Yang, Chengyu (杨程宇）

Yang, Chengyu (杨程宇）

Ph.D. student in computer science at NJIT

Chengyu Yang

Chengyu Yang is a Ph.D. student from the department of computer science at New Jersey Institute of Technology, advised by Prof. Chengjun Liu. Previously, he received his Bachelor’s degree in information & computing science from the department of mathematics at South China University of Technology.

Research Interest

Machine learning, and its application in medical image computing and computer-aided intervention.

Publications

  • Chengyu Yang* and Chengjun Liu, “Towards Building AI Doctor and Digital Assistant by Capitalizing on A Mixture of AI Medical Systems”, 2025 The 6th International Conference on Medical Imaging and Computer-Aided Diagnosis.
  • Chengyu Yang*, Rishik Reddy Yesgari and Chengjun Liu, ““Privacy-Preserving Automated Rosacea Detection Based on Medically Inspired Region of Interest Selection”, IEEE The 2nd International Conference on Electrical and Computer Engineering Researches. [Paper][code]
  • Chengyu Yang*, Rishik Reddy Yesgari and Chengjun Liu, “Patch-based Automatic Rosacea Detection Using the ResNet Deep Learning Framework”, 2025 The 6th International Conference on Medical Imaging and Computer-Aided Diagnosis. [Paper][Code]
  • Chengyu Yang* and Chengjun Liu, “Investigating the Impact of Various Loss Functions and Learnable Wiener Filter for Laparoscopic Image Desmoking”, 2025 The 6th International Conference on Medical Imaging and Computer-Aided Diagnosis. [Paper][Code]
  • Chengyu Yang* and Chengjun Liu, “Laparoscopic Image Desmoking Using the U-Net with New Loss Function and Integrated Differentiable Wiener Filter”, 2025 IEEE The 11th International Conference on Big Data Computing Service and Machine Learning Applications. [Paper][Code]
  • Chengyu Yang* and Chengjun Liu, “Interpretable Automatic Rosacea Detection with Whitened Cosine Similarity”, 2025 IEEE The 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

  • [10/09/2025] Paper “Towards Building AI Doctor and Digital Assistant by Capitalizing on A Mixture of AI Medical Systems” is accepted by The 6th International Conference on Medical Imaging and Computer-Aided Diagnosis at London, UK.
  • [09/10/2025] Paper “Privacy-Preserving Automated Rosacea Detection Based on Medically Inspired Region of Interest Selection” is accepted by IEEE The 2nd International Conference on Electrical and Computer Engineering Researches at Antananarivo, Madagascar.
  • [09/05/2025] Paper “Patch-based Automatic Rosacea Detection Using the ResNet Deep Learning Framework” is accepted by The 6th International Conference on Medical Imaging and Computer-Aided Diagnosis at London, UK.
  • [09/04/2025] Paper “Investigating the Impact of Various Loss Functions and Learnable Wiener Filter for Laparoscopic Image Desmoking” is accepted by The 6th International Conference on Medical Imaging and Computer-Aided Diagnosis at London, UK.
  • [05/26/2025] Paper “Laparoscopic Image Desmoking Using the U-Net with New Loss Function and Integrated Differentiable Wiener Filter” is accepted by The 11th IEEE International Conference on Big Data Computing Service and Machine Learning Applications at Tucson, Arizona.
  • [03/24/2025] Approved for NJIT GSA Travel Award to support conference travel and research presentation.
  • [02/14/2025] Our research group is awarded NJIT Grace Hopper Artificial Intelligence Research Institute seed grant.
  • [12/12/2024] Paper “Interpretable Automatic Rosacea Detection with Whitened Cosine Similarity” is accepted by IEEE The 17th International Conference on Computer Research and Development 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 at The University of Manchester, UK.
  • [09/03/2024] Starting my Ph.D. journey at NJIT.
  • ……

Industrial Experience NJIT Grace Hopper Artificial Intelligence Research Institute seed grant

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

Teaching Experience

  • FA25-DS644-1J1: Intro to Big Data, Teaching Assistant, NJIT
  • SP25-CS375-002: Intro to Machine Learning, Teaching Assistant, NJIT
  • FA25-CS670-001, SP25-CS670-004, FA24-CS670-001/003/855: AI, Teaching Assistant, NJIT