Solving Uncertain Markov Decision Problems: An Interval-Based Method. - Shulin Cui; Jigui Sun; Minghao Yin; Shuai Lu 001 (ICNC (2), 2006)

Improved Propositional Extension Rule. - Xia Wu; Jigui Sun; Shuai Lu 001; Ying Li; Wei Meng; Minghao Yin (RSKT, 2006)

Flexible Planning Using Fuzzy Description Logics. - Lian Shi; Jigui Sun; Shuai Lu 001; Minghao Yin (IC-AI, 2007)

The Regulation of Gene Expression in E-Cell. - Xinhua Lu; Jigui Sun; Ying Ren; Shuai Lu 001 (ICNC (3), 2007)

Flexible planning using fuzzy description logics: Theory and application. - Lian Shi; Jigui Sun; Shuai Lu 001; Minghao Yin (Appl. Soft Comput., 2009)

A novel hybrid differential evolution and particle swarm optimization algorithm for unconstrained optimization. - Changsheng Zhang 001; Jiaxu Ning; Shuai Lu 001; Dantong Ouyang; Tienan Ding (Oper. Res. Lett., 2009)

A hybrid system combining intuitionistic fuzzy description logics with intuitionistic fuzzy logic programs. - Lian Shi; Shuai Lu 001; Tao Sun; Dantong Ouyang (FSKD, 2011)

Rough Description Logic Programs. - Tingting Zou; Shuai Lv 001; Lei Liu (J. Comput., 2012)

A Novel Heuristic Usage of Helpful Actions for Conformant-FF System. - Wei Wei; Dantong Ouyang; Tingting Zou; Shuai Lu 001 (J. Comput., 2013)

A New Stochastic Local Search Approach for Computing Preferred Extensions of Abstract Argumentation. - Dangdang Niu; Lei Liu; Shuai Lü 001 (ECAI, 2016)

ANN: a heuristic search algorithm based on artificial neural networks. - Guangli Li; Guancheng Wang 003; Qiang Wang; Fan Fei; Shuai Lü 001; Degui Guo (ICIIP, 2016)

Security analysis model, system architecture and relational model of enterprise cloud services. - Dangdang Niu; Lei Liu 040; Xin Zhang; Shuai Lü 001; Zhuang Li (Int. J. Autom. Comput., 2016)

WPNet: Wallpaper Recommendation with Deep Convolutional Neural Networks. - Hang Yu; Quan Cheng; Jiejing Shao; Boyang Yu; Guangli Li; Shuai Lü 001 (GSKI (2), 2017)

An Energy-aware Virtual Machine Placement Algorithm in Cloud Data Center. - Mingzhe Tan; Ce Chi; Jiahao Zhang; Shichang Zhao; Guangli Li; Shuai Lü 001 (ICIIP, 2017)

A New Method for Computing Preferred Extensions. - Xindi Zhang; Xiaojie Xie; Yancen Pan; Dangdang Niu; Shuai Lü 001 (ICIIP, 2017)

Redundancy checking algorithms based on parallel novel extension rule. - Lei Liu 030; Yang Yang; Guangli Li; Qi Wang; Shuai Lü 001 (J. Exp. Theor. Artif. Intell., 2017)

一种服务消息交互行为的元建模方法 (Meta-modeling Approach of Message Interaction in Service). - Wenbo Zhou; Hongjia Liu; Lei Liu 040; Peng Zhang 053; Shuai Lv 001 (计算机科学, 2017)

Approximate Model Counting Via Extension Rule and Clause Reduction. - Hao Liu; Ziao Ni; Wenyang Zhou; Tongbo Zhang; Shuai Lü 001 (ICIIP, 2018)

Multi-Source News Recommender System Based on Convolutional Neural Networks. - Boyang Yu; Jiejing Shao; Quan Cheng; Hang Yu; Guangli Li; Shuai Lü 001 (ICIIP, 2018)

New stochastic local search approaches for computing preferred extensions of abstract argumentation. - Dangdang Niu; Lei Liu 040; Shuai Lü 001 (AI Commun., 2018)

SDAC: A model for analysis of the execution semantics of data processing framework in cloud. - Wenbo Zhou; Lei Liu 040; Peng Zhang 053; Shuai Lü 001; Jingyao Li (Comput. Lang. Syst. Struct., 2018)

Augmenting Negation Normal Form With Irrelevant Variables. - Dangdang Niu; Lei Liu 040; Shuai Lü 001 (IEEE Access, 2019)

An Executable Specification of Map-Join-Reduce Using Haskell. - Junqi Ren; Lei Liu 040; Feng Liu; Wenbo Zhou; Shuai Lü 001 (IEEE Access, 2019)

Toward Formal Modeling and Verification of Resource Provisioning as a Service in Cloud. - Wenbo Zhou; Lei Liu 040; Shuai Lü 001; Peng Zhang 053 (IEEE Access, 2019)

Deep Recurrent Deterministic Policy Gradient for Physical Control. - Lei Zhang; Shuai Han 005; Zhiruo Zhang; Lefan Li; Shuai Lü 001 (ICANN (2), 2020)

NROWAN-DQN: A Stable Noisy Network with Noise Reduction and Online Weight Adjustment for Exploration. - Shuai Han 005; Wenbo Zhou; Jing Liu; Shuai Lü 001 (CoRR, 2020)

Visual field movement detection model based on low-resolution images. - Guangli Li; Lei Liu 030; Tongbo Zhang; Hang Yu; Yue Xu; Shuai Lü 001 (Int. J. Embed. Syst., 2020)

Evolutionary Generative Adversarial Networks with Crossover Based Knowledge Distillation. - Junjie Li; Junwei Zhang; Xiaoyu Gong; Shuai Lü 001 (IJCNN, 2021)

Evolutionary Generative Adversarial Networks based on New Fitness Function and Generic Crossover Operator. - Junjie Li; Jingyao Li; Wenbo Zhou; Shuai Lü 001 (CoRR, 2021)

Feature concatenation for adversarial domain adaptation. - Jingyao Li; Zhanshan Li; Shuai Lü 001 (Expert Syst. Appl., 2021)

Recruitment-imitation mechanism for evolutionary reinforcement learning. - Shuai Lü 001; Shuai Han 005; Wenbo Zhou; Junwei Zhang (Inf. Sci., 2021)

Regularly updated deterministic policy gradient algorithm. - Shuai Han 005; Wenbo Zhou; Shuai Lü 001; Jiayu Yu (Knowl. Based Syst., 2021)

Unsupervised double weighted domain adaptation. - Jingyao Li; Zhanshan Li; Shuai Lü 001 (Neural Comput. Appl., 2021)

NROWAN-DQN: A stable noisy network with noise reduction and online weight adjustment for exploration. - Shuai Han 005; Wenbo Zhou; Jiayi Lu; Jing Liu; Shuai Lü 001 (Expert Syst. Appl., 2022)

Sampling diversity driven exploration with state difference guidance. - Jiayi Lu; Shuai Han 005; Shuai Lü 001; Meng Kang; Junwei Zhang (Expert Syst. Appl., 2022)

Actor-critic with familiarity-based trajectory experience replay. - Xiaoyu Gong; Jiayu Yu; Shuai Lü 001; Hengwei Lu (Inf. Sci., 2022)

Unsupervised domain adaptation via softmax-based prototype construction and adaptation. - Jingyao Li; Shuai Lü 001; Zhanshan Li (Inf. Sci., 2022)

Proximal policy optimization via enhanced exploration efficiency. - Junwei Zhang; Zhenghao Zhang; Shuai Han 005; Shuai Lü 001 (Inf. Sci., 2022)

Enhancing transferability and discriminability simultaneously for unsupervised domain adaptation. - Jingyao Li; Shuai Lü 001; Wenbo Zhu 003; Zhanshan Li (Knowl. Based Syst., 2022)

Adaptive Estimation Q-learning with Uncertainty and Familiarity. - Xiaoyu Gong; Shuai Lü 001; Jiayu Yu; Sheng Zhu; Zongze Li (IJCAI, 2023)

Entropy regularization methods for parameter space exploration. - Shuai Han 005; Wenbo Zhou; Shuai Lü 001; Sheng Zhu; Xiaoyu Gong (Inf. Sci., 2023)

Guided deterministic policy optimization with gradient-free policy parameters information. - Chun Shen; Sheng Zhu; Shuai Han 005; Xiaoyu Gong; Shuai Lü 001 (Expert Syst. Appl., 2023)

Low Category Uncertainty and High Training Potential Instance Learning for Unsupervised Domain Adaptation. - Xinyu Zhang 028; Meng Kang; Shuai Lü 001 (AAAI, 2024)

Reviewing the Forgotten Classes for Domain Adaptation of Black-Box Predictors. - Shaojie Zhang 003; Chun Shen; Shuai Lü 001; Zeyu Zhang (AAAI, 2024)

Double Buffers CEM-TD3: More Efficient Evolution and Richer Exploration. - Sheng Zhu; Chun Shen; Shuai Lü 001; Junhong Wu; Daolong An (AAAI, 2024)

Alleviating Imbalanced Pseudo-label Distribution: Self-Supervised Multi-Source Domain Adaptation with Label-specific Confidence. - Shuai Lü 001; Meng Kang; Ximing Li (IJCAI, 2024)

Reconfigurability-Aware Selection for Contrastive Active Domain Adaptation. - Zeyu Zhang; Chun Shen; Shuai Lü 001; Shaojie Zhang 003 (IJCAI, 2024)

Consistency regularization-based mutual alignment for source-free domain adaptation. - Shuai Lü 001; Zongze Li; Xinyu Zhang 028; Jingyao Li (Expert Syst. Appl., 2024)

Mixed experience sampling for off-policy reinforcement learning. - Jiayu Yu; Jingyao Li; Shuai Lü 001; Shuai Han 005 (Expert Syst. Appl., 2024)

Explorer-Actor-Critic: Better actors for deep reinforcement learning. - Junwei Zhang; Shuai Han 005; Xi Xiong; Sheng Zhu; Shuai Lü 001 (Inf. Sci., 2024)

Combining bounded solving and controllable randomization for approximate model counting. - Shuai Lü 001; Tongbo Zhang; Yue Xu; Wenbo Zhou; Yong Lai 001 (J. Exp. Theor. Artif. Intell., 2024)

Combined data augmentation framework for generalizing deep reinforcement learning from pixels. - Xi Xiong; Chun Shen; Junhong Wu; Shuai Lü 001; Xiaodan Zhang 006 (Expert Syst. Appl., 2025)

Proximal policy optimization with reward-based prioritization. - Mingsheng Zheng; Junwei Zhang; Changshuai Zhan; Xinyu Ren; Shuai Lü 001 (Expert Syst. Appl., 2025)

Bi-classifier with neighborhood aggregation for unsupervised domain adaptation. - Shuai Lü 001; Xinyu Zhang 028; Zongze Li; Jingyao Li; Meng Kang (Inf. Sci., 2025)

Episodic Memory-Double Actor-Critic Twin Delayed Deep Deterministic Policy Gradient. - Man Shu; Shuai Lü 001; Xiaoyu Gong; Daolong An; Songlin Li (Neural Networks, 2025)

VCSAP: Online reinforcement learning exploration method based on visitation count of state-action pairs. - Ruikai Zhou; Wenbo Zhu 003; Shuai Han 005; Meng Kang; Shuai Lü 001 (Neural Networks, 2025)