Chaoliang Zeng 曾朝亮

Logo

BitIntelligence

ccllzeng [at] gmail [dot] com

I am now working on BitIntelligence (比特智路) led by Chuanxiong Guo and Layong Luo. Please feel free to contact us, if you are interested in building scalable and performant transport ASICs and their software stack to support millions of GPUs or AI ASICs interconnect.

As a researcher, my research interests include datacenter networking, hardware acceleration, and machine learning systems. I obtained my Ph.D. degree in 2023 from Hong Kong University of Science and Technology (HKUST), supervised by Prof. Kai Chen. My thesis "Towards High-Performance Datacenter Systems with Application-Oriented Optimizations" is chosen for the Honorable Mention in the HKUST CSE Best PhD Dissertation Award (2022-23).

Before that, I received my B.S. degree with Outstanding Graduate Award in 2018 from University of Science and Technology of China (USTC).

Selected Publications

[Google Scholar] [DBLP]

  1. Astraea: Towards Fair and Efficient Learning-based Congestion Control
    Xudong Liao, Han Tian, Chaoliang Zeng, Xinchen Wan, Kai Chen
    ACM EuroSys 2024 [Paper]

  2. Accelerating Neural Recommendation Training with Embedding Scheduling
    Chaoliang Zeng*, Xudong Liao*, Xiaodian Cheng, Han Tian, Xinchen Wan, Hao Wang, Kai Chen
    (* Co-primary authors)
    USENIX NSDI 2024 [Paper]

  3. Cepheus: Accelerating Datacenter Applications with High-Performance RoCE-Capable Multicast
    Wenxue Li, Junyi Zhang, Yufei Liu, Gaoxiong Zeng, Zilong Wang, Chaoliang Zeng, Pengpeng Zhou, Qiaoling Wang, Kai Chen
    IEEE HPCA 2024 [Paper]

  4. Accelerating Secure Collaborative Machine Learning with Protocol-Aware RDMA
    Zhenghang Ren, Mingxuan Fan, Zilong Wang, Junxue Zhang, Chaoliang Zeng, Zhicong Huang, Cheng Hong, Kai Chen
    USENIX Security 2024 [Paper]

  5. Enabling Load Balancing for Lossless Datacenters
    Jinbin Hu, Chaoliang Zeng, Zilong Wang, Junxue Zhang, Kun Guo, Hong Xu, Jiawei Huang, Kai Chen
    IEEE ICNP 2023 [Paper] (Best Paper Award)

  6. Towards Fine-grained and Practical Flow Control for Datacenter Networks
    Wenxue Li, Chaoliang Zeng, Jinbin Hu, Kai Chen
    IEEE ICNP 2023 [Paper]

  7. SRNIC: A Scalable Architecture for RDMA NICs
    Zilong Wang, Layong Luo, Qingsong Ning, Chaoliang Zeng, Wenxue Li, Xinchen Wan, Peng Xie, Tao Feng, Ke Cheng, Xiongfei Geng, Tianhao Wang, Weicheng Ling, Kejia Huo, Pingbo An, Kui Ji, Shideng Zhang, Bin Xu, Ruiqing Feng, Tao Ding, Kai Chen, Chuanxiong Guo
    USENIX NSDI 2023 [Paper]

  8. Spine: An Efficient DRL-based Congestion Control with Ultra-low Overhead
    Han Tian, Xudong Liao, Chaoliang Zeng, Junxue Zhang, Kai Chen
    ACM CoNEXT 2022 [Paper]

  9. LiteFlow: Towards High-performance Adaptive Neural Networks for Kernel Datapath
    Junxue Zhang, Chaoliang Zeng, Hong Zhang, Shuihai Hu, Kai Chen
    ACM SIGCOMM 2022 [Paper]

  10. FAERY: An FPGA-accelerated Embedding-based Retrieval System
    Chaoliang Zeng, Layong Luo, Qingsong Ning, Yaodong Han, Yuhang Jiang, Ding Tang, Zilong Wang, Kai Chen, Chuanxiong Guo
    USENIX OSDI 2022 [Paper]

  11. Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud
    Han Tian, Chaoliang Zeng, Zhenghang Ren, Di Chai, Junxue Zhang, Kai Chen, Qiang Yang
    IEEE S&P 2022 [Paper]

  12. Tiara: A Scalable and Efficient Hardware Acceleration Architecture for Stateful Layer-4 Load Balancing
    Chaoliang Zeng, Layong Luo, Teng Zhang, Zilong Wang, Luyang Li, Wenchen Han, Nan Chen, Lebing Wan, Lichao Liu, Zhipeng Ding, Xiongfei Geng, Tao Feng, Feng Ning, Kai Chen, Chuanxiong Guo
    USENIX NSDI 2022 [paper]

Experiences

  1. Research Intern at ByteDance, Hardware Acceleration Team (Jun 2020 - Dec 2021)

Services

  1. IEEE/ACM Transactions on Networking (ToN), Reviewer, 2022