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ORCIDJunyu Zhang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j37]Junyu Zhang
, Mingyi Hong:
First-Order Algorithms Without Lipschitz Gradient: A Sequential Local Optimization Approach. INFORMS J. Optim. 6(2): 118-136 (2024)- [j36]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. J. Mach. Learn. Res. 25: 39:1-39:58 (2024) - [j35]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): 1672-1684 (2024) - [j34]Dongyang Li, Haobin Li, Junyu Zhang:
General Procedure to Provide High-Probability Guarantees for Stochastic Saddle Point Problems. J. Sci. Comput. 100(1): 13 (2024) - [j33]Nuozhou Wang, Junyu Zhang, Shuzhong Zhang:
Efficient First Order Method for Saddle Point Problems with Higher Order Smoothness. SIAM J. Optim. 34(4): 3342-3370 (2024) - [j32]Zheng Yu, Junyu Zhang, Zheng Wen, Andrea Tacchetti, Mengdi Wang, Ian Gemp:
Teamwork Reinforcement Learning With Concave Utilities. IEEE Trans. Mob. Comput. 23(5): 5709-5721 (2024) - [c32]Liang Pan, Jingbo Wang, Buzhen Huang, Junyu Zhang, Haofan Wang, Xu Tang, Yangang Wang:
Synthesizing Physically Plausible Human Motions in 3D Scenes. 3DV 2024: 1498-1507 - [c31]Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu:
Residual Learning in Diffusion Models. CVPR 2024: 7289-7299 - [c30]Junyu Zhang, Pengfei Chen, Zilong He, Hongyang Chen, Xiaoyun Li:
Real-Time Intrusion Detection and Prevention with Neural Network in Kernel Using eBPF. DSN 2024: 416-428 - [c29]Cui Chen, Zuping Zhang, Panrui Tang, Junyu Zhang:
Nebnet: Exploiting Node-Edge Bi-Level Network for Gene Expression Prediction. ICASSP 2024: 4885-4889 - [c28]Heng Dong, Junyu Zhang, Chongjie Zhang:
Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design. ICLR 2024 - [c27]Zhifa Ke, Zaiwen Wen, Junyu Zhang:
An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks. ICML 2024 - [c26]Fuyun He, Haixing Song, Guanglian Li, Junyu Zhang:
DCF-Net: A Dual-Coding Fusion Network based on CNN and Transformer for Biomedical Image Segmentation. IJCNN 2024: 1-9 - [c25]Chenyu Zhou, Hongzhou Chen, Hao Wu, Junyu Zhang, Wei Cai:
ARTEMIS: Detecting Airdrop Hunters in NFT Markets with a Graph Learning System. WWW 2024: 1824-1834 - [i23]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 abs/2401.08120 (2024) - [i22]Zhifa Ke, Zaiwen Wen, Junyu Zhang:
An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks. CoRR abs/2405.04017 (2024) - [i21]Junyu Zhang, Yao Zhang, Yaoxin Ge, Dengji Zhao, Hu Fu, Zhihao Gavin Tang, Pinyan Lu:
Incentives for Early Arrival in Cost Sharing. CoRR abs/2410.18586 (2024) - [i20]Chengke Zou, Xingang Guo, Rui Yang, Junyu Zhang, Bin Hu, Huan Zhang:
DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models. CoRR abs/2411.00836 (2024) - 2023
- [j31]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: 55081-55093 (2023) - [j30]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) - [j29]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): 20230193 (2023) - [j28]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): 57-70 (2023) - [j27]Zhenyuan Zhu, Fan Chen, Junyu Zhang, Zaiwen Wen:
A Unified Primal-Dual Algorithm Framework for Inequality Constrained Problems. J. Sci. Comput. 97(2): 39 (2023) - [j26]Yuwei Wang, Yuanying Qiu, Peitao Cheng, Junyu Zhang:
Transformer-based descriptors with fine-grained region supervisions for visual place recognition. Knowl. Based Syst. 280: 110993 (2023) - [j25]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): 1035-1060 (2023) - [j24]Yuwei Wang, Yuanying Qiu, Peitao Cheng, Junyu Zhang:
Hybrid CNN-Transformer Features for Visual Place Recognition. IEEE Trans. Circuits Syst. Video Technol. 33(3): 1109-1122 (2023) - [c24]Tianyi Zhang, Junyu Zhang, Sizhe Gu, Dengji Zhao:
Cost Sharing under Private Valuation and Connection Control. AAMAS 2023: 2161-2169 - [c23]Tianyi Zhang, Dengji Zhao, Junyu Zhang, Sizhe Gu:
Cost Sharing under Private Costs and Connection Control on Directed Acyclic Graphs. DAI 2023: 1:1-1:9 - [c22]Tianyi Zhang, Dengji Zhao, Junyu Zhang, Sizhe Gu:
Connection Incentives in Cost Sharing Mechanisms with Budgets. DAI 2023: 3:1-3:9 - [c21]Heng Dong, Junyu Zhang, Tonghan Wang, Chongjie Zhang:
Symmetry-Aware Robot Design with Structured Subgroups. ICML 2023: 8334-8355 - [c20]Jianhao Wang, Jin Zhang, Haozhe Jiang, Junyu Zhang, Liwei Wang, Chongjie Zhang:
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation. ICML 2023: 36626-36669 - [c19]Junyu Zhang, Daochang Liu, Shichao Zhang, Chang Xu:
Contrastive Sampling Chains in Diffusion Models. NeurIPS 2023 - [i19]Zhifa Ke, Zaiwen Wen, Junyu Zhang:
Provably Efficient Gauss-Newton Temporal Difference Learning Method with Function Approximation. CoRR abs/2302.13087 (2023) - [i18]Tianyi Zhang, Junyu Zhang, Sizhe Gu, Dengji Zhao:
Cost Sharing under Private Valuation and Connection Control. CoRR abs/2303.03083 (2023) - [i17]Jianhao Wang, Jin Zhang, Haozhe Jiang, Junyu Zhang, Liwei Wang, Chongjie Zhang:
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation. CoRR abs/2305.19529 (2023) - [i16]Heng Dong, Junyu Zhang, Tonghan Wang, Chongjie Zhang:
Symmetry-Aware Robot Design with Structured Subgroups. CoRR abs/2306.00036 (2023) - [i15]Liang Pan, Jingbo Wang, Buzhen Huang, Junyu Zhang, Haofan Wang, Xu Tang, Yangang Wang:
Synthesizing Physically Plausible Human Motions in 3D Scenes. CoRR abs/2308.09036 (2023) - [i14]Heng Dong, Junyu Zhang, Chongjie Zhang:
Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design. CoRR abs/2311.00462 (2023) - [i13]Tianyi Zhang, Dengji Zhao, Junyu Zhang, Sizhe Gu:
Cost Sharing under Private Costs and Connection Control on Directed Acyclic Graphs. CoRR abs/2311.08903 (2023) - [i12]Tianyi Zhang, Dengji Zhao, Junyu Zhang, Sizhe Gu:
Connection Incentives in Cost Sharing Mechanisms with Budgets. CoRR abs/2311.08911 (2023) - 2022
- [j23]Junyu Zhang, Lin Xiao, Shuzhong Zhang:
Adaptive Stochastic Variance Reduction for Subsampled Newton Method with Cubic Regularization. INFORMS J. Optim. 4(1): 45-64 (2022) - [j22]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): 60 (2022) - [j21]Junyu Zhang, Mingyi Hong, Shuzhong Zhang:
On lower iteration complexity bounds for the convex concave saddle point problems. Math. Program. 194(1): 901-935 (2022) - [j20]Junyu Zhang, Lin Xiao:
Stochastic variance-reduced prox-linear algorithms for nonconvex composite optimization. Math. Program. 195(1): 649-691 (2022) - [j19]Mingyi Hong, Siliang Zeng, Junyu Zhang, Haoran Sun:
On the Divergence of Decentralized Nonconvex Optimization. SIAM J. Optim. 32(4): 2879-2908 (2022) - [j18]Xinrong Hu, Junyu Zhang, Jin Huang, Jinxing Liang, Feng Yu, Tao Peng:
Virtual try-on based on attention U-Net. Vis. Comput. 38(9): 3365-3376 (2022) - [c18]Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel:
Multi-Agent Reinforcement Learning with General Utilities via Decentralized Shadow Reward Actor-Critic. AAAI 2022: 9031-9039 - [c17]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: 1-5 - [c16]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: 1-3 - [c15]Jason Eisdorfer, Dominick Cartagena, Ryan Luly, Nhan Ly, James Fanning, Bingyang Wei, Junyu Zhang, Guangyan Chen:
A Platform for Effectively Learning Chinese As a Foreign Language. IST 2022: 1-2 - [c14]Fan Chen, Junyu Zhang, Zaiwen Wen:
A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP. NeurIPS 2022 - [i11]Fan Chen, Junyu Zhang, Zaiwen Wen:
A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP. CoRR abs/2207.06147 (2022) - 2021
- [j17]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): 10085-10102 (2021) - [j16]Damek Davis, Dmitriy Drusvyatskiy, Lin Xiao, Junyu Zhang:
From Low Probability to High Confidence in Stochastic Convex Optimization. J. Mach. Learn. Res. 22: 49:1-49:38 (2021) - [j15]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): 611-626 (2021) - [j14]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): 15 (2021) - [j13]Junyu Zhang, Lin Xiao:
MultiLevel Composite Stochastic Optimization via Nested Variance Reduction. SIAM J. Optim. 31(2): 1131-1157 (2021) - [j12]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): 7192-7204 (2021) - [j11]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: 100357 (2021) - [c13]Junyu Zhang, Mingyi Hong, Mengdi Wang, Shuzhong Zhang:
Generalization Bounds for Stochastic Saddle Point Problems. AISTATS 2021: 568-576 - [c12]Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel:
Beyond Cumulative Returns via Reinforcement Learning over State-Action Occupancy Measures. ACC 2021: 894-901 - [c11]Xinrong Hu, Junyu Zhang, Tao Peng, Mingfu Xiong, Feng Yu, Li Li, Min Li:
Cascaded Cross-Domain Fusion of Virtual Try-On. BIBM 2021: 3370-3377 - [c10]Amrit Singh Bedi, Alec Koppel, Mengdi Wang, Junyu Zhang:
Intermittent Communications in Decentralized Shadow Reward Actor-Critic. CDC 2021: 2613-2620 - [c9]Junyu Zhang, Liangjie Ou:
Design of Intelligent Flower Watering System Based on STC89C52 SCM. ICCIR 2021: 126-130 - [c8]Junyu Zhang, Chengzhuo Ni, Zheng Yu, Csaba Szepesvári, Mengdi Wang:
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method. NeurIPS 2021: 2228-2240 - [i10]Junyu Zhang, Chengzhuo Ni, Zheng Yu, Csaba Szepesvári, Mengdi Wang:
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method. CoRR abs/2102.08607 (2021) - [i9]Junyu Zhang, Xianping Guo, Li Xia:
Zero-sum risk-sensitive continuous-time stochastic games with unbounded payoff and transition rates and Borel spaces. CoRR abs/2103.04057 (2021) - [i8]Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel:
MARL with General Utilities via Decentralized Shadow Reward Actor-Critic. CoRR abs/2106.00543 (2021) - [i7]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 abs/2106.08414 (2021) - 2020
- [j10]Junyu Zhang, Shiqian Ma, Shuzhong Zhang:
Primal-dual optimization algorithms over Riemannian manifolds: an iteration complexity analysis. Math. Program. 184(1): 445-490 (2020) - [c7]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: 145-153 - [c6]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: 113-124 - [c5]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: 633-640 - [c4]Junyu Zhang, Alec Koppel, Amrit Singh Bedi, Csaba Szepesvári, Mengdi Wang:
Variational Policy Gradient Method for Reinforcement Learning with General Utilities. NeurIPS 2020 - [i6]Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel:
Cautious Reinforcement Learning via Distributional Risk in the Dual Domain. CoRR abs/2002.12475 (2020) - [i5]Mingyi Hong, Siliang Zeng, Junyu Zhang, Haoran Sun:
On the Divergence of Decentralized Non-Convex Optimization. CoRR abs/2006.11662 (2020) - [i4]Junyu Zhang, Alec Koppel, Amrit Singh Bedi, Csaba Szepesvári, Mengdi Wang:
Variational Policy Gradient Method for Reinforcement Learning with General Utilities. CoRR abs/2007.02151 (2020)
2010 – 2019
- 2019
- [j9]Xianping Guo, Junyu Zhang:
Risk-sensitive continuous-time Markov decision processes with unbounded rates and Borel spaces. Discret. Event Dyn. Syst. 29(4): 445-471 (2019) - [c3]Junyu Zhang, Lin Xiao:
A Composite Randomized Incremental Gradient Method. ICML 2019: 7454-7462 - [c2]Junyu Zhang, Lin Xiao:
A Stochastic Composite Gradient Method with Incremental Variance Reduction. NeurIPS 2019: 9075-9085 - 2018
- [j8]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): A3091-A3120 (2018) - [i3]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 abs/1802.01756 (2018) - [i2]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 abs/1811.08596 (2018) - 2017
- [j7]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): 478-499 (2017) - [i1]Junyu Zhang, Haoyang Liu, Zaiwen Wen, Shuzhong Zhang:
A Sparse Completely Positive Relaxation of the Modularity Maximization for Community Detection. CoRR abs/1708.01072 (2017) - 2016
- [j6]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): 669-683 (2016) - [j5]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): 238:1-238:14 (2016) - [c1]Junyu Zhang:
A special case of partially observable Markov decision processes problem by event-based optimization. ICIT 2016: 1522-1526
2000 – 2009
- 2009
- [j4]Junyu Zhang, Xi-Ren Cao:
Continuous-time Markov decision processes with nth-bias optimality criteria. Autom. 45(7): 1628-1638 (2009) - [j3]Xianping Guo, XinYuan Song, Junyu Zhang:
Bias optimality for multichain continuous-time Markov decision processes. Oper. Res. Lett. 37(5): 317-321 (2009) - 2008
- [j2]Xi-Ren Cao, Junyu Zhang:
The n th-Order Bias Optimality for Multichain Markov Decision Processes. IEEE Trans. Autom. Control. 53(2): 496-508 (2008) - [j1]Xi-Ren Cao, Junyu Zhang:
Event-Based Optimization of Markov Systems. IEEE Trans. Autom. Control. 53(4): 1076-1082 (2008)
Coauthor Index
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