Junyu Zhang

Chongjie Zhang

CoRR, 2023

Synthesizing Physically Plausible Human Motions in 3D Scenes.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Zhifa Ke

Zaiwen Wen

CoRR, 2023

Research on Electric Vehicle Charging Safety Warning Based on A-LSTM Algorithm.

[BibT_eX]

[DOI]

IEEE Access, 2023

Contrastive Sampling Chains in Diffusion Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Symmetry-Aware Robot Design with Structured Subgroups.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Connection Incentives in Cost Sharing Mechanisms with Budgets.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Distributed Artificial Intelligence, 2023

Cost Sharing under Private Costs and Connection Control on Directed Acyclic Graphs.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Distributed Artificial Intelligence, 2023

Cost Sharing under Private Valuation and Connection Control.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

On the Divergence of Decentralized Nonconvex Optimization.

[BibT_eX]

[DOI]

SIAM J. Optim., December, 2022

Adaptive Stochastic Variance Reduction for Subsampled Newton Method with Cubic Regularization.

[BibT_eX]

[DOI]

INFORMS J. Optim., January, 2022

Virtual try-on based on attention U-Net.

[BibT_eX]

[DOI]

Vis. Comput., 2022

Stochastic variance-reduced prox-linear algorithms for nonconvex composite optimization.

[BibT_eX]

[DOI]

Math. Program., 2022

On lower iteration complexity bounds for the convex concave saddle point problems.

[BibT_eX]

[DOI]

Mingyi Hong

Math. Program., 2022

Cubic Regularized Newton Method for the Saddle Point Models: A Global and Local Convergence Analysis.

[BibT_eX]

[DOI]

Kevin Huang

J. Sci. Comput., 2022

A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP.

[BibT_eX]

[DOI]

Fan Chen

Zaiwen Wen

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Veh. Commun., 2021

Quantumized Microwave Detection Based on Λ-Type Three-Level Superconducting System: HMM Modeling and Performance Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2021

MultiLevel Composite Stochastic Optimization via Nested Variance Reduction.

[BibT_eX]

[DOI]

SIAM J. Optim., 2021

Finite-size analysis of continuous variable source-independent quantum random number generation.

[BibT_eX]

[DOI]

Quantum Inf. Process., 2021

Cautious Reinforcement Learning via Distributional Risk in the Dual Domain.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Inf. Theory, 2021

From Low Probability to High Confidence in Stochastic Convex Optimization.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

Weak Radio-Frequency Signal Detection Based on Piezo-Opto-Electro-Mechanical System: Architecture Design and Sensitivity Prediction.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2021

On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Xianping Guo

Li Xia

CoRR, 2021

On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Liangjie Ou

Proceedings of the ICCIR 2021: International Conference on Control and Intelligent Robotics, 2021

Intermittent Communications in Decentralized Shadow Reward Actor-Critic.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Cascaded Cross-Domain Fusion of Virtual Try-On.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Beyond Cumulative Returns via Reinforcement Learning over State-Action Occupancy Measures.

[BibT_eX]

[DOI]

Proceedings of the 2021 American Control Conference, 2021

Generalization Bounds for Stochastic Saddle Point Problems.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

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

[BibT_eX]

[DOI]

Shiqian Ma

Math. Program., 2020

On the Divergence of Decentralized Non-Convex Optimization.

[BibT_eX]

[DOI]

CoRR, 2020

Variational Policy Gradient Method for Reinforcement Learning with General Utilities.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Xianping Guo

Discret. Event Dyn. Syst., 2019

A Stochastic Composite Gradient Method with Incremental Variance Reduction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

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

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

2017

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

[BibT_eX]

[DOI]

Zaiwen Wen

Yin Zhang

J. Sci. Comput., 2017

2016

3D attention-driven depth acquisition for object identification.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2016

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

[BibT_eX]

[DOI]

Xiao Wu

Discret. Event Dyn. Syst., 2016

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Industrial Technology, 2016

2009

Bias optimality for multichain continuous-time Markov decision processes.

[BibT_eX]

[DOI]

Xianping Guo

XinYuan Song

Oper. Res. Lett., 2009

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

[BibT_eX]

[DOI]

Xi-Ren Cao

Autom., 2009

2008

Event-Based Optimization of Markov Systems.

[BibT_eX]

[DOI]

Xi-Ren Cao

IEEE Trans. Autom. Control., 2008

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

[BibT_eX]

[DOI]

Xi-Ren Cao