PeopleofSuperintelligence

Researcher

Chin-Chen Chang

Also known as Chin‐Chen Chang

Chin-Chen Chang is a computer science professor whose work spans computer graphics, image processing and AI methods for visual tasks. He coauthored a GPU-based voxelization algorithm for polygon models and 3D streamlines in 2010. He coauthored an object-protecting image-resizing approach in 2017, a video style-transfer method in 2018 and neural-network traffic-sign recognition in 2020. His 2023 style-transfer paper on sand-painting generation was extended with convolutional neural networks in 2024; he contributed methodology, writing review and editing, and supervision. In 2025, he coauthored an outdoor augmented-reality system using depth prediction, and as of October 2026 he is a professor at National United University and supervises its Virtual and Augmented Reality Laboratory.

Now at
Department of Computer Science and Information Engineering
Works
1,518
Citations
27,115
h-index
73
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2010

    GPU voxelization for streamlines

    In 2010, he coauthors a geometrical voxelization algorithm for polygon models that computes distances on graphics processing units. The method can voxelize streamlines in 3D vector fields.

  2. 2017

    Protecting main image objects

    In 2017, he coauthors “An improved image resizing approach with protection of main objects” with Chun-Ju Chen and Shao-Hung Hung.

  3. 2018

    Video style transfer

    In 2018, he coauthors “An improved style transfer approach for videos” with Rong-Jie Chang, Der-Lor Way and Zen-Chung Shih.

  4. 2020

    Neural traffic-sign recognition

    In 2020, he coauthors “Improved traffic sign recognition for in-car cameras.” The system uses color information to identify sign regions and a neural network to recognize the signs.

  5. 2023–2024

    CNN sand-painting generation

    In 2023, he coauthors a style-transfer paper for sand-painting generation. Its 2024 extension uses convolutional neural networks. He contributes methodology, writing review and editing, and supervision.

  6. 2025

    Depth prediction for outdoor AR

    In 2025, he coauthors an augmented-reality system with Jhan-Wei Lin to present 3D architectural models outdoors. Its depth-prediction model lets real objects occlude virtual objects.

  7. As of October 2026

    Professor and VR/AR lab supervisor

    As of October 2026, he is a professor in National United University's Department of Computer Science and Information Engineering and supervises its Virtual and Augmented Reality Laboratory. He holds a PhD from National Chiao Tung University; his research interests include computer graphics, virtual reality, digital multimedia and image processing. The lab develops VR and AR algorithms and studies user interaction and perception in those environments.

Career

  1. Since 2013National United UniversityProfessor
  2. NowDepartment of Computer Science and Information EngineeringSupervisor
  3. 2024–2026Research Organization of Information and Systems
  4. 2021–2024University of Warwick
  5. 2019–2023Hangzhou Dianzi University
  6. 2012–2017Asia University
  7. 2005–2014National Tsing Hua University
  8. 2002–2026Feng Chia University
  9. 1991–2017National Chung Cheng University
  10. 1984–1993National Chung Hsing University

Education

  1. National Chiao Tung UniversityPhD

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

  1. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes National Chung Cheng University. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  2. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes University of Warwick. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  3. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes National Tsing Hua University. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  4. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Hangzhou Dianzi University. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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  1. Novel Geometrical Voxelization Approach with Application to Streamlines jcst.ict.ac.cn. Checked 22 October 2026.
  2. 張勤振的著作 csie.nuu.edu.tw. Checked 22 October 2026.
  3. Improved traffic sign recognition for in-car cameras - National Taipei University of Technology ntut.elsevierpure.com. Checked 22 October 2026.
  4. Sand Painting Generation Based on Convolutional Neural Networks - PMC pmc.ncbi.nlm.nih.gov. Checked 22 October 2026.
  5. An Augmented Reality System for Presenting Architecture Models in Outdoor Scenes | European Journal of Applied Sciences journals.scholarpublishing.org. Checked 22 October 2026.
  6. Teachers csie.nuu.edu.tw. Checked 22 October 2026.
  7. Virtual and Augmented Reality Laboratory csie.nuu.edu.tw. Checked 22 October 2026.