A Method of Ontology Mapping Based on Instance. - Tao Jin; Yuchen Fu; Xinhong Lin; Quan Liu 004; Zhiming Cui (IIH-MSP, 2007)

A Method of Ontology Mapping Based on Subtree Kernel. - Tao Jin; Yuchen Fu; Xinghong Ling; Quan Liu 004; Zhiming Cui (IITA, 2007)

Study on Competitive Intelligence System based on Web. - Li Kong; Yuchen Fu; Xiaoke Zhou; Quan Liu 004; Zhiming Cui (IITA, 2007)

The Design and Implementation of a Topic-Driven Crawler. - Qiong Li; Tao Jin; Yuchen Fu; Quan Liu 004; Zhiming Cui (IITA, 2007)

A Deep Web Data Integration System For Book Searching Domain. - Xin Zhong; Yuchen Fu; Quan Liu 004; Yan Wang; Zhiming Cui (IITA, 2007)

An Tableau Automated Theorem Proving Method Using Logical Reinforcement Learning. - Quan Liu 004; Yang Gao 001; Zhiming Cui; WangShu Yao; ZhongWen Chen (ISICA, 2007)

A Reinforcement Learning Algorithm Based on Minimum State Method and Average Reward. - Qi-ming Fu 001; Quan Liu 004; Zhiming Cui; Yuchen Fu (CSIE (5), 2009)

Correlated-Clustering Frame: A Holistic Method of Deep Web Schema Matching Based on Data Mining. - Yuchen Fu; Quan Liu 004; Yunlong Xu; Chao Zhang; Wenyun Zhou; Zhiming Cui (CSIE (5), 2009)

A Method to Automatically Discover and Classify Deep Web Data Source Using Multi-Classifier. - Zhi-tao Li; Quan Liu 004; Zhiming Cui; Yuchen Fu (CSIE (3), 2009)

An Efficient Strategy for Enhancing Robustness and Immunization in Wireless Sensor Networks. - Shukui Zhang; Sheng-Rong Gong; Zhiming Cui; Quan Liu 004 (J. Networks, 2009)

An Aggregation Tree Approach for Event Detection in Wireless Sensor Networks. - Shukui Zhang; Sheng-Rong Gong; Zhiming Cui; Quan Liu 004; Jianxi Fan (J. Softw., 2009)

A Data Aggregation Algorithm Based on Splay Tree for Wireless Sensor Networks. - Shukui Zhang; Zhiming Cui; Sheng-Rong Gong; Quan Liu 004; Jianxi Fan (J. Comput., 2010)

Double elite co-evolutionary genetic algorithm. - Xiaoyan Wang; Quan Liu 004; Qi-ming Fu 001; Le Zhang (Int. J. Comput. Sci. Eng., 2011)

Relevance feedback techniques and genetic algorithm for image retrieval based on multiple features. - Qi-ming Fu 001; Quan Liu 004; Xiaoyan Wang; Le Zhang (Int. J. Model. Identif. Control., 2011)

A parallel scheduling algorithm for reinforcement learning in large state space. - Quan Liu 004; Xudong Yang; Ling Jing; Jin Li; Jiao Li (Frontiers Comput. Sci., 2012)

The second order temporal difference error for Sarsa(λ). - Qi-ming Fu 001; Quan Liu 004; Fei Xiao; Guixin Chen (ADPRL, 2013)

A Gradient Descent Sarsa(λ) Algorithm Based on the Adaptive Reward-shaping Mechanism. - Quan Liu 004; Qi-ming Fu 001; Fei Xiao; Yuchen Fu (Intell. Autom. Soft Comput., 2013)

Protein-protein interaction network constructing based on text mining and reinforcement learning with application to prostate cancer. - Fei Zhu 003; Quan Liu 004; Xiaofang Zhang; Bairong Shen (BIBM, 2014)

Trajectory Sampling Value Iteration: Improved Dyna Search for MDPs. - Yicheng Zhou; Quan Liu 004; Qi-ming Fu 001; Zongzhang Zhang (AAMAS, 2015)

A Bayesian Sarsa Learning Algorithm with Bandit-Based Method. - Shuhua You; Quan Liu 004; Qi-ming Fu 001; Shan Zhong; Fei Zhu 003 (ICONIP (1), 2015)

Intelligent Model Learning Based on Variance for Bayesian Reinforcement Learning. - Shuhua You; Quan Liu 004; Zongzhang Zhang; Hui Wang; Xiaofang Zhang (ICTAI, 2015)

Spatiotemporal Saliency Detection Using Slow Feature Analysis and Spatial Information for Dynamic Scenes. - Yang Wu; Zhaohui Wang; Xin Xu; Shengrong Gong; Quan Liu 004; Chunping Liu (IScIDE (1), 2015)

Human-level moving object recognition from traffic video. - Fei Zhu 003; Quan Liu 004; Shan Zhong; Yang Yang (Comput. Sci. Inf. Syst., 2015)

Learning topic of dynamic scene using belief propagation and weighted visual words approach. - Chunping Liu; Hui Lin; Shengrong Gong; Yi Ji 001; Quan Liu 004 (Soft Comput., 2015)

Covering Number: Analyses for Approximate Continuous-state POMDP Planning (Extended Abstract). - Zongzhang Zhang; Quan Liu 004 (AAMAS, 2016)

Sparse Kernel-Based Least Squares Temporal Difference with Prioritized Sweeping. - Cijia Sun; Xinghong Ling; Yuchen Fu; Quan Liu 004; Haijun Zhu; Jianwei Zhai; Peng Zhang (ICONIP (3), 2016)

Deep Q-Learning with Prioritized Sampling. - Jianwei Zhai; Quan Liu 004; Zongzhang Zhang; Shan Zhong; Haijun Zhu; Peng Zhang; Cijia Sun (ICONIP (1), 2016)

A Kernel-Based Sarsa( lambda ) Algorithm with Clustering-Based Sample Sparsification. - Haijun Zhu; Fei Zhu 003; Yuchen Fu; Quan Liu 004; Jianwei Zhai; Cijia Sun; Peng Zhang (ICONIP (3), 2016)

Policy graph pruning and optimization in Monte Carlo Value Iteration for continuous-state POMDPs. - Weisheng Qian; Quan Liu 004; Zongzhang Zhang; Zhiyuan Pan; Shan Zhong (SSCI, 2016)

Efficient Actor-Critic Algorithm with Hierarchical Model Learning and Planning. - Shan Zhong; Quan Liu 004; Qi-ming Fu 001 (Comput. Intell. Neurosci., 2016)

Learn to human-level control in dynamic environment using incremental batch interrupting temporal abstraction. - Yuchen Fu; Zhipeng Xu; Fei Zhu 003; Quan Liu 004; Xiaoke Zhou (Comput. Sci. Inf. Syst., 2016)

Reasoning and predicting POMDP planning complexity via covering numbers. - Zongzhang Zhang; Qi-ming Fu 001; Xiaofang Zhang; Quan Liu 004 (Frontiers Comput. Sci., 2016)

Efficient actor-critic algorithm with dual piecewise model learning. - Shan Zhong; Quan Liu 004; Shengrong Gong; Qiming Fu 001; Jin Xu (SSCI, 2017)

Accurate Q-Learning. - Zhihui Hu; Yubin Jiang; Xinghong Ling; Quan Liu 004 (ICONIP (3), 2018)

Deep Deterministic Policy Gradient with Clustered Prioritized Sampling. - Wen Wu; Fei Zhu 003; Yuchen Fu; Quan Liu 004 (ICONIP (2), 2018)

Policy Space Noise in Deep Deterministic Policy Gradient. - Yan Yan; Quan Liu 004 (ICONIP (2), 2018)

Single Trajectory Learning: Exploration Versus Exploitation. - Qiming Fu 001; Quan Liu 004; Shan Zhong; Heng Luo; Hongjie Wu; Jianping Chen (Int. J. Pattern Recognit. Artif. Intell., 2018)

Safe Q-Learning Method Based on Constrained Markov Decision Processes. - Yangyang Ge; Fei Zhu 003; Xinghong Ling; Quan Liu 004 (IEEE Access, 2019)

Residual Sarsa algorithm with function approximation. - Qiming Fu 001; Wen Hu; Quan Liu 004; Heng Luo; Lingyao Hu; Jianping Chen (Clust. Comput., 2019)

SARSA based access control with approximation by TileCoding. - Fei Zhu 003; Pai Peng; Quan Liu 004; Yuchen Fu; Shan Zhong (Comput. Sci. Inf. Syst., 2019)

Efficient reinforcement learning in continuous state and action spaces with Dyna and policy approximation. - Shan Zhong; Quan Liu 004; Zongzhang Zhang; Qiming Fu 001 (Frontiers Comput. Sci., 2019)

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). - Jianping Chen; Feng Zou; Quan Liu 004; Hongjie Wu; Fuyuan Hu; Qiming Fu 001 (计算机科学, 2019)

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). - Jie Li; Xinghong Ling; Yuchen Fu; Quan Liu 004 (计算机科学, 2019)

Multi-agent cooperation Q-learning algorithm based on constrained Markov Game. - Yangyang Ge; Fei Zhu 003; Wei Huang; Peiyao Zhao; Quan Liu 004 (Comput. Sci. Inf. Syst., 2020)

A resource retrieval method of multimedia recommendation system based on deep learning. - Xiaofei Liu; Fei Zhu 003; Yuchen Fu; Quan Liu 004 (Int. J. Auton. Adapt. Commun. Syst., 2020)

Improving exploration efficiency of deep reinforcement learning through samples produced by generative model. - Dayong Xu; Fei Zhu 003; Quan Liu 004; Peiyao Zhao (Expert Syst. Appl., 2021)

Hierarchical Reinforcement Learning With Automatic Sub-Goal Identification. - Chenghao Liu; Fei Zhu 003; Quan Liu 004; Yuchen Fu (IEEE CAA J. Autom. Sinica, 2021)

Gradient temporal-difference learning for off-policy evaluation using emphatic weightings. - Jiaqing Cao; Quan Liu 004; Fei Zhu 003; Qiming Fu 001; Shan Zhong (Inf. Sci., 2021)

ARAIL: Learning to rank from incomplete demonstrations. - Dayong Xu; Fei Zhu 003; Quan Liu 004; Peiyao Zhao (Inf. Sci., 2021)

Self-guided deep deterministic policy gradient with multi-actor. - Hongming Chen; Quan Liu 004; Shan Zhong (Neural Comput. Appl., 2021)

Master-Slave Policy Collaboration for Actor-Critic Methods. - Xiaomu Li; Quan Liu 004 (IJCNN, 2022)

Vital node searcher: find out critical node measure with deep reinforcement learning. - Guanting Du; Fei Zhu 003; Quan Liu 004 (Connect. Sci., 2022)

Improving deep reinforcement learning by safety guarding model via hazardous experience planning. - Pai Peng; Fei Zhu 003; Xinghong Ling; Peiyao Zhao; Quan Liu 004 (Frontiers Comput. Sci., 2022)

Learning fair representations by separating the relevance of potential information. - Tangkun Quan; Fei Zhu 003; Xinghong Ling; Quan Liu 004 (Inf. Process. Manag., 2022)

Best-in-class imitation: Non-negative positive-unlabeled imitation learning from imperfect demonstrations. - Lin Zhang; Fei Zhu 003; Xinghong Ling; Quan Liu 004 (Inf. Sci., 2022)

Explore the weakness: Instructive exploration adversarial robust reinforcement learning. - Chunyang Wu; Fei Zhu 003; Quan Liu 004 (J. King Saud Univ. Comput. Inf. Sci., 2022)

Learning Unbiased Rewards with Mutual Information in Adversarial Imitation Learning. - Lihua Zhang; Quan Liu 004; Zhigang Huang; Lan Wu (ICASSP, 2023)

A Perturbation-Based Policy Distillation Framework with Generative Adversarial Nets. - Lihua Zhang; Quan Liu 004; Xiongzhen Zhang; Yapeng Xu (ICASSP, 2023)

Efficient Collaboration via Interaction Information in Multi-agent System. - Meilong Shi; Quan Liu 004; Zhigang Huang (ICONIP (2), 2023)

Self-adaptive Inverse Soft-Q Learning for Imitation. - Zhuo Wang; Quan Liu 004; Xiongzhen Zhang (ICONIP (9), 2023)

Cosine Similarity Based Representation Learning for Adversarial Imitation Learning. - Xiongzhen Zhang; Quan Liu 004; Lihua Zhang (SMC, 2023)

Learning fair representations for accuracy parity. - Tangkun Quan; Fei Zhu 003; Quan Liu 004; Fanzhang Li (Eng. Appl. Artif. Intell., 2023)

A stable actor-critic algorithm for solving robotic tasks with multiple constraints. - Peiyao Zhao; Fei Zhu 003; Quan Liu 004; Xinghong Ling (Frontiers Comput. Sci., 2023)

Temporal-difference emphasis learning with regularized correction for off-policy evaluation and control. - Jiaqing Cao; Quan Liu 004; Lan Wu; Qiming Fu 001; Shan Zhong (Appl. Intell., 2023)

Addressing implicit bias in adversarial imitation learning with mutual information. - Lihua Zhang; Quan Liu 004; Fei Zhu 003; Zhigang Huang (Neural Networks, 2023)

Hierarchical reinforcement learning with adaptive scheduling for robot control. - Zhigang Huang; Quan Liu 004; Fei Zhu 003 (Eng. Appl. Artif. Intell., 2023)

Generalized gradient emphasis learning for off-policy evaluation and control with function approximation. - Jiaqing Cao; Quan Liu 004; Lan Wu; Qiming Fu 001; Shan Zhong (Neural Comput. Appl., 2023)

Deep Deterministic Strategy Gradient Method Using Plot Experience Playback. - Quan Liu 004; Jun Zhang; Jianxing Zhang; Bofeng Zhang (ICIS, 2024)

Offline Reinforcement Learning with Policy Guidance and Uncertainty Estimation. - Lan Wu; Quan Liu 004; Lihua Zhang; Zhigang Huang (ICASSP, 2024)

Offline Reinforcement Learning with Generative Adversarial Networks and Uncertainty Estimation. - Lan Wu; Quan Liu 004; Lihua Zhang; Zhigang Huang (ICASSP, 2024)

Offline Reinforcement Learning Based on Next State Supervision. - Jie Yan; Quan Liu 004; Lihua Zhang (ICASSP, 2024)

Multi-Agent Self-Motivated Learning via Role Representation. - Yuchao Jin; Quan Liu 004 (IJCNN, 2024)

Balanced Subgoals Generation in Hierarchical Reinforcement Learning. - Sifeng Tong; Quan Liu 004 (SMC, 2024)

Deep Luenberger observer-based consistency tracking for nonlinear heterogeneous multi-agent systems with uncertain drift dynamics. - Renyang You; Quan Liu 004 (Knowl. Based Syst., 2024)

Hierarchical reinforcement learning with unlimited option scheduling for sparse rewards in continuous spaces. - Zhigang Huang; Quan Liu 004; Fei Zhu 003; Lihua Zhang; Lan Wu (Expert Syst. Appl., 2024)

Taking complementary advantages: Improving exploration via double self-imitation learning in procedurally-generated environments. - Hao Lin; Yue He; Fanzhang Li; Quan Liu 004; Bangjun Wang; Fei Zhu 003 (Expert Syst. Appl., 2024)

RLUC: Strengthening robustness by attaching constraint considerations to policy network. - Jianmin Tang; Quan Liu 004; Fanzhang Li; Fei Zhu 003 (Expert Syst. Appl., 2024)

Personalized federated reinforcement learning: Balancing personalization and experience sharing via distance constraint. - Weicheng Xiong; Quan Liu 004; Fanzhang Li; Bangjun Wang; Fei Zhu 003 (Expert Syst. Appl., 2024)

Diverse Collaboration in Multi-Agent Reinforcement Learning via Self-Adaptive Method. - Xiang Xue; Quan Liu 004; Meilong Shi; Yuchao Jin (ICASSP, 2025)

Offline-to-Online: Case-Based Knowledge Distillation with Large Language Models for Reinforcement Learning. - Hongzhe Liu; Quan Liu 004; Lan Wu; Meilong Shi; Zhiming Cui (ICCBR, 2025)

A Lyapunov-Based Convex Optimal Control Approach via Input Convex Transformer. - Renyang You; Quan Liu 004; Shenghui Guo; Zhiming Cui (ICIC (10), 2025)

LinFa-Q: Accurate Q-learning with linear function approximation. - Zhechao Wang; Qiming Fu 001; Jianping Chen; Quan Liu 004; You Lu 004; Hongjie Wu; Fuyuan Hu (Neurocomputing, 2025)