Yiming Peng
Orcid: 0000-0003-2385-5899
According to our database1,
Yiming Peng
authored at least 39 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
Proximal evolutionary strategy: improving deep reinforcement learning through evolutionary policy optimization.
Memetic Comput., September, 2024
Towards Equitable Diagnosis: Bias Evaluation and Mitigation in Skin Cancer Classification.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2024
2023
Sensors, July, 2023
Proceedings of the Artificial Neural Networks and Machine Learning, 2023
2022
A Diversity-Enhanced Subset Selection Framework for Multimodal Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2022
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
Proceedings of the 3rd ACM International Conference on AI in Finance, 2022
Multi-Modal Multi-Objective Test Problems with an Infinite Number of Equivalent Pareto Sets.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
Resource Allocation for MIMO Full-Duplex Backscatter Assisted Wireless-Powered Communication Network With Finite Alphabet Inputs.
IEEE Trans. Commun., 2021
A Decomposition-based Hybrid Evolutionary Algorithm for Multi-modal Multi-objective Optimization.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Environmental selection using a fuzzy classifier for multiobjective evolutionary algorithms.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021
2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
A Decomposition-based Large-scale Multi-modal Multi-objective optimization Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Off-Policy Actor-Critic in an Ensemble: Achieving Maximum General Entropy and Effective Environment Exploration in Deep Reinforcement Learning.
CoRR, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles under Tsallis Entropy Regularization.
CoRR, 2018
Verifying Stochastic Behaviors of Decentralized Self-Adaptive Systems: A Formal Modeling and Simulation Based Approach.
Proceedings of the 2018 IEEE International Conference on Software Quality, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
User Access and Resource Allocation in Full-Duplex User-Centric Ultra-Dense Heterogeneous Networks.
Proceedings of the IEEE Global Communications Conference, 2018
NEAT for large-scale reinforcement learning through evolutionary feature learning and policy gradient search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
2017
Qual. Reliab. Eng. Int., 2017
基于多节点社团意识系统的属性图聚类算法 (Attributed Graph Clustering Algorithm Based on Cluster-aware Multiagent System).
计算机科学, 2017
Effective Policy Gradient Search for Reinforcement Learning Through NEAT Based Feature Extraction.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Automated state feature learning for actor-critic reinforcement learning through NEAT.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Evolving Transferable Artificial Neural Networks for Gameplay Tasks via NEAT with Phased Searching.
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017
2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
2015
An Individuals Generalized Likelihood Ratio Control Chart for Monitoring Linear Profiles.
Qual. Reliab. Eng. Int., 2015
The Design of the Variable Sampling Interval Generalized Likelihood Ratio Chart for Monitoring the Process Mean.
Qual. Reliab. Eng. Int., 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
2012
Exploring Crude Oil Impacts to Oil Stocks through Graphical Computational Correlation Analysis.
Proceedings of the Neural Information Processing - 19th International Conference, 2012