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We stand with Ukraine

Honghao Wei

Orcid: 0000-0002-1131-326X

According to our database¹, Honghao Wei authored at least 32 papers between 2014 and 2026.

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

2026

Scalable and Sample Efficient Distributed Policy Gradient Algorithms in Multi-Agent Networked Systems.

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IEEE Trans. Netw., 2026

Towards Fast Safe Online Reinforcement Learning via Policy Finetuning.

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Trans. Mach. Learn. Res., 2026

Safe Reinforcement Learning for Trustworthy AI: Theory, Algorithms, and Applications.

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

An Optimistic Algorithm for online CMDPS with Anytime Adversarial Constraints.

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Proceedings of the Forty-second International Conference on Machine Learning, 2025

DATA: Domain-And-Time Alignment for High-Quality Feature Fusion in Collaborative Perception.

[DOI]

Chengchang Tian

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

HGSFusion: Radar-Camera Fusion with Hybrid Generation and Synchronization for 3D Object Detection.

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Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning.

[DOI]

Yassine Chemingui

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Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Principle, Design, and Analysis of a Novel Discrete Pulse Control for Single-Phase Voltage Source Inverter.

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IEEE Trans. Ind. Electron., June, 2024

A Reinforcement Learning and Prediction-Based Lookahead Policy for Vehicle Repositioning in Online Ride-Hailing Systems.

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Zhiwei (Tony) Qin

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IEEE Trans. Intell. Transp. Syst., February, 2024

Marvel: Accelerating Safe Online Reinforcement Learning with Finetuned Offline Policy.

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CoRR, 2024

Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization.

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CoRR, 2024

Adversarially Trained Actor Critic for offline CMDPs.

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CoRR, 2024

Reinforcement Learning from Human Feedback without Reward Inference: Model-Free Algorithm and Instance-Dependent Analysis.

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RLJ, 2024

Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs under Partial Data Coverage.

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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning.

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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Optimistic Joint Flow Control and Link Scheduling with Unknown Utility Functions.

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Proceedings of the Twenty-fifth International Symposium on Theory, 2024

Safe Reinforcement Learning with Instantaneous Constraints: The Role of Aggressive Exploration.

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Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Discrete Average Current Mode Control CCM Boost PFC Converter With Hybrid Pulse Train Modulation and Dual Edge Modulation.

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IEEE Trans. Ind. Electron., October, 2023

Model-Free, Regret-Optimal Best Policy Identification in Online CMDPs.

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CoRR, 2023

Sample Efficient Reinforcement Learning in Mixed Systems through Augmented Samples and Its Applications to Queueing Networks.

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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Provably Efficient Model-Free Algorithms for Non-stationary CMDPs.

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Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Online Convex Optimization with Hard Constraints: Towards the Best of Two Worlds and Beyond.

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Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On low-complexity quickest intervention of mutated diffusion processes through local approximation.

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Proceedings of the MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, Republic of Korea, October 17, 2022

Triple-Q: A Model-Free Algorithm for Constrained Reinforcement Learning with Sublinear Regret and Zero Constraint Violation.

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Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes.

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Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Provably-Efficient Model-Free Algorithm for Constrained Markov Decision Processes.

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CoRR, 2021

FORK: A FORward-looKing Actor for Model-Free Reinforcement Learning.

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

2019

QuickStop: A Markov Optimal Stopping Approach for Quickest Misinformation Detection.

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Proceedings of the Abstracts of the 2019 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems, 2019

2017

Beyond the Words: Predicting User Personality from Heterogeneous Information.

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Nicholas Jing Yuan

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Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

2016

Immersive Recommendation: News and Event Recommendations Using Personal Digital Traces.

[DOI]

Cheng-Kang Hsieh

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Proceedings of the 25th International Conference on World Wide Web, 2016

GroupLink: Group Event Recommendations Using Personal Digital Traces.

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Cheng-Kang Hsieh

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Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing, 2016

2014

Predicting Health Care Risk with Big Data Drawn from Clinical Physiological Parameters.

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Proceedings of the Social Media Processing - Third National Conference, 2014

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