World's Best Scientists 2026 revealed!
Yibo Zhu

Yibo Zhu

D-Index & Metrics

Computer Science

D-Index
33
Citations
4869
World Ranking
12650
National Ranking
1550

Yibo Zhu publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Yibo Zhu sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 97 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Yibo Zhu D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Yibo Zhu sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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

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