Deep Reinforcement Learning for Multi-resource Cloud Job Scheduling. - Jianpeng Lin; Zhiping Peng; Delong Cui (ICONIP (3), 2018)

A Two-Stage Framework for the Multi-User Multi-Data Center Job Scheduling and Resource Allocation. - Jianpeng Lin; Delong Cui; Zhiping Peng; Qirui Li; Jieguang He (IEEE Access, 2020)

A multi-objective trade-off framework for cloud resource scheduling based on the Deep Q-network algorithm. - Zhiping Peng; Jianpeng Lin; Delong Cui; Qirui Li; Jieguang He (Clust. Comput., 2020)

Two-stage selection of distributed data centers based on deep reinforcement learning. - Qirui Li; Zhiping Peng; Delong Cui; Jianpeng Lin; Jieguang He (Clust. Comput., 2022)

A Novel Interpretable Stock Selection Algorithm for Quantitative Trading. - Zhengrui Li; Weiwei Lin 001; James Z. Wang 002; Peng Peng 005; Jianpeng Lin; Victor Chang 001; Jianghu Pan (Int. J. Grid High Perform. Comput., 2022)

MHDNNL: A Batch Task Optimization Scheduling Algorithm in Cloud Computing. - Qirui Li; Zhiping Peng; Delong Cui; Jianpeng Lin; Jieguang He (Int. J. Inf. Technol. Web Eng., 2022)

Thermal-aware virtual machine placement based on multi-objective optimization. - Bo Liu 045; Rui Chen; Weiwei Lin 001; Wentai Wu; Jianpeng Lin; Keqin Li 001 (J. Supercomput., 2023)

Power and thermal-aware virtual machine scheduling optimization in cloud data center. - Rui Chen; Bo Liu 045; Weiwei Lin 001; Jianpeng Lin; Huiwen Cheng; Keqin Li 001 (Future Gener. Comput. Syst., 2023)

Publisher Correction to: Thermal‑aware virtual machine placement based on multi‑objective optimization. - Bo Liu 045; Rui Chen; Weiwei Lin 001; Wentai Wu; Jianpeng Lin; Keqin Li 001 (J. Supercomput., 2023)

UDL: a cloud task scheduling framework based on multiple deep neural networks. - Qirui Li; Zhiping Peng; Delong Cui; Jianpeng Lin; Hao Zhang (J. Cloud Comput., 2023)

Energy-aware virtual machine placement based on a holistic thermal model for cloud data centers. - Jianpeng Lin; Weiwei Lin 001; Wentai Wu; Wenjun Lin; Keqin Li 001 (Future Gener. Comput. Syst., 2024)

A multi-agent reinforcement learning-based method for server energy efficiency optimization combining DVFS and dynamic fan control. - Wenjun Lin; Weiwei Lin 001; Jianpeng Lin; Haocheng Zhong; Jiangtao Wang; Ligang He (Sustain. Comput. Informatics Syst., 2024)

A systematic review of green-aware management techniques for sustainable data center. - Weiwei Lin 001; Jianpeng Lin; Zhiping Peng; Huikang Huang; Wenjun Lin; Keqin Li 001 (Sustain. Comput. Informatics Syst., 2024)

Thermal Modeling and Thermal-Aware Energy Saving Methods for Cloud Data Centers: A Review. - Jianpeng Lin; Weiwei Lin 001; Huikang Huang; Wenjun Lin; Keqin Li 001 (IEEE Trans. Sustain. Comput., 2024)

Power Management Optimization for Data Centers: A Power Supply Perspective. - Huikang Huang; Weiwei Lin 001; Jianpeng Lin; Keqin Li 001 (IEEE Trans. Sustain. Comput., 2025)

An adversarial reinforcement learning method to enhance server energy efficiency via DVFS and dynamic fan speed management. - Wenjun Lin; Jianpeng Lin; Jiachun Li; Mian Guo; Ligang He; Weiwei Lin (Computing, 2025)

Public Datasets for Cloud Computing: A Comprehensive Survey. - Guozhi Liu; Weiwei Lin 001; Haotong Zhang 003; Jianpeng Lin; Shaoliang Peng; Keqin Li 001 (ACM Comput. Surv., 2025)