Shuai Wang
Orcid: 0000-0002-7814-240XAffiliations:
- Zhongguancun Laboratory, Beijing, China
- Tsinghua University, Department of Computer Science and Technology, Beijing, China (former)
According to our database1,
Shuai Wang
authored at least 30 papers
between 2018 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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on github.com
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Bibliography
2025
CoRR, September, 2025
LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs - No Silver Bullet for LC or RAG Routing.
CoRR, February, 2025
Your Shield is My Sword: A Persistent Denial-of-Service Attack via the Reuse of Unvalidated Caches in DNSSEC Validation.
Proceedings of the 34th USENIX Security Symposium, 2025
Discovering Millions of New Nodes and Links in the Internet by Challenging the Uniformity Assumption in Multipath Detection.
Proceedings of the ACM SIGCOMM 2025 Conference, 2025
Proceedings of the IEEE INFOCOM 2025, 2025
2024
Proceedings of the IEEE INFOCOM 2024, 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 IEEE INFOCOM 2023, 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