Third-year B.Eng. Student · Tongji University, Department of Computer Science
I work on graph neural networks and deep learning for medical image analysis and brain disease detection, advised by Prof. Yufei Chen (陈宇飞). My current interests sit at the intersection of fMRI-based brain network modeling, graph-structured learning, and medical image classification. I am attending ICML 2026 in Seoul (Jul 5–11) to present our accepted paper.
Publications
ADHD Disease Detection Based on Short- and Long-Term Brain Function Encoding and Memory Graph Network
We propose SLT-BFGN, a dual-channel graph network that jointly encodes short-term dynamic brain connectivity (sliding-window partial correlation graphs) and long-term static functional connectivity. A memory-augmented graph module captures cross-window temporal dependencies, achieving state-of-the-art ADHD detection on ADHD-200.
Research Internship
Research Intern · Shanghai
Zebrafish Whole-Brain Image Registration
Compared VoxelMorph (deep learning) vs. ANTs SyN (traditional) for registering 77 zebrafish whole-brain volumes (May 2026). VoxelMorph at 2× downsampling with trilinear flow upsampling achieves mean NCC 0.656, outperforming ANTs SyN.
Mouse Digital Brain Model (Ongoing)
Building a multimodal predictive model for a mouse digital brain with wet-lab validation. Guaranteed ≥ 2nd authorship on resulting publication.
Projects
Spinal Vertebra Fracture Classification
Three-class (H/N/O) CT-based vertebra fracture detector, in collaboration with Shanghai Tenth People's Hospital. Built a full DICOM→NIfTI slice extraction→ROI cropping pipeline. DenseNet169 backbone with case-level stratified cross-validation; Grad-CAM analysis of hard examples to diagnose activation drift outside vertebra masks.
Zebrafish Whole-Brain Image Registration
Compared VoxelMorph (deep learning) vs. ANTs SyN (traditional) for registering 77 zebrafish whole-brain volumes. VoxelMorph at 2× downsampling with trilinear flow upsampling outperforms ANTs SyN (mean NCC 0.656), a publishable finding for the zebrafish neuroscience field.
fMRI Brain Disease Detection Survey
Comprehensive review of graph-network paradigms for fMRI-based brain disease detection, covering GNN, Hypergraph NN, Graph Transformer, and VLM approaches. Targeting Science China Information Sciences.
Education
B.Eng. in Computer Science and Technology
Advisor: Prof. Yufei Chen (陈宇飞) · Guaranteed postgraduate admission (保研)
GPA 4.1 / 5.0Honors & Awards