2 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 2 cited
On the Convergence of mSGD and AdaGrad for Stochastic Optimization
Ruinan Jin, Yu Xing, Xingkang He
As one of the most fundamental stochastic optimization algorithms, stochastic gradient descent (SGD) has been intensively developed and extensively applied in machine learning in t…
cs.CV2021★ 2 cited
PURE: Passive mUlti-peRson idEntification via Deep Footstep Separation and Recognition
Chao Cai, Ruinan Jin, Peng Wang +3
Recently, \textit{passive behavioral biometrics} (e.g., gesture or footstep) have become promising complements to conventional user identification methods (e.g., face or fingerprin…