Chaoliang Zeng

Orcid: 0000-0002-5151-0997

According to our database1, Chaoliang Zeng authored at least 20 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
LiteFlow: Toward High-Performance Adaptive Neural Networks for Kernel Datapath.
IEEE/ACM Trans. Netw., February, 2024

Towards Fair and Efficient Learning-based Congestion Control.
CoRR, 2024

Accelerating Neural Recommendation Training with Embedding Scheduling.
Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

Cepheus: Accelerating Datacenter Applications with High-Performance RoCE-Capable Multicast.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

Astraea: Towards Fair and Efficient Learning-based Congestion Control.
Proceedings of the Nineteenth European Conference on Computer Systems, 2024

2023
Gleam: An RDMA-accelerated Multicast Protocol for Datacenter Networks.
CoRR, 2023

SRNIC: A Scalable Architecture for RDMA NICs.
Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

Towards Fine-Grained and Practical Flow Control for Datacenter Networks.
Proceedings of the 31st IEEE International Conference on Network Protocols, 2023

Enabling Load Balancing for Lossless Datacenters.
Proceedings of the 31st IEEE International Conference on Network Protocols, 2023

Accurate and Scalable Rate Limiter for RDMA NICs.
Proceedings of the 7th Asia-Pacific Workshop on Networking, 2023

Scaling Switch-driven Flow Control with Aquarius.
Proceedings of the 7th Asia-Pacific Workshop on Networking, 2023

2022
Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud.
Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

LiteFlow: towards high-performance adaptive neural networks for kernel datapath.
Proceedings of the SIGCOMM '22: ACM SIGCOMM 2022 Conference, Amsterdam, The Netherlands, August 22, 2022

FAERY: An FPGA-accelerated Embedding-based Retrieval System.
Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, 2022

Tiara: A Scalable and Efficient Hardware Acceleration Architecture for Stateful Layer-4 Load Balancing.
Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

Spine: an efficient DRL-based congestion control with ultra-low overhead.
Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies, 2022

Herald: An Embedding Scheduler for Distributed Embedding Model Training.
Proceedings of the 6th Asia-Pacific Workshop on Networking, 2022

Load Balancing in PFC-Enabled Datacenter Networks.
Proceedings of the 6th Asia-Pacific Workshop on Networking, 2022

2021
TACC: A Full-stack Cloud Computing Infrastructure for Machine Learning Tasks.
CoRR, 2021

2019
Joint Heterogeneous Server Placement and Application Configuration in Edge Computing.
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019


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