Publications

Publications by categories in reversed chronological order.

2024

2024

  1. __NSDI__
    Towards Domain-Specific Network Transport for Distributed DNN Training
    Hao Wang, Han Tian, Jingrong Chen, Xinchen Wan, Jiacheng Xia, Gaoxiong Zeng, Wei Bai, Junchen Jiang, Yong Wang, and Kai Chen
    In 21th USENIX Symposium on Networked Systems Design and Implementation, 2024
    PDF
  2. __NSDI__
    Accelerating Neural Recommendation Training with Embedding Scheduling
    Chaoliang Zeng*, Xudong Liao*, Xiaodian Cheng, Han Tian, Xinchen Wan, Hao Wang, and Kai Chen
    In 21th USENIX Symposium on Networked Systems Design and Implementation, 2024
    PDF

2023

2023

  1. __ICNP__
    Preemptive Switch Memory Usage to Accelerate Training Jobs with Shared In-Network Aggregation
    Hao Wang, Yuxuan Qin, ChonLam Lao, Yanfang Le, Wenfei Wu, and Kai Chen
    IEEE 31th International Conference on Network Protocols, 2023
    PDF

2022

2022

  1. __INFOCOM__
    Autobyte: Automatic Configuration for Optimal Communication Scheduling in DNN Training
    Yiqing Ma, Hao Wang, Yiming Zhang, and Kai Chen
    In IEEE International Conference on Computer Communications, 2022
    PDF
  2. __ArXiv__
    Efficient Data-plane Memory Scheduling for In-Network Aggregation
    Hao Wang, Yuxuan Qin, ChonLam Lao, Yanfang Le, Wenfei Wu, and Kai Chen
    arXiv preprint arXiv:2201.06398, 2022
    PDF
  3. __WWW__
    QCluster: Clustering Packets for Flow Scheduling
    Tong Yang, Jizhou Li, Yikai Zhao, Kaicheng Yang, Hao Wang, Jie Jiang, Yinda Zhang, and Nicholas Zhang
    In Proceedings of the ACM Web Conference, 2022
    PDF
  4. __APNet__
    Herald: An Embedding Scheduler for Distributed Embedding Model Training
    Chaoliang Zeng, Xiaodian Cheng, Han Tian, Hao Wang, and Kai Chen
    In 6th Asia-Pacific Workshop on Networking, 2022
    PDF

2021

2021

  1. __ArXiv__
    Automatic Configuration for Optimal Communication Scheduling in DNN Training
    Yiqing Ma, Hao Wang, Yiming Zhang, and Kai Chen
    arXiv preprint arXiv:2112.13509, 2021
    PDF
  2. ___ArXiv___
    Tacc: A Full-stack Cloud Computing Infrastructure for Machine Learning Tasks
    Kaiqiang Xu, Xinchen Wan, Hao Wang, Zhenghang Ren, Xudong Liao, Decang Sun, Chaoliang Zeng, and Kai Chen
    arXiv preprint arXiv:2110.01556, 2021
    PDF

2020

2020

  1. __APNET__
    Rat-resilient Allreduce Tree for Distributed Machine Learning
    Xinchen Wan, Hong Zhang, Hao Wang, Shuihai Hu, Junxue Zhang, and Kai Chen
    In 4th Asia-Pacific Workshop on Networking, 2020
    PDF
  2. ___ArXiv___
    Domain-specific Communication Optimization for Distributed DNN Training
    Hao Wang, Jingrong Chen, Xinchen Wan, Han Tian, Jiacheng Xia, Gaoxiong Zeng, Weiyan Wang, Kai Chen, Wei Bai, and Junchen Jiang
    arXiv preprint arXiv:2008.08445, 2020
    PDF

2019

2019

  1. __WWW__
    Fine-grained Probability Counting for Cardinality Estimation of Data Streams
    Lun Wang, Tong Yang, Hao Wang, Jie Jiang, Zekun Cai, Bin Cui, and Xiaoming Li
    World Wide Web, 2019
    PDF
  2. __WWW__
    FID-sketch: an Accurate Sketch to Store Frequencies in Data Streams
    Tong Yang, Haowei Zhang, Hao Wang, Muhammad Shahzad, Xue Liu, Qin Xin, and Xiaoming Li
    World Wide Web, 2019
    PDF

2018

2018

  1. __ICC__
    ID Bloom Filter: Achieving Faster Multi-set Membership Query in Network Applications
    Peng Liu*, Hao Wang*, Siang Gao, Tong Yang, Lei Zou, Lorna Uden, and Xiaoming Li
    In IEEE International Conference on Communications, 2018
    PDF
  2. __BigComp__
    Fine-grained Probability Counting: Refined Loglog Algorithm
    Lun Wang, Zekun Cai, Hao Wang, Jie Jiang, Tong Yang, Bin Cui, and Xiaoming Li
    In IEEE International Conference on Big Data and Smart Computing, 2018
    PDF