
Yue Niu - The Department of Mathematics
Today, Arizona is home to 22 federally recognized tribes, with Tucson being home to the O’odham and the Yaqui. The University strives to build sustainable relationships with …
Yue Niu | UA Profiles
We study a super scalable short segment (4S) detection algorithm in this paper. This nonparametric method clusters the locations where the observations exceed a threshold for segment detection. It is computationally efficient and does not rely on Gaussian noise assumption.
Yue Niu - Google Scholar
Revisiting Sparsity Hunting in Federated Learning: Why does Sparsity Consensus Matter? Transaction on Machine Learning Research (TMLR) | NeurIPS Workshop on … 2019 IEEE 26th International...
Dr. Yue Selena Niu - Google Sites
Associate Professor ENR2 S322 Department of Mathematics University of Arizona Tucson, AZ 85721 email: yueniu@math \\dot arizona \\dot edu
Yue (Julien) Niu’s Homepage | Yue (Julien) Niu’s Homepage - Bio
Yue (Julien) Niu is a research scientist at Meta, working on training and serving efficiency in large-scale recommendation systems. He obtained his Ph.D. at the University of Southern California (USC).
Yue Niu at University of Arizona | Rate My Professors
Yue Niu is a professor in the Mathematics department at University of Arizona - see what their students are saying about them or leave a rating yourself.
Yue Niu - ML Research Scientist - Meta | LinkedIn
View Yue Niu’s profile on LinkedIn, a professional community of 1 billion members.
Yue Niu - Google Scholar
Doctoral student, Carnegie Mellon University - Cited by 73 - Programming languages - semantics
Yue Niu - University of Arizona | LinkedIn
Experience: University of Arizona · Location: Tucson · 242 connections on LinkedIn. View Yue Niu’s profile on LinkedIn, a professional community of 1 billion members.
Guo-Yue Niu - Hydrology and Atmospheric Sciences
Office Hours By appointment only: [email protected]. Expertise Land surface modeling, distributed hydrologic modeling, soil physics and chemistry, snow hydrology, global and regional climate modeling, application of remote sensing to modeling, crop modeling.