Junyu Zhang

Orcid: 0000-0002-2631-0192

According to our database1, Junyu Zhang authored at least 78 papers between 2008 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Stationary Almost Markov ε-Equilibria for Discounted Stochastic Games with Borel Spaces and Unbounded Payoffs.
J. Syst. Sci. Complex., August, 2024

General Procedure to Provide High-Probability Guarantees for Stochastic Saddle Point Problems.
J. Sci. Comput., July, 2024

Teamwork Reinforcement Learning With Concave Utilities.
IEEE Trans. Mob. Comput., May, 2024

Efficient First Order Method for Saddle Point Problems with Higher Order Smoothness.
SIAM J. Optim., 2024

On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control.
J. Mach. Learn. Res., 2024

First-Order Algorithms Without Lipschitz Gradient: A Sequential Local Optimization Approach.
INFORMS J. Optim., 2024

DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models.
CoRR, 2024

Incentives for Early Arrival in Cost Sharing.
CoRR, 2024

Operation Scheme Optimizations to Achieve Ultra-high Endurance (1010) in Flash Memory with Robust Reliabilities.
CoRR, 2024

ARTEMIS: Detecting Airdrop Hunters in NFT Markets with a Graph Learning System.
Proceedings of the ACM on Web Conference 2024, 2024

DCF-Net: A Dual-Coding Fusion Network based on CNN and Transformer for Biomedical Image Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2024

An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Nebnet: Exploiting Node-Edge Bi-Level Network for Gene Expression Prediction.
Proceedings of the IEEE International Conference on Acoustics, 2024

Real-Time Intrusion Detection and Prevention with Neural Network in Kernel Using eBPF.
Proceedings of the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2024

Residual Learning in Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Synthesizing Physically Plausible Human Motions in 3D Scenes.
Proceedings of the International Conference on 3D Vision, 2024

2023
Near-threshold-voltage operation in flash-based high-precision computing-in-memory to implement Poisson image editing.
Sci. China Inf. Sci., December, 2023

Transformer-based descriptors with fine-grained region supervisions for visual place recognition.
Knowl. Based Syst., November, 2023

A Unified Primal-Dual Algorithm Framework for Inequality Constrained Problems.
J. Sci. Comput., November, 2023

Primal-Dual First-Order Methods for Affinely Constrained Multi-block Saddle Point Problems.
SIAM J. Optim., June, 2023

Hybrid CNN-Transformer Features for Visual Place Recognition.
IEEE Trans. Circuits Syst. Video Technol., March, 2023

Design and Optimization of Communication System Based on Superconducting Three-Energy-Level System.
J. Commun. Inf. Networks, March, 2023

High-speed and low-power embedded TEC BCH scheme for ReRAM array.
IEICE Electron. Express, 2023

Provably Efficient Gauss-Newton Temporal Difference Learning Method with Function Approximation.
CoRR, 2023

Research on Electric Vehicle Charging Safety Warning Based on A-LSTM Algorithm.
IEEE Access, 2023

Contrastive Sampling Chains in Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Offline Meta Reinforcement Learning with In-Distribution Online Adaptation.
Proceedings of the International Conference on Machine Learning, 2023

Symmetry-Aware Robot Design with Structured Subgroups.
Proceedings of the International Conference on Machine Learning, 2023

Connection Incentives in Cost Sharing Mechanisms with Budgets.
Proceedings of the Fifth International Conference on Distributed Artificial Intelligence, 2023

Cost Sharing under Private Costs and Connection Control on Directed Acyclic Graphs.
Proceedings of the Fifth International Conference on Distributed Artificial Intelligence, 2023

Cost Sharing under Private Valuation and Connection Control.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
On the Divergence of Decentralized Nonconvex Optimization.
SIAM J. Optim., December, 2022

Adaptive Stochastic Variance Reduction for Subsampled Newton Method with Cubic Regularization.
INFORMS J. Optim., January, 2022

Virtual try-on based on attention U-Net.
Vis. Comput., 2022

Stochastic variance-reduced prox-linear algorithms for nonconvex composite optimization.
Math. Program., 2022

On lower iteration complexity bounds for the convex concave saddle point problems.
Math. Program., 2022

Cubic Regularized Newton Method for the Saddle Point Models: A Global and Local Convergence Analysis.
J. Sci. Comput., 2022

A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Platform for Effectively Learning Chinese As a Foreign Language.
Proceedings of the IEEE International Conference on Imaging Systems and Techniques, 2022

The Love Wave Biosensor for the Detection of the Bacterial Pneumonia Biomarker C-reactive Protein.
Proceedings of the IEEE International Symposium on Olfaction and Electronic Nose, 2022

A 55nm 32Mb Digital Flash CIM Using Compressed LUT Multiplier and Low Power WL Voltage Trimming Scheme for AI Edge Inference.
Proceedings of the IEEE Asia Pacific Conference on Circuit and Systems, 2022

Multi-Agent Reinforcement Learning with General Utilities via Decentralized Shadow Reward Actor-Critic.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Joint trajectory and power optimization for mobile jammer-aided secure UAV relay network.
Veh. Commun., 2021

Quantumized Microwave Detection Based on Λ-Type Three-Level Superconducting System: HMM Modeling and Performance Prediction.
IEEE Trans. Commun., 2021

MultiLevel Composite Stochastic Optimization via Nested Variance Reduction.
SIAM J. Optim., 2021

Finite-size analysis of continuous variable source-independent quantum random number generation.
Quantum Inf. Process., 2021

Cautious Reinforcement Learning via Distributional Risk in the Dual Domain.
IEEE J. Sel. Areas Inf. Theory, 2021

From Low Probability to High Confidence in Stochastic Convex Optimization.
J. Mach. Learn. Res., 2021

Weak Radio-Frequency Signal Detection Based on Piezo-Opto-Electro-Mechanical System: Architecture Design and Sensitivity Prediction.
IEEE Internet Things J., 2021

MARL with General Utilities via Decentralized Shadow Reward Actor-Critic.
CoRR, 2021

Zero-sum risk-sensitive continuous-time stochastic games with unbounded payoff and transition rates and Borel spaces.
CoRR, 2021

On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Design of Intelligent Flower Watering System Based on STC89C52 SCM.
Proceedings of the ICCIR 2021: International Conference on Control and Intelligent Robotics, 2021

Intermittent Communications in Decentralized Shadow Reward Actor-Critic.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Cascaded Cross-Domain Fusion of Virtual Try-On.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Beyond Cumulative Returns via Reinforcement Learning over State-Action Occupancy Measures.
Proceedings of the 2021 American Control Conference, 2021

Generalization Bounds for Stochastic Saddle Point Problems.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Primal-dual optimization algorithms over Riemannian manifolds: an iteration complexity analysis.
Math. Program., 2020

On the Divergence of Decentralized Non-Convex Optimization.
CoRR, 2020

Variational Policy Gradient Method for Reinforcement Learning with General Utilities.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Predicting Residual Stress by Finding Peak Shape Using Artificial Neural Networks.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

FFT-based Gradient Sparsification for the Distributed Training of Deep Neural Networks.
Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

Fruited-Forest: A Reachability Querying Method Based on Spanning Tree Modelling of Reduced DAG.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019
Risk-sensitive continuous-time Markov decision processes with unbounded rates and Borel spaces.
Discret. Event Dyn. Syst., 2019

A Stochastic Composite Gradient Method with Incremental Variance Reduction.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Composite Randomized Incremental Gradient Method.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
A Sparse Completely Positive Relaxation of the Modularity Maximization for Community Detection.
SIAM J. Sci. Comput., 2018

SuperNeurons: FFT-based Gradient Sparsification in the Distributed Training of Deep Neural Networks.
CoRR, 2018

Highly accurate model for prediction of lung nodule malignancy with CT scans.
CoRR, 2018

2017
Subspace Methods with Local Refinements for Eigenvalue Computation Using Low-Rank Tensor-Train Format.
J. Sci. Comput., 2017

2016
3D attention-driven depth acquisition for object identification.
ACM Trans. Graph., 2016

Finite approximation of the first passage models for discrete-time Markov decision processes with varying discount factors.
Discret. Event Dyn. Syst., 2016

A special case of partially observable Markov decision processes problem by event-based optimization.
Proceedings of the IEEE International Conference on Industrial Technology, 2016

2009
Bias optimality for multichain continuous-time Markov decision processes.
Oper. Res. Lett., 2009

Continuous-time Markov decision processes with nth-bias optimality criteria.
Autom., 2009

2008
Event-Based Optimization of Markov Systems.
IEEE Trans. Autom. Control., 2008

The n th-Order Bias Optimality for Multichain Markov Decision Processes.
IEEE Trans. Autom. Control., 2008


  Loading...