Yunzhi Chen - IEEE Xplore Author Profile
Subscribe
ADVANCED SEARCH

Author details

< Back

Yunzhi Chen

Publications
4
Citations
3
Publications by Year
20082025
Co-Authors:
Show All Co-Authors (13)
Image of author Yunzhi Chen

Yunzhi Chen

Affiliation

Department of Mechanical Engineering
Tsinghua University
Beijing, China
Institute of Precision Medicine
Tsinghua University
Beijing, China

Publication Topics

Biography

Yunzhi Chen received the Ph.D. degree in medical informatics from Zhejiang University, Hangzhou, China, in 2017.,He is currently a Professor with the School of Information Engineering, Hangzhou Vocational and Technical College, Hangzhou. His research interests include machine learning, deep learning, image processing, and object detection.(Based on document published on 4 July 2024).
Publications
4
Citations
3
Publications by Year
20082025
Co-Authors:
Show All Co-Authors (13)
Author's Published Works

Showing 1-4 of 4 results

  • Sort

Filter Results

Show

Sort By

Results

NciaNet: A Non-Covalent Interaction-Aware Graph Neural Network for the Prediction of Protein-Ligand Interaction in Drug Discovery

Guanyu Song;Meifeng Deng;Yunzhi Chen;Shijie Jia;Zhenguo Nie

IEEE Journal of Biomedical and Health Informatics
Year: 2025 | Early Access Article |
Precise quantification of protein-ligand interaction is critical in early-stage drug discovery. Artificial intelligence (AI) has gained massive popularity in this area, with deep-learning models used to extract features from ligand and protein molecules. However, these models often fail to capture intermolecular non-covalent interactions, the primary factor influencing binding, leading to lower ac...Show More

NciaNet: A Non-Covalent Interaction-Aware Graph Neural Network for the Prediction of Protein-Ligand Interaction in Drug Discovery

Guanyu Song;Meifeng Deng;Yunzhi Chen;Shijie Jia;Zhenguo Nie

Year: 2025 | Early Access Article |

Multi-Grained and Confidence-Aware Multiple Instance Network for Infrared Target Detection

Weining Chen;Hongtao Yang;Sansan Chang;Yunzhi Chen;Xinlin Wang;Yaohong Chen

IEEE Transactions on Geoscience and Remote Sensing
Year: 2024 | Volume: 62 | Journal Article |
Weakly supervised object detection (WSOD) methods that trains an object detection network using image-level labels has attracted much attention due to its cost-effective annotation and broad applied requirement. However, applying such weak label to detect targets in infrared images is not trivial due to the less discriminative target information and interference of complex backgrounds. This articl...Show More

Multi-Grained and Confidence-Aware Multiple Instance Network for Infrared Target Detection

Weining Chen;Hongtao Yang;Sansan Chang;Yunzhi Chen;Xinlin Wang;Yaohong Chen

Year: 2024 | Volume: 62 | Journal Article |

CDIO-based curriculum reform in Java-programming

Lu Huang;Yunzhi Chen;Wenming Zhao;Yin Wen

2012 7th International Conference on Computer Science & Education (ICCSE)
Year: 2012 | Conference Paper |
It is known that traditional education is teacher-centered, which is associated chiefly with the transmission of knowledge. It is very hard to raise students' interests and inspire their motives to learn. Consequently, it is ignored that how to develop practical competences for engineering students. The CDIO concept is an innovative educational framework for producing the next generation of engine...Show More

CDIO-based curriculum reform in Java-programming

Lu Huang;Yunzhi Chen;Wenming Zhao;Yin Wen

Year: 2012 | Conference Paper |

Research on Mobile Learning Based on 3G Technology

Yunzhi Chen;Yongmei Gao

2008 Seventh International Conference on Web-based Learning
Year: 2008 | Conference Paper |
Cited by: Papers (3)
3G is a kind of new generation mobile communication system which combines wireless communication with Internet. This paper expatiates concept of mobile learning, realization technology of mobile learning, and mobile learning model based on 3G technology.Show More

Research on Mobile Learning Based on 3G Technology

Yunzhi Chen;Yongmei Gao

Year: 2008 | Conference Paper |

IEEE Account

Purchase Details

Profile Information

Need Help?

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.