Guanlin Liu - RankMe

35 papers A* 3B 1Misc 3Journal 23Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Camouflage Adversarial Attacks on Multi-Agent Reinforcement Learning Systems. IEEE Trans. Signal Process. Ziqing Lu, Guanlin Liu, Lifeng Lai, Weiyu Xu
2026	J	`jnl`	PipeMFL-240K: A Large-scale Dataset and Benchmark for Object Detection in Pipeline Magnetic Flux Leakage Imaging. CoRR Tianyi Qu, Songxiao Yang, Haolin Wang, Huadong Song, Xiaoting Guo, Wenguang Hu, Guanlin Liu, Honghe Chen, Yafei Ou
2025	—	`conf`	Adversarial Post-Action Attacks on Dueling Bandits. IEEECONF Mo Lyu, Chenye Yang, Guanlin Liu, Lifeng Lai
2025	J	`jnl`	DNMDR: Dynamic Networks and Multi-view Drug Representations for Safe Medication Recommendation. CoRR Guanlin Liu, Xiaomei Yu, Zihao Liu, Xue Li, Xingxu Fan, Xiangwei Zheng
2025	J	`jnl`	DNMDR: Dynamic networks and multi-view drug representations for safe medication recommendation. Knowl. Based Syst. Guanlin Liu, Xiaomei Yu, Zihao Liu, Shucheng Liu, Xue Li, Xingxu Fan, Xiangwei Zheng
2025	J	`jnl`	Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback. CoRR Wei Shen, Guanlin Liu, Zheng Wu, Ruofei Zhu, Qingping Yang, Chao Xin, Yu Yue, Lin Yan
2025	—	`conf`	Flaming-hot Initiation with Regular Execution Sampling for Large Language Models. NAACL (Findings) Weizhe Chen, Zhicheng Zhang, Guanlin Liu, Renjie Zheng, Wenlei Shi, Chen Dun, Zheng Wu, Xing Jin, Lin Yan
2025	J	`jnl`	Human Feedback Attack on Online RLHF: Attack and Robust Defense. IEEE Trans. Signal Process. Chenye Yang, Mo Lyu, Guanlin Liu, Lifeng Lai
2025	J	`jnl`	Knowledge Distillation with Training Wheels. CoRR Guanlin Liu, Anand Ramachandran, Tanmay Gangwani, Yan Fu, Abhinav Sethy
2025	—	`conf`	Optimal Structure Based Intelligent Precoding Design for Network Massive MIMO Communications. VTC2025-Spring Guanlin Liu, Chen Sun, Xiqi Gao
2024	B	`conf`	Camouflage Adversarial Attacks on Multiple Agent Systems. ISIT Ziqing Lu, Guanlin Liu, Lifeng Lai, Weiyu Xu
2024	J	`jnl`	Camouflage Adversarial Attacks on Multiple Agent Systems. CoRR Ziqing Lu, Guanlin Liu, Lifeng Lai, Weiyu Xu
2024	J	`jnl`	Efficient Action Robust Reinforcement Learning with Probabilistic Policy Execution Uncertainty. Trans. Mach. Learn. Res. Guanlin Liu, Zhihan Zhou, Han Liu, Lifeng Lai
2024	J	`jnl`	Enhancing Multi-Step Reasoning Abilities of Language Models through Direct Q-Function Optimization. CoRR Guanlin Liu, Kaixuan Ji, Renjie Zheng, Zheng Wu, Chen Dun, Quanquan Gu, Lin Yan
2024	J	`jnl`	Flaming-hot Initiation with Regular Execution Sampling for Large Language Models. CoRR Weizhe Chen, Zhicheng Zhang, Guanlin Liu, Renjie Zheng, Wenlei Shi, Chen Dun, Zheng Wu, Xing Jin, Lin Yan
2024	Misc	`conf`	Optimal Cost Constrained Adversarial Attacks for Multiple Agent Systems. CISS Ziqing Lu, Guanlin Liu, Lifeng Lai, Weiyu Xu
2024	J	`jnl`	Process Supervision-Guided Policy Optimization for Code Generation. CoRR Ning Dai, Zheng Wu, Renjie Zheng, Ziyun Wei, Wenlei Shi, Xing Jin, Guanlin Liu, Chen Dun, Liang Huang, Lin Yan
2024	A*	`conf`	Risk-Sensitive Reward-Free Reinforcement Learning with CVaR. ICML Xinyi Ni, Guanlin Liu, Lifeng Lai
2024	J	`jnl`	Stochastic Bandits With Non-Stationary Rewards: Reward Attack and Defense. IEEE Trans. Signal Process. Chenye Yang, Guanlin Liu, Lifeng Lai
2024	—	`—`	Towards Adversarial Robustness of Sequential Decision Making Algorithms Guanlin Liu
2024	J	`jnl`	Transformer-based medication recommendation with a multiple graph augmentation strategy. Expert Syst. Appl. Xue Li, Xiaomei Yu, Guanlin Liu, Xingxu Fan, Fengru Ge, Yanjie Zhao, Xiangwei Zheng
2023	J	`jnl`	Action Poisoning Attacks on Linear Contextual Bandits. Trans. Mach. Learn. Res. Guanlin Liu, Lifeng Lai
2023	J	`jnl`	Efficient Action Robust Reinforcement Learning with Probabilistic Policy Execution Uncertainty. CoRR Guanlin Liu, Zhihan Zhou, Han Liu, Lifeng Lai
2023	A*	`conf`	Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning. NeurIPS Guanlin Liu, Lifeng Lai
2023	J	`jnl`	Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning. CoRR Guanlin Liu, Lifeng Lai
2023	—	`conf`	Integration of Artificial Intelligence and Business Administration Professional Education -New Educational and Teaching Model. ICIEAI Guanlin Liu, Zhaoyong Ouyang
2023	J	`jnl`	Optimal Cost Constrained Adversarial Attacks For Multiple Agent Systems. CoRR Ziqing Lu, Guanlin Liu, Lifeng Lai, Weiyu Xu
2023	Misc	`conf`	Reward Attack on Stochastic Bandits with Non-Stationary Rewards. ACSSC Chenye Yang, Guanlin Liu, Lifeng Lai
2021	J	`jnl`	Efficient Action Poisoning Attacks on Linear Contextual Bandits. CoRR Guanlin Liu, Lifeng Lai
2021	A*	`conf`	Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning. NeurIPS Guanlin Liu, Lifeng Lai
2021	J	`jnl`	Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning. CoRR Guanlin Liu, Lifeng Lai
2020	J	`jnl`	Action-Manipulation Attacks Against Stochastic Bandits: Attacks and Defense. CoRR Guanlin Liu, Lifeng Lai
2020	J	`jnl`	Action-Manipulation Attacks Against Stochastic Bandits: Attacks and Defense. IEEE Trans. Signal Process. Guanlin Liu, Lifeng Lai
2020	Misc	`conf`	Action-Manipulation Attacks on Stochastic Bandits. ICASSP Guanlin Liu, Lifeng Lai
2018	J	`jnl`	A highly sensitive, self-powered triboelectric auditory sensor for social robotics and hearing aids. Sci. Robotics Xianjie Pu, Jie Chen, Yan Meng, Min-Hsin Yeh, Guanlin Liu, Qian Tang, Baodong Chen, Di Liu, Song Qi, Changsheng Wu, Chenguo Hu, Jie Wang, Zhong Lin Wang