World's Best Scientists 2026 revealed!
Steven C. H. Hoi

Steven C. H. Hoi

Award Badge
Computer Science
China
2026
Award Badge
Computer Science
Singapore
2025

D-Index & Metrics

Computer Science

D-Index
91
Citations
34508
World Ranking
580
National Ranking
81

Steven C. H. Hoi 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 Steven C. H. Hoi 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: 384 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Steven C. H. Hoi 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 Steven C. H. Hoi 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: 91 D-Index — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in Singapore Leader Award
  • 2022 - Research.com Computer Science in Singapore Leader Award
  • 2019 - ACM Distinguished Member
  • 2019 - IEEE Fellow For contributions to machine learning for multimedia information retrieval and scalable data analytics

Overview

Steven C. H. Hoi is affiliated with Singapore Management University in Singapore. Their research focuses primarily on the field of computer science, with significant contributions across related subfields including artificial intelligence, computer vision and pattern recognition, information systems, signal processing, and management science and operations research.

The scientist's research topics cover a variety of areas in machine learning and multimedia, with notable emphasis on multimodal machine learning applications, domain adaptation and few-shot learning, and topic modeling. Additional key research themes include advanced image and video retrieval techniques, natural language processing techniques, human pose and action recognition, and advanced neural network applications.

Recent papers authored or co-authored by Steven C. H. Hoi include:

  • Deep Learning for Person Re-Identification: A Survey and Outlook, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Deep Learning for Image Super-Resolution: A Survey, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Recent advances in deep learning for object detection, 2020, Neurocomputing
  • BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models, 2023, arXiv (Cornell University)

The scientist frequently collaborates with several scholars, including Caiming Xiong, Doyen Sahoo, Shafiq Joty, Chenghao Liu, and Guosheng Lin.

Publication venues where Steven C. H. Hoi has a substantial presence include:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Multimedia
  • Neurocomputing
  • Proceedings of the AAAI Conference on Artificial Intelligence

Among professional recognitions, Steven C. H. Hoi has been named an ACM Distinguished Member and an IEEE Fellow for contributions to machine learning for multimedia information retrieval and scalable data analytics, both awarded in 2019.

Best Publications

  • Deep Learning for Person Re-identification: A Survey and Outlook.

    Mang Ye;Jianbing Shen;Gaojie Lin;Tao Xiang

  • Deep Learning for Image Super-Resolution: A Survey

    Zhihao Wang;Jian Chen;Steven C. H. Hoi

  • CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

    Yue Wang;Weishi Wang;Shafiq R. Joty;Steven C. H. Hoi

  • Deep Learning for Content-Based Image Retrieval: A Comprehensive Study

    Ji Wan;Dayong Wang;Steven Chu Hong Hoi;Pengcheng Wu

  • Recent Advances in Deep Learning for Object Detection

    Xiongwei Wu;Doyen Sahoo;Steven C. H. Hoi;Steven C. H. Hoi

  • Align before Fuse: Vision and Language Representation Learning with Momentum Distillation

    Junnan Li;Ramprasaath R. Selvaraju;Akhilesh Deepak Gotmare;Shafiq R. Joty

  • Face detection using deep learning: An improved faster RCNN approach

    Xudong Sun;Pengcheng Wu;Steven C.H. Hoi

  • Online learning: A comprehensive survey

    Steven C.H. Hoi;Steven C.H. Hoi;Doyen Sahoo;Jing Lu;Peilin Zhao

  • AR-miner: mining informative reviews for developers from mobile app marketplace

    Ning Chen;Jialiu Lin;Steven C. H. Hoi;Xiaokui Xiao

  • Batch mode active learning and its application to medical image classification

    Steven C. H. Hoi;Rong Jin;Jianke Zhu;Michael R. Lyu

  • DivideMix: Learning with Noisy Labels as Semi-supervised Learning

    Junnan Li;Steven C.H. Hoi;Richard Socher

  • Prototypical Contrastive Learning of Unsupervised Representations

    Junnan Li;Pan Zhou;Caiming Xiong;Richard Socher

  • Salient Object Detection With Pyramid Attention and Salient Edges

    Wenguan Wang;Shuyang Zhao;Jianbing Shen;Steven C. H. Hoi

  • Reliable Patch Trackers: Robust visual tracking by exploiting reliable patches

    Yang Li;Jianke Zhu;Steven C.H. Hoi

  • Learning Distance Metrics with Contextual Constraints for Image Retrieval

    S.C.H. Hoi;Wei Liu;M.R. Lyu;Wei-Ying Ma

  • Semisupervised SVM batch mode active learning with applications to image retrieval

    Steven C. H. Hoi;Rong Jin;Jianke Zhu;Michael R. Lyu

  • Semi-supervised distance metric learning for collaborative image retrieval and clustering

    Steven C.h. Hoi;Wei Liu;Shih-Fu Chang

  • Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering

    Peng Gao;Zhengkai Jiang;Haoxuan You;Pan Lu

  • Online Feature Selection and Its Applications

    Jialei Wang;Peilin Zhao;Steven C. H. Hoi;Rong Jin

  • Online portfolio selection: A survey

    Bin Li;Steven C. H. Hoi

  • Large-scale text categorization by batch mode active learning

    Steven C. H. Hoi;Rong Jin;Michael R. Lyu

  • Dynamic Fusion with Intra- and Inter- Modality Attention Flow for Visual Question Answering

    Gao Peng;Zhengkai Jiang;Haoxuan You;Pan Lu

Frequent Co-Authors

Peilin Zhao
Peilin Zhao Tencent (China)
Jianke Zhu
Jianke Zhu Zhejiang University
Rong Jin
Rong Jin Alibaba Group (China)
Michael R. Lyu
Michael R. Lyu Chinese University of Hong Kong
Ying He
Ying He Nanyang Technological University
Chunyan Miao
Chunyan Miao Nanyang Technological University
Jiebo Luo
Jiebo Luo University of Rochester
Caiming Xiong
Caiming Xiong Salesforce (United States)
Tao Mei
Tao Mei Jingdong (China)

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 online degree options is a practical way to advance your education and career in Computer Science. If affordability is a concern, there are several cheap online master's programs that can help you build specialized skills without excessive financial burden.

For those interested in leadership and advanced research roles, the cheapest online doctorate in organizational leadership options provide an accessible pathway to high-level positions. Alternatively, if you are new to higher education or looking for a stepping stone into the field, consider what's the easiest associate's degree to get to quickly enter the job market.

Educational professionals with aspirations in administration may find value in the cheapest online edd programs. Each of these pathways offers flexibility and opportunity, allowing you to tailor your academic journey to fit your goals and budget.

Best Scientists Citing Steven C. H. Hoi

Trending Scientists

Recently Published Articles