Yiming Peng

Orcid: 0000-0003-2385-5899

According to our database1, Yiming Peng authored at least 35 papers between 2012 and 2023.

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

Timeline

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Links

On csauthors.net:

Bibliography

2023
Road Traffic Sign Detection Method Based on RTS R-CNN Instance Segmentation Network.
Sensors, July, 2023

2022
A Diversity-Enhanced Subset Selection Framework for Multimodal Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2022

Dynamic Multi-modal Multi-objective Optimization: A Preliminary Study.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Portfolio Selection: A Statistical Learning Approach.
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

XGBoost energy consumption prediction based on multi-system data HVAC.
CoRR, 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

Niching Diversity Estimation for Multi-modal Multi-objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

2020
Effective Linear Policy Gradient Search through Primal-Dual Approximation.
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
Policy Direct Search for Effective Reinforcement Learning.
PhD thesis, 2019

Off-Policy Actor-Critic in an Ensemble: Achieving Maximum General Entropy and Effective Environment Exploration in Deep Reinforcement Learning.
CoRR, 2019

Multi-modal Multi-objective Optimization: Problem Analysis and Case Studies.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Scalable Multimodal Multiobjective Test Problem.
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

An Adaptive Clipping Approach for Proximal Policy Optimization.
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

Constrained Expectation-Maximization Methods for Effective Reinforcement Learning.
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
A GLR control chart for monitoring a multinomial process.
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

A sandpile model for reliable actor-critic reinforcement learning.
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
Generalized Compatible Function Approximation for Policy Gradient Search.
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

A federated network online network traffics analysis engine for cybersecurity.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2013
Geometric Charts with Estimated Control Limits.
Qual. Reliab. Eng. Int., 2013

Chunk incremental IDR/QR LDA learning.
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


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