Yunzhuo Liu

According to our database, Yunzhuo Liu authored at least 10 papers between 2020 and 2023.

Collaborative distances:

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

2023

Threshold-Based Routing-Topology Co-Design for Optical Data Center.

Peirui Cao, Shizhen Zhao, Dai Zhang, Zhuotao Liu, Mingwei Xu, Min Yee Teh, Yunzhuo Liu, Xinbing Wang, Chenghu Zhou

IEEE/ACM Trans. Netw., December, 2023

Local Cluster-Aware Attention for Non-Euclidean Structure Data.

Ming Zhuo, Yunzhuo Liu, Leyuan Liu, Shijie Zhou

Symmetry, March, 2023

Mobile Payment Protocol with Deniably Authenticated Property.

Yunzhuo Liu, Wen Huang, Ming Zhuo, Shijie Zhou, Mengshi Li

Sensors, 2023

Isolated Scheduling for Distributed Training Tasks in GPU Clusters.

Xinchi Han, Weihao Jiang, Peirui Cao, Qinwei Yang, Yunzhuo Liu, Shuyao Qi, Shengkai Lin, Shizhen Zhao

CoRR, 2023

X-Plane: A High-Throughput Large-Capacity 5G UPF.

Yunzhuo Liu, Hao Nie, Hui Cai, Bo Jiang, Pengyu Zhang, Yirui Liu, Yidong Yao, Xionglie Wei, Biao Lyu, Chenren Xu, Shunmin Zhu, Xinbing Wang

Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

Libra: Contention-Aware GPU Thread Allocation for Data Parallel Training in High Speed Networks.

Yunzhuo Liu, Bo Jiang, Shizhen Zhao, Tao Lin, Xinbing Wang, Chenghu Zhou

Proceedings of the IEEE INFOCOM 2023, 2023

Measuring the Impact of Gradient Accumulation on Cloud-based Distributed Training.

Zimeng Huang, Bo Jiang, Tian Guo, Yunzhuo Liu

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2021

FuncPipe: A Pipelined Serverless Framework for Fast and Cost-Efficient Training of Deep Learning Models.

Yunzhuo Liu, Bo Jiang, Tian Guo, Zimeng Huang, Wenhao Ma, Xinbing Wang, Chenghu Zhou

Proc. ACM Meas. Anal. Comput. Syst., 2021

TROD: Evolving From Electrical Data Center to Optical Data Center.

Peirui Cao, Shizhen Zhao, Min Yee Teh, Yunzhuo Liu, Xinbing Wang

Proceedings of the 29th IEEE International Conference on Network Protocols, 2021

2020

Grad: Learning for Overhead-aware Adaptive Video Streaming with Scalable Video Coding.

Yunzhuo Liu, Bo Jiang, Tian Guo, Ramesh K. Sitaraman, Don Towsley, Xinbing Wang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020