World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
74
Citations
19721
World Ranking
1511
National Ranking
209

Yu-Wing Tai 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 Yu-Wing Tai 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: 213 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Yu-Wing Tai 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 Yu-Wing Tai 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: 74 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Overview

Yu-Wing Tai is affiliated with the Hong Kong University of Science and Technology in China and has a research focus within the field of Computer Science. Their work mainly concentrates on several subfields, including Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Computer Graphics and Computer-Aided Design, and Aerospace Engineering.

Their recent scholarly contributions feature a range of topics and venues. Notable papers include:

  • Physics-Based Generative Adversarial Models for Image Restoration and Beyond, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation, 2021, arXiv (Cornell University)
  • Segment Anything in High Quality, 2023, arXiv (Cornell University)
  • NeRF-SR: High Quality Neural Radiance Fields using Supersampling, 2022, Proceedings of the 30th ACM International Conference on Multimedia
  • Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution, 2020, Proceedings of the AAAI Conference on Artificial Intelligence

They have collaborated frequently with several coauthors, most notably Chi-Keung Tang, Lei Ke, Fisher Yu, Qi Fan, and Martin Danelljan.

Yu-Wing Tai has published extensively in a variety of research venues. The frequent venues for their work include:

  • arXiv (Cornell University)
  • International Journal of Computer Vision
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings of the 30th ACM International Conference on Multimedia

Their research covers core topics such as:

  • Advanced Neural Network Applications
  • Advanced Vision and Imaging
  • Advanced Image and Video Retrieval Techniques
  • Visual Attention and Saliency Detection
  • Advanced Image Processing Techniques
  • Domain Adaptation and Few-Shot Learning
  • 3D Shape Modeling and Analysis

This profile highlights a strong focus on computer vision technologies and neural network applications. Their publication record shows engagement with both foundational and emerging areas of research within these domains.

Best Publications

  • RMPE: Regional Multi-person Pose Estimation

    Hao-Shu Fang;Shuqin Xie;Yu-Wing Tai;Cewu Lu

  • Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

    Hengyuan Hu;Rui Peng;Yu-Wing Tai;Chi-Keung Tang

  • Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector

    Qi Fan;Wei Zhuo;Chi-Keung Tang;Yu-Wing Tai

  • High quality depth map upsampling for 3D-TOF cameras

    Jaesik Park;Hyeongwoo Kim;Yu-Wing Tai;Michael S. Brown

  • Accurate depth map estimation from a lenslet light field camera

    Hae-Gon Jeon;Jaesik Park;Gyeongmin Choe;Jinsun Park

  • Deep Saliency with Encoded Low Level Distance Map and High Level Features

    Gayoung Lee;Yu-Wing Tai;Junmo Kim

  • Local color transfer via probabilistic segmentation by expectation-maximization

    Yu-Wing Tai;Jiaya Jia;Chi-Keung Tang

  • Super resolution using edge prior and single image detail synthesis

    Yu-Wing Tai;Shuaicheng Liu;Michael S. Brown;Stephen Lin

  • Richardson-Lucy Deblurring for Scenes under a Projective Motion Path

    Yu-Wing Tai;Ping Tan;M. S. Brown

  • High-resolution hyperspectral imaging via matrix factorization

    Rei Kawakami;Yasuyuki Matsushita;John Wright;Moshe Ben-Ezra

  • Salient Region Detection via High-Dimensional Color Transform

    Jiwhan Kim;Dongyoon Han;Yu-Wing Tai;Junmo Kim

  • Accurate Single Stage Detector Using Recurrent Rolling Convolution

    Jimmy Ren;Xiaohao Chen;Jianbo Liu;Wenxiu Sun

  • Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data

    Shichao Li;Lei Ke;Kevin Pratama;Yu-Wing Tai

  • Deep High Dynamic Range Imaging with Large Foreground Motions

    Shangzhe Wu;Jiarui Xu;Yu-Wing Tai;Chi-Keung Tang

  • Partial Sum Minimization of Singular Values in Robust PCA: Algorithm and Applications

    Tae-Hyun Oh;Yu-Wing Tai;Jean-Charles Bazin;Hyeongwoo Kim

  • Fully Convolutional Networks for Continuous Sign Language Recognition

    Ka Leong Cheng;Zhaoyang Yang;Qifeng Chen;Yu-Wing Tai

  • Memory-Attended Recurrent Network for Video Captioning

    Wenjie Pei;Jiyuan Zhang;Xiangrong Wang;Lei Ke

  • Semantic colorization with internet images

    Alex Yong-Sang Chia;Shaojie Zhuo;Raj Kumar Gupta;Yu-Wing Tai

  • CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement

    Ho Kei Cheng;Jihoon Chung;Yu-Wing Tai;Chi-Keung Tang

  • Robust High Dynamic Range Imaging by Rank Minimization

    Tae-Hyun Oh;Joon-Young Lee;Yu-Wing Tai;In So Kweon

  • Attribute-Guided Face Generation Using Conditional CycleGAN

    Yongyi Lu;Yu-Wing Tai;Chi-Keung Tang

  • Exploring Heterogeneous Algorithms for Accelerating Deep Convolutional Neural Networks on FPGAs

    Qingcheng Xiao;Yun Liang;Liqiang Lu;Shengen Yan

  • Image/video deblurring using a hybrid camera

    Yu-Wing Tai;Hao Du;M.S. Brown;S. Lin

Frequent Co-Authors

Chi-Keung Tang
Chi-Keung Tang Hong Kong University of Science and Technology
In So Kweon
In So Kweon Korea Advanced Institute of Science and Technology
Michael S. Brown
Michael S. Brown York University
Xiaoyong Shen
Xiaoyong Shen SmartMore Corporation
Cewu Lu
Cewu Lu Shanghai Jiao Tong University
Yasuyuki Matsushita
Yasuyuki Matsushita Microsoft Research Asia Tokyo
Jiaya Jia
Jiaya Jia Hong Kong University of Science and Technology
Jimmy Ren
Jimmy Ren Hong Kong Metropolitan University
Stephen Lin
Stephen Lin Microsoft Research Asia (China)
Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced

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

Exploring further studies after an undergraduate degree in Computer Science opens up many opportunities. With technology transforming industries, specialists are in high demand. Many are now choosing programs that align with the top degrees in demand for the future to secure robust career prospects.

For those seeking postgraduate education with greater flexibility, there are easiest masters programs to get into that cater to busy professionals or those looking for a career change. These programs often offer streamlined admissions and practical curriculums, helping students transition smoothly into advanced roles.

Ambitious learners can also pursue doctoral-level credentials without the high costs, thanks to the rise of affordable phd programs online. Distance learning enables students to balance research, work, and personal commitments.

For those interested in education and leadership, edd online programs offer fast-track options to gain advanced expertise and qualify for senior roles in academia or administration.

Best Scientists Citing Yu-Wing Tai

Trending Scientists

Recently Published Articles