World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
6066
World Ranking
8928
National Ranking
3800

Yuxiong He 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 Yuxiong He 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: 150 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Yuxiong He 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 Yuxiong He 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Yuxiong He is a researcher affiliated with Microsoft in the United States, specializing in the field of Computer Science with a focus on Artificial Intelligence. Their scholarly contribution includes over 120 publications, predominantly in areas related to advanced neural network applications and natural language processing techniques.

The primary research subfields covered by Yuxiong He include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Molecular Biology
  • Hardware and Architecture

The main topics addressed in their work span:

  • Topic Modeling
  • Advanced Neural Network Applications
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Stochastic Gradient Optimization Techniques
  • Domain Adaptation and Few-Shot Learning
  • Ferroelectric and Negative Capacitance Devices

Yuxiong He has published extensively in several venues, with the highest number of publications appearing in arXiv (Cornell University). Other notable publication venues include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Nature Methods
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining

Representative recent papers authored by Yuxiong He include:

  • Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model (2022, arXiv)
  • OpenFold: retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization (2024, Nature Methods)
  • ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers (2022, arXiv)
  • ZeRO-Offload: Democratizing Billion-Scale Model Training (2021, arXiv)
  • ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning (2021, arXiv)

Frequent collaborators who have coauthored multiple works with Yuxiong He include:

  • Minjia Zhang
  • Zhewei Yao
  • Samyam Rajbhandari
  • Xiaoxia Wu
  • Ammar Ahmad Awan

Best Publications

  • ZeRO: Memory optimizations Toward Training Trillion Parameter Models

    Samyam Rajbhandari;Jeff Rasley;Olatunji Ruwase;Yuxiong He

  • DeepSpeed: System Optimizations Enable Training Deep Learning Models with Over 100 Billion Parameters

    Jeff Rasley;Samyam Rajbhandari;Olatunji Ruwase;Yuxiong He

  • DeepSpeed- Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale

    Unknown

  • ZeRO-infinity: breaking the GPU memory wall for extreme scale deep learning

    Samyam Rajbhandari;Olatunji Ruwase;Jeff Rasley;Shaden Smith

  • Graph query processing using plurality of engines

    Sameh Elnikety;Yuxiong He;Sherif Sakr

  • ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers

    Unknown

  • Adaptive work-stealing with parallelism feedback

    Kunal Agrawal;Charles E. Leiserson;Yuxiong He;Wen Jing Hsu

  • Provably-Efficient Job Scheduling for Energy and Fairness in Geographically Distributed Data Centers

    Shaolei Ren;Yuxiong He;Fei Xu

  • The Cilkview scalability analyzer

    Yuxiong He;Charles E. Leiserson;William M. Leiserson

  • Learning Intrinsic Sparse Structures within Long Short-Term Memory

    Wei Wen;Yuxiong He;Samyam Rajbhandari;Minjia Zhang

  • Few-to-Many: Incremental Parallelism for Reducing Tail Latency in Interactive Services

    E. Haque;Yong hun Eom;Yuxiong He;Sameh Elnikety

  • Predictive parallelization: taming tail latencies in web search

    Myeongjae Jeon;Saehoon Kim;Seung-won Hwang;Yuxiong He

  • Swayam: distributed autoscaling to meet SLAs of machine learning inference services with resource efficiency

    Arpan Gujarati;Sameh Elnikety;Yuxiong He;Kathryn S. McKinley

  • Performance Modeling and Scalability Optimization of Distributed Deep Learning Systems

    Feng Yan;Olatunji Ruwase;Yuxiong He;Trishul Chilimbi

  • ZeRO-Offload: Democratizing Billion-Scale Model Training

    Jie Ren;Samyam Rajbhandari;Reza Yazdani Aminabadi;Olatunji Ruwase

  • Adaptive Scheduling with Parallelism Feedback

    Kunal Agrawal;Y. He;W.-J. Hsu;C.E. Leiserson

  • Zeta: scheduling interactive services with partial execution

    Yuxiong He;Sameh Elnikety;James Larus;Chenyu Yan

  • DeepCPU: serving RNN-based deep learning models 10x faster

    Minjia Zhang;Samyam Rajbhandari;Wenhan Wang;Yuxiong He

  • Mercury: A memory-constrained spatio-temporal real-time search on microblogs

    Amr Magdy;Mohamed F. Mokbel;Sameh Elnikety;Suman Nath

  • G-SPARQL: a hybrid engine for querying large attributed graphs

    Sherif Sakr;Sameh Elnikety;Yuxiong He

  • ZeRO: Memory Optimization Towards Training A Trillion Parameter Models.

    Samyam Rajbhandari;Jeff Rasley;Olatunji Ruwase;Yuxiong He

  • Adaptive work stealing with parallelism feedback

    Kunal Agrawal;Yuxiong He;Charles E. Leiserson

Frequent Co-Authors

Sameh Elnikety
Sameh Elnikety Microsoft (United States)
Shaolei Ren
Shaolei Ren University of California, Riverside
Kathryn S. McKinley
Kathryn S. McKinley Google (United States)
Mohamed F. Mokbel
Mohamed F. Mokbel University of Minnesota
Suman Nath
Suman Nath Microsoft (United States)
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Scott Rixner
Scott Rixner Rice University
Alan L. Cox
Alan L. Cox Rice University
David G. Andersen
David G. Andersen Carnegie Mellon University

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