Yang, Chengyu

I am a first-year Ph.D. student in the department of computer science at New Jersey Institute of Technology, advised by Prof. Chengjun Liu. Previously, I received my Bachelor’s degree in information & computing science from the department of mathematics at South China University of Technology.

Research Interest

Machine learning, particularly statistical learning and its application in medical imaging and computer-aided diagnosis.

Publications

  • Chengyu Yang* and Chengjun Liu, “Interpretable Automatic Rosacea Detection with Whitened Cosine Similarity”, 2025 IEEE 17th International Conference on Computer Research and Development.[Paper][Code]
  • Chengyu Yang* and Chengjun Liu, “Increasing Rosacea Awareness Among Population Using Deep Learning and Statistical Approaches”, 2024 The 5th International Conference on Medical Imaging and Computer-Aided Diagnosis. [Paper][Code]

Latest News

  • [02/14/2025] $50,000 grant is awarded by the Grace Hopper Artificial Intelligence Research Institute to our research group for AI-powered rosacea detection research.
  • [12/12/2024] Paper “Interpretable Automatic Rosacea Detection with Whitened Cosine Similarity” is accepted by IEEE 17th International Conference on Computer Research and Development (IEEE ICCRD, 2025) at Shangrao, China.
  • [11/06/2024] Paper “Increasing Rosacea Awareness Among Population Using Deep Learning and Statistical Approaches” is accepted by The 5th International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD, 2024) at The University of Manchester, UK.
  • [09/03/2024] Starting my Ph.D. journey at NJIT.
  • ……

Industrial Experience

  • HUAWEI, Internship, Software Engineer, Jul 2021 - Sep 2021, Shenzhen, China

Teaching Experience

  • SP25-CS375-002: Intro to Machine Learning, Teaching Assistant, NJIT
  • SP25-CS670-004, FA24-CS670-001/003/855: AI, Teaching Assistant, NJIT
  • SP24-CSCI301: Software Development, Teaching Assistant, William & Mary
  • FA23-CSCI243, SP23-CSCI243: Discrete Structures, Teaching Assistant, William & Mary
  • FA22-CSCI340: Algorithms, Teaching Assistant, William & Mary