About Me
Dr. Dehui Wei is a Senior Researcher at Microsoft Research Asia. Before joining Microsoft, she was a Postdoctoral Research Fellow at the National University of Singapore (NUS). She received her Ph.D. in Information and Communication Engineering from Beijing University of Posts and Telecommunications (BUPT), advised by Prof. Jiao Zhang.
Dr. Wei has published her research at top networking venues, including USENIX NSDI, IEEE INFOCOM, and IEEE JSAC, covering topics such as large-scale edge CDN infrastructures, multipath scheduling, congestion control, and Internet-scale overlay networks. Her current research focuses on intelligent scheduling and orchestration for AI-agent applications.
Publications
2026
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NSDI 2026
HyperEdge: An Edge CDN Infrastructure for Cost Efficient Video StreamingBest Paper Award
USENIX Symposium on Networked Systems Design and Implementation (NSDI), 2026
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Preprint
RL over Commodity Networks: Overcoming the Bandwidth Barrier with Lossless Sparse Deltas
arXiv preprint, 2026
2025
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JSAC 2025
QoE-Optimized MultiPath Scheduling for Video Services in Large-Scale Peer-to-Peer CDNs
IEEE Journal on Selected Areas in Communications (JSAC), 43(2): 563–576, 2025
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IWQoS 2025
HELDR: Packet Loss Detection and Retransmission for Live Streaming Hyper-Edge Network
IEEE/ACM International Symposium on Quality of Service (IWQoS), 2025
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BIBM 2025
Efficient Partitioning Deep Learning Models for Medical Image Analysis on IoT Devices
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025
2024
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INFOCOM 2024
Pscheduler: QoE-Enhanced MultiPath Scheduler for Video Services in Large-scale Peer-to-Peer CDNs
IEEE International Conference on Computer Communications (INFOCOM), 2508–2517, 2024
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TNSM 2024
Breaking the Inertial Thinking: Non-Blocking Multipath Congestion Control Based on the Single-Subflow Reinforcement Learning Model
IEEE Transactions on Network and Service Management (TNSM), 21(3): 2876–2887, 2024
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IEEE Network
Multipath Smart Preloading Algorithms in Short Video Peer-to-Peer CDN Transmission Architecture
IEEE Network, 38(3): 285–291, 2024
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Preprint
Swarm: Cost-Efficient Video Content Distribution with a Peer-to-Peer System
arXiv preprint, 2024
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IEEE Access
Sparse Variable Selection on High Dimensional Heterogeneous Data With Tree Structured Responses
IEEE Access, 12: 50779–50791, 2024
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BIBM 2024
High Performance Computing Framework for Variable Selection on Genome-wide Association Studies
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 1–6, 2024
2023
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ToN 2023
Fast, Scalable and Robust Centralized Routing for Data Center Networks
IEEE/ACM Transactions on Networking (ToN), 31(6): 2624–2639, 2023
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GLOBECOM 2023
Performance Modeling and Analysis of Distributed Deep Neural Network Training with Parameter Server
IEEE Global Communications Conference (GLOBECOM), 4140–4145, 2023
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ICC 2023
Leopard: A Pragmatic Learning-Based Multipath Congestion Control for Rapid Adaptation to New Network Conditions
IEEE International Conference on Communications (ICC), 1124–1129, 2023
2021
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INFOCOM 2021
Primus: Fast and Robust Centralized Routing for Large-scale Data Center Networks
IEEE International Conference on Computer Communications (INFOCOM), 1–10, 2021
2020
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GLOBECOM 2020
PLB: Adaptive Partial Congestion-aware Load Balancing for Datacenter Networks
IEEE Global Communications Conference (GLOBECOM), 1–6, 2020
Research Interests
- Intelligent scheduling and orchestration for AI-agent applications
- Large-scale edge CDN infrastructures and video streaming
- Multipath scheduling and congestion control
- Internet-scale overlay and peer-to-peer networks