Shuai Wang
Orcid: 0000-0002-7814-240XAffiliations:
- Tsinghua University, Department of Computer Science and Technology, Beijing, China
According to our database1,
Shuai Wang
authored at least 22 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
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on github.com
On csauthors.net:
Bibliography
2024
2023
IEEE/ACM Trans. Netw., August, 2023
IEEE/ACM Trans. Netw., August, 2023
Poster: Q-Scanner: A Fast Scanning Tool for Large-Scale SSL/TLS Configurations Measurement.
Proceedings of the ACM SIGCOMM 2023 Conference, 2023
Proceedings of the 7th Asia-Pacific Workshop on Networking, 2023
2022
Impact of Synchronization Topology on DML Performance: Both Logical Topology and Physical Topology.
IEEE/ACM Trans. Netw., 2022
Proceedings of the SIGCOMM '22: ACM SIGCOMM 2022 Conference, Amsterdam, The Netherlands, August 22, 2022
Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022
Proceedings of the 6th Asia-Pacific Workshop on Networking, 2022
2020
A Scalable, High-Performance, and Fault-Tolerant Network Architecture for Distributed Machine Learning.
IEEE/ACM Trans. Netw., 2020
Improving Positive Unlabeled Learning: Practical AUL Estimation and New Training Method for Extremely Imbalanced Data Sets.
CoRR, 2020
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
Fela: Incorporating Flexible Parallelism and Elastic Tuning to Accelerate Large-Scale DML.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
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.
Proceedings of the Network and Parallel Computing, 2019
Impact of Network Topology on the Performance of DML: Theoretical Analysis and Practical Factors.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019
Rima: An RDMA-Accelerated Model-Parallelized Solution to Large-Scale Matrix Factorization.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
Proceedings of the 10th Workshop on Scientific Cloud Computing, 2019
Horizontal or Vertical?: A Hybrid Approach to Large-Scale Distributed Machine Learning.
Proceedings of the 10th Workshop on Scientific Cloud Computing, 2019
Proceedings of the 3rd Asia-Pacific Workshop on Networking, 2019
2018
HiPS: Hierarchical Parameter Synchronization in Large-Scale Distributed Machine Learning.
Proceedings of the 2018 Workshop on Network Meets AI & ML, 2018
BML: A High-performance, Low-cost Gradient Synchronization Algorithm for DML Training.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018