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Felix X. Yu 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 Felix X. Yu 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+

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

Felix X. Yu 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 Felix X. Yu 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+

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

Overview

Felix X. Yu is affiliated with Google in the United States. Their research primarily falls within the field of Computer Science, with a significant focus on Artificial Intelligence. Additional subfields in their work include Signal Processing, Computer Science Applications, Information Systems, and Computational Theory and Mathematics.

The research topics that Felix X. Yu has contributed to cover a range of areas such as Privacy-Preserving Technologies in Data, Text and Document Classification Technologies, Machine Learning and Algorithms, Stochastic Gradient Optimization Techniques, Mobile Crowdsensing and Crowdsourcing, Topic Modeling, and Cryptography and Data Security.

Recent publications by Felix X. Yu or involving their authorship include:

  • A Field Guide to Federated Optimization, 2021, arXiv (Cornell University)
  • Pre-training Tasks for Embedding-based Large-scale Retrieval, 2020, arXiv (Cornell University)
  • Federated Learning with Only Positive Labels, 2020, arXiv (Cornell University)
  • FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients, 2022, arXiv (Cornell University)
  • Doubly-stochastic mining for heterogeneous retrieval, 2020, arXiv (Cornell University)

The main venue for publication has been arXiv (Cornell University), where Felix X. Yu has published at least ten papers.

Frequent co-authors collaborating with Felix X. Yu include:

  • Sashank J. Reddi
  • Ankit Singh Rawat
  • Aditya Krishna Menon
  • Wittawat Jitkrittum
  • Sanjiv Kumar

Best Publications

  • Advances and Open Problems in Federated Learning

    Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

  • Federated Learning: Strategies for Improving Communication Efficiency

    Jakub Konečný;H. Brendan McMahan;Felix X. Yu;Peter Richtarik

  • Advances and open problems in federated learning

    Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

  • An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections

    Yu Cheng;Yu Cheng;Felix X. Yu;Rogerio S. Feris;Sanjiv Kumar

  • cpSGD: communication-efficient and differentially-private distributed SGD

    Naman Agarwal;Ananda Theertha Suresh;Felix Yu;Sanjiv Kumar

  • Designing Category-Level Attributes for Discriminative Visual Recognition

    Felix X. Yu;Liangliang Cao;Rogerio S. Feris;John R. Smith

  • Self-supervised Learning for Large-scale Item Recommendations

    Tiansheng Yao;Xinyang Yi;Derek Zhiyuan Cheng;Felix Yu

  • Distributed mean estimation with limited communication

    Ananda Theertha Suresh;Felix X. Yu;Sanjiv Kumar;H. Brendan McMahan

  • Pre-training Tasks for Embedding-based Large-scale Retrieval

    Wei-Cheng Chang;Felix X. Yu;Yin-Wen Chang;Yiming Yang

  • Orthogonal Random Features

    Felix Xinnan X. Yu;Ananda Theertha Suresh;Krzysztof M. Choromanski;Daniel N. Holtmann-Rice

  • A Field Guide to Federated Optimization

    Jianyu Wang;Zachary Charles;Zheng Xu;Gauri Joshi

  • Circulant Binary Embedding

    Felix Yu;Sanjiv Kumar;Yunchao Gong;Shih-Fu Chang

  • Video Event Detection by Inferring Temporal Instance Labels

    Kuan-Ting Lai;Felix X. Yu;Ming-Syan Chen;Shih-Fu Chang

  • Learning Spread-Out Local Feature Descriptors

    Xu Zhang;Felix X. Yu;Sanjiv Kumar;Shih-Fu Chang

  • Deep Transfer Network: Unsupervised Domain Adaptation

    Xu Zhang;Felix Xinnan Yu;Shih-Fu Chang;Shengjin Wang

  • Object-Based Visual Sentiment Concept Analysis and Application

    Tao Chen;Felix X. Yu;Jiawei Chen;Yin Cui

  • Weak attributes for large-scale image retrieval

    Felix X. Yu;Rongrong Ji;Ming-Hen Tsai;Guangnan Ye

  • Learning Discriminative and Transformation Covariant Local Feature Detectors

    Xu Zhang;Felix X. Yu;Svebor Karaman;Shih-Fu Chang

  • Modifying Memories in Transformer Models

    Chen Zhu;Ankit Singh Rawat;Manzil Zaheer;Srinadh Bhojanapalli

  • Additional Remarks on Designing Category-Level Attributes for Discriminative Visual Recognition

    Felix X Yu;Liangliang Cao;Rogerio S Feris;John R Smith

Frequent Co-Authors

Sanjiv Kumar
Sanjiv Kumar Google (United States)
Shih-Fu Chang
Shih-Fu Chang Columbia University
Aditya Krishna Menon
Aditya Krishna Menon Google (United States)
Sashank J. Reddi
Sashank J. Reddi Google (United States)
H. Brendan McMahan
H. Brendan McMahan Google (United States)
Yu Cheng
Yu Cheng Microsoft (United States)
Rogerio Feris
Rogerio Feris IBM (United States)
Liangliang Cao
Liangliang Cao Google (United States)
John R. Smith
John R. Smith IBM (United States)
Tony Jebara
Tony Jebara Columbia University

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