Regularized Multi-source Matrix Factorization for Diagnosis of Alzheimer's Disease. - Xiaofan Que; Yazhou Ren 001; Jiayu Zhou; Zenglin Xu (ICONIP (1), 2017)

Self-paced multi-task clustering. - Yazhou Ren 001; Xiaofan Que; Dezhong Yao 001; Zenglin Xu (Neurocomputing, 2019)

Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data. - Yuansheng Zhu; Weishi Shi; Deep Shankar Pandey; Yang Liu; Xiaofan Que; Daniel E. Krutz; Qi Yu 001 (IEEE BigData, 2021)

Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks. - Xiaofan Que; Qi Yu 001 (AAAI, 2024)

Presenting Experiential Educational Machine Learning Labs. - Yang Liu; Xiaofan Que; Dingrong Wang; Samuel A. Malachowsky; Daniel E. Krutz (CSEE&T, 2024)

Accessible Learning Labs: Accessibility Education Through Experiential Learning. - Yang Liu; Xiaofan Que; Dingrong Wang; Samuel A. Malachowsky; Daniel E. Krutz (CSEE&T, 2024)

Optimal Transport of Diverse Unsupervised Tasks for Robust Learning from Noisy Few-Shot Data. - Xiaofan Que; Qi Yu 001 (ECCV (39), 2024)