Publications (6)
A Neighborhood-Assisted Hotelling's Test for High-Dimensional Means
Jun Li, Yumou Qiu, Lingjun Li
Many tests have been proposed to remedy the classical Hotelling's test in the "large , small " paradigm, but the existence of an optimal sum-of-squares type test has no…
Yuan 2.0-M32: Mixture of Experts with Attention Router
Shaohua Wu, Jiangang Luo, Xi Chen +12
Yuan 2.0-M32, with a similar base architecture as Yuan-2.0 2B, uses a mixture-of-experts architecture with 32 experts of which 2 experts are active. A new router network, Attention…
A Perception CNN for Facial Expression Recognition
Chunwei Tian, Jingyuan Xie, Lingjun Li +3
Convolutional neural networks (CNNs) can automatically learn data patterns to express face images for facial expression recognition (FER). However, they may ignore effect of facial…
Change Point Detection in the Mean of High-Dimensional Time Series Data under Dependence
Jun Li, Minya Xu, Ping-Shou Zhong +1
High-dimensional time series are characterized by a large number of measurements and complex dependence, and often involve abrupt change points. We propose a new procedure to detec…
YUAN 2.0: A Large Language Model with Localized Filtering-based Attention
Shaohua Wu, Xudong Zhao, Shenling Wang +9
In this work, we develop and release Yuan 2.0, a series of large language models with parameters ranging from 2.1 billion to 102.6 billion. The Localized Filtering-based Attention…
Online Change-Point Detection in High-Dimensional Covariance Structure with Application to Dynamic Networks
Lingjun Li, Jun Li
In this paper, we develop an online change-point detection procedure in the covariance structure of high-dimensional data. A new stopping rule is proposed to terminate the process…