Sen Liu

Orcid: 0000-0003-2230-7671

Affiliations:
  • Fudan University, Shanghai, China
  • Central South University, Changsha, China (former)


According to our database1, Sen Liu authored at least 49 papers between 2019 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
TabSAL: Synthesizing Tabular data with Small agent Assisted Language models.
Knowl. Based Syst., 2024

Rina: Enhancing Ring-AllReduce with In-network Aggregation in Distributed Model Training.
CoRR, 2024

vPIFO: Virtualized Packet Scheduler for Programmable Hierarchical Scheduling in High-Speed Networks.
Proceedings of the ACM SIGCOMM 2024 Conference, 2024

Hierarchical Sketch: An Efficient, Scalable and Latency-aware Content Caching Design for Content Delivery Networks.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

TCAMVisor: High-throughput TCAM Virtualization for Multi-tenant Software Defined Networking.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

R-PFC: Enhancing RDMA Network With Restricted And Fine-grained PFC.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

MUSE: A Runtime Incrementally Reconfigurable Network Adapting to HPC Real-Time Traffic.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Halflife: An Adaptive Flowlet-based Load Balancer with Fading Timeout in Data Center Networks.
Proceedings of the Nineteenth European Conference on Computer Systems, 2024

HF^2T: Host-Based Flowlet Fine-Tuning for RDMA Load Balancing.
Proceedings of the 8th Asia-Pacific Workshop on Networking, 2024

UniFL: Enabling Loss-tolerant Transmission in Federated Learning.
Proceedings of the 8th Asia-Pacific Workshop on Networking, 2024

2023
SpongeTraining: Achieving High Efficiency and Accuracy for Wireless Edge-Assisted Online Distributed Learning.
IEEE Trans. Mob. Comput., August, 2023

An Apprenticeship Learning Approach for Adaptive Video Streaming Based on Chunk Quality and User Preference.
IEEE Trans. Multim., 2023

Achieving Fast Convergence and High Efficiency using Differential Explicit Feedback in Data Center.
IEEE Trans. Cloud Comput., 2023

Congestion-Aware Critical Gradient Scheduling for Distributed Machine Learning in Data Center Networks.
IEEE Trans. Cloud Comput., 2023

RaceCC: A rapidly converging explicit congestion control for datacenter networks.
J. Netw. Comput. Appl., 2023

Federated Deep Reinforcement Learning-Based Intelligent Dynamic Services in UAV-Assisted MEC.
IEEE Internet Things J., 2023

BMW Tree: Large-scale, High-throughput and Modular PIFO Implementation using Balanced Multi-Way Sorting Tree.
Proceedings of the ACM SIGCOMM 2023 Conference, 2023

Rusen: Rule Semantics Enabler toward Fast TCAM Update for Commodity SDN Switches.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

RateSheriff: Multipath Flow-aware and Resource Efficient Rate Limiter Placement for Data Center Networks.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

Boosting Distributed Machine Learning Training Through Loss-tolerant Transmission Protocol.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

S-PFC: Enabling Semi-Lossless RDMA Network with Selective Response to PFC.
Proceedings of the IEEE Symposium on Computers and Communications, 2023

CoLUE: Collaborative TCAM Update in SDN Switches.
Proceedings of the IEEE INFOCOM 2023, 2023

OSP: Boosting Distributed Model Training with 2-stage Synchronization.
Proceedings of the 52nd International Conference on Parallel Processing, 2023

SDT: A Low-cost and Topology-reconfigurable Testbed for Network Research.
Proceedings of the IEEE International Conference on Cluster Computing, 2023

Augmenting Distributed AI Training with Loss-tolerant Transmission.
Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

2022
Maintaining Control Resiliency and Flow Programmability in Software-Defined WANs During Controller Failures.
IEEE/ACM Trans. Netw., 2022

SDNShield: NFV-Based Defense Framework Against DDoS Attacks on SDN Control Plane.
IEEE/ACM Trans. Netw., 2022

Opportunistic Transmission for Video Streaming over Wild Internet.
ACM Trans. Multim. Comput. Commun. Appl., 2022

ECN-based shared bottleneck detection for multi-path TCP.
Comput. Commun., 2022

BubbleTCAM: Bubble Reservation in SDN Switches for Fast TCAM Update.
Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022

ABS: Adaptive Buffer Sizing via Augmented Programmability with Machine Learning.
Proceedings of the IEEE INFOCOM 2022, 2022

ERA: Meeting the Fairness between Sender-driven and Receiver-driven Transmission Protocols in Data Center Networks.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

2021
AggreFlow: Achieving Power Efficiency, Load Balancing, and Quality of Service in Data Center Networks.
IEEE/ACM Trans. Netw., 2021

HybridFlow: Achieving Load Balancing in Software-Defined WANs With Scalable Routing.
IEEE Trans. Commun., 2021

Reducing traffic burstiness for MPTCP in data center networks.
J. Netw. Comput. Appl., 2021

Optimizing Flow Completion Time via Adaptive Buffer Management in Data Center Networks.
Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

Exploring the Impact of Attacks on Ring AllReduce.
Proceedings of the APNet 2021: 5th Asia-Pacific Workshop on Networking, Shenzhen, China, June 24, 2021

2020
Traffic Control for RDMA-Enabled Data Center Networks: A Survey.
IEEE Syst. J., 2020

SmartFCT: Improving power-efficiency for data center networks with deep reinforcement learning.
Comput. Networks, 2020

Poster: Maintaining Training Efficiency and Accuracy for Edge-assisted Online Federated Learning with ABS.
Proceedings of the 28th IEEE International Conference on Network Protocols, 2020

Achieving Fast Convergence and High Efficiency using Differential Explicit Feedback in Data Center.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

QOS-Aware Flow Control for Power-Efficient Data Center Networks with Deep Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

DAVS: Dynamic-Chunk Quality Aware Adaptive Video Streaming using Apprenticeship Learning.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Task-Aware TCP in Data Center Networks.
IEEE/ACM Trans. Netw., 2019

RAPID: Avoiding TCP Incast Throughput Collapse in Public Clouds With Intelligent Packet Discarding.
IEEE J. Sel. Areas Commun., 2019

RetroFlow: maintaining control resiliency and flow programmability for software-defined WANs.
Proceedings of the International Symposium on Quality of Service, 2019

Reducing Flow Completion Time with Replaceable Redundant Packets in Data Center Networks.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

EMPTCP: An ECN Based Approach to Detect Shared Bottleneck in MPTCP.
Proceedings of the 28th International Conference on Computer Communication and Networks, 2019

DDT: Mitigating the Competitiveness Difference of Data Center TCPs.
Proceedings of the 3rd Asia-Pacific Workshop on Networking, 2019


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