Shuai Lü - RankMe

57 papers A* 8A 1B 1Journal 40Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Focus on primary: Differential diverse data augmentation for generalization in visual reinforcement learning. Expert Syst. Appl. Junhong Wu, Jie Liu, Xi Xiong, Daolong An, Shuai Lü
2026	J	`jnl`	Influence of Gaussian distribution on performance metrics in continuous reinforcement learning. Inf. Process. Manag. Ruikai Zhou, Taihong Zhong, Wenbo Zhu, Shuai Han, Shuai Lü
2026	A*	`conf`	Prototype-Driven Active Domain Adaptation with Density Consideration. AAAI Zeyu Zhang, Chun Shen, Qiang Ma, Meng Kang, Shuai Lü
2026	J	`jnl`	Result constraint behavior cloning for offline reinforcement learning. Neural Networks Daolong An, Chun Shen, Songlin Li, Wei Xiao, Shuai Lü, Wenbo Zhou
2026	A*	`conf`	State Proficiency-Based Adaptive Fine-Tuning for Offline-to-Online Reinforcement Learning. AAAI Songlin Li, Wei Xiao, Hao Wu, Xiaodan Zhang, Daolong An, Shuai Lü
2026	J	`jnl`	TATRC: Triple Actor-Critic Structure with Regularization for better performance. Inf. Process. Manag. Taihong Zhong, Shuai Han, Yushu Zhang, Zehong Long, Shuai Lü, Junhong Wu
2026	J	`jnl`	Target self-guided framework for unsupervised domain adaptation. Pattern Recognit. Jingyao Li, Zhanshan Li, Shuai Lü
2025	J	`jnl`	Bi-classifier with neighborhood aggregation for unsupervised domain adaptation. Inf. Sci. Shuai Lü, Xinyu Zhang, Zongze Li, Jingyao Li, Meng Kang
2025	J	`jnl`	Combined data augmentation framework for generalizing deep reinforcement learning from pixels. Expert Syst. Appl. Xi Xiong, Chun Shen, Junhong Wu, Shuai Lü, Xiaodan Zhang
2025	J	`jnl`	Episodic Memory-Double Actor-Critic Twin Delayed Deep Deterministic Policy Gradient. Neural Networks Man Shu, Shuai Lü, Xiaoyu Gong, Daolong An, Songlin Li
2025	J	`jnl`	Proximal policy optimization with reward-based prioritization. Expert Syst. Appl. Mingsheng Zheng, Junwei Zhang, Changshuai Zhan, Xinyu Ren, Shuai Lü
2025	J	`jnl`	VCSAP: Online reinforcement learning exploration method based on visitation count of state-action pairs. Neural Networks Ruikai Zhou, Wenbo Zhu, Shuai Han, Meng Kang, Shuai Lü
2024	A*	`conf`	Alleviating Imbalanced Pseudo-label Distribution: Self-Supervised Multi-Source Domain Adaptation with Label-specific Confidence. IJCAI Shuai Lü, Meng Kang, Ximing Li
2024	J	`jnl`	Combining bounded solving and controllable randomization for approximate model counting. J. Exp. Theor. Artif. Intell. Shuai Lü, Tongbo Zhang, Yue Xu, Wenbo Zhou, Yong Lai
2024	J	`jnl`	Consistency regularization-based mutual alignment for source-free domain adaptation. Expert Syst. Appl. Shuai Lü, Zongze Li, Xinyu Zhang, Jingyao Li
2024	A*	`conf`	Double Buffers CEM-TD3: More Efficient Evolution and Richer Exploration. AAAI Sheng Zhu, Chun Shen, Shuai Lü, Junhong Wu, Daolong An
2024	J	`jnl`	Explorer-Actor-Critic: Better actors for deep reinforcement learning. Inf. Sci. Junwei Zhang, Shuai Han, Xi Xiong, Sheng Zhu, Shuai Lü
2024	A*	`conf`	Low Category Uncertainty and High Training Potential Instance Learning for Unsupervised Domain Adaptation. AAAI Xinyu Zhang, Meng Kang, Shuai Lü
2024	J	`jnl`	Mixed experience sampling for off-policy reinforcement learning. Expert Syst. Appl. Jiayu Yu, Jingyao Li, Shuai Lü, Shuai Han
2024	A*	`conf`	Reconfigurability-Aware Selection for Contrastive Active Domain Adaptation. IJCAI Zeyu Zhang, Chun Shen, Shuai Lü, Shaojie Zhang
2024	A*	`conf`	Reviewing the Forgotten Classes for Domain Adaptation of Black-Box Predictors. AAAI Shaojie Zhang, Chun Shen, Shuai Lü, Zeyu Zhang
2023	A*	`conf`	Adaptive Estimation Q-learning with Uncertainty and Familiarity. IJCAI Xiaoyu Gong, Shuai Lü, Jiayu Yu, Sheng Zhu, Zongze Li
2023	J	`jnl`	Entropy regularization methods for parameter space exploration. Inf. Sci. Shuai Han, Wenbo Zhou, Shuai Lü, Sheng Zhu, Xiaoyu Gong
2023	J	`jnl`	Guided deterministic policy optimization with gradient-free policy parameters information. Expert Syst. Appl. Chun Shen, Sheng Zhu, Shuai Han, Xiaoyu Gong, Shuai Lü
2022	J	`jnl`	Actor-critic with familiarity-based trajectory experience replay. Inf. Sci. Xiaoyu Gong, Jiayu Yu, Shuai Lü, Hengwei Lu
2022	J	`jnl`	Enhancing transferability and discriminability simultaneously for unsupervised domain adaptation. Knowl. Based Syst. Jingyao Li, Shuai Lü, Wenbo Zhu, Zhanshan Li
2022	J	`jnl`	NROWAN-DQN: A stable noisy network with noise reduction and online weight adjustment for exploration. Expert Syst. Appl. Shuai Han, Wenbo Zhou, Jiayi Lu, Jing Liu, Shuai Lü
2022	J	`jnl`	Proximal policy optimization via enhanced exploration efficiency. Inf. Sci. Junwei Zhang, Zhenghao Zhang, Shuai Han, Shuai Lü
2022	J	`jnl`	Sampling diversity driven exploration with state difference guidance. Expert Syst. Appl. Jiayi Lu, Shuai Han, Shuai Lü, Meng Kang, Junwei Zhang
2022	J	`jnl`	Unsupervised domain adaptation via softmax-based prototype construction and adaptation. Inf. Sci. Jingyao Li, Shuai Lü, Zhanshan Li
2021	J	`jnl`	Evolutionary Generative Adversarial Networks based on New Fitness Function and Generic Crossover Operator. CoRR Junjie Li, Jingyao Li, Wenbo Zhou, Shuai Lü
2021	B	`conf`	Evolutionary Generative Adversarial Networks with Crossover Based Knowledge Distillation. IJCNN Junjie Li, Junwei Zhang, Xiaoyu Gong, Shuai Lü
2021	J	`jnl`	Evolutionary Generative Adversarial Networks with Crossover Based Knowledge Distillation. CoRR Junjie Li, Junwei Zhang, Xiaoyu Gong, Shuai Lü
2021	J	`jnl`	Feature concatenation for adversarial domain adaptation. Expert Syst. Appl. Jingyao Li, Zhanshan Li, Shuai Lü
2021	J	`jnl`	Recruitment-imitation mechanism for evolutionary reinforcement learning. Inf. Sci. Shuai Lü, Shuai Han, Wenbo Zhou, Junwei Zhang
2021	J	`jnl`	Regularly updated deterministic policy gradient algorithm. Knowl. Based Syst. Shuai Han, Wenbo Zhou, Shuai Lü, Jiayu Yu
2021	J	`jnl`	Unsupervised double weighted domain adaptation. Neural Comput. Appl. Jingyao Li, Zhanshan Li, Shuai Lü
2020	—	`conf`	Deep Recurrent Deterministic Policy Gradient for Physical Control. ICANN (2) Lei Zhang, Shuai Han, Zhiruo Zhang, Lefan Li, Shuai Lü
2020	J	`jnl`	NROWAN-DQN: A Stable Noisy Network with Noise Reduction and Online Weight Adjustment for Exploration. CoRR Shuai Han, Wenbo Zhou, Jing Liu, Shuai Lü
2020	J	`jnl`	Proximal Policy Optimization via Enhanced Exploration Efficiency. CoRR Junwei Zhang, Zhenghao Zhang, Shuai Han, Shuai Lü
2020	J	`jnl`	Regularly Updated Deterministic Policy Gradient Algorithm. CoRR Shuai Han, Wenbo Zhou, Shuai Lü, Jiayu Yu
2020	J	`jnl`	Visual field movement detection model based on low-resolution images. Int. J. Embed. Syst. Guangli Li, Lei Liu, Tongbo Zhang, Hang Yu, Yue Xu, Shuai Lü
2019	J	`jnl`	An Executable Specification of Map-Join-Reduce Using Haskell. IEEE Access Junqi Ren, Lei Liu, Feng Liu, Wenbo Zhou, Shuai Lü
2019	J	`jnl`	Augmenting Negation Normal Form With Irrelevant Variables. IEEE Access Dangdang Niu, Lei Liu, Shuai Lü
2019	J	`jnl`	Recruitment-imitation Mechanism for Evolutionary Reinforcement Learning. CoRR Shuai Lü, Shuai Han, Wenbo Zhou, Junwei Zhang
2019	J	`jnl`	Toward Formal Modeling and Verification of Resource Provisioning as a Service in Cloud. IEEE Access Wenbo Zhou, Lei Liu, Shuai Lü, Peng Zhang
2018	—	`conf`	Approximate Model Counting Via Extension Rule and Clause Reduction. ICIIP Hao Liu, Ziao Ni, Wenyang Zhou, Tongbo Zhang, Shuai Lü
2018	—	`conf`	Multi-Source News Recommender System Based on Convolutional Neural Networks. ICIIP Boyang Yu, Jiejing Shao, Quan Cheng, Hang Yu, Guangli Li, Shuai Lü
2018	J	`jnl`	New stochastic local search approaches for computing preferred extensions of abstract argumentation. AI Commun. Dangdang Niu, Lei Liu, Shuai Lü
2018	J	`jnl`	SDAC: A model for analysis of the execution semantics of data processing framework in cloud. Comput. Lang. Syst. Struct. Wenbo Zhou, Lei Liu, Peng Zhang, Shuai Lü, Jingyao Li
2017	—	`conf`	A New Method for Computing Preferred Extensions. ICIIP Xindi Zhang, Xiaojie Xie, Yancen Pan, Dangdang Niu, Shuai Lü
2017	—	`conf`	An Energy-aware Virtual Machine Placement Algorithm in Cloud Data Center. ICIIP Mingzhe Tan, Ce Chi, Jiahao Zhang, Shichang Zhao, Guangli Li, Shuai Lü
2017	J	`jnl`	Redundancy checking algorithms based on parallel novel extension rule. J. Exp. Theor. Artif. Intell. Lei Liu, Yang Yang, Guangli Li, Qi Wang, Shuai Lü
2017	—	`conf`	WPNet: Wallpaper Recommendation with Deep Convolutional Neural Networks. GSKI (2) Hang Yu, Quan Cheng, Jiejing Shao, Boyang Yu, Guangli Li, Shuai Lü
2016	A	`conf`	A New Stochastic Local Search Approach for Computing Preferred Extensions of Abstract Argumentation. ECAI Dangdang Niu, Lei Liu, Shuai Lü
2016	—	`conf`	ANN: a heuristic search algorithm based on artificial neural networks. ICIIP Guangli Li, Guancheng Wang, Qiang Wang, Fan Fei, Shuai Lü, Degui Guo
2016	J	`jnl`	Security analysis model, system architecture and relational model of enterprise cloud services. Int. J. Autom. Comput. Dangdang Niu, Lei Liu, Xin Zhang, Shuai Lü, Zhuang Li