Zheng Qian

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	ChatGPT for shaping the future of dentistry: the potential of multi-modal large language model	2023	Hanyao Huang Ou Zheng Dongdong Wang Jiayi Yin Zijin Wang Shengxuan Ding Heng Yin Chuan Xu Renjie Yang Zheng Qian
+ PDF Chat	Numerical and experimental investigation of electromagnetic cold crucible used for emissivity measurement of molten material	2023	Kun Yu Zheng Qian Longfei Li Gangquan Wang Kaihua Zhang Yufang Liu Xiaohu Wu
+	ChatGPT for Shaping the Future of Dentistry: The Potential of Multi-Modal Large Language Model	2023	Hanyao Huang Ou Zheng Dongdong Wang Jiayi Yin Zijin Wang Shengxuan Ding Heng Yin Chuan Xu Renjie Yang Zheng Qian
+	Fault diagnosis for PV arrays considering dust impact based on transformed graphical feature of characteristic curves and convolutional neural network with CBAM modules	2023	Jiaqi Qu Lu Wei Qiang Sun Hamidreza Zareipour Zheng Qian
+	Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification	2023	Xing Dong Pengjie Gu Zheng Qian Xinrun Wang Shanqi Liu Longtao Zheng Bo An Gang Pan
+ PDF Chat	Policy Optimization with Stochastic Mirror Descent	2022	Yang Long Yu Zhang Gang Zheng Zheng Qian Pengfei Li Jianhang Huang Gang Pan
+	TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources	2022	Xing Dong Zheng Qian Qianhui Liu Gang Pan
+ PDF Chat	Sample Complexity of Policy Gradient Finding Second-Order Stationary Points	2021	Yang Long Zheng Qian Gang Pan
+ PDF Chat	On Convergence of Gradient Expected Sarsa(λ)	2021	Yang Long Gang Zheng Yu Zhang Zheng Qian Pengfei Li Gang Pan
+	On Convergence of Gradient Expected Sarsa($λ$)	2020	Yang Long Gang Zheng Yu Zhang Zheng Qian Pengfei Li Gang Pan
+ PDF Chat	Qualitative Measurements of Policy Discrepancy for Return-Based Deep Q-Network	2019	Wenjia Meng Zheng Qian Yang Long Pengfei Li Gang Pan
+	Gradient Q$(σ, λ)$: A Unified Algorithm with Function Approximation for Reinforcement Learning	2019	Yang Long Yu Zhang Zheng Qian Pengfei Li Gang Pan
+	Policy Optimization with Stochastic Mirror Descent	2019	Long Yang Yu Zhang Gang Zheng Zheng Qian Pengfei Li Jianhang Huang Jun Wen Gang Pan
+	A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning	2018	Yang Long Minhao Shi Zheng Qian Wenjia Meng Gang Pan
+	A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning	2018	Yang Long Minhao Shi Zheng Qian Wenjia Meng Gang Pan
+	Exploiting Local Feature Patterns for Unsupervised Domain Adaptation	2018	Jun Wen Risheng Liu Nenggan Zheng Zheng Qian Zhefeng Gong Junsong Yuan

Common Coauthors

Coauthor	Papers Together
Gang Pan	11
Yang Long	8
Pengfei Li	6
Wenjia Meng	3
Gang Zheng	3
Yu Zhang	3
Shengxuan Ding	2
Bing Shi	2
Renjie Yang	2
Zijin Wang	2
Minhao Shi	2
Jiayi Yin	2
Chuan Xu	2
Heng Yin	2
Dongdong Wang	2
Xing Dong	2
Jianhang Huang	2
Hanyao Huang	2
Qiang Sun	1
Longfei Li	1
Yu Zhang	1
Yu Zhang	1
Jun Wen	1
Yufang Liu	1
Bo An	1
Lu Wei	1
Pengjie Gu	1
Gangquan Wang	1
Kaihua Zhang	1
Shanqi Liu	1
Longtao Zheng	1
Gang Zheng	1
Hamidreza Zareipour	1
Ou Zheng	1
Zhefeng Gong	1
Long Yang	1
Nenggan Zheng	1
Risheng Liu	1
Qianhui Liu	1
Xinrun Wang	1
Jiaqi Qu	1
Xiaohu Wu	1
Kun Yu	1
Ou Zheng	1
Junsong Yuan	1
Jun Wen	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Finite-Sample Analysis of Proximal Gradient TD Algorithms	2020	Bo Liu Ji Liu Mohammad Ghavamzadeh Sridhar Mahadevan Marek Petrik	3
+	A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning	2018	Yang Long Minhao Shi Zheng Qian Wenjia Meng Gang Pan	3
+	Robust Stochastic Approximation Approach to Stochastic Programming	2009	Arkadi Nemirovski Anatoli Juditsky Guanghui Lan Alexander Shapiro	3
+ PDF Chat	Multi-Step Reinforcement Learning: A Unifying Algorithm	2018	Kristopher De Asis Juan Hernandez-Garcia Gerhard Holland Richard S. Sutton	2
+	SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator	2018	Cong Fang Chris Junchi Li Zhouchen Lin Tong Zhang	2
+	SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient	2017	Lam M. Nguyen Jie Liu Katya Scheinberg Martin Takáč	2
+	Sample Efficient Policy Gradient Methods with Recursive Variance Reduction	2019	Pan Xu Felicia Gao Quanquan Gu	2
+ PDF Chat	Mini-batch stochastic approximation methods for nonconvex stochastic composite optimization	2014	Saeed Ghadimi Guanghui Lan Hongchao Zhang	2
+ PDF Chat	A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound	2020	Gal Dalal Balázs Szörényi Gugan Thoppe	2
+	Linear Stochastic Approximation: How Far Does Constant Step-Size and Iterate Averaging Go?	2018	Chandrashekar Lakshminarayanan Csaba Szepesvári	2
+	Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor	2018	Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine	2
+ PDF Chat	Temporal Difference Methods for General Projected Equations	2011	Dimitri P. Bertsekas	2
+ PDF Chat	Stochastic Variance-Reduced Policy Gradient	2018	Matteo Papini Damiano Binaghi Giuseppe Canonaco Matteo Pirotta Marcello Restelli	2
+	Hessian Aided Policy Gradient	2019	Zebang Shen Alejandro Ribeiro Hamed Hassani Hui Qian Chao Mi	2
+	High-Dimensional Continuous Control Using Generalized Advantage Estimation	2015	John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel	2
+	Stochastic Variance Reduction Methods for Policy Evaluation	2017	Simon S. Du Jianshu Chen Lihong Li Lin Xiao Dengyong Zhou	2
+	Benchmarking Deep Reinforcement Learning for Continuous Control	2016	Yan Duan Xi Chen Rein Houthooft John Schulman Pieter Abbeel	2
+	Continuous control with deep reinforcement learning	2016	Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel Nicolas Heess Tom Erez Yuval Tassa David Silver Daan Wierstra	2
+	An Improved Convergence Analysis of Stochastic Variance-Reduced Policy Gradient	2019	Pan Xu Felicia Gao Quanquan Gu	2
+	Stochastic Variance-Reduced Policy Gradient	2018	Matteo Papini Damiano Binaghi Giuseppe Canonaco Matteo Pirotta Marcello Restelli	2
+	Q-PrOP: Sample-efficient policy gradient with an off-policy critic	2017	Shixiang Gu Timothy Lillicrap Zoubin Ghahramani Richard E. Turner Sergey Levine	2
+	Representations for Stable Off-Policy Reinforcement Learning	2020	Dibya Ghosh Marc G. Bellemare	2
+	Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity	2018	Simon S. Du Wei Hu	2
+	Safe and Efficient Off-Policy Reinforcement Learning	2016	Rémi Munos Tom Stepleton Anna Harutyunyan Marc G. Bellemare	2
+ PDF Chat	Finite Sample Analyses for TD(0) With Function Approximation	2018	Gal Dalal Balázs Szörényi Gugan Thoppe Shie Mannor	2
+	The optimal reward baseline for gradient-based reinforcement learning	2001	Lex Weaver Nigel Tao	1
+	Gradient Descent Can Take Exponential Time to Escape Saddle Points	2017	Simon S. Du Chi Jin Jason D. Lee Michael I. Jordan Barnabás Póczos Aarti Singh	1
+ PDF Chat	ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification	2017	Rohit Girdhar Deva Ramanan Abhinav Gupta Josef Šivic Bryan Russell	1
+	Stochastic Recursive Gradient Algorithm for Nonconvex Optimization	2017	Lam M. Nguyen Jie Liu Katya Scheinberg Martin Takáč	1
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	1
+	Deep reinforcement learning with double Q-Learning	2016	Hado van Hasselt Arthur Guez David Silver	1
+	Cubic regularization of Newton method and its global performance	2006	Yurii Nesterov B. T. Polyak	1
+	How to Escape Saddle Points Efficiently	2017	Chi Jin Rong Ge Praneeth Netrapalli Sham M. Kakade Michael I. Jordan	1
+	Domain Adaptation for Visual Applications: A Comprehensive Survey	2017	Gabriela Csurka	1
+	Variance Reduction for Reinforcement Learning in Input-Driven Environments	2018	Hongzi Mao Shaileshh Bojja Venkatakrishnan Malte Schwarzkopf Mohammad Alizadeh	1
+	FOR LEAST-SQUARES POLICY ITERATION	2016	Devin Schwab	1
+	Conditional Generative Adversarial Nets	2014	Mehdi Mirza Simon Osindero	1
+	Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition	2015	Rong Ge Furong Huang Chi Jin Yuan Yang	1
+	Finding Local Minima via Stochastic Nested Variance Reduction	2018	Dongruo Zhou Pan Xu Quanquan Gu	1
+	On the Convergence Rate of Stochastic Mirror Descent for Nonsmooth Nonconvex Optimization	2018	Siqi Zhang Niao He	1
+	Combining policy gradient and Q-learning	2016	Brendan O’Donoghue Rémi Munos Koray Kavukcuoglu Volodymyr Mnih	1
+	Convex Analysis and Monotone Operator Theory in Hilbert Spaces	2017	Heinz H. Bauschke Patrick L. Combettes	1
+	SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation	2017	Bo Dai Albert Shaw Lihong Li Lin Xiao Niao He Zhen Liu Jianshu Chen Le Song	1
+	Stochastic Nested Variance Reduction for Nonconvex Optimization	2018	Dongruo Zhou Pan Xu Quanquan Gu	1
+	Neural Architecture Search with Reinforcement Learning	2016	Barret Zoph Quoc V. Le	1
+	SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator	2018	Cong Fang Chris Junchi Li Zhouchen Lin Tong Zhang	1
+	Escaping Saddles with Stochastic Gradients	2018	Hadi Daneshmand Jonas Köhler Aurélien Lucchi Thomas Hofmann	1
+ PDF Chat	Lessons from Natural Language Inference in the Clinical Domain	2018	Alexey Romanov Chaitanya Shivade	1
+	Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities	2018	Yunwen Lei Ke Tang	1
+	A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning	2018	Yang Long Minhao Shi Zheng Qian Wenjia Meng Gang Pan	1