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Yiming Peng
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2020 – today
- 2024
- [j9]Yiming Peng, Vadim Linetsky:
Partially egalitarian portfolio selection. Oper. Res. Lett. 52: 107055 (2024) - 2023
- [j8]Guirong Zhang, Yiming Peng, Hai Wang:
Road Traffic Sign Detection Method Based on RTS R-CNN Instance Segmentation Network. Sensors 23(14): 6543 (2023) - 2022
- [j7]Yiming Peng, Hisao Ishibuchi:
A Diversity-Enhanced Subset Selection Framework for Multimodal Multiobjective Optimization. IEEE Trans. Evol. Comput. 26(5): 886-900 (2022) - [c22]Hisao Ishibuchi, Yiming Peng, Lie Meng Pang:
Multi-Modal Multi-Objective Test Problems with an Infinite Number of Equivalent Pareto Sets. CEC 2022: 1-8 - [c21]Yiming Peng, Vadim Linetsky:
Portfolio Selection: A Statistical Learning Approach. ICAIF 2022: 257-263 - [c20]Yiming Peng, Hisao Ishibuchi:
Dynamic Multi-modal Multi-objective Optimization: A Preliminary Study. PPSN (2) 2022: 138-150 - 2021
- [j6]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): 1275-1289 (2021) - [c19]Yiming Peng, Hisao Ishibuchi:
Niching Diversity Estimation for Multi-modal Multi-objective Optimization. EMO 2021: 323-334 - [c18]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: 485-492 - [c17]Yiming Peng, Hisao Ishibuchi:
A Decomposition-based Hybrid Evolutionary Algorithm for Multi-modal Multi-objective Optimization. SMC 2021: 160-167 - [i6]Yiming Peng, Hisao Ishibuchi:
Niching Diversity Estimation for Multi-modal Multi-objective Optimization. CoRR abs/2102.00383 (2021) - [i5]Yunlong Li, Yiming Peng, Dengzheng Zhang, Yingan Mai, Zhengrong Ruan:
XGBoost energy consumption prediction based on multi-system data HVAC. CoRR abs/2105.09945 (2021) - 2020
- [c16]Yiming Peng, Hisao Ishibuchi:
A Decomposition-based Large-scale Multi-modal Multi-objective optimization Algorithm. CEC 2020: 1-8 - [c15]Yiming Peng, Gang Chen, Mengjie Zhang:
Effective Linear Policy Gradient Search through Primal-Dual Approximation. IJCNN 2020: 1-8 - [i4]Yiming Peng, Hisao Ishibuchi:
A Decomposition-based Large-scale Multi-modal Multi-objective Optimization Algorithm. CoRR abs/2004.09838 (2020)
2010 – 2019
- 2019
- [b1]Yiming Peng:
Policy Direct Search for Effective Reinforcement Learning. Victoria University of Wellington, New Zealand, 2019 - [c14]Hisao Ishibuchi, Yiming Peng, Ke Shang:
A Scalable Multimodal Multiobjective Test Problem. CEC 2019: 310-317 - [c13]Yiming Peng, Hisao Ishibuchi, Ke Shang:
Multi-modal Multi-objective Optimization: Problem Analysis and Case Studies. SSCI 2019: 1865-1872 - [i3]Gang Chen, Yiming Peng:
Off-Policy Actor-Critic in an Ensemble: Achieving Maximum General Entropy and Effective Environment Exploration in Deep Reinforcement Learning. CoRR abs/1902.05551 (2019) - 2018
- [c12]Yiming Peng, Gang Chen, Harman Singh, Mengjie Zhang:
NEAT for large-scale reinforcement learning through evolutionary feature learning and policy gradient search. GECCO 2018: 490-497 - [c11]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: 1-6 - [c10]Gang Chen, Yiming Peng, Mengjie Zhang:
Constrained Expectation-Maximization Methods for Effective Reinforcement Learning. IJCNN 2018: 1-8 - [c9]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: 67-74 - [i2]Gang Chen, Yiming Peng, Mengjie Zhang:
An Adaptive Clipping Approach for Proximal Policy Optimization. CoRR abs/1804.06461 (2018) - [i1]Gang Chen, Yiming Peng, Mengjie Zhang:
Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles under Tsallis Entropy Regularization. CoRR abs/1809.00403 (2018) - 2017
- [j5]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): 433-437 (2017) - [j4]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): 1773-1782 (2017) - [c8]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: 39-51 - [c7]Yiming Peng, Gang Chen, Scott Holdaway, Yi Mei, Mengjie Zhang:
Automated state feature learning for actor-critic reinforcement learning through NEAT. GECCO (Companion) 2017: 135-136 - [c6]Yiming Peng, Gang Chen, Mengjie Zhang, Shaoning Pang:
A sandpile model for reliable actor-critic reinforcement learning. IJCNN 2017: 4014-4021 - [c5]Yiming Peng, Gang Chen, Mengjie Zhang, Yi Mei:
Effective Policy Gradient Search for Reinforcement Learning Through NEAT Based Feature Extraction. SEAL 2017: 473-485 - 2016
- [c4]Yiming Peng, Gang Chen, Mengjie Zhang, Shaoning Pang:
Generalized Compatible Function Approximation for Policy Gradient Search. ICONIP (1) 2016: 615-622 - 2015
- [j3]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): 291-296 (2015) - [j2]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): 589-599 (2015) - [c3]Shaoning Pang, Yiming Peng, Tao Ban, Daisuke Inoue, Abdolhossein Sarrafzadeh:
A federated network online network traffics analysis engine for cybersecurity. IJCNN 2015: 1-8 - 2013
- [j1]Min Zhang, Yiming Peng, Anna Schuh, Fadel M. Megahed, William H. Woodall:
Geometric Charts with Estimated Control Limits. Qual. Reliab. Eng. Int. 29(2): 209-223 (2013) - [c2]Yiming Peng, Shaoning Pang, Gang Chen, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue:
Chunk incremental IDR/QR LDA learning. IJCNN 2013: 1-8 - 2012
- [c1]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: 309-317
Coauthor Index
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last updated on 2024-05-31 18:41 CEST by the dblp team
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