Classification and Clustering via Structure-enforced Matrix Factorization. - Lijun Xu; Yijia Zhou; Bo Yu 003 (IScIDE, 2017)

A Deep Structure-Enforced Nonnegative Matrix Factorization for Data Representation. - Yijia Zhou; Lijun Xu (PRCV (3), 2018)

Sliding mode observer based hysteresis compensation control for piezoelectric stacks. - Jiaming Hu; Xiaojin Zhu 002; Yubin Fang; Zhiyuan Gao; Yijia Zhou (Trans. Inst. Meas. Control, 2020)

Unsupervised Defogging for Rotary Kilns Image. - Tao Li 056; Yijia Zhou; Na Zhao; Hongzhe Zhao (IEA/AIE (1), 2023)

Scalable Clustering: Large Scale Unsupervised Learning of Gaussian Mixture Models with Outliers. - Yijia Zhou; Kyle A. Gallivan; Adrian Barbu (CoRR, 2023)

A Remote Sim2real Aerial Competition: Fostering Reproducibility and Solutions' Diversity in Robotics Challenges. - Spencer Teetaert; Wenda Zhao; Xinyuan Niu 001; Hashir Zahir; Huiyu Leong; Michel Hidalgo; Gerardo Puga; Tomas Lorente; Nahuel Espinosa; John Alejandro Duarte Carrasco; Kaizheng Zhang; Jian Di; et al. (CoRR, 2023)

Identification of Asymptomatic COVID-19 Patients on Chest CT Images Using Transformer-Based or Convolutional Neural Network-Based Deep Learning Models. - Minyue Yin; Xiaolong Liang; Zilan Wang; Yijia Zhou; Yu He; Yuhan Xue; Jingwen Gao; Jiaxi Lin; Chenyan Yu; Lu Liu; Xiaolin Liu; Chao Xu; et al. (J. Digit. Imaging, 2023)

Fast alternating direction algorithms for sparse portfolio model via sorted ℓ1-norm. - Wenxiu Liu; Lijun Xu; Yijia Zhou; Bo Yu 003 (J. Intell. Fuzzy Syst., 2023)

Pose stabilization control for actuator delayed rigid body dynamics on SE(3) with predicted feedback. - Xiuhui Peng; Yijia Zhou; Zhiyong Sun; Ka-Veng Yuen (J. Frankl. Inst., 2024)

Automated machine learning for the identification of asymptomatic COVID-19 carriers based on chest CT images. - Minyue Yin; Chao Xu; Jinzhou Zhu; Yuhan Xue; Yijia Zhou; Yu He; Jiaxi Lin; Lu Liu; Jingwen Gao; Xiaolin Liu; Dan Shen; Cuiping Fu (BMC Medical Imaging, 2024)