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Ali Younis

ayounis (at) uci (dot) edu

ABOUT

Hello! I am a fifth-year PhD student in Computer Science at the University of California, Irvine, advised by Professor Erik Sudderth. My research mainly focuses on understanding the world from camera data. More specifically I like using particle based non-parametric belief propagation methods to solve hard computer vision tasks in time varying systems. Applications of my research are robotics, AR/VR, autonomous driving, and other computer vision tasks. Previously, I worked as a software engineer at Modal AI, a software engineer at Tyvak (now Terran Orbital) and as an intern at Qualcomm. I received an M.S. in Computer Science and a B.S. in Computer Science and Engineering from the University of California, Irvine.

PUBLICATIONS

"Learning to be Smooth: An End-to-End Differentiable Particle Smoother"
Ali Younis, Erik B. Sudderth
(To Appear) Neural Information Processing Systems (Neurips), 2024

"Differentiable and Stable Long-Range Tracking of Multiple Posterior Modes"
Ali Younis, Erik B. Sudderth
Neural Information Processing Systems (Neurips), 2023
Paper · Poster · Video

A Decoder Suffices for Query-Adaptive Variational Inference
Sakshi Agarwal, Gabriel Hope, Ali Younis, Erik B. Sudderth
Uncertainty in Artificial Intelligence (UAI), 2023
Abstract · Paper · Supplement · Poster · Video

Vigilia: Securing Smart Home Edge Computing
Rahmadi Trimananda, Ali Younis, Bojun Wang, Bin Xu, Brian Demsky, Guoqing Xu
IEEE ACM Symposium on Edge Computing (SEC), 2018
Paper




POSTERS

Securing Smart Home Devices against Compromised Cloud Servers
Rahmadi Trimananda, Ali Younis, Thomas Kwa, Brian Demsky
USENIX Workshop on Hot Topics in Edge Computing (HotEdge), 2020
Paper · Poster