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Yan Duan
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2020 – today
- 2023
- [j7]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) - [j6]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: 1-13 (2023) - 2022
- [j5]Zihao Lin, Yan Duan, Yunkai Deng, Weiming Tian, Zheng Zhao:
An Improved Multi-Baseline Phase Unwrapping Method for GB-InSAR. Remote. Sens. 14(11): 2543 (2022) - [c28]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: 1-4 - [c27]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: 1-3 - 2020
- [j4]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): 61-73 (2020) - [c26]Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Xi Chen:
Variable Skipping for Autoregressive Range Density Estimation. ICML 2020: 6040-6049 - [i19]Zongheng Yang, Amog Kamsetty, Sifei Luan, Eric Liang, Yan Duan, Xi Chen, Ion Stoica:
NeuroCard: One Cardinality Estimator for All Tables. CoRR abs/2006.08109 (2020) - [i18]Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Xi Chen:
Variable Skipping for Autoregressive Range Density Estimation. CoRR abs/2007.05572 (2020)
2010 – 2019
- 2019
- [j3]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): 279-292 (2019) - [c25]Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, Pieter Abbeel:
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design. ICML 2019: 2722-2730 - [c24]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: 9686-9698 - [i17]Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, Pieter Abbeel:
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design. CoRR abs/1902.00275 (2019) - [i16]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 abs/1905.04278 (2019) - [i15]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 abs/1906.08230 (2019) - 2018
- [c23]Thanard Kurutach, Ignasi Clavera, Yan Duan, Aviv Tamar, Pieter Abbeel:
Model-Ensemble Trust-Region Policy Optimization. ICLR (Poster) 2018 - [c22]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 - [c21]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: 9300-9310 - [i14]Thanard Kurutach, Ignasi Clavera, Yan Duan, Aviv Tamar, Pieter Abbeel:
Model-Ensemble Trust-Region Policy Optimization. CoRR abs/1802.10592 (2018) - [i13]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 abs/1803.01118 (2018) - [i12]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 abs/1803.07246 (2018) - 2017
- [b1]Yan Duan:
Meta Learning for Control. University of California, Berkeley, USA, 2017 - [j2]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): 709-720 (2017) - [c20]Xi Chen, Diederik P. Kingma, Tim Salimans, Yan Duan, Prafulla Dhariwal, John Schulman, Ilya Sutskever, Pieter Abbeel:
Variational Lossy Autoencoder. ICLR (Poster) 2017 - [c19]Carlos Florensa, Yan Duan, Pieter Abbeel:
Stochastic Neural Networks for Hierarchical Reinforcement Learning. ICLR (Poster) 2017 - [c18]Sandy H. Huang, Nicolas Papernot, Ian J. Goodfellow, Yan Duan, Pieter Abbeel:
Adversarial Attacks on Neural Network Policies. ICLR (Workshop) 2017 - [c17]Yan Duan, Marcin Andrychowicz, Bradly C. Stadie, Jonathan Ho, Jonas Schneider, Ilya Sutskever, Pieter Abbeel, Wojciech Zaremba:
One-Shot Imitation Learning. NIPS 2017: 1087-1098 - [c16]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: 2753-2762 - [c15]Yan Duan, Degang Chen:
Accurate jitter decomposition in high-speed links. VTS 2017: 1-6 - [i11]Sandy H. Huang, Nicolas Papernot, Ian J. Goodfellow, Yan Duan, Pieter Abbeel:
Adversarial Attacks on Neural Network Policies. CoRR abs/1702.02284 (2017) - [i10]Yan Duan, Marcin Andrychowicz, Bradly C. Stadie, Jonathan Ho, Jonas Schneider, Ilya Sutskever, Pieter Abbeel, Wojciech Zaremba:
One-Shot Imitation Learning. CoRR abs/1703.07326 (2017) - [i9]Carlos Florensa, Yan Duan, Pieter Abbeel:
Stochastic Neural Networks for Hierarchical Reinforcement Learning. CoRR abs/1704.03012 (2017) - [i8]Vikram Krishnamurthy, Yan Duan:
Dependence Structure Analysis Of Meta-level Metrics in YouTube Videos: A Vine Copula Approach. CoRR abs/1712.10232 (2017) - 2016
- [c14]Yan Duan, Xi Chen, Rein Houthooft, John Schulman, Pieter Abbeel:
Benchmarking Deep Reinforcement Learning for Continuous Control. ICML 2016: 1329-1338 - [c13]Chelsea Finn, Xin Yu Tan, Yan Duan, Trevor Darrell, Sergey Levine, Pieter Abbeel:
Deep spatial autoencoders for visuomotor learning. ICRA 2016: 512-519 - [c12]Yan Duan, Tao Chen, Degang Chen:
Low-cost dithering generator for accurate ADC linearity test. ISCAS 2016: 1474-1477 - [c11]Rein Houthooft, Xi Chen, Yan Duan, John Schulman, Filip De Turck, Pieter Abbeel:
VIME: Variational Information Maximizing Exploration. NIPS 2016: 1109-1117 - [c10]Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, Pieter Abbeel:
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets. NIPS 2016: 2172-2180 - [i7]Yan Duan, Xi Chen, Rein Houthooft, John Schulman, Pieter Abbeel:
Benchmarking Deep Reinforcement Learning for Continuous Control. CoRR abs/1604.06778 (2016) - [i6]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 abs/1605.09674 (2016) - [i5]Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, Pieter Abbeel:
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets. CoRR abs/1606.03657 (2016) - [i4]Xi Chen, Diederik P. Kingma, Tim Salimans, Yan Duan, Prafulla Dhariwal, John Schulman, Ilya Sutskever, Pieter Abbeel:
Variational Lossy Autoencoder. CoRR abs/1611.02731 (2016) - [i3]Yan Duan, John Schulman, Xi Chen, Peter L. Bartlett, Ilya Sutskever, Pieter Abbeel:
RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning. CoRR abs/1611.02779 (2016) - [i2]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 abs/1611.04717 (2016) - 2015
- [c9]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: 3016-3019 - [c8]Li Xu, Yan Duan, Degang Chen:
A low cost jitter separation and characterization method. VTS 2015: 1-5 - [i1]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 abs/1509.06113 (2015) - 2014
- [j1]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): 1251-1270 (2014) - [c7]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: 5889-5895 - [c6]Sachin Patil, Yan Duan, John Schulman, Ken Goldberg, Pieter Abbeel:
Gaussian belief space planning with discontinuities in sensing domains. ICRA 2014: 6483-6490 - [c5]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: 171-175 - [c4]Kai Chen, Jia Min, Xianghui Han, Xiao Yan, Yan Duan, Long Zhang, Zhiyong Feng:
Spectrum survey for TV band in Beijing. ICT 2014: 267-271 - [c3]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: 289-292 - 2013
- [c2]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: 5660-5667
2000 – 2009
- 2008
- [c1]Lijie Yin, Jinhui Zhao, Yan Duan:
Encryption Scheme for Remote Sensing Images Based on EZW and Chaos. ICYCS 2008: 1601-1605
Coauthor Index
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