2026 Shiyu Chang: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	56	4089	3974	1942	1875	149	12136

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

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

1791
Citations
Heterogeneous Network Embedding via Deep Architectures

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

655
Citations
2014 IEEE International Conference on Data Mining

Aleksandr Aravkin;Aurelie Lozano;Ronny Luss;Prabhajan Kambadur

463
Citations
Learning Locally-Adaptive Decision Functions for Person Verification

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

428
Citations
Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification

Shuangjie Xu;Yu Cheng;Kang Gu;Yang Yang

362
Citations
AutoGAN: Neural Architecture Search for Generative Adversarial Networks

Xinyu Gong;Shiyu Chang;Yifan Jiang;Zhangyang Wang

329
Citations
R 3 : Reinforced Ranker-Reader for Open-Domain Question Answering.

Shuohang Wang;Mo Yu;Xiaoxiao Guo;Zhiguo Wang

285
Citations
Studying Very Low Resolution Recognition Using Deep Networks

Zhangyang Wang;Shiyu Chang;Yingzhen Yang;Ding Liu

277
Citations
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

Kaizhi Qian;Yang Zhang;Shiyu Chang;Xuesong Yang

275
Citations
One-Shot Relational Learning for Knowledge Graphs

Wenhan Xiong;Mo Yu;Shiyu Chang;Xiaoxiao Guo

273
Citations
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up

Yifan Jiang;Shiyu Chang;Zhangyang Wang

264
Citations
Robust Video Super-Resolution with Learned Temporal Dynamics

Ding Liu;Zhaowen Wang;Yuchen Fan;Xianming Liu

256
Citations
Diverse Few-Shot Text Classification with Multiple Metrics

Mo Yu;Xiaoxiao Guo;Jinfeng Yi;Shiyu Chang

248
Citations
Dilated Recurrent Neural Networks

Shiyu Chang;Yang Zhang;Wei Han;Mo Yu

244
Citations
Image Super-Resolution via Dual-State Recurrent Networks

Wei Han;Shiyu Chang;Ding Liu;Mo Yu

238
Citations
D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images

Zhangyang Wang;Ding Liu;Shiyu Chang;Qing Ling

229
Citations
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning

Tianlong Chen;Sijia Liu;Shiyu Chang;Yu Cheng

201
Citations
The Lottery Ticket Hypothesis for Pre-trained BERT Networks

Tianlong Chen;Jonathan Frankle;Shiyu Chang;Sijia Liu

195
Citations
Streaming Recommender Systems

Shiyu Chang;Yang Zhang;Jiliang Tang;Dawei Yin

163
Citations
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control

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

163
Citations
Unsupervised Speech Decomposition via Triple Information Bottleneck

Kaizhi Qian;Yang Zhang;Shiyu Chang;David Cox

55
Citations
Invariant Rationalization

Shiyu Chang;Yang Zhang;Mo Yu;Tommi Jaakkola

54
Citations
Zero-Shot Voice Style Transfer with Only Autoencoder Loss.

Kaizhi Qian;Yang Zhang;Shiyu Chang;Xuesong Yang

25
Citations

Frequent Co-Authors

Mo Yu IBM (United States)

Thomas S. Huang University of Illinois at Urbana-Champaign

Zhangyang Wang The University of Texas at Austin

Mark Hasegawa-Johnson University of Illinois at Urbana-Champaign

William Yang Wang University of California, Santa Barbara

Sijia Liu Michigan State University

Tommi S. Jaakkola MIT

Zhaowen Wang Adobe Systems (United States)

Gerald Tesauro IBM (United States)

Guo-Jun Qi Futurewei Technologies

External Links

Personal website of Shiyu Chang Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to a range of complementary online degree options and dynamic career opportunities. Many students consider programs beyond computer science, such as those in criminal justice, accounting, data science, and construction management.

Affordability is often a key concern. Prospective students should look into the cost of criminal justice degree programs and compare them to find the best fit. Similarly, the cost of accounting degree online can vary significantly between schools.

For those interested in rapidly developing fields, pursuing an online master data science program can lead to top tech and analytics careers. Another promising pathway is construction management, with options to earn an online construction management degree quickly through accelerated programs.

By exploring these flexible online degrees, students can enhance their skill sets and expand their career prospects in both technical and interdisciplinary roles.