Wenhao Yang

Orcid: 0000-0001-6228-8917

According to our database1, Wenhao Yang authored at least 39 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Semi-Infinitely Constrained Markov Decision Processes and Provably Efficient Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

A Global Correction Framework for Camera Registration in Video See-Through Augmented Reality Systems.
J. Comput. Inf. Sci. Eng., March, 2024

"I Can See Your Password": A Case Study About Cybersecurity Risks in Mid-Air Interactions of Mixed Reality-Based Smart Manufacturing Applications.
J. Comput. Inf. Sci. Eng., March, 2024

Improving Radiation Reliability of SRAM-Based Physical Unclonable Function With Self-Healing and Pre-Irradiation Masking Techniques.
IEEE Trans. Very Large Scale Integr. Syst., February, 2024

Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A time-varying acoustic channel-aware topology control mechanism for cooperative underwater sonar detection network.
Ad Hoc Networks, October, 2023

A Hierarchical Compliance-Based Contextual Policy Search for Robotic Manipulation Tasks With Multiple Objectives.
IEEE Trans. Ind. Informatics, April, 2023

Estimation and Inference in Distributional Reinforcement Learning.
CoRR, 2023

Non-stationary Projection-free Online Learning with Dynamic and Adaptive Regret Guarantees.
CoRR, 2023

Semi-Infinitely Constrained Markov Decision Processes and Efficient Reinforcement Learning.
CoRR, 2023

Avoiding Model Estimation in Robust Markov Decision Processes with a Generative Model.
CoRR, 2023

Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes.
Proceedings of the International Conference on Machine Learning, 2023

Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice.
Proceedings of the International Conference on Machine Learning, 2023

Anomaly Sound Detection of Industrial Equipment Based on Incremental Learning.
Proceedings of the CAA Symposium on Fault Detection, 2023

A Statistical Analysis of Polyak-Ruppert Averaged Q-Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Channel space weighted fusion-oriented feature pyramid network for motor imagery EEG signal recognition.
EAI Endorsed Trans. Scalable Inf. Syst., 2022

iCGPN: Interaction-centric graph parsing network for human-object interaction detection.
Neurocomputing, 2022

Statistical Estimation of Confounded Linear MDPs: An Instrumental Variable Approach.
CoRR, 2022

KL-Entropy-Regularized RL with a Generative Model is Minimax Optimal.
CoRR, 2022

Pluralistic Image Completion with Probabilistic Mixture-of-Experts.
CoRR, 2022

AnomMAN: Detect Anomaly on Multi-view Attributed Networks.
CoRR, 2022

Semi-infinitely Constrained Markov Decision Processes.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Pluralistic Image Completion with Gaussian Mixture Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Effect of Language Mixture on Speaker Verification: An Investigation with Amharic, English, and Mandarin Chinese.
Proceedings of the Artificial Intelligence and Security - 8th International Conference, 2022

Federated Reinforcement Learning with Environment Heterogeneity.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
A Review of Artificial Intelligence's Neural Networks (Deep Learning) Applications in Medical Diagnosis and Prediction.
IT Prof., 2021

Polyak-Ruppert Averaged Q-Leaning is Statistically Efficient.
CoRR, 2021

Non-asymptotic Performances of Robust Markov Decision Processes.
CoRR, 2021

Sample-Efficiency, Stability and Generalization Analysis for Deep Reinforcement Learning on Robotic Peg-in-Hole Assembly.
Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

Instance Search via Fusing Hierarchical Multi-level Retrieval and Human-object Interaction Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
An Improved Relative GNSS Tracking Method Utilizing Single Frequency Receivers.
Sensors, 2020

An Improved Ambiguity-Free Method for Precise GNSS Positioning with Utilizing Single Frequency Receivers.
Sensors, 2020

Finding the Near Optimal Policy via Adaptive Reduced Regularization in MDPs.
CoRR, 2020

A Novel Precise GNSS Tracking Method Without Solving the Ambiguity Problem.
IEEE Access, 2020

On the Convergence of FedAvg on Non-IID Data.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Communication Efficient Decentralized Training with Multiple Local Updates.
CoRR, 2019

A Unified Framework for Regularized Reinforcement Learning.
CoRR, 2019

A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
A Novel Worm-inspired Wall Climbing Robot with Sucker-microspine Composite Structure.
Proceedings of the 3rd International Conference on Advanced Robotics and Mechatronics, 2018


  Loading...