Linchang Xiao

According to our database, Linchang Xiao authored at least 11 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Pre-Fetch or Not: A Privacy-Aware Edge-User Co-Opetition Delivery Framework for Metaverse Multimedia Services.

Xianzhi Zhang, Yipeng Zhou, Linchang Xiao, Di Wu, Miao Hu, John C. S. Lui, Liangbin Zhao

IEEE Trans. Serv. Comput., 2026

PPVF: An Efficient Privacy-Preserving Online Video Fetching Framework With Correlated Differential Privacy.

Xianzhi Zhang, Yipeng Zhou, Di Wu, Quan Z. Sheng, Miao Hu, Linchang Xiao

IEEE Trans. Netw., 2026

2025

A Survey on Privacy-Preserving Caching at Network Edge: Classification, Solutions, and Challenges.

Xianzhi Zhang, Yipeng Zhou, Di Wu, Quan Z. Sheng, Shazia Riaz, Miao Hu, Linchang Xiao

ACM Comput. Surv., May, 2025

CRS: A Cost-Aware Resource Scheduling Framework for Deep Learning Task Orchestration in Mobile Clouds.

Linchang Xiao, Zili Xiao, Di Wu, Miao Hu, Yipeng Zhou

IEEE Trans. Mob. Comput., February, 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

Proceedings of the 11th IEEE International Conference on High Performance and Smart Computing, 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

Proceedings of the 11th IEEE International Conference on High Performance and Smart Computing, 2025

Automated Resource Orchestration for Large-Scale Heterogeneous Applications.

Quanfeng Liang, Linchang Xiao, Miao Hu

Proceedings of the 11th IEEE International Conference on High Performance and Smart Computing, 2025

2024

History-Aware Privacy Budget Allocation for Model Training on Evolving Data-Sharing Platforms.

Linchang Xiao, Xianzhi Zhang, Di Wu, Miao Hu, Yipeng Zhou, Shui Yu

IEEE Trans. Serv. Comput., 2024

NAAM: Enhancing Automatic Task Mapping Efficiency on NUMA Machines.

Yifei Yang, Tianyufei Zhou, Linchang Xiao, Chengrun Yang, Xuezheng Liu, Miao Hu, Di Wu

Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2024

EWS: Towards Cost-Effective Job Scheduling via Combinatorial Multi-Armed Bandit Learning.

Linchang Xiao, Zili Xiao, Di Wu, Miao Hu

Proceedings of the International Conference on Networking, Architecture and Storage, 2024

2023

cRVR: A Stackelberg Game Approach for Joint Privacy-Aware Video Requesting and Edge Caching.

Xianzhi Zhang, Linchang Xiao, Yipeng Zhou, Miao Hu, Di Wu, Gang Liu

CoRR, 2023