cRVR: A Stackelberg Game Approach for Joint Privacy-Aware Video Requesting and Edge Caching. - Xianzhi Zhang; Linchang Xiao; Yipeng Zhou; Miao Hu 001; Di Wu 001; Gang Liu 028 (CoRR, 2023)

EWS: Towards Cost-Effective Job Scheduling via Combinatorial Multi-Armed Bandit Learning. - Linchang Xiao; Zili Xiao; Di Wu 001; Miao Hu 001 (NAS, 2024)

NAAM: Enhancing Automatic Task Mapping Efficiency on NUMA Machines. - Yifei Yang; Tianyufei Zhou; Linchang Xiao; Chengrun Yang; Xuezheng Liu; Miao Hu 001; Di Wu 001 (PDCAT, 2024)

PPVF: An Efficient Privacy-Preserving Online Video Fetching Framework with Correlated Differential Privacy. - Xianzhi Zhang; Yipeng Zhou; Di Wu 001; Quan Z. Sheng; Miao Hu 001; Linchang Xiao (CoRR, 2024)

History-Aware Privacy Budget Allocation for Model Training on Evolving Data-Sharing Platforms. - Linchang Xiao; Xianzhi Zhang; Di Wu 001; Miao Hu 001; Yipeng Zhou; Shui Yu 001 (IEEE Trans. Serv. Comput., 2024)

Automated Resource Orchestration for Large-Scale Heterogeneous Applications. - Quanfeng Liang; Linchang Xiao; Miao Hu (HPSC, 2025)

DRL-MOSHRS: A Deep Reinforcement Learning Approach for Multi-Objective Scheduling in Heterogeneous HPC Systems. - Yifei Yang; Linchang Xiao; Tianyufei Zhou; Chengrun Yang; Xuezheng Liu; Miao Hu 001 (HPSC, 2025)

TaskFlare: A Heterogeneity-aware Unified Scheduling Framework for Diverse Domain-Specific Applications in Supercomputing Environments. - Tianyufei Zhou; Yifei Yang; Chengrun Yang; Linchang Xiao; Xuezheng Liu; Miao Hu 001 (HPSC, 2025)

CRS: A Cost-Aware Resource Scheduling Framework for Deep Learning Task Orchestration in Mobile Clouds. - Linchang Xiao; Zili Xiao; Di Wu 001; Miao Hu 001; Yipeng Zhou (IEEE Trans. Mob. Comput., 2025)

A Survey on Privacy-Preserving Caching at Network Edge: Classification, Solutions, and Challenges. - Xianzhi Zhang; Yipeng Zhou; Di Wu 001; Quan Z. Sheng; Shazia Riaz; Miao Hu 001; Linchang Xiao (ACM Comput. Surv., 2025)