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Xiaofan Que
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2020 – today
- 2024
- [c6]Xiaofan Que, Qi Yu:
Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks. AAAI 2024: 14740-14748 - [c5]Yang Liu, Xiaofan Que, Dingrong Wang, Samuel A. Malachowsky, Daniel E. Krutz:
Presenting Experiential Educational Machine Learning Labs. CSEE&T 2024: 1-2 - [c4]Yang Liu, Xiaofan Que, Dingrong Wang, Samuel A. Malachowsky, Daniel E. Krutz:
Accessible Learning Labs: Accessibility Education Through Experiential Learning. CSEE&T 2024: 1-2 - [c3]Xiaofan Que
, Qi Yu
:
Optimal Transport of Diverse Unsupervised Tasks for Robust Learning from Noisy Few-Shot Data. ECCV (39) 2024: 294-311 - 2021
- [c2]Yuansheng Zhu
, Weishi Shi, Deep Shankar Pandey, Yang Liu, Xiaofan Que, Daniel E. Krutz, Qi Yu
:
Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data. IEEE BigData 2021: 1772-1778 - [i2]Yuansheng Zhu, Weishi Shi, Deep Shankar Pandey, Yang Liu, Xiaofan Que, Daniel E. Krutz, Qi Yu:
Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data. CoRR abs/2111.08625 (2021)
2010 – 2019
- 2019
- [j1]Yazhou Ren
, Xiaofan Que, Dezhong Yao, Zenglin Xu
:
Self-paced multi-task clustering. Neurocomputing 350: 212-220 (2019) - 2018
- [i1]Yazhou Ren, Xiaofan Que, Dezhong Yao, Zenglin Xu:
Self-Paced Multi-Task Clustering. CoRR abs/1808.08068 (2018) - 2017
- [c1]Xiaofan Que, Yazhou Ren
, Jiayu Zhou, Zenglin Xu:
Regularized Multi-source Matrix Factorization for Diagnosis of Alzheimer's Disease. ICONIP (1) 2017: 463-473
Coauthor Index

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