Junyu Zhang

发表

Continuous-time Markov decision processes with nth-bias optimality criteria

Xi-Ren Cao, Junyu Zhang, Xi-Ren Cao, 2009, Autom..

Primal-dual optimization algorithms over Riemannian manifolds: an iteration complexity analysis

Shiqian Ma, Shuzhong Zhang, Junyu Zhang, 2017, Mathematical Programming.

A special case of partially observable Markov decision processes problem by event-based optimization

Junyu Zhang, Junyu Zhang, 2016, 2016 IEEE International Conference on Industrial Technology (ICIT).

Risk-sensitive continuous-time Markov decision processes with unbounded rates and Borel spaces

Xianping Guo, Junyu Zhang, 2019, Discret. Event Dyn. Syst..

Finite approximation of the first passage models for discrete-time Markov decision processes with varying discount factors

Xiao Wu, Junyu Zhang, Junyu Zhang, 2016, Proceeding of the 11th World Congress on Intelligent Control and Automation.

Subspace Methods with Local Refinements for Eigenvalue Computation Using Low-Rank Tensor-Train Format

Yin Zhang, Zaiwen Wen, Junyu Zhang, 2017, J. Sci. Comput..

A Composite Randomized Incremental Gradient Method

Lin Xiao, Junyu Zhang, 2019, ICML.

Discussion on A Survey of Recent Results on Continuous-Time Markov Decision Processes

Xi-Ren Cao, Junyu Zhang, 2006 .

Cautious Reinforcement Learning via Distributional Risk in the Dual Domain pdf

Alec Koppel, Mengdi Wang, Amrit Singh Bedi, 2020, IEEE Journal on Selected Areas in Information Theory.

Event-Based Optimization of Markov Systems

Xi-Ren Cao, Junyu Zhang, Xi-Ren Cao, 2008, IEEE Transactions on Automatic Control.

A Stochastic Composite Gradient Method with Incremental Variance Reduction

Junyu Zhang, Lin Xiao, Lin Xiao, 2019, NeurIPS.

Study of Employment Salary Forecast using KNN Algorithm

Jinyong Cheng, Junyu Zhang, Junyu Zhang, 2019, Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019).

SuperNeurons: FFT-based Gradient Sparsification in the Distributed Training of Deep Neural Networks pdf

George Bosilca, Maurice Herlihy, Jack J. Dongarra, 2018, ArXiv.

A Sparse Completely Positive Relaxation of the Modularity Maximization for Community Detection

Shuzhong Zhang, Zaiwen Wen, Junyu Zhang, 2017, SIAM J. Sci. Comput..

3D attention-driven depth acquisition for object identification

Hao Su, Daniel Cohen-Or, Kai Xu, 2016, ACM Trans. Graph..

The $n$th-Order Bias Optimality for Multichain Markov Decision Processes

Xi-Ren Cao, Junyu Zhang, Xi-Ren Cao, 2008, IEEE Transactions on Automatic Control.

Performance optimization of Markov systems based on sensitivity

Junyu Zhang, 2006 .

Variational Policy Gradient Method for Reinforcement Learning with General Utilities pdf

Alec Koppel, Mengdi Wang, Amrit Singh Bedi, 2020, NeurIPS.

Bias optimality for multichain continuous-time Markov decision processes

Xianping Guo, Junyu Zhang, XinYuan Song, 2009, Oper. Res. Lett..