Guanlin Liu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025

DNMDR: Dynamic Networks and Multi-view Drug Representations for Safe Medication Recommendation.

[BibT_eX]

[DOI]

CoRR, January, 2025

2024

Towards Adversarial Robustness of Sequential Decision Making Algorithms

[BibT_eX]

[DOI]

Guanlin Liu

PhD thesis, 2024

Stochastic Bandits With Non-Stationary Rewards: Reward Attack and Defense.

[BibT_eX]

[DOI]

Chenye Yang

Guanlin Liu

Lifeng Lai

IEEE Trans. Signal Process., 2024

Transformer-based medication recommendation with a multiple graph augmentation strategy.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

Flaming-hot Initiation with Regular Execution Sampling for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Process Supervision-Guided Policy Optimization for Code Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing Multi-Step Reasoning Abilities of Language Models through Direct Q-Function Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

Camouflage Adversarial Attacks on Multiple Agent Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2024

Risk-Sensitive Reward-Free Reinforcement Learning with CVaR.

[BibT_eX]

[DOI]

Xinyi Ni

Guanlin Liu

Lifeng Lai

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Optimal Cost Constrained Adversarial Attacks for Multiple Agent Systems.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Conference on Information Sciences and Systems, 2024

2023

Action Poisoning Attacks on Linear Contextual Bandits.

[BibT_eX]

[DOI]

Guanlin Liu

Lifeng Lai

Trans. Mach. Learn. Res., 2023

Efficient Action Robust Reinforcement Learning with Probabilistic Policy Execution Uncertainty.

[BibT_eX]

[DOI]

CoRR, 2023

Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning.

[BibT_eX]

[DOI]

Guanlin Liu

Lifeng Lai

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

Integration of Artificial Intelligence and Business Administration Professional Education -New Educational and Teaching Model.

[BibT_eX]

[DOI]

Guanlin Liu

Zhaoyong Ouyang

Proceedings of the 2023 International Conference on Information Education and Artificial Intelligence, 2023

Reward Attack on Stochastic Bandits with Non-Stationary Rewards.

[BibT_eX]

[DOI]

Chenye Yang

Guanlin Liu

Lifeng Lai

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2021

Efficient Action Poisoning Attacks on Linear Contextual Bandits.

[BibT_eX]

[DOI]

Guanlin Liu

Lifeng Lai

CoRR, 2021

Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning.

[BibT_eX]

[DOI]

Guanlin Liu

Lifeng Lai

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Action-Manipulation Attacks Against Stochastic Bandits: Attacks and Defense.

[BibT_eX]

[DOI]

Guanlin Liu

Lifeng Lai

IEEE Trans. Signal Process., 2020

Action-Manipulation Attacks on Stochastic Bandits.

[BibT_eX]

[DOI]

Guanlin Liu

Lifeng Lai

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2018

A highly sensitive, self-powered triboelectric auditory sensor for social robotics and hearing aids.

[BibT_eX]

[DOI]

Sci. Robotics, 2018

Guanlin Liu

Bibliography

Loading...