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Chuanxiong Guo

Chuanxiong Guo

D-Index & Metrics

Computer Science

D-Index
47
Citations
13554
World Ranking
6340
National Ranking
843

Overview

Chuanxiong Guo is affiliated with ByteDance in China and specializes in computer science, with a focus on distributed and parallel computing systems. Their research spans multiple subfields, including computer networks and communications, artificial intelligence, computer vision and pattern recognition, information systems, and industrial and manufacturing engineering.

The scientist has contributed to several research topics, particularly in distributed and parallel computing systems, cloud computing and resource management, and IoT and edge/fog computing. Other notable areas of focus include advanced neural network applications, brain tumor detection and classification, advanced graph neural networks, and graph theory and algorithms.

Guo has published papers primarily in the venue arXiv (Cornell University), with additional work appearing in the Leibniz-Zentrum für Informatik (Schloss Dagstuhl). The document identifies seven publications at arXiv and one at Leibniz-Zentrum für Informatik (Schloss Dagstuhl).

  • BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing (2021), arXiv (Cornell University)
  • Serving DNN Models with Multi-Instance GPUs: A Case of the Reconfigurable Machine Scheduling Problem (2021), Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Collie: Finding Performance Anomalies in RDMA Subsystems (2023), arXiv (Cornell University)
  • Aryl: An Elastic Cluster Scheduler for Deep Learning (2022), arXiv (Cornell University)
  • AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly (2021), arXiv (Cornell University)

Their frequent co-authors include Yibo Zhu with six joint publications, Zherui Liu with three, Chuan Wu and Yanghua Peng with two each, and Jiamin Li with one collaboration.

  • Yibo Zhu
  • Zherui Liu
  • Chuan Wu
  • Yanghua Peng
  • Jiamin Li

Guo's research emphasis on optimizing computational resources and scheduling for machine learning models intersects with topics such as GPU-efficient graph neural network training, reconfigurable machine scheduling, and the detection of performance anomalies in RDMA subsystems. Research on elastic cluster schedulers and automatic learning-rate scheduling techniques further illustrates their involvement in advancing resource management in high-performance computing environments.

Best Publications

  • BCube: a high performance, server-centric network architecture for modular data centers

    Chuanxiong Guo;Guohan Lu;Dan Li;Haitao Wu

  • Dcell: a scalable and fault-tolerant network structure for data centers

    Chuanxiong Guo;Haitao Wu;Kun Tan;Lei Shi

  • SecondNet: a data center network virtualization architecture with bandwidth guarantees

    Chuanxiong Guo;Guohan Lu;Helen J. Wang;Shuang Yang

  • Congestion Control for Large-Scale RDMA Deployments

    Yibo Zhu;Haggai Eran;Daniel Firestone;Chuanxiong Guo

  • RDMA over Commodity Ethernet at Scale

    Chuanxiong Guo;Haitao Wu;Zhong Deng;Gaurav Soni

  • ICTCP: incast congestion control for TCP in data-center networks

    Haitao Wu;Zhenqian Feng;Chuanxiong Guo;Yongguang Zhang

  • Pingmesh: A Large-Scale System for Data Center Network Latency Measurement and Analysis

    Chuanxiong Guo;Lihua Yuan;Dong Xiang;Yingnong Dang

  • Efficient mobility management for vertical handoff between WWAN and WLAN

    Qian Zhang;Chuanxiong Guo;Zihua Guo;Wenwu Zhu

  • Shield: vulnerability-driven network filters for preventing known vulnerability exploits

    Helen J. Wang;Chuanxiong Guo;Daniel R. Simon;Alf Zugenmaier

  • Optimus: an efficient dynamic resource scheduler for deep learning clusters

    Yanghua Peng;Yixin Bao;Yangrui Chen;Chuan Wu

  • A generic communication scheduler for distributed DNN training acceleration

    Yanghua Peng;Yibo Zhu;Yangrui Chen;Yixin Bao

  • A seamless and proactive end-to-end mobility solution for roaming across heterogeneous wireless networks

    Chuanxiong Guo;Zihua Guo;Qian Zhang;Wenwu Zhu

  • FiConn: Using Backup Port for Server Interconnection in Data Centers

    D. Li;C. Guo;H. Wu;K. Tan

  • ICTCP: Incast Congestion Control for TCP in data center networks

    Haitao Wu;Zhenqian Feng;Chuanxiong Guo;Yongguang Zhang

  • Virtual Data Center Allocation with Bandwidth Guarantees

    Chuanxiong Guo;Guohan Lv;Shuang Yang;Jiahe Helen Wang

  • A scalable micro wireless interconnect structure for CMPs

    Suk-Bok Lee;Sai-Wang Tam;Ioannis Pefkianakis;Songwu Lu

  • MDCube: a high performance network structure for modular data center interconnection

    Haitao Wu;Guohan Lu;Dan Li;Chuanxiong Guo

  • ServerSwitch: a programmable and high performance platform for data center networks

    Guohan Lu;Chuanxiong Guo;Yulong Li;Zhiqiang Zhou

  • Per-packet load-balanced, low-latency routing for clos-based data center networks

    Jiaxin Cao;Rui Xia;Pengkun Yang;Chuanxiong Guo

  • Tiresias: A {GPU} Cluster Manager for Distributed Deep Learning

    Juncheng Gu;Mosharaf Chowdhury;Kang G. Shin;Yibo Zhu

  • A Unified Architecture for Accelerating Distributed {DNN} Training in Heterogeneous GPU/CPU Clusters

    Yimin Jiang;Yibo Zhu;Chang Lan;Bairen Yi

  • Seamless and Proactive End-to-End Mobility Solution for Roaming across Heterogeneous Wireless Networks

    Chuanxiong Guo;Zihua Guo;Qian Zhang;Wenwu Zhu

Frequent Co-Authors

Haitao Wu
Haitao Wu Google (United States)
Yongguang Zhang
Yongguang Zhang Microsoft Research Asia (China)
Wenwu Zhu
Wenwu Zhu Tsinghua University
Kun Tan
Kun Tan Huawei Technologies (China)
Yibo Zhu
Yibo Zhu ByteDance
David A. Maltz
David A. Maltz Microsoft (United States)
Songwu Lu
Songwu Lu University of California, Los Angeles
Kai Chen
Kai Chen Hong Kong University of Science and Technology
Chuan Wu
Chuan Wu University of Hong Kong
Helen J. Wang
Helen J. Wang Microsoft (United States)

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