Junyu Zhang

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 81

Top Topics

Gradient Method

Markov Decision Process

Reinforcement Learning

Top Venues

J. Sci. Comput.

Publications

Zheng Yu, Junyu Zhang, Zheng Wen, Andrea Tacchetti, Mengdi Wang, Ian Gemp
Teamwork Reinforcement Learning With Concave Utilities. IEEE Trans. Mob. Comput. 23 (5) (2024)
Junyu Zhang, Mingyi Hong
First-Order Algorithms Without Lipschitz Gradient: A Sequential Local Optimization Approach. INFORMS J. Optim. 6 (2) (2024)
Chenyu Zhou, Hongzhou Chen, Hao Wu, Junyu Zhang, Wei Cai
ARTEMIS: Detecting Airdrop Hunters in NFT Markets with a Graph Learning System. WWW (2024)
Yang Feng, Zhaohui Sun, Chengcheng Wang, Xinyi Guo, Junyao Mei, Yueran Qi, Jing Liu, Junyu Zhang, Jixuan Wu, Xuepeng Zhan, Jiezhi Chen
Operation Scheme Optimizations to Achieve Ultra-high Endurance (1010) in Flash Memory with Robust Reliabilities. CoRR (2024)
Dongyang Li, Haobin Li, Junyu Zhang
General Procedure to Provide High-Probability Guarantees for Stochastic Saddle Point Problems. J. Sci. Comput. 100 (1) (2024)
Cui Chen, Zuping Zhang, Panrui Tang, Junyu Zhang
Nebnet: Exploiting Node-Edge Bi-Level Network for Gene Expression Prediction. ICASSP (2024)
Zhifa Ke, Zaiwen Wen, Junyu Zhang
An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks. CoRR (2024)
Heng Dong, Junyu Zhang, Chongjie Zhang
Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design. ICLR (2024)
Liang Pan, Jingbo Wang, Buzhen Huang, Junyu Zhang, Haofan Wang, Xu Tang, Yangang Wang
Synthesizing Physically Plausible Human Motions in 3D Scenes. 3DV (2024)
Yiting Wu, Junyu Zhang, Song Huang
Stationary Almost Markov ε-Equilibria for Discounted Stochastic Games with Borel Spaces and Unbounded Payoffs. J. Syst. Sci. Complex. 37 (4) (2024)
Xiaohong Diao, Linru Jiang, Tian Gao, Liang Zhang, Junyu Zhang, Longfei Wang, Qizhi Wu
Research on Electric Vehicle Charging Safety Warning Based on A-LSTM Algorithm. IEEE Access 11 (2023)
Tianyi Zhang, Dengji Zhao, Junyu Zhang, Sizhe Gu
Connection Incentives in Cost Sharing Mechanisms with Budgets. CoRR (2023)
Tianyi Zhang, Dengji Zhao, Junyu Zhang, Sizhe Gu
Cost Sharing under Private Costs and Connection Control on Directed Acyclic Graphs. CoRR (2023)
Tianyi Zhang, Dengji Zhao, Junyu Zhang, Sizhe Gu
Cost Sharing under Private Costs and Connection Control on Directed Acyclic Graphs. DAI (2023)
Kun Zhang, Haiyang Liu, Xu Zheng, Xiaoxin Xu, Hongyang Hu, Junyu Zhang
High-speed and low-power embedded TEC BCH scheme for ReRAM array. IEICE Electron. Express 20 (15) (2023)
Junyu Zhang, Mengdi Wang, Mingyi Hong, Shuzhong Zhang
Primal-Dual First-Order Methods for Affinely Constrained Multi-block Saddle Point Problems. SIAM J. Optim. 33 (2) (2023)
Jianhao Wang, Jin Zhang, Haozhe Jiang, Junyu Zhang, Liwei Wang, Chongjie Zhang
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation. CoRR (2023)
Heng Dong, Junyu Zhang, Tonghan Wang, Chongjie Zhang
Symmetry-Aware Robot Design with Structured Subgroups. ICML (2023)
Yuwei Wang, Yuanying Qiu, Peitao Cheng, Junyu Zhang
Hybrid CNN-Transformer Features for Visual Place Recognition. IEEE Trans. Circuits Syst. Video Technol. 33 (3) (2023)
Jianhao Wang, Jin Zhang, Haozhe Jiang, Junyu Zhang, Liwei Wang, Chongjie Zhang
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation. ICML (2023)
Junyu Zhang, Daochang Liu, Shichao Zhang, Chang Xu
Contrastive Sampling Chains in Diffusion Models. NeurIPS (2023)
Zhenyuan Zhu, Fan Chen, Junyu Zhang, Zaiwen Wen
A Unified Primal-Dual Algorithm Framework for Inequality Constrained Problems. J. Sci. Comput. 97 (2) (2023)
Liang Pan, Jingbo Wang, Buzhen Huang, Junyu Zhang, Haofan Wang, Xu Tang, Yangang Wang
Synthesizing Physically Plausible Human Motions in 3D Scenes. CoRR (2023)
Tianyi Zhang, Dengji Zhao, Junyu Zhang, Sizhe Gu
Connection Incentives in Cost Sharing Mechanisms with Budgets. DAI (2023)
Yuwei Wang, Yuanying Qiu, Peitao Cheng, Junyu Zhang
Transformer-based descriptors with fine-grained region supervisions for visual place recognition. Knowl. Based Syst. 280 (2023)
Heng Dong, Junyu Zhang, Tonghan Wang, Chongjie Zhang
Symmetry-Aware Robot Design with Structured Subgroups. CoRR (2023)
Junyu Zhang, Chen Gong, Shangbin Li, Jinkang Zhu
Design and Optimization of Communication System Based on Superconducting Three-Energy-Level System. J. Commun. Inf. Networks 8 (1) (2023)
Yang Feng, Bing Chen, Mingfeng Tang, Yuerang Qi, Maoying Bai, Chengcheng Wang, Hai Wang, Xuepeng Zhan, Junyu Zhang, Jing Liu, Jixuan Wu, Jiezhi Chen
Near-threshold-voltage operation in flash-based high-precision computing-in-memory to implement Poisson image editing. Sci. China Inf. Sci. 66 (12) (2023)
Tianyi Zhang, Junyu Zhang, Sizhe Gu, Dengji Zhao
Cost Sharing under Private Valuation and Connection Control. AAMAS (2023)
Heng Dong, Junyu Zhang, Chongjie Zhang
Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design. CoRR (2023)
Tianyi Zhang, Junyu Zhang, Sizhe Gu, Dengji Zhao
Cost Sharing under Private Valuation and Connection Control. CoRR (2023)
Zhifa Ke, Zaiwen Wen, Junyu Zhang
Provably Efficient Gauss-Newton Temporal Difference Learning Method with Function Approximation. CoRR (2023)
Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel
Multi-Agent Reinforcement Learning with General Utilities via Decentralized Shadow Reward Actor-Critic. AAAI (2022)
Junyu Zhang, Mingyi Hong, Shuzhong Zhang
On lower iteration complexity bounds for the convex concave saddle point problems. Math. Program. 194 (1) (2022)
Xinrong Hu, Junyu Zhang, Jin Huang, Jinxing Liang, Feng Yu, Tao Peng
Virtual try-on based on attention U-Net. Vis. Comput. 38 (9) (2022)
Fan Chen, Junyu Zhang, Zaiwen Wen
A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP. NeurIPS (2022)
Jason Eisdorfer, Dominick Cartagena, Ryan Luly, Nhan Ly, James Fanning, Hingyang Wei, Junyu Zhang, Guangyan Chen
A Platform for Effectively Learning Chinese As a Foreign Language. IST (2022)
Tianyi Zhang, Dengji Zhao, Junyu Zhang, Sizhe Gu
Cost Sharing for Connectivity with Budget. CoRR (2022)
Fan Chen, Junyu Zhang, Zaiwen Wen
A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP. CoRR (2022)
Junyu Zhang, Lin Xiao
Stochastic variance-reduced prox-linear algorithms for nonconvex composite optimization. Math. Program. 195 (1) (2022)
Kevin Huang, Junyu Zhang, Shuzhong Zhang
Cubic Regularized Newton Method for the Saddle Point Models: A Global and Local Convergence Analysis. J. Sci. Comput. 91 (2) (2022)
Junyu Zhang, Xiaojing Zhang, Hangming Xiong, Weijie Yu, Keiing Ying, Hao Wan, Ping Wang
The Love Wave Biosensor for the Detection of the Bacterial Pneumonia Biomarker C-reactive Protein. ISOEN (2022)
Mingyi Hong, Siliang Zeng, Junyu Zhang, Haoran Sun
On the Divergence of Decentralized Nonconvex Optimization. SIAM J. Optim. 32 (4) (2022)
Junyu Zhang, Lin Xiao, Shuzhong Zhang
Adaptive Stochastic Variance Reduction for Subsampled Newton Method with Cubic Regularization. INFORMS J. Optim. 4 (1) (2022)
Hongyang Hu, Zi Wang, Xiaoxin Xu, Kai Xi, Kun Zhang, Junyu Zhang, Chunmeng Dou
A 55nm 32Mb Digital Flash CIM Using Compressed LUT Multiplier and Low Power WL Voltage Trimming Scheme for AI Edge Inference. APCCAS (2022)
Junyu Zhang, Chengzhuo Ni, Zheng Yu, Csaba Szepesvári, Mengdi Wang
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method. NeurIPS (2021)
Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel
MARL with General Utilities via Decentralized Shadow Reward Actor-Critic. CoRR (2021)
Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel
Beyond Cumulative Returns via Reinforcement Learning over State-Action Occupancy Measures. ACC (2021)
Junyu Zhang, Fahui Wu, Yutao Zhu, Lin Xiao, Dingcheng Yang
Joint trajectory and power optimization for mobile jammer-aided secure UAV relay network. Veh. Commun. 30 (2021)
Junyu Zhang, Yichen Zhang, Ziyong Zheng, Ziyang Chen, Bingjie Xu, Song Yu
Finite-size analysis of continuous variable source-independent quantum random number generation. Quantum Inf. Process. 20 (1) (2021)
Junyu Zhang, Mingyi Hong, Mengdi Wang, Shuzhong Zhang
Generalization Bounds for Stochastic Saddle Point Problems. AISTATS (2021)
Damek Davis, Dmitriy Drusvyatskiy, Lin Xiao, Junyu Zhang
From Low Probability to High Confidence in Stochastic Convex Optimization. J. Mach. Learn. Res. 22 (2021)
Amrit Singh Bedi, Anjaly Parayil, Junyu Zhang, Mengdi Wang, Alec Koppel
On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control. CoRR (2021)
Junyu Zhang, Chen Gong, Shangbin Li, Shanchi Wu, Rui Ni, Chengjie Zuo, Jinkang Zhu, Ming Zhao, Zhengyuan Xu
Quantumized Microwave Detection Based on Λ-Type Three-Level Superconducting System: HMM Modeling and Performance Prediction. IEEE Trans. Commun. 69 (11) (2021)
Xinrong Hu, Junyu Zhang, Tao Peng, Mingfu Xiong, Feng Yu, Li Li, Min Li
Cascaded Cross-Domain Fusion of Virtual Try-On. BIBM (2021)
Junyu Zhang, Liangjie Ou
Design of Intelligent Flower Watering System Based on STC89C52 SCM. ICCIR (2021)
Amrit Singh Bedi, Alec Koppel, Mengdi Wang, Junyu Zhang
Intermittent Communications in Decentralized Shadow Reward Actor-Critic. CDC (2021)
Junyu Zhang, Lin Xiao
MultiLevel Composite Stochastic Optimization via Nested Variance Reduction. SIAM J. Optim. 31 (2) (2021)
Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel
Cautious Reinforcement Learning via Distributional Risk in the Dual Domain. IEEE J. Sel. Areas Inf. Theory 2 (2) (2021)
Junyu Zhang, Chengzhuo Ni, Zheng Yu, Csaba Szepesvári, Mengdi Wang
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method. CoRR (2021)
Junyu Zhang, Xianping Guo, Li Xia
Zero-sum risk-sensitive continuous-time stochastic games with unbounded payoff and transition rates and Borel spaces. CoRR (2021)
Shanchi Wu, Chen Gong, Chengjie Zuo, Shangbin Li, Junyu Zhang, Zhongbin Dai, Kai Yang, Ming Zhao, Rui Ni, Zhengyuan Xu, Jinkang Zhu
Weak Radio-Frequency Signal Detection Based on Piezo-Opto-Electro-Mechanical System: Architecture Design and Sensitivity Prediction. IEEE Internet Things J. 8 (12) (2021)
Junyu Zhang, Shiqian Ma, Shuzhong Zhang
Primal-dual optimization algorithms over Riemannian manifolds: an iteration complexity analysis. Math. Program. 184 (1) (2020)
Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel
Cautious Reinforcement Learning via Distributional Risk in the Dual Domain. CoRR (2020)
Junyu Zhang, Alec Koppel, Amrit Singh Bedi, Csaba Szepesvári, Mengdi Wang
Variational Policy Gradient Method for Reinforcement Learning with General Utilities. NeurIPS (2020)
Liu Yang, Junyu Zhang, Tingxuan Chen, Wuji Lei, Xiaolong Liu
Predicting Residual Stress by Finding Peak Shape Using Artificial Neural Networks. ISPA/BDCloud/SocialCom/SustainCom (2020)
Liu Yang, Tingxuan Chen, Junyu Zhang, Jun Long, Zhigang Hu, Victor S. Sheng
Fruited-Forest: A Reachability Querying Method Based on Spanning Tree Modelling of Reduced DAG. APWeb/WAIM (1) (2020)
Mingyi Hong, Siliang Zeng, Junyu Zhang, Haoran Sun
On the Divergence of Decentralized Non-Convex Optimization. CoRR (2020)
Linnan Wang, Wei Wu, Junyu Zhang, Hang Liu, George Bosilca, Maurice Herlihy, Rodrigo Fonseca
FFT-based Gradient Sparsification for the Distributed Training of Deep Neural Networks. HPDC (2020)
Junyu Zhang, Alec Koppel, Amrit Singh Bedi, Csaba Szepesvári, Mengdi Wang
Variational Policy Gradient Method for Reinforcement Learning with General Utilities. CoRR (2020)
Junyu Zhang, Lin Xiao
A Composite Randomized Incremental Gradient Method. ICML (2019)
Junyu Zhang, Lin Xiao
A Stochastic Composite Gradient Method with Incremental Variance Reduction. NeurIPS (2019)
Xianping Guo, Junyu Zhang
Risk-sensitive continuous-time Markov decision processes with unbounded rates and Borel spaces. Discret. Event Dyn. Syst. 29 (4) (2019)
Linnan Wang, Wei Wu, Yiyang Zhao, Junyu Zhang, Hang Liu, George Bosilca, Jack J. Dongarra, Maurice Herlihy, Rodrigo Fonseca
SuperNeurons: FFT-based Gradient Sparsification in the Distributed Training of Deep Neural Networks. CoRR (2018)
Jason L. Causey, Junyu Zhang, Shiqian Ma, Bo Jiang, Jake A. Qualls, David G. Politte, Fred W. Prior, Shuzhong Zhang, Xiuzhen Huang
Highly accurate model for prediction of lung nodule malignancy with CT scans. CoRR (2018)
Junyu Zhang, Haoyang Liu, Zaiwen Wen, Shuzhong Zhang
A Sparse Completely Positive Relaxation of the Modularity Maximization for Community Detection. SIAM J. Sci. Comput. 40 (5) (2018)
Junyu Zhang, Haoyang Liu, Zaiwen Wen, Shuzhong Zhang
A Sparse Completely Positive Relaxation of the Modularity Maximization for Community Detection. CoRR (2017)
Junyu Zhang, Zaiwen Wen, Yin Zhang
Subspace Methods with Local Refinements for Eigenvalue Computation Using Low-Rank Tensor-Train Format. J. Sci. Comput. 70 (2) (2017)
Junyu Zhang
A special case of partially observable Markov decision processes problem by event-based optimization. ICIT (2016)
Kai Xu, Yifei Shi, Lintao Zheng, Junyu Zhang, Min Liu, Hui Huang, Hao Su, Daniel Cohen-Or, Baoquan Chen
3D attention-driven depth acquisition for object identification. ACM Trans. Graph. 35 (6) (2016)
Xiao Wu, Junyu Zhang
Finite approximation of the first passage models for discrete-time Markov decision processes with varying discount factors. Discret. Event Dyn. Syst. 26 (4) (2016)
Junyu Zhang, Xi-Ren Cao
Continuous-time Markov decision processes with nth-bias optimality criteria. Autom. 45 (7) (2009)
Xianping Guo, XinYuan Song, Junyu Zhang
Bias optimality for multichain continuous-time Markov decision processes. Oper. Res. Lett. 37 (5) (2009)
Xi-Ren Cao, Junyu Zhang
The n th-Order Bias Optimality for Multichain Markov Decision Processes. IEEE Trans. Autom. Control. 53 (2) (2008)
Xi-Ren Cao, Junyu Zhang
Event-Based Optimization of Markov Systems. IEEE Trans. Autom. Control. 53 (4) (2008)