Sen Liu
Orcid: 0000-0003-2230-7671Affiliations:
- 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:
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Bibliography
2024
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
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
Proceedings of the 8th Asia-Pacific Workshop on Networking, 2024
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
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
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
Proceedings of the IEEE Symposium on Computers and Communications, 2023
Proceedings of the IEEE INFOCOM 2023, 2023
Proceedings of the 52nd International Conference on Parallel Processing, 2023
Proceedings of the IEEE International Conference on Cluster Computing, 2023
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
IEEE/ACM Trans. Netw., 2022
ACM Trans. Multim. Comput. Commun. Appl., 2022
Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022
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
IEEE Trans. Commun., 2021
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
Proceedings of the APNet 2021: 5th Asia-Pacific Workshop on Networking, Shenzhen, China, June 24, 2021
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
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
Proceedings of the 28th International Conference on Computer Communication and Networks, 2019
Proceedings of the 3rd Asia-Pacific Workshop on Networking, 2019