Granulation Operators on a Knowledge Base. - Yuhua Qian; Jiye Liang; Wei Wei 018 (GrC, 2008)

Change Mechanism of a Decision Table's Decision Performance caused by Attribute Reductions. - Wei Wei 018; Jiye Liang; Yuhua Qian (GrC, 2008)

Consistency and Fuzziness in Ordered Decision Tables. - Yuhua Qian; Jiye Liang; Wei Wei 018; Feng Wang 038 (RSKT, 2008)

An attribute reduction approach and its accelerated version for hybrid data. - Wei Wei 018; Jiye Liang; Yuhua Qian; Feng Wang 038 (IEEE ICCI, 2009)

A Time-Reduction Strategy to Feature Selection in Rough Set Theory. - Hongxing Chen; Yuhua Qian; Jiye Liang; Wei Wei 018; Feng Wang 038 (RSKT, 2009)

On Partial Order Relations in Granular Computing. - Hongxing Chen; Yuhua Qian; Jiye Liang; Wei Wei 018 (GrC, 2010)

Comparative study of decision performance of decision tables induced by attribute reductions. - Wei Wei 018; Jiye Liang; Yuhua Qian; Feng Wang 038; Chuangyin Dang (Int. J. Gen. Syst., 2010)

Variable precision multi-granulation rough set. - Wei Wei 018; Jiye Liang; Yuhua Qian; Feng Wang 038 (GrC, 2012)

Fuzziness-Preserving Attribute Reduction from Hybrid Data. - Wei Wei 018; Jiye Liang; Yuhua Qian; Junhong Wang (IScIDE, 2012)

A comparative study of rough sets for hybrid data. - Wei Wei 018; Jiye Liang; Yuhua Qian (Inf. Sci., 2012)

Evaluation of the decision performance of the decision rule set from an ordered decision table. - Yuhua Qian; Jiye Liang; Peng Song 004; Chuangyin Dang; Wei Wei 018 (Knowl. Based Syst., 2012)

Decision-relative discernibility matrices in the sense of entropies. - Wei Wei 018; Jiye Liang; Junhong Wang; Yuhua Qian (Int. J. Gen. Syst., 2013)

Can fuzzy entropies be effective measures for evaluating the roughness of a rough set? - Wei Wei 018; Jiye Liang; Yuhua Qian; Chuangyin Dang (Inf. Sci., 2013)

An accelerator for attribute reduction based on perspective of objects and attributes. - Jiye Liang; Junrong Mi; Wei Wei 018; Feng Wang 038 (Knowl. Based Syst., 2013)

Consistency-preserving attribute reduction in fuzzy rough set framework. - Yuhua Qian; Jiye Liang; Wei Wei 018 (Int. J. Mach. Learn. Cybern., 2013)

缺失数据数据集的组增量式特征选择 (Group Feature Selection Algorithm for Data Sets with Missing Data). - Feng Wang 038; Wei Wei 018 (计算机科学, 2015)

Compacted decision tables based attribute reduction. - Wei Wei 018; Junhong Wang; Jiye Liang; Xin Mi; Chuangyin Dang (Knowl. Based Syst., 2015)

Fuzzy rough approximations for set-valued data. - Wei Wei 018; Junbiao Cui; Jiye Liang; Junhong Wang (Inf. Sci., 2016)

A cautious ranking methodology with its application for stock screening. - Peng Song 004; Jiye Liang; Yuhua Qian; Wei Wei 018; Feng Wang 038 (Appl. Soft Comput., 2018)

基于信息熵的半监督特征选择算法 (Semi-supervised Feature Selection Algorithm Based on Information Entropy). - Feng Wang 038; Jichao Liu; Wei Wei 018 (计算机科学, 2018)

Discernibility matrix based incremental attribute reduction for dynamic data. - Wei Wei 018; Xiaoying Wu; Jiye Liang; Junbiao Cui; Yijun Sun (Knowl. Based Syst., 2018)

Subnetwork reliability analysis in k-ary n-cubes. - Kai Feng; Zhangjian Ji; Wei Wei 018 (Discret. Appl. Math., 2019)

Hierarchical division clustering framework for categorical data. - Wei Wei 018; Jiye Liang; Xinyao Guo; Peng Song 004; Yijun Sun (Neurocomputing, 2019)

Information fusion in rough set theory : An overview. - Wei Wei 018; Jiye Liang (Inf. Fusion, 2019)

Accelerating incremental attribute reduction algorithm by compacting a decision table. - Wei Wei 018; Peng Song 004; Jiye Liang; Xiaoying Wu (Int. J. Mach. Learn. Cybern., 2019)

Graph-based semi-supervised learning via improving the quality of the graph dynamically. - Jiye Liang; Junbiao Cui; Jie Wang 046; Wei Wei 018 (Mach. Learn., 2021)

Metric learning with clustering-based constraints. - Xinyao Guo; Chuangyin Dang; Jianqing Liang; Wei Wei 018; Jiye Liang (Int. J. Mach. Learn. Cybern., 2021)

Subnetwork reliability analysis of bubble-sort graph networks. - Kai Feng; Xinyu Ma; Wei Wei 018 (Theor. Comput. Sci., 2021)

Controlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation. - Wei Wei 018; Yujia Zhang; Jiye Liang; Lin Li 090; Yuze Li (AAAI, 2022)

Hierarchical metric learning with intra-level and inter-level regularization. - Lin Li 090; Ting Li; Wei Wei 018; Xinyao Guo; Jiye Liang (Int. J. Mach. Learn. Cybern., 2022)

Accelerating ReliefF using information granulation. - Wei Wei 018; Da Wang; Jiye Liang (Int. J. Mach. Learn. Cybern., 2022)

Metric learning via perturbing hard-to-classify instances. - Xinyao Guo; Wei Wei 018; Jianqing Liang; Chuangyin Dang; Jiye Liang (Pattern Recognit., 2022)

A group incremental approach for feature selection on hybrid data. - Feng Wang 038; Wei Wei 018; Jiye Liang (Soft Comput., 2022)

Set-membership Belief State-based Reinforcement Learning for POMDPs. - Wei Wei 018; Lijun Zhang; Lin Li 090; Huizhong Song; Jiye Liang (ICML, 2023)

Hybrid sampling-based contrastive learning for imbalanced node classification. - Caixia Cui; Jie Wang 046; Wei Wei 018; Jiye Liang (Int. J. Mach. Learn. Cybern., 2023)

Unsupervised Dimensionality Reduction Based on Fusing Multiple Clustering Results. - Wei Wei 018; Qin Yue 002; Kai Feng; Junbiao Cui; Jiye Liang (IEEE Trans. Knowl. Data Eng., 2023)

Multiple metric learning via local metric fusion. - Xinyao Guo; Lin Li 090; Chuangyin Dang; Jiye Liang; Wei Wei 018 (Inf. Sci., 2023)

A bi-level metric learning framework via self-paced learning weighting. - Jing Yan; Wei Wei 018; Xinyao Guo; Chuangyin Dang; Jiye Liang (Pattern Recognit., 2023)

Multi-actor mechanism for actor-critic reinforcement learning. - Lin Li 090; Yuze Li; Wei Wei 018; Yujia Zhang; Jiye Liang (Inf. Sci., 2023)

Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting. - Da Wang; Lin Li 090; Wei Wei 018; Qixian Yu; Jianye Hao; Jiye Liang (ICML, 2024)

Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning. - Lijun Zhang; Lin Li 090; Wei Wei 018; Huizhong Song; Yaodong Yang 001; Jiye Liang (NeurIPS, 2024)

Hi-Core: Hierarchical Knowledge Transfer for Continual Reinforcement Learning. - Chaofan Pan; Xin Yang 012; Hao Wang 068; Wei Wei 018; Tianrui Li 001 (CoRR, 2024)

Controlling estimation error in reinforcement learning via Reinforced Operation. - Yujia Zhang; Lin Li 090; Wei Wei 018; Xiu You; Jiye Liang (Inf. Sci., 2024)

A unified framework to control estimation error in reinforcement learning. - Yujia Zhang; Lin Li 090; Wei Wei 018; Yunpeng Lv; Jiye Liang (Neural Networks, 2024)

An incremental feature selection approach for dynamic feature variation. - Feng Wang 038; Xinhao Wang; Wei Wei 018; Jiye Liang (Neurocomputing, 2024)

Re-attentive experience replay in off-policy reinforcement learning. - Wei Wei 018; Da Wang; Lin Li 090; Jiye Liang (Mach. Learn., 2024)

Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning. - Da Wang; Lin Li 090; Wei Wei 018; Qixian Yu; Jianye Hao; Jiye Liang (AAAI, 2025)

Dynamic Uncertainty Estimation for Offline Reinforcement Learning. - Jiesheng Wang; Lin Li 090; Wei Wei 018; Yujia Zhang; Xin Yang 012 (AAAI, 2025)

Rethinking exploration-exploitation trade-off in reinforcement learning via cognitive consistency. - Da Wang; Wei Wei 018; Lin Li 090; Xin Wang; Jiye Liang (Neural Networks, 2025)

Risk-aware Direct Preference Optimization under Nested Risk Measure. - Lijun Zhang; Lin Li 090; Yajie Qi; Huizhong Song; Yaodong Yang 001; Jun Wang 012; Wei Wei 018 (CoRR, 2025)

Action-Adaptive Continual Learning: Enabling Policy Generalization under Dynamic Action Spaces. - Chaofan Pan; Jiafen Liu; Yanhua Li; Linbo Xiong; Fan Min 001; Wei Wei 018; Xin Yang 012 (CoRR, 2025)

A Survey of Continual Reinforcement Learning. - Chaofan Pan; Xin Yang 012; Yanhua Li; Wei Wei 018; Tianrui Li 001; Bo An 001; Jiye Liang (CoRR, 2025)

Scaling DRL for Decision Making: A Survey on Data, Network, and Training Budget Strategies. - Yi Ma 005; Hongyao Tang; Chenjun Xiao; Yaodong Yang 001; Wei Wei 018; Jianye Hao; Jiye Liang (CoRR, 2025)