Exploring Crude Oil Impacts to Oil Stocks through Graphical Computational Correlation Analysis. - Anthony Lai; Lei Song; Yiming Peng; Peter Zhang; Qili Wang; Shaoning Pang 001 (ICONIP (5), 2012)

Chunk incremental IDR/QR LDA learning. - Yiming Peng; Shaoning Pang 001; Gang Chen 002; Abdolhossein Sarrafzadeh; Tao Ban; Daisuke Inoue (IJCNN, 2013)

Geometric Charts with Estimated Control Limits. - Min Zhang; Yiming Peng; Anna Schuh; Fadel M. Megahed; William H. Woodall (Qual. Reliab. Eng. Int., 2013)

A federated network online network traffics analysis engine for cybersecurity. - Shaoning Pang 001; Yiming Peng; Tao Ban; Daisuke Inoue; Abdolhossein Sarrafzadeh (IJCNN, 2015)

The Design of the Variable Sampling Interval Generalized Likelihood Ratio Chart for Monitoring the Process Mean. - Yiming Peng; Liaosa Xu; Marion R. Reynolds Jr. (Qual. Reliab. Eng. Int., 2015)

An Individuals Generalized Likelihood Ratio Control Chart for Monitoring Linear Profiles. - Liaosa Xu; Yiming Peng; Marion R. Reynolds Jr. (Qual. Reliab. Eng. Int., 2015)

Generalized Compatible Function Approximation for Policy Gradient Search. - Yiming Peng; Gang Chen 002; Mengjie Zhang 001; Shaoning Pang 001 (ICONIP (1), 2016)

Evolving Transferable Artificial Neural Networks for Gameplay Tasks via NEAT with Phased Searching. - Will Hardwick-Smith; Yiming Peng; Gang Chen 002; Yi Mei 001; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2017)

Automated state feature learning for actor-critic reinforcement learning through NEAT. - Yiming Peng; Gang Chen 002; Scott Holdaway; Yi Mei 001; Mengjie Zhang 001 (GECCO (Companion), 2017)

A sandpile model for reliable actor-critic reinforcement learning. - Yiming Peng; Gang Chen 002; Mengjie Zhang 001; Shaoning Pang 001 (IJCNN, 2017)

Effective Policy Gradient Search for Reinforcement Learning Through NEAT Based Feature Extraction. - Yiming Peng; Gang Chen 002; Mengjie Zhang 001; Yi Mei 001 (SEAL, 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). - Kai Shi; Luokun Ren; Yiming Peng; Huijia Li (计算机科学, 2017)

A GLR control chart for monitoring a multinomial process. - Jaeheon Lee; Yiming Peng; Ning Wang; Marion R. Reynolds Jr. (Qual. Reliab. Eng. Int., 2017)

NEAT for large-scale reinforcement learning through evolutionary feature learning and policy gradient search. - Yiming Peng; Gang Chen 002; Harman Singh; Mengjie Zhang 001 (GECCO, 2018)

User Access and Resource Allocation in Full-Duplex User-Centric Ultra-Dense Heterogeneous Networks. - Guobin Zhang; Feng Ke; Yiming Peng; Chong Zhang; Haijun Zhang 001 (GLOBECOM, 2018)

Constrained Expectation-Maximization Methods for Effective Reinforcement Learning. - Gang Chen 002; Yiming Peng; Mengjie Zhang 001 (IJCNN, 2018)

Verifying Stochastic Behaviors of Decentralized Self-Adaptive Systems: A Formal Modeling and Simulation Based Approach. - Nianyu Li; Di Bai 005; Yiming Peng; Zhuoqun Yang; Wenpin Jiao (QRS, 2018)

An Adaptive Clipping Approach for Proximal Policy Optimization. - Gang Chen 002; Yiming Peng; Mengjie Zhang 001 (CoRR, 2018)

Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles under Tsallis Entropy Regularization. - Gang Chen 002; Yiming Peng; Mengjie Zhang 001 (CoRR, 2018)

A Scalable Multimodal Multiobjective Test Problem. - Hisao Ishibuchi; Yiming Peng; Ke Shang (CEC, 2019)

Multi-modal Multi-objective Optimization: Problem Analysis and Case Studies. - Yiming Peng; Hisao Ishibuchi; Ke Shang (SSCI, 2019)

Off-Policy Actor-Critic in an Ensemble: Achieving Maximum General Entropy and Effective Environment Exploration in Deep Reinforcement Learning. - Gang Chen 002; Yiming Peng (CoRR, 2019)

Policy Direct Search for Effective Reinforcement Learning. - Yiming Peng (2019)

A Decomposition-based Large-scale Multi-modal Multi-objective optimization Algorithm. - Yiming Peng; Hisao Ishibuchi (CEC, 2020)

Effective Linear Policy Gradient Search through Primal-Dual Approximation. - Yiming Peng; Gang Chen 002; Mengjie Zhang 001 (IJCNN, 2020)

Niching Diversity Estimation for Multi-modal Multi-objective Optimization. - Yiming Peng; Hisao Ishibuchi (EMO, 2021)

Environmental selection using a fuzzy classifier for multiobjective evolutionary algorithms. - Jinyuan Zhang; Hisao Ishibuchi; Ke Shang; Linjun He; Lie Meng Pang; Yiming Peng (GECCO, 2021)

A Decomposition-based Hybrid Evolutionary Algorithm for Multi-modal Multi-objective Optimization. - Yiming Peng; Hisao Ishibuchi (SMC, 2021)

XGBoost energy consumption prediction based on multi-system data HVAC. - Yunlong Li; Yiming Peng; Dengzheng Zhang; Yingan Mai; Zhengrong Ruan (CoRR, 2021)

Resource Allocation for MIMO Full-Duplex Backscatter Assisted Wireless-Powered Communication Network With Finite Alphabet Inputs. - Feng Ke; Yiming Peng; Yingru Peng; Derrick Wing Kwan Ng (IEEE Trans. Commun., 2021)

Multi-Modal Multi-Objective Test Problems with an Infinite Number of Equivalent Pareto Sets. - Hisao Ishibuchi; Yiming Peng; Lie Meng Pang (CEC, 2022)

Portfolio Selection: A Statistical Learning Approach. - Yiming Peng; Vadim Linetsky (ICAIF, 2022)

Dynamic Multi-modal Multi-objective Optimization: A Preliminary Study. - Yiming Peng; Hisao Ishibuchi (PPSN (2), 2022)

A Diversity-Enhanced Subset Selection Framework for Multimodal Multiobjective Optimization. - Yiming Peng; Hisao Ishibuchi (IEEE Trans. Evol. Comput., 2022)

Taper Residual Dense Network for Audio Super-Resolution. - Junmei Yang; Haosen Lin; Yiming Peng (ICANN (10), 2023)

Road Traffic Sign Detection Method Based on RTS R-CNN Instance Segmentation Network. - Guirong Zhang; Yiming Peng; Hai Wang 003 (Sensors, 2023)

Towards Equitable Diagnosis: Bias Evaluation and Mitigation in Skin Cancer Classification. - Eliana Raizman; Yiming Peng; Austin Deng (CIBCB, 2024)

Partially egalitarian portfolio selection. - Yiming Peng; Vadim Linetsky (Oper. Res. Lett., 2024)

Proximal evolutionary strategy: improving deep reinforcement learning through evolutionary policy optimization. - Yiming Peng; Gang Chen 002; Mengjie Zhang 001; Bing Xue 001 (Memetic Comput., 2024)

Advancing Large Language Models in Code Generation: Usaco Benchmark and Bug Mitigation Insights. - Jacob Trentini; Victor Liu; Yiming Peng; Ziliang Zong (ICPC, 2025)

Regularizing classifier for few-shot object detection via feature augmentation and random labeling. - Yiming Peng; Shuxiao Li (Neurocomputing, 2025)

Compact network alignment with mitigated sensitive information exposing in P2P networks: a community partition-based approach. - Rui Tang; Yiming Peng; Jingxi Li; Xingshu Chen; Yi Zhang; Xian Mo (Peer Peer Netw. Appl., 2025)