activity
20222024
most citedEfficient SGD Neural Network Training via Sublinear Activated Neuron Identification

2 citations · 4 across the 9 of their papers we have counts for

collaborators

9 papers

eess.SP2024

A Combination Model Based on Sequential General Variational Mode Decomposition Method for Time Series Prediction

Wei Chen, Yuanyuan Yang, Jianyu Liu

Accurate prediction of financial time series is a key concern for market economy makers and investors. The article selects online store sales and Australian beer sales as represent…

astro-ph.CO20241 cited

Learning Galaxy Intrinsic Alignment Correlations

Sneh Pandya, Yuanyuan Yang, Nicholas Van Alfen +2

The intrinsic alignments (IA) of galaxies, regarded as a contaminant in weak lensing analyses, represents the correlation of galaxy shapes due to gravitational tidal interactions a…

math.NA2024

On the robustness of double-word addition algorithms

Yuanyuan Yang, XinYu Lyu, Sida He +3

We demonstrate that, even when there are moderate overlaps in the inputs of sloppy or accurate double-word addition algorithms in the QD library, these algorithms still guarantee e…

cs.LG2023

Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training

Lianke Qin, Saayan Mitra, Zhao Song +2

In this paper, we consider a heavy inner product identification problem, which generalizes the Light Bulb problem~(\cite{prr89}): Given two sets and $B \sub…

cs.DS2023

Dueling Optimization with a Monotone Adversary

Avrim Blum, Meghal Gupta, Gene Li +3

We introduce and study the problem of dueling optimization with a monotone adversary, which is a generalization of (noiseless) dueling convex optimization. The goal is to design an…

cs.LG20231 cited

A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks

Yanjie Li, Bin Xie, Songtao Guo +2

Benefiting from the rapid development of deep learning, 2D and 3D computer vision applications are deployed in many safe-critical systems, such as autopilot and identity authentica…