HAN Hongcheng ☕️

HAN Hongcheng

(he/him)

PhD Candidate in Control Science and Engineering

Xi’an Jiaotong University

Professional Summary

Han Hongcheng (韩泓丞) received the degree of B.Eng. in School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an, China in 2020. Since then, he is studying for Ph.D. degree in Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University. His interests focus on intelligent transportation and medical image analysis, specializing in Multimodal data fusion and Image Synthesis.
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Education

Visiting PhD Student

2026-03
2027-03

National University of Singapore

PhD Candidate in Control Science and Engineering

2022-09
2027-06

Xi’an Jiaotong University

BS Energy and Power Engineering

2016-09
2020-06

Xi’an Jiaotong University

Interests

Machine Learning Computer Vision Medical Image Analysis
📚 My Research
My research focuses on AI-driven medical image analysis, including medical image segmentation, multimodal fusion diagnosis, and cross-modal generation. Currently, I am dedicated to developing a visual foundation model for multimodal ultrasound imaging. This model is designed to support diverse modalities such as B-mode ultrasound, elastography, color Doppler ultrasound, and contrast-enhanced ultrasound, enabling diagnostic assistance for multiple diseases including thyroid and breast conditions.
Featured Publications
AsyCMST: Asymmetric cross-modal spatio-temporal learning for multimodal ultrasound nodule recognition featured image
Medical Image Analysis

AsyCMST: Asymmetric cross-modal spatio-temporal learning for multimodal ultrasound nodule recognition

Multimodal ultrasound combining B-mode ultrasound (BUS) and contrast-enhanced ultrasound (CEUS) has become a powerful tool for diagnosing superficial nodules in the thyroid and …

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HSC-T: B-ultrasound-to-elastography translation via hierarchical structural consistency learning for thyroid cancer diagnosis featured image
IEEE J-BHI

HSC-T: B-ultrasound-to-elastography translation via hierarchical structural consistency learning for thyroid cancer diagnosis

Elastography ultrasound imaging is increasingly important in the diagnosis of thyroid cancer and other diseases, but its reliance on specialized equipment and techniques limits …

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GSA-Gaze: Generative Self-adversarial Learning for Domain Generalized Driver Gaze Estimation featured image
IEEE ITSC

GSA-Gaze: Generative Self-adversarial Learning for Domain Generalized Driver Gaze Estimation

Estimating driver gaze accurately is critical for the human-machine cooperative driving, but the significant facial appearance diversions caused by background, illumination, …

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Recent Publications
HAN Hongcheng, Zhiqian Tian, Minghao Wang, Yutong Zhang, Dong Zhang, Qinbo Guo, Hui Guo, Jue Jiang, Shaoyi Du
Corresponding author
, Juan Wang
Equal contribution
(2026). AsyCMST: Asymmetric cross-modal spatio-temporal learning for multimodal ultrasound nodule recognition. Medical Image Analysis, 112.
Source Document Code PDF DOI
HAN Hongcheng, Zhiqiang Tian, Qinbo Guo, Jue Jiang, Shaoyi Du*
Corresponding author
, Juan Wang*
Corresponding author
(2025). HSC-T: B-ultrasound-to-elastography translation via hierarchical structural consistency learning for thyroid cancer diagnosis. IEEE Journal of Biomedical and Health Informatics, 29(2).
Source Document Code PDF DOI
HAN Hongcheng, Zhiqiang Tian, Yuying Liu, Shengpeng Li, Dong Zhang, Shaoyi Du*
Corresponding author
(2024). GSA-Gaze: Generative Self-adversarial Learning for Domain Generalized Driver Gaze Estimation. IEEE International Conference on Intelligent Transportation Systems (ITSC).
Source Document Code PDF DOI
Competitions

Competition Awards in Science and Technology

First Prize in Asia-Pacific Mathematical Contest in Modeling (APMCM)
Organizing Committee of Asia and Pacific Mathematical Contest in Modeling ∙ November 2024
Awarded for outstanding work on underwater image analysis and restoration.
Third Prize in China Postgraduate Mathematical Contest in Modeling
Department of Degree Management and Graduate Education, Ministry of Education, China ∙ September 2024
Awarded for outstanding work on modeling and analysis of the magnetic field of electromagnetic components.
Championship of SAE Aero Design Competition (Micro-class Airplane)
SAE, USA ∙ April 2019
The overall champion of all the events, and also the first place in the flying competition.