Zane Durante - Machine Learning Researcher

Bio

My name is Zane Durante, and I am currently a second-year PhD student at Stanford University, advised by Fei-Fei Li. My research interests are in multimodal visual understanding and applying artificial intelligence to improve healthcare. I am also broadly interested in creating AI systems that can reason about multiple input modalities and in applying AI for social good.

Publications

MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing

2022 NeurIPS

Z. Luo, Zane Durante, L. Li, W. Xie, R. Liu, E. Jin, Z. Huang, L.Y. Li, J. Wu, J.C. Niebles, E. Adeli, L. Fei-Fei

Code | PDF

Causal Indicators for Assessing the Truthfulness of Child Speech in Forensic Interviews

2022 CSPL Vol 71

Zane Durante, V Ardulov, M Kumar, J Gongola, T Lyon, S Narayanan

Paper link

Speech Representations and Phoneme Classification for Preserving the Endangered Language of Ladin

2021 MLSLP

Zane Durante, L. Mathur, E. Ye, S. Zhao, T. Ramdas, K. Iskarous

arXiv

Identifying Truthful Language in Child Interviews

2020 ICASSP

V. Ardulov, Zane Durante, S. Williams, T. Lyon, S. Narayanan

Paper link

Canagliflozin Inhibits Human Endothelial Cell Proliferation and Tube Formation

2019 Frontiers in Pharmacology, Vol 10

G. Behnammanesh, Zane Durante, K. Peyton, L. Martinez-Lemus, S. Brown, S. Bender, W. Durante

Paper link

Heme Oxygenase-1-Derived Bilirubin Counteracts HIV Protease Inhibitor-Mediated Endothelial Cell Dysfunction

2016 Free Radical Biology and Medicine, Vol 91

X.M. Liu, Zane Durante, K. Peyton, W. Durante

Paper link