World's Best Scientists 2026 revealed!
Yibo Zhu

Yibo Zhu

D-Index & Metrics

Computer Science

D-Index
33
Citations
4869
World Ranking
12652
National Ranking
1550

Overview

Yibo Zhu is affiliated with ByteDance in China and has contributed extensively to the field of computer science, with a particular focus on computer networks and communications, computer vision and pattern recognition, and artificial intelligence. Their work spans related subfields such as electrical and electronic engineering and information systems.

Their research topics include:

  • Advanced Neural Network Applications
  • Cloud Computing and Resource Management
  • Parallel Computing and Optimization Techniques
  • Distributed and Parallel Computing Systems
  • Brain Tumor Detection and Classification
  • Tensor Decomposition and Applications
  • Topic Modeling

Yibo Zhu has published in several venues, predominantly:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Networking
  • Science China Information Sciences
  • Journal of Energy Storage
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Some of the recent papers authored or co-authored by Zhu include:

  • "Congestion Control for Cross-Datacenter Networks", 2022, IEEE/ACM Transactions on Networking
  • "Bolt: Bridging the Gap between Auto-tuners and Hardware-native Performance", 2021, arXiv (Cornell University)
  • "BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing", 2021, arXiv (Cornell University)
  • "DeepCC: Bridging the Gap Between Congestion Control and Applications via Multiobjective Optimization", 2022, IEEE/ACM Transactions on Networking
  • "Serving DNN Models with Multi-Instance GPUs: A Case of the Reconfigurable Machine Scheduling Problem", 2021, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Yibo Zhu has worked frequently with several co-authors, including:

  • Chuanxiong Guo
  • Yanghua Peng
  • Hanpeng Hu
  • Xuanzhe Liu
  • Yinmin Zhong

Their research contributions reflect a multidisciplinary approach combining advanced neural network techniques and optimization methods applied to resource management, parallel computing, and network systems. Zhu's work includes studies on congestion control mechanisms, GPU efficiency for graph neural networks, and scheduling problems in machine learning contexts.

Best Publications

  • Congestion Control for Large-Scale RDMA Deployments

    Yibo Zhu;Haggai Eran;Daniel Firestone;Chuanxiong Guo

  • Mirror mirror on the ceiling: flexible wireless links for data centers

    Xia Zhou;Zengbin Zhang;Yibo Zhu;Yubo Li

  • Packet-Level Telemetry in Large Datacenter Networks

    Yibo Zhu;Nanxi Kang;Jiaxin Cao;Albert Greenberg

  • Congestion Control for Large-Scale RDMA Deployments

    Unknown

  • A generic communication scheduler for distributed DNN training acceleration

    Yanghua Peng;Yibo Zhu;Yangrui Chen;Yixin Bao

  • Serf and turf: crowdturfing for fun and profit

    Gang Wang;Christo Wilson;Xiaohan Zhao;Yibo Zhu

  • Demystifying 60GHz outdoor picocells

    Yibo Zhu;Zengbin Zhang;Zhinus Marzi;Chris Nelson

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

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

  • Reusing 60GHz Radios for Mobile Radar Imaging

    Yanzi Zhu;Yibo Zhu;Ben Y. Zhao;Haitao Zheng

  • Mirror mirror on the ceiling: flexible wireless links for data centers

    Unknown

  • Toward Practical MAC Design for Underwater Acoustic Networks

    Yibo Zhu;Zheng Peng;Jun-Hong Cui;Huifang Chen

  • Real-Time Monitoring of Insulin Using a Graphene Field-Effect Transistor Aptameric Nanosensor

    Zhuang Hao;Zhuang Hao;Yibo Zhu;Xuejun Wang;Pavana G Rotti

  • ECN or Delay: Lessons Learnt from Analysis of DCQCN and TIMELY

    Yibo Zhu;Monia Ghobadi;Vishal Misra;Jitendra Padhye

  • Toward practical MAC design for underwater acoustic networks

    Yibo Zhu;Zaihan Jiang;Zheng Peng;Michael Zuba

  • CrystalNet: Faithfully Emulating Large Production Networks

    Hongqiang Harry Liu;Yibo Zhu;Jitu Padhye;Jiaxin Cao

  • TEA: Enabling State-Intensive Network Functions on Programmable Switches

    Daehyeok Kim;Zaoxing Liu;Yibo Zhu;Changhoon Kim

  • Measurement of cytokine biomarkers using an aptamer-based affinity graphene nanosensor on a flexible substrate toward wearable applications.

    Zhuang Hao;Zhuang Hao;Ziran Wang;Ziran Wang;Yijun Li;Yibo Zhu

  • Hyperloop: group-based NIC-offloading to accelerate replicated transactions in multi-tenant storage systems

    Daehyeok Kim;Amirsaman Memaripour;Anirudh Badam;Yibo Zhu

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

    Yimin Jiang;Yibo Zhu;Chang Lan;Bairen Yi

  • Cutting the cord: a robust wireless facilities network for data centers

    Yibo Zhu;Xia Zhou;Zengbin Zhang;Lin Zhou

  • Fully integrated graphene electronic biosensor for label-free detection of lead (II) ion based on G-quadruplex structure-switching

    Yijun Li;Cheng Wang;Yibo Zhu;Xiaohong Zhou

  • Multi-resource interleaving for deep learning training

    Unknown

  • Energy and Performance of Smartphone Radio Bundling in Outdoor Environments

    Ana Nika;Yibo Zhu;Ning Ding;Abhilash Jindal

  • Packet-Level Telemetry in Large Datacenter Networks

    Unknown

  • Deadlocks in Datacenter Networks: Why Do They Form, and How to Avoid Them

    Shuihai Hu;Yibo Zhu;Peng Cheng;Chuanxiong Guo

  • 007: Democratically Finding the Cause of Packet Drops

    Behnaz Arzani;Selim Ciraci;Luiz Chamon;Yibo Zhu

  • FreeFlow: Software-based Virtual {RDMA} Networking for Containerized Clouds

    Daehyeok Kim;Tianlong Yu;Hongqiang Harry Liu;Yibo Zhu

  • PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications

    Zhihao Bai;Zhen Zhang;Yibo Zhu;Xin Jin

Frequent Co-Authors

Qiao Lin
Qiao Lin Columbia University
James Hone
James Hone Columbia University
Haitao Zheng
Haitao Zheng University of Chicago
Ben Y. Zhao
Ben Y. Zhao University of Chicago
Jitendra Padhye
Jitendra Padhye Microsoft (United States)
Yufeng Hao
Yufeng Hao Nanjing University
Kai Chen
Kai Chen Hong Kong University of Science and Technology
Nanfang Yu
Nanfang Yu Columbia University
Michal Lipson
Michal Lipson Columbia University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

If you're interested in Computer Science but need flexibility, there are several pathways to earn your degree online. Many reputable institutions now offer cheap online college classes, making it easier to manage your finances while studying.

Worried about your academic background? Plenty of online colleges that accept 2.0 gpa can help you begin or continue your Computer Science journey, regardless of your previous GPA. These schools are committed to providing accessible education for diverse learners.

Accelerated programs allow motivated students to earn a 2-year computer science degree online. This option is ideal if you want to graduate quickly and start your career sooner. Computer Science also opens doors to emerging fields like data science and green technology.

If your interests include the intersection of technology and sustainability, consider how an environmental science degree can complement your computing skills. Together, these fields lead to impactful roles in environmental analytics, sustainable systems, and beyond.

Best Scientists Citing Yibo Zhu

Trending Scientists