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Lyujian Lu

PhD Candidate

Lyujian is a PhD alum from the Colorado School of Mines working with Dr. Hua Wang on research in Machine Learning.

Research Area

  • Convex/Non-convex Optimization
  • Matrix/Tensor Factorization
  • Zero Shot Learning

Publications

2021

Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments Over Progressions

Lyujian Lu, Saad Elbeleidy, Lauren Baker, Hua Wang, Li Shen, Huang Heng

TBME

Journal

Robust Real-Time Group Activity Recognition of Robot Teams

Lyujian Lu, Hua Wang, Brian Reily, Hao Zhang

RA-L

Journal

Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers

Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang

TMI

Journal

2020

Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers

Lyujian Lu, Hua Wang, Saad Elbeleidy, Feiping Nie

CVPR

Conference

Learning Multi-Modal Biomarker Representations via Globally Aligned Longitudinal Enrichments

Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang

AAAI

Conference

2019

Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments Over Progressions

Lyujian Lu, Saad Elbeleidy, Lauren Baker, Hua Wang, Heng Huang, Li Shen

MICCAI

Conference

2018

Predicting Progressions of Cognitive Outcomes via High-Order Multi-Modal Multi-Task Feature Learning

Lyujian Lu, Hua Wang, Xiaohui Yao, Shannon Risacher, Andrew Saykin, Li Shen, for the ADNI

ISBI

Conference

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