Puyu Cai

According to our database, Puyu Cai authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

SAFL: Structure-Aware Personalized Federated Learning via Client-Specific Clustering and SCSI-Guided Model Pruning.

Nan Li, Xiaolu Wang, Xiao Du, Puyu Cai, Ting Wang

CoRR, January, 2025

Large-Scale Evolutionary Multi-Objective Optimization Via Specialty-Guided Fast Non-Dominated Sorting.

Xiuzuo Wu, Hao Wu, Puyu Cai, Yanyan Kang, Lu Wang, Ting Wang

Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

SAFL: Structure-Aware Personalized Federated Learning via Client-Specific Clustering and SCSI-Guided Model Pruning.

Nan Li, Xiaolu Wang, Xiao Du, Chengcheng Wang, Puyu Cai, Ting Wang

Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

Multi-Objective Deep Reinforcement Learning for Adaptive Virtual Machine Allocation in Clouds.

Yuzi Chen, Jie Sun, Xiao Du, Puyu Cai, Ting Wang

Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

2023

A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities.

Yisheng Song, Ting Wang, Puyu Cai, Subrota K. Mondal, Jyoti Prakash Sahoo

ACM Comput. Surv., 2023

Prism: High-throughput LoRa Backscatter with Non-linear Chirps.

Yidong Ren, Puyu Cai, Jinyan Jiang, Jialuo Du, Zhichao Cao

Proceedings of the IEEE INFOCOM 2023, 2023

Towards Efficient Workflow Scheduling Over Yarn Cluster Using Deep Reinforcement Learning.

Jianguo Xue, Ting Wang, Puyu Cai

Proceedings of the IEEE Global Communications Conference, 2023