offset generator robust to CDAC nonlinearity for SEIR-based ADC BIST. ISCAS Yan Duan, Tao Chen, Zhiqiang Liu, Xu Zhang, Degang Chen
2015	J	`jnl`	Learning Visual Feature Spaces for Robotic Manipulation with Deep Spatial Autoencoders. CoRR Chelsea Finn, Xin Yu Tan, Yan Duan, Trevor Darrell, Sergey Levine, Pieter Abbeel
2014	—	`conf`	A signaling load and radio resource utilization balancing scheme for 3G cellular networks. ICT Huidi Li, Yan Duan, Xiao Yan, Long Zhang, Kai Chen, Jia Min, Zhiyong Feng
2014	A*	`conf`	Gaussian belief space planning with discontinuities in sensing domains. ICRA Sachin Patil, Yan Duan, John Schulman, Ken Goldberg, Pieter Abbeel
2014	C	`conf`	Identification and break of positive feedback loops in Trojan States Vulnerable Circuits. ISCAS Zhiqiang Liu, You Li, Yan Duan, Randall L. Geiger, Degang Chen
2014	J	`jnl`	Motion planning with sequential convex optimization and convex collision checking. Int. J. Robotics Res. John Schulman, Yan Duan, Jonathan Ho, Alex X. Lee, Ibrahim Awwal, Henry Bradlow, Jia Pan, Sachin Patil, Ken Goldberg, Pieter Abbeel
2014	A*	`conf`	Planning locally optimal, curvature-constrained trajectories in 3D using sequential convex optimization. ICRA Yan Duan, Sachin Patil, John Schulman, Kenneth Y. Goldberg, Pieter Abbeel
2014	—	`conf`	Spectrum survey for TV band in Beijing. ICT Kai Chen, Jia Min, Xianghui Han, Xiao Yan, Yan Duan, Long Zhang, Zhiyong Feng
2013	A	`conf`	Sigma hulls for Gaussian belief space planning for imprecise articulated robots amid obstacles. IROS Alex X. Lee, Yan Duan, Sachin Patil, John Schulman, Zoe McCarthy, Jur van den Berg, Ken Goldberg, Pieter Abbeel
2008	—	`conf`	Encryption Scheme for Remote Sensing Images Based on EZW and Chaos. ICYCS Lijie Yin, Jinhui Zhao, Yan Duan