Mowei Wang

Orcid: 0000-0001-9085-2247

According to our database1, Mowei Wang authored at least 29 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
NegotiaToR: Toward a Simple Yet Effective On-Demand Reconfigurable Datacenter Network.
IEEE Trans. Netw., 2026

2025
Revisiting Random Early Detection Tuning for High-Performance Datacenter Networks.
IEEE Trans. Netw., October, 2025

PRED: Performance-oriented Random Early Detection for Consistently Stable Performance in Datacenters.
Proceedings of the 22nd USENIX Symposium on Networked Systems Design and Implementation, 2025

Traffic Analysis and Recognition in Data Insufficient Scenarios.
NGNO@MM, 2025

RTT- or Bandwidth-Bound? Demystifying the KV Cache Transfer in Large Language Model Serving.
Proceedings of the 2nd Workshop on Networks for AI Computing, 2025

xWitch: Towards Fast and Accurate Performance Evaluation for Hierarchical QoS.
Proceedings of the 33rd IEEE/ACM International Symposium on Quality of Service, 2025

Modeling Flow-level Traffic Demand for Network Performance Evaluation and Optimization.
Proceedings of the 33rd IEEE International Conference on Network Protocols, 2025

2024
Re-Architecting Buffer Management in Lossless Ethernet.
IEEE/ACM Trans. Netw., December, 2024

xNet: Modeling Network Performance With Graph Neural Networks.
IEEE/ACM Trans. Netw., April, 2024

NegotiaToR: Towards A Simple Yet Effective On-demand Reconfigurable Datacenter Network.
Proceedings of the ACM SIGCOMM 2024 Conference, 2024

Iphicles: Tuning Parameters of Data Center Networks with Differentiable Performance Model.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

2023
Digital Twin for Networking: A Data-Driven Performance Modeling Perspective.
IEEE Netw., 2023

Poster: NegotiaToR: A Simple On-Demand Reconfigurable Data Center Network.
Proceedings of the 31st IEEE International Conference on Network Protocols, 2023

Datacenter Network Deserves Better Traffic Models.
Proceedings of the 22nd ACM Workshop on Hot Topics in Networks, 2023

2022
DeepCC: Bridging the Gap Between Congestion Control and Applications via Multiobjective Optimization.
IEEE/ACM Trans. Netw., 2022

Future Data Center Networking: From Low Latency to Deterministic Latency.
IEEE Netw., 2022

Adaptive Bitrate with User-level QoE Preference for Video Streaming.
Proceedings of the IEEE INFOCOM 2022, 2022

Learning Buffer Management Policies for Shared Memory Switches.
Proceedings of the IEEE INFOCOM 2022, 2022

xNet: Improving Expressiveness and Granularity for Network Modeling with Graph Neural Networks.
Proceedings of the IEEE INFOCOM 2022, 2022

Locality Matters! Traffic Demand Modeling in Datacenter Networks.
Proceedings of the 6th Asia-Pacific Workshop on Networking, 2022

2021
Towards "Zero-buffer" Datacenter Networks.
CoRR, 2021

DeepCC: Bridging the Gap Between Congestion Control and Applications via Multi-Objective Optimization.
CoRR, 2021

The ACM Multimedia 2021 Meet Deadline Requirements Grand Challenge.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Traffic-aware Buffer Management in Shared Memory Switches.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2019
Machine Learning for Internet Congestion Control: Techniques and Challenges.
IEEE Internet Comput., 2019

L3VTP: A Low-Latency Live Video Transmission Platform.
Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos, 2019

2018
Machine Learning for Networking: Workflow, Advances and Opportunities.
IEEE Netw., 2018

Low-Latency Networking: Architecture, Techniques, and Opportunities.
IEEE Internet Comput., 2018

Neural Network Meets DCN: Traffic-driven Topology Adaptation with Deep Learning.
Proceedings of the Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems, 2018


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