Shuai Lü

Orcid: 0000-0002-8081-4498

Affiliations:
  • Jilin University, Changchun, China
  • Ministry of Education, Key Laboratory of Symbolic Computation and Knowledge Engineering, Changchun, China


According to our database1, Shuai Lü authored at least 52 papers between 2006 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Combined data augmentation framework for generalizing deep reinforcement learning from pixels.
Expert Syst. Appl., 2025

2024
Combining bounded solving and controllable randomization for approximate model counting.
J. Exp. Theor. Artif. Intell., October, 2024

Explorer-Actor-Critic: Better actors for deep reinforcement learning.
Inf. Sci., 2024

Mixed experience sampling for off-policy reinforcement learning.
Expert Syst. Appl., 2024

Consistency regularization-based mutual alignment for source-free domain adaptation.
Expert Syst. Appl., 2024

Reconfigurability-Aware Selection for Contrastive Active Domain Adaptation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Alleviating Imbalanced Pseudo-label Distribution: Self-Supervised Multi-Source Domain Adaptation with Label-specific Confidence.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Double Buffers CEM-TD3: More Efficient Evolution and Richer Exploration.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Reviewing the Forgotten Classes for Domain Adaptation of Black-Box Predictors.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Low Category Uncertainty and High Training Potential Instance Learning for Unsupervised Domain Adaptation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Guided deterministic policy optimization with gradient-free policy parameters information.
Expert Syst. Appl., November, 2023

Entropy regularization methods for parameter space exploration.
Inf. Sci., April, 2023

Adaptive Estimation Q-learning with Uncertainty and Familiarity.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Enhancing transferability and discriminability simultaneously for unsupervised domain adaptation.
Knowl. Based Syst., 2022

Proximal policy optimization via enhanced exploration efficiency.
Inf. Sci., 2022

Unsupervised domain adaptation via softmax-based prototype construction and adaptation.
Inf. Sci., 2022

Actor-critic with familiarity-based trajectory experience replay.
Inf. Sci., 2022

Sampling diversity driven exploration with state difference guidance.
Expert Syst. Appl., 2022

NROWAN-DQN: A stable noisy network with noise reduction and online weight adjustment for exploration.
Expert Syst. Appl., 2022

2021
Unsupervised double weighted domain adaptation.
Neural Comput. Appl., 2021

Regularly updated deterministic policy gradient algorithm.
Knowl. Based Syst., 2021

Recruitment-imitation mechanism for evolutionary reinforcement learning.
Inf. Sci., 2021

Feature concatenation for adversarial domain adaptation.
Expert Syst. Appl., 2021

Evolutionary Generative Adversarial Networks based on New Fitness Function and Generic Crossover Operator.
CoRR, 2021

Evolutionary Generative Adversarial Networks with Crossover Based Knowledge Distillation.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Visual field movement detection model based on low-resolution images.
Int. J. Embed. Syst., 2020

NROWAN-DQN: A Stable Noisy Network with Noise Reduction and Online Weight Adjustment for Exploration.
CoRR, 2020

Deep Recurrent Deterministic Policy Gradient for Physical Control.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019
Toward Formal Modeling and Verification of Resource Provisioning as a Service in Cloud.
IEEE Access, 2019

An Executable Specification of Map-Join-Reduce Using Haskell.
IEEE Access, 2019

Augmenting Negation Normal Form With Irrelevant Variables.
IEEE Access, 2019

2018
SDAC: A model for analysis of the execution semantics of data processing framework in cloud.
Comput. Lang. Syst. Struct., 2018

New stochastic local search approaches for computing preferred extensions of abstract argumentation.
AI Commun., 2018

Multi-Source News Recommender System Based on Convolutional Neural Networks.
Proceedings of the 3rd International Conference on Intelligent Information Processing, 2018

Approximate Model Counting Via Extension Rule and Clause Reduction.
Proceedings of the 3rd International Conference on Intelligent Information Processing, 2018

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).
计算机科学, 2017

Redundancy checking algorithms based on parallel novel extension rule.
J. Exp. Theor. Artif. Intell., 2017

A New Method for Computing Preferred Extensions.
Proceedings of the 2nd International Conference on Intelligent Information Processing, 2017

An Energy-aware Virtual Machine Placement Algorithm in Cloud Data Center.
Proceedings of the 2nd International Conference on Intelligent Information Processing, 2017

WPNet: Wallpaper Recommendation with Deep Convolutional Neural Networks.
Proceedings of the Geo-Spatial Knowledge and Intelligence - 5th International Conference, 2017

2016
Security analysis model, system architecture and relational model of enterprise cloud services.
Int. J. Autom. Comput., 2016

ANN: a heuristic search algorithm based on artificial neural networks.
Proceedings of the 2016 International Conference on Intelligent Information Processing, 2016

A New Stochastic Local Search Approach for Computing Preferred Extensions of Abstract Argumentation.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2013
A Novel Heuristic Usage of Helpful Actions for Conformant-FF System.
J. Comput., 2013

2012
Rough Description Logic Programs.
J. Comput., 2012

2011
A hybrid system combining intuitionistic fuzzy description logics with intuitionistic fuzzy logic programs.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

2009
A novel hybrid differential evolution and particle swarm optimization algorithm for unconstrained optimization.
Oper. Res. Lett., 2009

Flexible planning using fuzzy description logics: Theory and application.
Appl. Soft Comput., 2009

2007
The Regulation of Gene Expression in E-Cell.
Proceedings of the Third International Conference on Natural Computation, 2007

Flexible Planning Using Fuzzy Description Logics.
Proceedings of the 2007 International Conference on Artificial Intelligence, 2007

2006
Improved Propositional Extension Rule.
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006

Solving Uncertain Markov Decision Problems: An Interval-Based Method.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006


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