Wei Liang梁蔚

Ph.D. Student, Computer Science and Engineering
Lehigh University · Advised by Prof. Lifang He

wel425@lehigh.edu +1 484 937 9749 Google Scholar GitHub LinkedIn CV

I am a second-year Ph.D. student in Computer Science and Engineering at Lehigh University, working with Prof. Lifang He. My research lies at the intersection of deep learning and medical AI, with a focus on multimodal representation learning, contrastive learning, and parameter-efficient adaptation of large models for brain and medical imaging.

Before joining Lehigh, I received my B.S. in Biomedical Engineering from Shantou University, where I was honored with the Best Thesis Award for my work on clinical-prior–driven lesion detection in digital breast tomosynthesis.

News

Sep 2026

PaperOpenSkill, our open-world self-evolution framework for LLM agents, was accepted to EMNLP 2026.

Jun 2026

PaperOur cross-view contrastive alignment paper was accepted to MICCAI 2026.

May 2026

PaperOur SDE-driven spatio-temporal hypergraph paper was accepted to AMIA 2026.

Jan 2026

AwardReceived the IEEE BIBM 2025 Student Travel Award (one of 50 worldwide).

Jan 2026

PaperOur paper on glandular-distribution–aware pretraining for DBT is published at IEEE BIBM 2025.

Aug 2025

NewsStarted my Ph.D. journey at Lehigh University! 🎉

Jul 2025

PaperPaper accepted to IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Jun 2025

NewsGraduated from Shantou University — awarded the Best Thesis Award.

Dec 2024

PaperPaper on APOE ε4 and functional connectivity in AD published in NeuroImage.

Research Interests

Brain & Medical Imaging: functional connectivity, longitudinal disease progression (AD, ADHD, ASD), lesion detection in DBT & CT.
Representation Learning: multimodal contrastive learning, cross-view alignment, self-supervised pretraining.
Efficient LLM Adaptation: parameter-efficient fine-tuning, tensorized LoRA, pathway regularization, machine unlearning.

Selected Publications

† equal contribution · full list on Google Scholar

OpenSkill open-world self-evolution framework

OpenSkill: Open-World Self-Evolution for LLM Agents

Zhiling Yan, Dingjie Song, Hanrong Zhang, Wei Liang, Yuxuan Zhang, Yutong Dai, Lifang He, Philip S. Yu, Ran Xu, Xiang Li, Lichao Sun

EMNLP 2026 Accepted

arXiv

Joint Imaging–ROI Representation Learning via Cross-View Contrastive Alignment for Brain Disorder Classification

Wei Liang, Lifang He

MICCAI 2026 Accepted

Paper Code (coming)

SDE-driven spatio-temporal hypergraph for longitudinal fMRI

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease

Ruiying Chen†, Yutong Wang†, Houliang Zhou, Wei Liang, Yong Chen, Lifang He

AMIA 2026 Accepted

Paper

Glandular Distribution–Aware Pretraining for Architectural Distortion Detection in Digital Breast Tomosynthesis

Wei Liang†, Xiaoling Liu†, Zilong He†, Yue Li, Yun Teng, Chushan Lin, Jiahui Jia, Qianli Zhong, Yile Bin, Jiayi Li, Xiangyuan Ma, Weiguo Chen, Yao Lu

IEEE BIBM 2025 Travel Award

Paper

Stochastic tracking control of brain network

Optimal Stochastic Tracking Control for Brain Network Dynamics

Kangli Dong†, Siya Chen†, Ying Dan, Lu Zhang, Xinyi Li, Wei Liang, Yue Zhao, Yu Sun

Communications Biology 2025

Paper

Generative network model for PSA and stroke

Generative Network Model Reveals Different Trajectories in Brain Networks of PSA and Stroke Patients

Kangli Dong†, Yuming Zhong†, Lu Zhang, Wei Liang, Yue Zhao, Jun Liu, Siya Chen, Seedahmed S. Mahmoud, Yu Sun

IEEE Trans. Neural Systems and Rehabilitation Engineering 2025

Paper

Pairwise Hemorrhage–Brain Region Interaction-Driven Hemorrhagic Stroke Assessment in CT

Wei Liang†, Haixiong Wu†, Hongbin Guo, Zhanyao Huang, Shibin Liang, Jinhuang Zhang, Huiling Zhang, Xiangyuan Ma, Zibi Xu

Physics in Medicine & Biology 2024

Paper

APOE epsilon4 and functional connectivity in AD

Exploring the Impact of APOE ε4 on Functional Connectivity in Alzheimer's Disease Across Cognitive Impairment Levels

Wei Liang†, Kangli Dong†, Ting Hou†, et al., Renhua Wu, Naili Wei

NeuroImage 2024

Paper

Dual-path U-Transformer network for midline shift

Dual-Path U-Transformer Network for Assessment of Brain Midline Shift in Hemorrhagic Stroke

Wei Liang†, Jinhuang Zhang†, Hongbin Guo, Huiling Zhang, Zibi Xu, Xiangyuan Ma

ICGIP 2024 Best Oral

Paper

Education & Experience

Lehigh University

Aug 2025 – present · Bethlehem, PA

Ph.D. in Computer Science and Engineering
Advisor: Prof. Lifang He

Shantou University

Sep 2021 – Jun 2025 · Shantou, China

B.S. in Biomedical Engineering · Best Thesis Award

Computer-Aided Diagnosis Lab

Mar 2022 – Aug 2025 · Research Assistant

Shantou University · Advisor: Prof. Xiangyuan Ma

BGI Research Institute of Life Sciences

Jul 2024 – Aug 2024 · Algorithm Engineer Intern

Hardware & Software R&D Centre, Shenzhen · Advisor: Dr. Mei Li

Honors & Awards

IEEE BIBM 2025 Student Travel Award — one of 50 recipients worldwide ($1,600 USD), 2025
Lehigh University Fellowship — $38,000 USD, 2025
Best Thesis Award, Shantou University, 2025
Best Oral Presentation Award, ICGIP, 2023
Guangdong Silver Prize, Challenge Cup National College Students' Entrepreneurship Competition, 2024
National Third Prize, 8th National College Students' Biomedical Engineering Innovation Design Competition, 2023
7th Place, MICCAI INSTANCE 2022 Challenge on Non-Contrast Computed Tomography Images, 2022

Academic Service

Reviewer: KDD 2027 · KDD 2026 · MICCAI 2026 · ACM HEALTH · IJMLC