Yiming Peng

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 31

Top Topics

Multiobjective Evolutionary Algorithms

Policy Gradient

Portfolio Selection

Top Venues

Qual. Reliab. Eng. Int.

Publications

Yiming Peng, Vadim Linetsky
Partially egalitarian portfolio selection. Oper. Res. Lett. 52 (2024)
Guirong Zhang, Yiming Peng, Hai Wang
Road Traffic Sign Detection Method Based on RTS R-CNN Instance Segmentation Network. Sensors 23 (14) (2023)
Yiming Peng, Hisao Ishibuchi
Dynamic Multi-modal Multi-objective Optimization: A Preliminary Study. PPSN (2) (2022)
Yiming Peng, Hisao Ishibuchi
A Diversity-Enhanced Subset Selection Framework for Multimodal Multiobjective Optimization. IEEE Trans. Evol. Comput. 26 (5) (2022)
Yiming Peng, Vadim Linetsky
Portfolio Selection: A Statistical Learning Approach. ICAIF (2022)
Hisao Ishibuchi, Yiming Peng, Lie Meng Pang
Multi-Modal Multi-Objective Test Problems with an Infinite Number of Equivalent Pareto Sets. CEC (2022)
Jinyuan Zhang, Hisao Ishibuchi, Ke Shang, Linjun He, Lie Meng Pang, Yiming Peng
Environmental selection using a fuzzy classifier for multiobjective evolutionary algorithms. GECCO (2021)
Feng Ke, Yiming Peng, Yingru Peng, Derrick Wing Kwan Ng
Resource Allocation for MIMO Full-Duplex Backscatter Assisted Wireless-Powered Communication Network With Finite Alphabet Inputs. IEEE Trans. Commun. 69 (2) (2021)
Yiming Peng, Hisao Ishibuchi
Niching Diversity Estimation for Multi-modal Multi-objective Optimization. EMO (2021)
Yiming Peng, Hisao Ishibuchi
A Decomposition-based Hybrid Evolutionary Algorithm for Multi-modal Multi-objective Optimization. SMC (2021)
Yunlong Li, Yiming Peng, Dengzheng Zhang, Yingan Mai, Zhengrong Ruan
XGBoost energy consumption prediction based on multi-system data HVAC. CoRR (2021)
Yiming Peng, Hisao Ishibuchi
Niching Diversity Estimation for Multi-modal Multi-objective Optimization. CoRR (2021)
Yiming Peng, Hisao Ishibuchi
A Decomposition-based Large-scale Multi-modal Multi-objective Optimization Algorithm. CoRR (2020)
Yiming Peng, Hisao Ishibuchi
A Decomposition-based Large-scale Multi-modal Multi-objective optimization Algorithm. CEC (2020)
Yiming Peng, Gang Chen, Mengjie Zhang
Effective Linear Policy Gradient Search through Primal-Dual Approximation. IJCNN (2020)
Yiming Peng, Hisao Ishibuchi, Ke Shang
Multi-modal Multi-objective Optimization: Problem Analysis and Case Studies. SSCI (2019)
Gang Chen, Yiming Peng
Off-Policy Actor-Critic in an Ensemble: Achieving Maximum General Entropy and Effective Environment Exploration in Deep Reinforcement Learning. CoRR (2019)
Hisao Ishibuchi, Yiming Peng, Ke Shang
A Scalable Multimodal Multiobjective Test Problem. CEC (2019)
Nianyu Li, Di Bai, Yiming Peng, Zhuoqun Yang, Wenpin Jiao
Verifying Stochastic Behaviors of Decentralized Self-Adaptive Systems: A Formal Modeling and Simulation Based Approach. QRS (2018)
Gang Chen, Yiming Peng, Mengjie Zhang
An Adaptive Clipping Approach for Proximal Policy Optimization. CoRR (2018)
Gang Chen, Yiming Peng, Mengjie Zhang
Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles under Tsallis Entropy Regularization. CoRR (2018)
Guobin Zhang, Feng Ke, Yiming Peng, Chong Zhang, Haijun Zhang
User Access and Resource Allocation in Full-Duplex User-Centric Ultra-Dense Heterogeneous Networks. GLOBECOM (2018)
Yiming Peng, Gang Chen, Harman Singh, Mengjie Zhang
NEAT for large-scale reinforcement learning through evolutionary feature learning and policy gradient search. GECCO (2018)
Gang Chen, Yiming Peng, Mengjie Zhang
Constrained Expectation-Maximization Methods for Effective Reinforcement Learning. IJCNN (2018)
Yiming Peng, Gang Chen, Scott Holdaway, Yi Mei, Mengjie Zhang
Automated state feature learning for actor-critic reinforcement learning through NEAT. GECCO (Companion) (2017)
Yiming Peng, Gang Chen, Mengjie Zhang, Shaoning Pang
A sandpile model for reliable actor-critic reinforcement learning. IJCNN (2017)
Jaeheon Lee, Yiming Peng, Ning Wang, Marion R. Reynolds Jr.
A GLR control chart for monitoring a multinomial process. Qual. Reliab. Eng. Int. 33 (8) (2017)
Yiming Peng, Gang Chen, Mengjie Zhang, Yi Mei
Effective Policy Gradient Search for Reinforcement Learning Through NEAT Based Feature Extraction. SEAL (2017)
Will Hardwick-Smith, Yiming Peng, Gang Chen, Yi Mei, Mengjie Zhang
Evolving Transferable Artificial Neural Networks for Gameplay Tasks via NEAT with Phased Searching. Australasian Conference on Artificial Intelligence (2017)
Kai Shi, Luokun Ren, Yiming Peng, Huijia Li
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 44 (Z6) (2017)
Yiming Peng, Gang Chen, Mengjie Zhang, Shaoning Pang
Generalized Compatible Function Approximation for Policy Gradient Search. ICONIP (1) (2016)
Shaoning Pang, Yiming Peng, Tao Ban, Daisuke Inoue, Abdolhossein Sarrafzadeh
A federated network online network traffics analysis engine for cybersecurity. IJCNN (2015)
Liaosa Xu, Yiming Peng, Marion R. Reynolds Jr.
An Individuals Generalized Likelihood Ratio Control Chart for Monitoring Linear Profiles. Qual. Reliab. Eng. Int. 31 (4) (2015)
Yiming Peng, Liaosa Xu, Marion R. Reynolds Jr.
The Design of the Variable Sampling Interval Generalized Likelihood Ratio Chart for Monitoring the Process Mean. Qual. Reliab. Eng. Int. 31 (2) (2015)
Min Zhang, Yiming Peng, Anna Schuh, Fadel M. Megahed, William H. Woodall
Geometric Charts with Estimated Control Limits. Qual. Reliab. Eng. Int. 29 (2) (2013)
Yiming Peng, Shaoning Pang, Gang Chen, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue
Chunk incremental IDR/QR LDA learning. IJCNN (2013)
Anthony Lai, Lei Song, Yiming Peng, Peter Zhang, Qili Wang, Shaoning Pang
Exploring Crude Oil Impacts to Oil Stocks through Graphical Computational Correlation Analysis. ICONIP (5) (2012)