Shuai Wang

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 18

Top Topics

Machine Learning

Network Topology

High Scalability

Distributed Stream Processing

Top Venues

IEEE/ACM Trans. Netw.

ScienceCloud@HPDC

Publications

Kaihui Gao, Chen Sun, Shuai Wang, Dan Li, Yu Zhou, Hongqiang Harry Liu, Lingjun Zhu, Ming Zhang, Xiang Deng, Cheng Zhou, Lu Lu
Buffer-Based High-Coverage and Low-Overhead Request Event Monitoring in the Cloud. IEEE/ACM Trans. Netw. 31 (4) (2023)
Kaihui Gao, Dan Li, Shuai Wang
Bandwidth-efficient Microburst Measurement in Large-scale Datacenter Networks. APNet (2022)
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
Predictable vFabric on informative data plane. SIGCOMM (2022)
Shuai Wang, Jinkun Geng, Dan Li
Impact of Synchronization Topology on DML Performance: Both Logical Topology and Physical Topology. IEEE/ACM Trans. Netw. 30 (2) (2022)
Kaihui Gao, Chen Sun, Shuai Wang, Dan Li, Yu Zhou, Hongqiang Harry Liu, Lingjun Zhu, Ming Zhang
Buffer-based End-to-end Request Event Monitoring in the Cloud. NSDI (2022)
Liwei Jiang, Dan Li, Qisheng Wang, Shuai Wang, Songtao Wang
Improving Positive Unlabeled Learning: Practical AUL Estimation and New Training Method for Extremely Imbalanced Data Sets. CoRR (2020)
Jinkun Geng, Dan Li, Shuai Wang
Fela: Incorporating Flexible Parallelism and Elastic Tuning to Accelerate Large-Scale DML. ICDE (2020)
Shuai Wang, Dan Li, Jinkun Geng
Geryon: Accelerating Distributed CNN Training by Network-Level Flow Scheduling. INFOCOM (2020)
Shuai Wang, Dan Li, Jiansong Zhang, Wei Lin
CEFS: compute-efficient flow scheduling for iterative synchronous applications. CoNEXT (2020)
Songtao Wang, Dan Li, Yang Cheng, Jinkun Geng, Yanshu Wang, Shuai Wang, Shutao Xia, Jianping Wu
A Scalable, High-Performance, and Fault-Tolerant Network Architecture for Distributed Machine Learning. IEEE/ACM Trans. Netw. 28 (4) (2020)
Shuai Wang, Dan Li, Jinkun Geng, Yue Gu, Yang Cheng
Impact of Network Topology on the Performance of DML: Theoretical Analysis and Practical Factors. INFOCOM (2019)
Jinkun Geng, Dan Li, Shuai Wang
Accelerating Distributed Machine Learning by Smart Parameter Server. APNet (2019)
Jinkun Geng, Dan Li, Shuai Wang
ElasticPipe: An Efficient and Dynamic Model-Parallel Solution to DNN Training. ScienceCloud@HPDC (2019)
Jinkun Geng, Dan Li, Shuai Wang
Horizontal or Vertical?: A Hybrid Approach to Large-Scale Distributed Machine Learning. ScienceCloud@HPDC (2019)
Runhua Zhang, Yang Cheng, Jinkun Geng, Shuai Wang, Kaihui Gao, Guowei Shen
HiPower: A High-Performance RDMA Acceleration Solution for Distributed Transaction Processing. NPC (2019)
Jinkun Geng, Dan Li, Shuai Wang
Rima: An RDMA-Accelerated Model-Parallelized Solution to Large-Scale Matrix Factorization. ICDE (2019)
Jinkun Geng, Dan Li, Yang Cheng, Shuai Wang, Junfeng Li
HiPS: Hierarchical Parameter Synchronization in Large-Scale Distributed Machine Learning. NetAI@SIGCOMM (2018)
Songtao Wang, Dan Li, Yang Cheng, Jinkun Geng, Yanshu Wang, Shuai Wang, Shu-Tao Xia, Jianping Wu
BML: A High-performance, Low-cost Gradient Synchronization Algorithm for DML Training. NeurIPS (2018)