Yan Duan

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 43

Top Venues

CoRR

NIPS

ICLR (Poster)

ICRA

University of California, Berkeley, USA (PHD)

Education History

University of California, Berkeley, USA

PHD

Publications

Xiaoming Sun, Yan Chen, Yan Duan, Yongliang Wang, Junkai Zhang, Bochao Su, Li Li
Vehicle re-identification method based on multi-attribute dense linking network combined with distance control module. Frontiers Neurorobotics 17 (2023)
Xin Xie, Yunkai Deng, Weiming Tian, Yan Duan, Fuqiang Liu
Optimal Frequency Ratio Design Method for Multifrequency Phase Unwrapping of UAV InSAR. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Yan Duan, Suhao Wang, Qunchen Yuan, Yingqian Shi, Liujing Zhuang, Jizhou Song, Ping Wang
Flexible Neural Electrode Array Based-in vivo bioelectronic nose. ISOEN (2022)
Nan Jiang, Chunlian Qin, Qunchen Yuan, Yan Duan, Mengxue Liu, Liujing Zhuang, Ping Wang
A bioinspired olfactory sensor based on organoid-on-a-chip. ISOEN (2022)
Zihao Lin, Yan Duan, Yunkai Deng, Weiming Tian, Zheng Zhao
An Improved Multi-Baseline Phase Unwrapping Method for GB-InSAR. Remote. Sens. 14 (11) (2022)
Zongheng Yang, Amog Kamsetty, Sifei Luan, Eric Liang, Yan Duan, Xi Chen, Ion Stoica
NeuroCard: One Cardinality Estimator for All Tables. CoRR (2020)
Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Xi Chen
Variable Skipping for Autoregressive Range Density Estimation. CoRR (2020)
Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Xi Chen
Variable Skipping for Autoregressive Range Density Estimation. ICML (2020)
Zongheng Yang, Amog Kamsetty, Sifei Luan, Eric Liang, Yan Duan, Xi Chen, Ion Stoica
NeuroCard: One Cardinality Estimator for All Tables. Proc. VLDB Endow. 14 (1) (2020)
Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica
Selectivity Estimation with Deep Likelihood Models. CoRR (2019)
Roshan Rao, Nicholas Bhattacharya, Neil Thomas, Yan Duan, Xi Chen, John F. Canny, Pieter Abbeel, Yun S. Song
Evaluating Protein Transfer Learning with TAPE. NeurIPS (2019)
Roshan Rao, Nicholas Bhattacharya, Neil Thomas, Yan Duan, Xi Chen, John F. Canny, Pieter Abbeel, Yun S. Song
Evaluating Protein Transfer Learning with TAPE. CoRR (2019)
Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, Pieter Abbeel
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design. CoRR (2019)
Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, Pieter Abbeel
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design. ICML (2019)
Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica
Deep Unsupervised Cardinality Estimation. Proc. VLDB Endow. 13 (3) (2019)
Cathy Wu, Aravind Rajeswaran, Yan Duan, Vikash Kumar, Alexandre M. Bayen, Sham M. Kakade, Igor Mordatch, Pieter Abbeel
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines. ICLR (2018)
Thanard Kurutach, Ignasi Clavera, Yan Duan, Aviv Tamar, Pieter Abbeel
Model-Ensemble Trust-Region Policy Optimization. ICLR (Poster) (2018)
Thanard Kurutach, Ignasi Clavera, Yan Duan, Aviv Tamar, Pieter Abbeel
Model-Ensemble Trust-Region Policy Optimization. CoRR (2018)
Bradly C. Stadie, Ge Yang, Rein Houthooft, Xi Chen, Yan Duan, Yuhuai Wu, Pieter Abbeel, Ilya Sutskever
Some Considerations on Learning to Explore via Meta-Reinforcement Learning. CoRR (2018)
Bradly C. Stadie, Ge Yang, Rein Houthooft, Xi Chen, Yan Duan, Yuhuai Wu, Pieter Abbeel, Ilya Sutskever
The Importance of Sampling inMeta-Reinforcement Learning. NeurIPS (2018)
Cathy Wu, Aravind Rajeswaran, Yan Duan, Vikash Kumar, Alexandre M. Bayen, Sham M. Kakade, Igor Mordatch, Pieter Abbeel
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines. CoRR (2018)
Xi Chen, Diederik P. Kingma, Tim Salimans, Yan Duan, Prafulla Dhariwal, John Schulman, Ilya Sutskever, Pieter Abbeel
Variational Lossy Autoencoder. ICLR (Poster) (2017)
Yan Duan, Marcin Andrychowicz, Bradly C. Stadie, Jonathan Ho, Jonas Schneider, Ilya Sutskever, Pieter Abbeel, Wojciech Zaremba
One-Shot Imitation Learning. NIPS (2017)
Haoran Tang, Rein Houthooft, Davis Foote, Adam Stooke, Xi Chen, Yan Duan, John Schulman, Filip De Turck, Pieter Abbeel
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning. NIPS (2017)
Yan Duan, Degang Chen
Accurate jitter decomposition in high-speed links. VTS (2017)
Carlos Florensa, Yan Duan, Pieter Abbeel
Stochastic Neural Networks for Hierarchical Reinforcement Learning. ICLR (Poster) (2017)
Carlos Florensa, Yan Duan, Pieter Abbeel
Stochastic Neural Networks for Hierarchical Reinforcement Learning. CoRR (2017)
Sandy H. Huang, Nicolas Papernot, Ian J. Goodfellow, Yan Duan, Pieter Abbeel
Adversarial Attacks on Neural Network Policies. ICLR (Workshop) (2017)
Yan Duan, Marcin Andrychowicz, Bradly C. Stadie, Jonathan Ho, Jonas Schneider, Ilya Sutskever, Pieter Abbeel, Wojciech Zaremba
One-Shot Imitation Learning. CoRR (2017)
Yan Duan, Tao Chen, Degang Chen
A Low-cost Dithering Method for Improving ADC Linearity Test Applied in uSMILE Algorithm. J. Electron. Test. 33 (6) (2017)
Vikram Krishnamurthy, Yan Duan
Dependence Structure Analysis Of Meta-level Metrics in YouTube Videos: A Vine Copula Approach. CoRR (2017)
Sandy H. Huang, Nicolas Papernot, Ian J. Goodfellow, Yan Duan, Pieter Abbeel
Adversarial Attacks on Neural Network Policies. CoRR (2017)
Chelsea Finn, Xin Yu Tan, Yan Duan, Trevor Darrell, Sergey Levine, Pieter Abbeel
Deep spatial autoencoders for visuomotor learning. ICRA (2016)
Rein Houthooft, Xi Chen, Yan Duan, John Schulman, Filip De Turck, Pieter Abbeel
Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks. CoRR (2016)
Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, Pieter Abbeel
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets. NIPS (2016)
Yan Duan, Tao Chen, Degang Chen
Low-cost dithering generator for accurate ADC linearity test. ISCAS (2016)
Yan Duan, Xi Chen, Rein Houthooft, John Schulman, Pieter Abbeel
Benchmarking Deep Reinforcement Learning for Continuous Control. ICML (2016)
Yan Duan, Xi Chen, Rein Houthooft, John Schulman, Pieter Abbeel
Benchmarking Deep Reinforcement Learning for Continuous Control. CoRR (2016)
Rein Houthooft, Xi Chen, Yan Duan, John Schulman, Filip De Turck, Pieter Abbeel
VIME: Variational Information Maximizing Exploration. NIPS (2016)
Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, Pieter Abbeel
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets. CoRR (2016)
Haoran Tang, Rein Houthooft, Davis Foote, Adam Stooke, Xi Chen, Yan Duan, John Schulman, Filip De Turck, Pieter Abbeel
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning. CoRR (2016)
Yan Duan, John Schulman, Xi Chen, Peter L. Bartlett, Ilya Sutskever, Pieter Abbeel
RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning. CoRR (2016)
Xi Chen, Diederik P. Kingma, Tim Salimans, Yan Duan, Prafulla Dhariwal, John Schulman, Ilya Sutskever, Pieter Abbeel
Variational Lossy Autoencoder. CoRR (2016)
Chelsea Finn, Xin Yu Tan, Yan Duan, Trevor Darrell, Sergey Levine, Pieter Abbeel
Learning Visual Feature Spaces for Robotic Manipulation with Deep Spatial Autoencoders. CoRR (2015)
Li Xu, Yan Duan, Degang Chen
A low cost jitter separation and characterization method. VTS (2015)
Yan Duan, Tao Chen, Zhiqiang Liu, Xu Zhang, Degang Chen
High-constancy offset generator robust to CDAC nonlinearity for SEIR-based ADC BIST. ISCAS (2015)
Huidi Li, Yan Duan, Xiao Yan, Long Zhang, Kai Chen, Jia Min, Zhiyong Feng
A signaling load and radio resource utilization balancing scheme for 3G cellular networks. ICT (2014)
John Schulman, Yan Duan, Jonathan Ho, Alex X. Lee, Ibrahim Awwal, Henry Bradlow, Jia Pan, Sachin Patil, Ken Goldberg, Pieter Abbeel
Motion planning with sequential convex optimization and convex collision checking. Int. J. Robotics Res. 33 (9) (2014)
Zhiqiang Liu, You Li, Yan Duan, Randall L. Geiger, Degang Chen
Identification and break of positive feedback loops in Trojan States Vulnerable Circuits. ISCAS (2014)
Sachin Patil, Yan Duan, John Schulman, Ken Goldberg, Pieter Abbeel
Gaussian belief space planning with discontinuities in sensing domains. ICRA (2014)
Yan Duan, Sachin Patil, John Schulman, Kenneth Y. Goldberg, Pieter Abbeel
Planning locally optimal, curvature-constrained trajectories in 3D using sequential convex optimization. ICRA (2014)
Kai Chen, Jia Min, Xianghui Han, Xiao Yan, Yan Duan, Long Zhang, Zhiyong Feng
Spectrum survey for TV band in Beijing. ICT (2014)
Alex X. Lee, Yan Duan, Sachin Patil, John Schulman, Zoe McCarthy, Jur van den Berg, Ken Goldberg, Pieter Abbeel
Sigma hulls for Gaussian belief space planning for imprecise articulated robots amid obstacles. IROS (2013)
Lijie Yin, Jinhui Zhao, Yan Duan
Encryption Scheme for Remote Sensing Images Based on EZW and Chaos. ICYCS (2008)

Yan Duan.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

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Yan Duan