Scholar
Yuzhe Lu
Google Scholar ID: eqCMAkgAAAAJ
Amazon Web Services
Citations & Impact
Citations
526
H-index
13
i10-index
15
Publications
18
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- - Publications:
- - Characterizing Out-of-Distribution Error via Optimal Transport, NeurIPS 2023
- - Set Locality Sensitive Hashing via Sliced Wasserstein Embeddings, WACV 2022 (submitted)
- - Wasserstein Task Embedding for Measuring Task Similarities, Neural Networks 2022 (submitted)
- - An Interactive Interpretability System for Breast Cancer Screening with Deep Learning, IEEE VIS 2022
- - Scale-reinforced Implicit Neural Representations, IEEE TVCG 2022 (submitted)
- - Neural Flow Map Reconstruction, Computer Graphics Forum (EuroVis Proceedings) 2022
- - Compressive Neural Representations of Volumetric Scalar Fields, Computer Graphics Forum (EuroVis Proceedings) 2021
- - Holistic Fine-grained Global Glomerulosclerosis Characterization: From Detection to Unbalanced Classification, Journal of Medical Imaging (JMI) 2021
- - SimTriplet: Simple Triplet Representation Learning with a Single GPU, arXiv preprint
Research Experience
- - Interned at AWS Titan Labs
- - Interned at LLNL Machine Intelligence Group
Education
- - Master's student in the machine learning department at Carnegie Mellon University, Advisor: Katia Sycara
- - Graduated from Vanderbilt University with honors in computer science and mathematics
Background
- - Research Interests: Machine Learning
- - Specialties: Deep learning applications, medical imaging, data visualization
- - Summary: Aiming to build safe and responsible technologies
Miscellany
- - As a first-generation student, believes everyone should have access to quality education
- - Co-founder of Gaokaopedia
- - Part of AI Mentoring for Underrepresented Student Groups at CMU
