Shuai Wang

According to our database, Shuai Wang authored at least 18 papers between 2018 and 2023.

Collaborative distances:

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

2023

Buffer-Based High-Coverage and Low-Overhead Request Event Monitoring in the Cloud.

Kaihui Gao, Chen Sun, Shuai Wang, Dan Li, Yu Zhou, Hongqiang Harry Liu, Lingjun Zhu, Ming Zhang, Xiang Deng, Cheng Zhou, Lu Lu

IEEE/ACM Trans. Netw., August, 2023

2022

Impact of Synchronization Topology on DML Performance: Both Logical Topology and Physical Topology.

Shuai Wang, Jinkun Geng, Dan Li

IEEE/ACM Trans. Netw., 2022

Predictable vFabric on informative data plane.

Shuai Wang, Kaihui Gao, Kun Qian, Dan Li, Rui Miao, Bo Li, Yu Zhou, Ennan Zhai, Chen Sun, Jiaqi Gao, Dai Zhang, Binzhang Fu, Frank Kelly, Dennis Cai, Hongqiang Harry Liu, Ming Zhang

Proceedings of the SIGCOMM '22: ACM SIGCOMM 2022 Conference, Amsterdam, The Netherlands, August 22, 2022

Buffer-based End-to-end Request Event Monitoring in the Cloud.

Kaihui Gao, Chen Sun, Shuai Wang, Dan Li, Yu Zhou, Hongqiang Harry Liu, Lingjun Zhu, Ming Zhang

Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

Bandwidth-efficient Microburst Measurement in Large-scale Datacenter Networks.

Kaihui Gao, Dan Li, Shuai Wang

Proceedings of the 6th Asia-Pacific Workshop on Networking, 2022

2020

A Scalable, High-Performance, and Fault-Tolerant Network Architecture for Distributed Machine Learning.

Songtao Wang, Dan Li, Yang Cheng, Jinkun Geng, Yanshu Wang, Shuai Wang, Shutao Xia, Jianping Wu

IEEE/ACM Trans. Netw., 2020

Improving Positive Unlabeled Learning: Practical AUL Estimation and New Training Method for Extremely Imbalanced Data Sets.

Liwei Jiang, Dan Li, Qisheng Wang, Shuai Wang, Songtao Wang

CoRR, 2020

Geryon: Accelerating Distributed CNN Training by Network-Level Flow Scheduling.

Shuai Wang, Dan Li, Jinkun Geng

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Fela: Incorporating Flexible Parallelism and Elastic Tuning to Accelerate Large-Scale DML.

Jinkun Geng, Dan Li, Shuai Wang

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

CEFS: compute-efficient flow scheduling for iterative synchronous applications.

Shuai Wang, Dan Li, Jiansong Zhang, Wei Lin

Proceedings of the CoNEXT '20: The 16th International Conference on emerging Networking EXperiments and Technologies, 2020

2019

HiPower: A High-Performance RDMA Acceleration Solution for Distributed Transaction Processing.

Runhua Zhang, Yang Cheng, Jinkun Geng, Shuai Wang, Kaihui Gao, Guowei Shen

Proceedings of the Network and Parallel Computing, 2019

Impact of Network Topology on the Performance of DML: Theoretical Analysis and Practical Factors.

Shuai Wang, Dan Li, Jinkun Geng, Yue Gu, Yang Cheng

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Rima: An RDMA-Accelerated Model-Parallelized Solution to Large-Scale Matrix Factorization.

Jinkun Geng, Dan Li, Shuai Wang

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

ElasticPipe: An Efficient and Dynamic Model-Parallel Solution to DNN Training.

Jinkun Geng, Dan Li, Shuai Wang

Proceedings of the 10th Workshop on Scientific Cloud Computing, 2019

Horizontal or Vertical?: A Hybrid Approach to Large-Scale Distributed Machine Learning.

Jinkun Geng, Dan Li, Shuai Wang

Proceedings of the 10th Workshop on Scientific Cloud Computing, 2019

Accelerating Distributed Machine Learning by Smart Parameter Server.

Jinkun Geng, Dan Li, Shuai Wang

Proceedings of the 3rd Asia-Pacific Workshop on Networking, 2019

2018

HiPS: Hierarchical Parameter Synchronization in Large-Scale Distributed Machine Learning.

Jinkun Geng, Dan Li, Yang Cheng, Shuai Wang, Junfeng Li

Proceedings of the 2018 Workshop on Network Meets AI & ML, 2018

BML: A High-performance, Low-cost Gradient Synchronization Algorithm for DML Training.

Songtao Wang, Dan Li, Yang Cheng, Jinkun Geng, Yanshu Wang, Shuai Wang, Shu-Tao Xia, Jianping Wu

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018