World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
12136
World Ranking
4089
National Ranking
1943

Shiyu Chang publications per year

2010: 1 publications 2011: 1 publications 2012: 2 publications 2013: 4 publications 2014: 8 publications 2015: 8 publications 2016: 16 publications 2017: 16 publications 2018: 20 publications 2019: 25 publications 2020: 16 publications 2021: 24 publications 2022: 30 publications 2023: 24 publications 2024: 26 publications 2025: 13 publications
2010 2025

234 publications in total across all disciplines

Shiyu Chang 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 Shiyu Chang 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: 149 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Shiyu Chang 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 Shiyu Chang 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Shiyu Chang is affiliated with the University of California, Santa Barbara in the United States. Their research primarily focuses on the field of Computer Science, with significant contributions in Artificial Intelligence, Computer Vision and Pattern Recognition, and Signal Processing. Their work also extends into Molecular Biology and Epidemiology, reflecting a multidisciplinary approach.

The scientist's main topics of research include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Adversarial Robustness in Machine Learning
  • Speech Recognition and Synthesis
  • Anomaly Detection Techniques and Applications
  • Advanced Neural Network Applications
  • Generative Adversarial Networks and Image Synthesis

Shiyu Chang has published extensively in several academic venues. The most frequent platforms for their research dissemination are:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Frontiers in Endocrinology
  • Interspeech 2022
  • eLife

Recent papers include:

  • "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up" (2021, arXiv)
  • "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings" (2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies)
  • "Unsupervised Speech Decomposition via Triple Information Bottleneck" (2020, arXiv)
  • "Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding" (2022, Findings of the Association for Computational Linguistics: ACL 2022)
  • "Invariant Rationalization" (2020, arXiv)

Their collaborative work involves frequent co-authors, including:

  • Shuicheng Yan
  • Sijia Liu
  • Zhangyang Wang
  • Kaizhi Qian
  • Bairu Hou

Best Publications

  • Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

    Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer

  • Heterogeneous Network Embedding via Deep Architectures

    Shiyu Chang;Wei Han;Jiliang Tang;Guo-Jun Qi

  • 2014 IEEE International Conference on Data Mining

    Aleksandr Aravkin;Aurelie Lozano;Ronny Luss;Prabhajan Kambadur

  • Learning Locally-Adaptive Decision Functions for Person Verification

    Zhen Li;Shiyu Chang;Feng Liang;Thomas S. Huang

  • Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification

    Shuangjie Xu;Yu Cheng;Kang Gu;Yang Yang

  • AutoGAN: Neural Architecture Search for Generative Adversarial Networks

    Xinyu Gong;Shiyu Chang;Yifan Jiang;Zhangyang Wang

  • R 3 : Reinforced Ranker-Reader for Open-Domain Question Answering.

    Shuohang Wang;Mo Yu;Xiaoxiao Guo;Zhiguo Wang

  • Studying Very Low Resolution Recognition Using Deep Networks

    Zhangyang Wang;Shiyu Chang;Yingzhen Yang;Ding Liu

  • AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

    Kaizhi Qian;Yang Zhang;Shiyu Chang;Xuesong Yang

  • One-Shot Relational Learning for Knowledge Graphs

    Wenhan Xiong;Mo Yu;Shiyu Chang;Xiaoxiao Guo

  • TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up

    Yifan Jiang;Shiyu Chang;Zhangyang Wang

  • Robust Video Super-Resolution with Learned Temporal Dynamics

    Ding Liu;Zhaowen Wang;Yuchen Fan;Xianming Liu

  • Diverse Few-Shot Text Classification with Multiple Metrics

    Mo Yu;Xiaoxiao Guo;Jinfeng Yi;Shiyu Chang

  • Dilated Recurrent Neural Networks

    Shiyu Chang;Yang Zhang;Wei Han;Mo Yu

  • Image Super-Resolution via Dual-State Recurrent Networks

    Wei Han;Shiyu Chang;Ding Liu;Mo Yu

  • D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images

    Zhangyang Wang;Ding Liu;Shiyu Chang;Qing Ling

  • Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning

    Tianlong Chen;Sijia Liu;Shiyu Chang;Yu Cheng

  • The Lottery Ticket Hypothesis for Pre-trained BERT Networks

    Tianlong Chen;Jonathan Frankle;Shiyu Chang;Sijia Liu

  • Streaming Recommender Systems

    Shiyu Chang;Yang Zhang;Jiliang Tang;Dawei Yin

  • Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control

    Mo Yu;Shiyu Chang;Yang Zhang;Tommi S. Jaakkola

  • Unsupervised Speech Decomposition via Triple Information Bottleneck

    Kaizhi Qian;Yang Zhang;Shiyu Chang;David Cox

  • Invariant Rationalization

    Shiyu Chang;Yang Zhang;Mo Yu;Tommi Jaakkola

  • Zero-Shot Voice Style Transfer with Only Autoencoder Loss.

    Kaizhi Qian;Yang Zhang;Shiyu Chang;Xuesong Yang

Frequent Co-Authors

Mo Yu
Mo Yu IBM (United States)
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Zhangyang Wang
Zhangyang Wang The University of Texas at Austin
Xiaoxiao Guo
Xiaoxiao Guo The University of Texas at Dallas
Mark Hasegawa-Johnson
Mark Hasegawa-Johnson University of Illinois at Urbana-Champaign
William Yang Wang
William Yang Wang University of California, Santa Barbara
Sijia Liu
Sijia Liu Michigan State University
Zhaowen Wang
Zhaowen Wang Adobe Systems (United States)
Gerald Tesauro
Gerald Tesauro IBM (United States)

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