Quan Liu - RankMe

87 papers A 2B 5C 2Misc 6Journal 47Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dynamic masked attention-based contrastive learning for Multi-Agent Reinforcement Learning. Eng. Appl. Artif. Intell. Yukang Cao, Quan Liu, Hongzhe Liu, Renyang You
2026	J	`jnl`	LECMARL: A cooperative multi-agent reinforcement learning method based on lazy mechanisms and efficient exploration. Neurocomputing Yukang Cao, Quan Liu, Hongzhe Liu, Renyang You
2026	J	`jnl`	Reinforcement learning-based hierarchical control of multi-agent systems under uncertain semi-Markovian switching networks. Inf. Sci. Renyang You, Quan Liu, Shenghui Guo, Zhiming Cui
2025	J	`jnl`	A Comprehensive Review of Multiagent Reinforcement Learning in Video Games. IEEE Trans. Games Zhengyang Li, Qijin Ji, Xinghong Ling, Quan Liu
2025	—	`conf`	A Lyapunov-Based Convex Optimal Control Approach via Input Convex Transformer. ICIC (10) Renyang You, Quan Liu, Shenghui Guo, Zhiming Cui
2025	Misc	`conf`	Diverse Collaboration in Multi-Agent Reinforcement Learning via Self-Adaptive Method. ICASSP Xiang Xue, Quan Liu, Meilong Shi, Yuchao Jin
2025	J	`jnl`	LinFa-Q: Accurate Q-learning with linear function approximation. Neurocomputing Zhechao Wang, Qiming Fu, Jianping Chen, Quan Liu, You Lu, Hongjie Wu, Fuyuan Hu
2025	C	`conf`	Offline-to-Online: Case-Based Knowledge Distillation with Large Language Models for Reinforcement Learning. ICCBR Hongzhe Liu, Quan Liu, Lan Wu, Meilong Shi, Zhiming Cui
2024	B	`conf`	Balanced Subgoals Generation in Hierarchical Reinforcement Learning. SMC Sifeng Tong, Quan Liu
2024	C	`conf`	Deep Deterministic Strategy Gradient Method Using Plot Experience Playback. ICIS Quan Liu, Jun Zhang, Jianxing Zhang, Bofeng Zhang
2024	J	`jnl`	Deep Luenberger observer-based consistency tracking for nonlinear heterogeneous multi-agent systems with uncertain drift dynamics. Knowl. Based Syst. Renyang You, Quan Liu
2024	J	`jnl`	Hierarchical reinforcement learning with unlimited option scheduling for sparse rewards in continuous spaces. Expert Syst. Appl. Zhigang Huang, Quan Liu, Fei Zhu, Lihua Zhang, Lan Wu
2024	B	`conf`	Multi-Agent Self-Motivated Learning via Role Representation. IJCNN Yuchao Jin, Quan Liu
2024	Misc	`conf`	Offline Reinforcement Learning Based on Next State Supervision. ICASSP Jie Yan, Quan Liu, Lihua Zhang
2024	Misc	`conf`	Offline Reinforcement Learning with Generative Adversarial Networks and Uncertainty Estimation. ICASSP Lan Wu, Quan Liu, Lihua Zhang, Zhigang Huang
2024	Misc	`conf`	Offline Reinforcement Learning with Policy Guidance and Uncertainty Estimation. ICASSP Lan Wu, Quan Liu, Lihua Zhang, Zhigang Huang
2024	J	`jnl`	Personalized federated reinforcement learning: Balancing personalization and experience sharing via distance constraint. Expert Syst. Appl. Weicheng Xiong, Quan Liu, Fanzhang Li, Bangjun Wang, Fei Zhu
2024	J	`jnl`	RLUC: Strengthening robustness by attaching constraint considerations to policy network. Expert Syst. Appl. Jianmin Tang, Quan Liu, Fanzhang Li, Fei Zhu
2024	J	`jnl`	Taking complementary advantages: Improving exploration via double self-imitation learning in procedurally-generated environments. Expert Syst. Appl. Hao Lin, Yue He, Fanzhang Li, Quan Liu, Bangjun Wang, Fei Zhu
2023	Misc	`conf`	A Perturbation-Based Policy Distillation Framework with Generative Adversarial Nets. ICASSP Lihua Zhang, Quan Liu, Xiongzhen Zhang, Yapeng Xu
2023	J	`jnl`	A stable actor-critic algorithm for solving robotic tasks with multiple constraints. Frontiers Comput. Sci. Peiyao Zhao, Fei Zhu, Quan Liu, Xinghong Ling
2023	J	`jnl`	Addressing implicit bias in adversarial imitation learning with mutual information. Neural Networks Lihua Zhang, Quan Liu, Fei Zhu, Zhigang Huang
2023	B	`conf`	Cosine Similarity Based Representation Learning for Adversarial Imitation Learning. SMC Xiongzhen Zhang, Quan Liu, Lihua Zhang
2023	—	`conf`	Efficient Collaboration via Interaction Information in Multi-agent System. ICONIP (2) Meilong Shi, Quan Liu, Zhigang Huang
2023	J	`jnl`	Generalized gradient emphasis learning for off-policy evaluation and control with function approximation. Neural Comput. Appl. Jiaqing Cao, Quan Liu, Lan Wu, Qiming Fu, Shan Zhong
2023	J	`jnl`	Hierarchical reinforcement learning with adaptive scheduling for robot control. Eng. Appl. Artif. Intell. Zhigang Huang, Quan Liu, Fei Zhu
2023	Misc	`conf`	Learning Unbiased Rewards with Mutual Information in Adversarial Imitation Learning. ICASSP Lihua Zhang, Quan Liu, Zhigang Huang, Lan Wu
2023	J	`jnl`	Learning fair representations for accuracy parity. Eng. Appl. Artif. Intell. Tangkun Quan, Fei Zhu, Quan Liu, Fanzhang Li
2023	—	`conf`	Self-adaptive Inverse Soft-Q Learning for Imitation. ICONIP (9) Zhuo Wang, Quan Liu, Xiongzhen Zhang
2023	J	`jnl`	Temporal-difference emphasis learning with regularized correction for off-policy evaluation and control. Appl. Intell. Jiaqing Cao, Quan Liu, Lan Wu, Qiming Fu, Shan Zhong
2022	J	`jnl`	Best-in-class imitation: Non-negative positive-unlabeled imitation learning from imperfect demonstrations. Inf. Sci. Lin Zhang, Fei Zhu, Xinghong Ling, Quan Liu
2022	J	`jnl`	Explore the weakness: Instructive exploration adversarial robust reinforcement learning. J. King Saud Univ. Comput. Inf. Sci. Chunyang Wu, Fei Zhu, Quan Liu
2022	J	`jnl`	Improving deep reinforcement learning by safety guarding model via hazardous experience planning. Frontiers Comput. Sci. Pai Peng, Fei Zhu, Xinghong Ling, Peiyao Zhao, Quan Liu
2022	J	`jnl`	Learning fair representations by separating the relevance of potential information. Inf. Process. Manag. Tangkun Quan, Fei Zhu, Xinghong Ling, Quan Liu
2022	B	`conf`	Master-Slave Policy Collaboration for Actor-Critic Methods. IJCNN Xiaomu Li, Quan Liu
2022	J	`jnl`	Vital node searcher: find out critical node measure with deep reinforcement learning. Connect. Sci. Guanting Du, Fei Zhu, Quan Liu
2021	J	`jnl`	ARAIL: Learning to rank from incomplete demonstrations. Inf. Sci. Dayong Xu, Fei Zhu, Quan Liu, Peiyao Zhao
2021	J	`jnl`	Gradient temporal-difference learning for off-policy evaluation using emphatic weightings. Inf. Sci. Jiaqing Cao, Quan Liu, Fei Zhu, Qiming Fu, Shan Zhong
2021	J	`jnl`	Hierarchical Reinforcement Learning With Automatic Sub-Goal Identification. IEEE CAA J. Autom. Sinica Chenghao Liu, Fei Zhu, Quan Liu, Yuchen Fu
2021	J	`jnl`	Improving exploration efficiency of deep reinforcement learning through samples produced by generative model. Expert Syst. Appl. Dayong Xu, Fei Zhu, Quan Liu, Peiyao Zhao
2021	J	`jnl`	Self-guided deep deterministic policy gradient with multi-actor. Neural Comput. Appl. Hongming Chen, Quan Liu, Shan Zhong
2020	J	`jnl`	A resource retrieval method of multimedia recommendation system based on deep learning. Int. J. Auton. Adapt. Commun. Syst. Xiaofei Liu, Fei Zhu, Yuchen Fu, Quan Liu
2020	J	`jnl`	Multi-agent cooperation Q-learning algorithm based on constrained Markov Game. Comput. Sci. Inf. Syst. Yangyang Ge, Fei Zhu, Wei Huang, Peiyao Zhao, Quan Liu
2019	J	`jnl`	Efficient reinforcement learning in continuous state and action spaces with Dyna and policy approximation. Frontiers Comput. Sci. Shan Zhong, Quan Liu, Zongzhang Zhang, Qiming Fu
2019	J	`jnl`	Residual Sarsa algorithm with function approximation. Clust. Comput. Qiming Fu, Wen Hu, Quan Liu, Heng Luo, Lingyao Hu, Jianping Chen
2019	J	`jnl`	SARSA based access control with approximation by TileCoding. Comput. Sci. Inf. Syst. Fei Zhu, Pai Peng, Quan Liu, Yuchen Fu, Shan Zhong
2019	J	`jnl`	Safe Q-Learning Method Based on Constrained Markov Decision Processes. IEEE Access Yangyang Ge, Fei Zhu, Xinghong Ling, Quan Liu
2019	J	`jnl`	一种基于生成对抗网络的强化学习算法 (Reinforcement Learning Algorithm Based on Generative Adversarial Networks). 计算机科学 Jianping Chen, Feng Zou, Quan Liu, Hongjie Wu, Fuyuan Hu, Qiming Fu
2019	J	`jnl`	基于视觉注意力机制的异步优势行动者-评论家算法 (Asynchronous Advantage Actor-Critic Algorithm with Visual Attention Mechanism). 计算机科学 Jie Li, Xinghong Ling, Yuchen Fu, Quan Liu
2018	—	`conf`	Accurate Q-Learning. ICONIP (3) Zhihui Hu, Yubin Jiang, Xinghong Ling, Quan Liu
2018	—	`conf`	Deep Deterministic Policy Gradient with Clustered Prioritized Sampling. ICONIP (2) Wen Wu, Fei Zhu, Yuchen Fu, Quan Liu
2018	—	`conf`	Policy Space Noise in Deep Deterministic Policy Gradient. ICONIP (2) Yan Yan, Quan Liu
2018	J	`jnl`	Single Trajectory Learning: Exploration Versus Exploitation. Int. J. Pattern Recognit. Artif. Intell. Qiming Fu, Quan Liu, Shan Zhong, Heng Luo, Hongjie Wu, Jianping Chen
2017	—	`conf`	Efficient actor-critic algorithm with dual piecewise model learning. SSCI Shan Zhong, Quan Liu, Shengrong Gong, Qiming Fu, Jin Xu
2016	—	`conf`	A Kernel-Based Sarsa( \lambda ) Algorithm with Clustering-Based Sample Sparsification. ICONIP (3) Haijun Zhu, Fei Zhu, Yuchen Fu, Quan Liu, JianWei Zhai, Cijia Sun, Peng Zhang
2016	A	`conf`	Covering Number: Analyses for Approximate Continuous-state POMDP Planning (Extended Abstract). AAMAS Zongzhang Zhang, Quan Liu
2016	—	`conf`	Deep Q-Learning with Prioritized Sampling. ICONIP (1) JianWei Zhai, Quan Liu, Zongzhang Zhang, Shan Zhong, Haijun Zhu, Peng Zhang, Cijia Sun
2016	J	`jnl`	Efficient Actor-Critic Algorithm with Hierarchical Model Learning and Planning. Comput. Intell. Neurosci. Shan Zhong, Quan Liu, Qi-ming Fu
2016	J	`jnl`	Learn to human-level control in dynamic environment using incremental batch interrupting temporal abstraction. Comput. Sci. Inf. Syst. Yuchen Fu, Zhipeng Xu, Fei Zhu, Quan Liu, Xiaoke Zhou
2016	—	`conf`	Policy graph pruning and optimization in Monte Carlo Value Iteration for continuous-state POMDPs. SSCI Weisheng Qian, Quan Liu, Zongzhang Zhang, Zhiyuan Pan, Shan Zhong
2016	J	`jnl`	Reasoning and predicting POMDP planning complexity via covering numbers. Frontiers Comput. Sci. Zongzhang Zhang, Qi-ming Fu, Xiaofang Zhang, Quan Liu
2016	—	`conf`	Sparse Kernel-Based Least Squares Temporal Difference with Prioritized Sweeping. ICONIP (3) Cijia Sun, Xinghong Ling, Yuchen Fu, Quan Liu, Haijun Zhu, JianWei Zhai, Peng Zhang
2015	—	`conf`	A Bayesian Sarsa Learning Algorithm with Bandit-Based Method. ICONIP (1) Shuhua You, Quan Liu, Qi-ming Fu, Shan Zhong, Fei Zhu
2015	J	`jnl`	Human-level moving object recognition from traffic video. Comput. Sci. Inf. Syst. Fei Zhu, Quan Liu, Shan Zhong, Yang Yang
2015	B	`conf`	Intelligent Model Learning Based on Variance for Bayesian Reinforcement Learning. ICTAI Shuhua You, Quan Liu, Zongzhang Zhang, Hui Wang, Xiaofang Zhang
2015	J	`jnl`	Learning topic of dynamic scene using belief propagation and weighted visual words approach. Soft Comput. Chunping Liu, Hui Lin, Shengrong Gong, Yi Ji, Quan Liu
2015	—	`conf`	Protein-Protein Interaction Network Constructing Based on Text Mining and Reinforcement Learning with Application to Prostate Cancer. TrustCom/BigDataSE/ISPA (1) Fei Zhu, Quan Liu, Xiaofang Zhang, Bairong Shen
2015	—	`conf`	Spatiotemporal Saliency Detection Using Slow Feature Analysis and Spatial Information for Dynamic Scenes. IScIDE (1) Yang Wu, Zhaohui Wang, Xin Xu, Shengrong Gong, Quan Liu, Chunping Liu
2015	A	`conf`	Trajectory Sampling Value Iteration: Improved Dyna Search for MDPs. AAMAS Yicheng Zhou, Quan Liu, Qi-ming Fu, Zongzhang Zhang
2014	—	`conf`	Protein-protein interaction network constructing based on text mining and reinforcement learning with application to prostate cancer. BIBM Fei Zhu, Quan Liu, Xiaofang Zhang, Bairong Shen
2013	J	`jnl`	A Gradient Descent Sarsa(λ) Algorithm Based on the Adaptive Reward-shaping Mechanism. Intell. Autom. Soft Comput. Quan Liu, Qi-ming Fu, Fei Xiao, Yuchen Fu
2013	—	`conf`	The second order temporal difference error for Sarsa(λ). ADPRL Qi-ming Fu, Quan Liu, Fei Xiao, Guixin Chen
2012	J	`jnl`	A parallel scheduling algorithm for reinforcement learning in large state space. Frontiers Comput. Sci. Quan Liu, Xudong Yang, Ling Jing, Jin Li, Jiao Li
2011	J	`jnl`	Double elite co-evolutionary genetic algorithm. Int. J. Comput. Sci. Eng. Xiaoyan Wang, Quan Liu, Qi-ming Fu, Le Zhang
2011	J	`jnl`	Relevance feedback techniques and genetic algorithm for image retrieval based on multiple features. Int. J. Model. Identif. Control. Qi-ming Fu, Quan Liu, Xiaoyan Wang, Le Zhang
2010	J	`jnl`	A Data Aggregation Algorithm Based on Splay Tree for Wireless Sensor Networks. J. Comput. Shukui Zhang, Zhiming Cui, Sheng-Rong Gong, Quan Liu, Jianxi Fan
2009	—	`conf`	A Method to Automatically Discover and Classify Deep Web Data Source Using Multi-Classifier. CSIE (3) Zhi-tao Li, Quan Liu, Zhiming Cui, Yuchen Fu
2009	—	`conf`	A Reinforcement Learning Algorithm Based on Minimum State Method and Average Reward. CSIE (5) Qi-ming Fu, Quan Liu, Zhiming Cui, Yuchen Fu
2009	J	`jnl`	An Aggregation Tree Approach for Event Detection in Wireless Sensor Networks. J. Softw. Shukui Zhang, Sheng-Rong Gong, Zhiming Cui, Quan Liu, Jianxi Fan
2009	J	`jnl`	An Efficient Strategy for Enhancing Robustness and Immunization in Wireless Sensor Networks. J. Networks Shukui Zhang, Sheng-Rong Gong, Zhiming Cui, Quan Liu
2009	—	`conf`	Correlated-Clustering Frame: A Holistic Method of Deep Web Schema Matching Based on Data Mining. CSIE (5) Yuchen Fu, Quan Liu, Yunlong Xu, Chao Zhang, Wenyun Zhou, Zhiming Cui
2007	—	`conf`	A Deep Web Data Integration System For Book Searching Domain. IITA Xin Zhong, Yuchen Fu, Quan Liu, Yan Wang, Zhiming Cui
2007	—	`conf`	A Method of Ontology Mapping Based on Instance. IIH-MSP Tao Jin, Yuchen Fu, Xinhong Lin, Quan Liu, Zhiming Cui
2007	—	`conf`	A Method of Ontology Mapping Based on Subtree Kernel. IITA Tao Jin, Yuchen Fu, Xinghong Ling, Quan Liu, Zhiming Cui
2007	—	`conf`	An Tableau Automated Theorem Proving Method Using Logical Reinforcement Learning. ISICA Quan Liu, Yang Gao, Zhiming Cui, Wangshu Yao, Zhongwen Chen
2007	—	`conf`	Study on Competitive Intelligence System based on Web. IITA Li Kong, Yuchen Fu, Xiaoke Zhou, Quan Liu, Zhiming Cui
2007	—	`conf`	The Design and Implementation of a Topic-Driven Crawler. IITA Qiong Li, Tao Jin, Yuchen Fu, Quan Liu, Zhiming Cui