Jialei He

I am an undergraduate student in Data Science and Big Data Technology at Xi’an Jiaotong-Liverpool University. My research focuses on medical image restoration and longitudinal disease prediction.

Education

Xi’an Jiaotong-Liverpool University

Data Science and Big Data Technology

GPA: 3.96/4.00

Academic Excellence Award
2024–2025 and 2025–2026 · Two consecutive academic years

Sep 2024 – Jun 2028Expected graduation

Core Coursework

Current: Machine Learning · Database Development and Design · Networking and Distributed Computing
Foundations: Probability and Statistics · Linear Algebra · Calculus · Numerical Methods · Data Structures and Algorithms · Operating Systems · Programming in Python and C++ · Data Analysis

Research

ContiLNN: Mitigating Slice Sampling Discontinuity with Liquid Neural Networks for Medical Image Restoration

Jialei He, Enhe Liu, Sifan Song, Pengfei Jin, Jionglong Su, Hongbin Wang, Zhixiang Lu, Yanhao Huang, Anteng Cai, Zhengyong Jiang, Jiaman Ding, S. Kevin Zhou, Jinfeng Wang

Under submission to Medical Image Analysis

ContiLNN models cross-slice continuity with liquid neural networks for CT denoising, MRI super-resolution, and reduced-count PET restoration.

arXiv preprint

Longitudinal Disease Prediction

Ongoing research

I study how longitudinal medical images can be used to forecast future scans and characterize changes in lesions over time.

Research interests
Medical image restoration · Longitudinal disease prediction · Medical image segmentation · Medical image slice interpolation · EEG signal analysis

Research Experience

Xi’an Jiaotong-Liverpool University

Research Assistant

Research on medical image restoration and longitudinal image prediction.

Sep 2025 – Present

East China Normal University

Research Assistant

Prepared and standardized medical imaging data, and supported literature reviews and statistical analysis in biomedical engineering and rehabilitation.

Jun – Aug 2025

Internships

Zhicheng Computing Network

A Shenzhen Smart City Group company

Intern · Solutions and Product Center

Worked on agentic retrieval-augmented generation (RAG).

Jun – Jul 2026

Aesop

Part-time Sales Associate · Suzhou

Achieved peak monthly personal sales of RMB 200,000.

Feb – Jun 2025

China Pacific Insurance

Data Support Intern · Shenzhen Branch

Cleaned and analyzed customer and sales data using Python and Excel, including customer segments, renewal rates, and sales trends.

Jul – Sep 2024