Wei Wei - RankMe

59 papers A* 7Misc 4Journal 43Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Pseudo-distribution elite critics: Enhancing accuracy in reinforcement learning value estimation. Neural Networks Yujia Zhang, Lin Li, Wei Wei, Jianguo Wu, Jiye Liang
2025	J	`jnl`	A Survey of Continual Reinforcement Learning. CoRR Chaofan Pan, Xin Yang, Yanhua Li, Wei Wei, Tianrui Li, Bo An, Jiye Liang
2025	—	`conf`	AGOD: Enhancing Multi-Agent Generalization via Attribution-Guided Observation Dropout. DAI Wei Wei, Binchao Ma, Lin Li, Huizhong Song, Lijun Zhang, Fengjiao Li
2025	J	`jnl`	Action-Adaptive Continual Learning: Enabling Policy Generalization under Dynamic Action Spaces. CoRR Chaofan Pan, Jiafen Liu, Yanhua Li, Linbo Xiong, Fan Min, Wei Wei, Xin Yang
2025	J	`jnl`	Constrained Language Model Policy Optimization via Risk-aware Stepwise Alignment. CoRR Lijun Zhang, Lin Li, Wei Wei, Yajie Qi, Huizhong Song, Jun Wang, Yaodong Yang, Jiye Liang
2025	A*	`conf`	Dynamic Uncertainty Estimation for Offline Reinforcement Learning. AAAI Jiesheng Wang, Lin Li, Wei Wei, Yujia Zhang, Xin Yang
2025	J	`jnl`	Goal-Guided Efficient Exploration via Large Language Model in Reinforcement Learning. CoRR Yajie Qi, Wei Wei, Lin Li, Lijun Zhang, Zhidong Gao, Da Wang, Huizhong Song
2025	A*	`conf`	Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning. AAAI Da Wang, Lin Li, Wei Wei, Qixian Yu, Jianye Hao, Jiye Liang
2025	A*	`conf`	Multi-granularity Knowledge Transfer for Continual Reinforcement Learning. IJCAI Chaofan Pan, Lingfei Ren, Yihui Feng, Linbo Xiong, Wei Wei, Yonghao Li, Xin Yang
2025	J	`jnl`	Rethinking exploration-exploitation trade-off in reinforcement learning via cognitive consistency. Neural Networks Da Wang, Wei Wei, Lin Li, Xin Wang, Jiye Liang
2025	J	`jnl`	Risk-aware Direct Preference Optimization under Nested Risk Measure. CoRR Lijun Zhang, Lin Li, Yajie Qi, Huizhong Song, Yaodong Yang, Jun Wang, Wei Wei
2025	J	`jnl`	Scaling DRL for Decision Making: A Survey on Data, Network, and Training Budget Strategies. CoRR Yi Ma, Hongyao Tang, Chenjun Xiao, Yaodong Yang, Wei Wei, Jianye Hao, Jiye Liang
2025	J	`jnl`	Self-Constrained Clustering Ensemble. IEEE Trans. Pattern Anal. Mach. Intell. Wei Wei, Jianguo Wu, Xinyao Guo, Jing Yan, Jiye Liang
2024	J	`jnl`	A unified framework to control estimation error in reinforcement learning. Neural Networks Yujia Zhang, Lin Li, Wei Wei, Yunpeng Lv, Jiye Liang
2024	J	`jnl`	An incremental feature selection approach for dynamic feature variation. Neurocomputing Feng Wang, Xinhao Wang, Wei Wei, Jiye Liang
2024	J	`jnl`	Controlling estimation error in reinforcement learning via Reinforced Operation. Inf. Sci. Yujia Zhang, Lin Li, Wei Wei, Xiu You, Jiye Liang
2024	J	`jnl`	Hi-Core: Hierarchical Knowledge Transfer for Continual Reinforcement Learning. CoRR Chaofan Pan, Xin Yang, Hao Wang, Wei Wei, Tianrui Li
2024	A*	`conf`	Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting. ICML Da Wang, Lin Li, Wei Wei, Qixian Yu, Jianye Hao, Jiye Liang
2024	J	`jnl`	Re-attentive experience replay in off-policy reinforcement learning. Mach. Learn. Wei Wei, Da Wang, Lin Li, Jiye Liang
2024	A*	`conf`	Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning. NeurIPS Lijun Zhang, Lin Li, Wei Wei, Huizhong Song, Yaodong Yang, Jiye Liang
2023	J	`jnl`	A bi-level metric learning framework via self-paced learning weighting. Pattern Recognit. Jing Yan, Wei Wei, Xinyao Guo, Chuangyin Dang, Jiye Liang
2023	J	`jnl`	Hybrid sampling-based contrastive learning for imbalanced node classification. Int. J. Mach. Learn. Cybern. Caixia Cui, Jie Wang, Wei Wei, Jiye Liang
2023	J	`jnl`	Multi-actor mechanism for actor-critic reinforcement learning. Inf. Sci. Lin Li, Yuze Li, Wei Wei, Yujia Zhang, Jiye Liang
2023	J	`jnl`	Multiple metric learning via local metric fusion. Inf. Sci. Xinyao Guo, Lin Li, Chuangyin Dang, Jiye Liang, Wei Wei
2023	A*	`conf`	Set-membership Belief State-based Reinforcement Learning for POMDPs. ICML Wei Wei, Lijun Zhang, Lin Li, Huizhong Song, Jiye Liang
2023	J	`jnl`	Unsupervised Dimensionality Reduction Based on Fusing Multiple Clustering Results. IEEE Trans. Knowl. Data Eng. Wei Wei, Qin Yue, Kai Feng, Junbiao Cui, Jiye Liang
2022	J	`jnl`	A group incremental approach for feature selection on hybrid data. Soft Comput. Feng Wang, Wei Wei, Jiye Liang
2022	J	`jnl`	Accelerating ReliefF using information granulation. Int. J. Mach. Learn. Cybern. Wei Wei, Da Wang, Jiye Liang
2022	A*	`conf`	Controlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation. AAAI Wei Wei, Yujia Zhang, Jiye Liang, Lin Li, Yuze Li
2022	J	`jnl`	Hierarchical metric learning with intra-level and inter-level regularization. Int. J. Mach. Learn. Cybern. Lin Li, Ting Li, Wei Wei, Xinyao Guo, Jiye Liang
2022	J	`jnl`	Metric learning via perturbing hard-to-classify instances. Pattern Recognit. Xinyao Guo, Wei Wei, Jianqing Liang, Chuangyin Dang, Jiye Liang
2021	J	`jnl`	Graph-based semi-supervised learning via improving the quality of the graph dynamically. Mach. Learn. Jiye Liang, Junbiao Cui, Jie Wang, Wei Wei
2021	J	`jnl`	Metric learning with clustering-based constraints. Int. J. Mach. Learn. Cybern. Xinyao Guo, Chuangyin Dang, Jianqing Liang, Wei Wei, Jiye Liang
2021	J	`jnl`	Subnetwork reliability analysis of bubble-sort graph networks. Theor. Comput. Sci. Kai Feng, Xinyu Ma, Wei Wei
2019	J	`jnl`	Accelerating incremental attribute reduction algorithm by compacting a decision table. Int. J. Mach. Learn. Cybern. Wei Wei, Peng Song, Jiye Liang, Xiaoying Wu
2019	J	`jnl`	Hierarchical division clustering framework for categorical data. Neurocomputing Wei Wei, Jiye Liang, Xinyao Guo, Peng Song, Yijun Sun
2019	J	`jnl`	Information fusion in rough set theory : An overview. Inf. Fusion Wei Wei, Jiye Liang
2019	J	`jnl`	Subnetwork reliability analysis in k-ary n-cubes. Discret. Appl. Math. Kai Feng, Zhangjian Ji, Wei Wei
2018	J	`jnl`	A cautious ranking methodology with its application for stock screening. Appl. Soft Comput. Peng Song, Jiye Liang, Yuhua Qian, Wei Wei, Feng Wang
2018	J	`jnl`	Discernibility matrix based incremental attribute reduction for dynamic data. Knowl. Based Syst. Wei Wei, Xiaoying Wu, Jiye Liang, Junbiao Cui, Yijun Sun
2018	J	`jnl`	基于信息熵的半监督特征选择算法 (Semi-supervised Feature Selection Algorithm Based on Information Entropy). 计算机科学 Feng Wang, Jichao Liu, Wei Wei
2016	J	`jnl`	Fuzzy rough approximations for set-valued data. Inf. Sci. Wei Wei, Junbiao Cui, Jiye Liang, Junhong Wang
2015	J	`jnl`	Compacted decision tables based attribute reduction. Knowl. Based Syst. Wei Wei, Junhong Wang, Jiye Liang, Xin Mi, Chuangyin Dang
2015	J	`jnl`	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). 计算机科学 Feng Wang, Wei Wei
2013	J	`jnl`	An accelerator for attribute reduction based on perspective of objects and attributes. Knowl. Based Syst. Jiye Liang, Junrong Mi, Wei Wei, Feng Wang
2013	J	`jnl`	Can fuzzy entropies be effective measures for evaluating the roughness of a rough set? Inf. Sci. Wei Wei, Jiye Liang, Yuhua Qian, Chuangyin Dang
2013	J	`jnl`	Consistency-preserving attribute reduction in fuzzy rough set framework. Int. J. Mach. Learn. Cybern. Yuhua Qian, Jiye Liang, Wei Wei
2013	J	`jnl`	Decision-relative discernibility matrices in the sense of entropies. Int. J. Gen. Syst. Wei Wei, Jiye Liang, Junhong Wang, Yuhua Qian
2012	J	`jnl`	A comparative study of rough sets for hybrid data. Inf. Sci. Wei Wei, Jiye Liang, Yuhua Qian
2012	J	`jnl`	Evaluation of the decision performance of the decision rule set from an ordered decision table. Knowl. Based Syst. Yuhua Qian, Jiye Liang, Peng Song, Chuangyin Dang, Wei Wei
2012	—	`conf`	Fuzziness-Preserving Attribute Reduction from Hybrid Data. IScIDE Wei Wei, Jiye Liang, Yuhua Qian, Junhong Wang
2012	Misc	`conf`	Variable precision multi-granulation rough set. GrC Wei Wei, Jiye Liang, Yuhua Qian, Feng Wang
2010	J	`jnl`	Comparative study of decision performance of decision tables induced by attribute reductions. Int. J. Gen. Syst. Wei Wei, Jiye Liang, Yuhua Qian, Feng Wang, Chuangyin Dang
2010	Misc	`conf`	On Partial Order Relations in Granular Computing. GrC Hongxing Chen, Yuhua Qian, Jiye Liang, Wei Wei
2009	—	`conf`	A Time-Reduction Strategy to Feature Selection in Rough Set Theory. RSKT Hongxing Chen, Yuhua Qian, Jiye Liang, Wei Wei, Feng Wang
2009	—	`conf`	An attribute reduction approach and its accelerated version for hybrid data. IEEE ICCI Wei Wei, Jiye Liang, Yuhua Qian, Feng Wang
2008	Misc	`conf`	Change Mechanism of a Decision Table's Decision Performance caused by Attribute Reductions. GrC Wei Wei, Jiye Liang, Yuhua Qian
2008	—	`conf`	Consistency and Fuzziness in Ordered Decision Tables. RSKT Yuhua Qian, Jiye Liang, Wei Wei, Feng Wang
2008	Misc	`conf`	Granulation Operators on a Knowledge Base. GrC Yuhua Qian, Jiye Liang, Wei Wei