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Multi-class Classification with Fuzzy-feature Observations: Theory and Algorithms


Jun 09, 2022
Guangzhi Ma, Jie Lu, Feng Liu, Zhen Fang, Guangquan Zhang

* This article has been accepted by IEEE Transactions on Cybernetics on June 4, 2022 

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Bayesian Transfer Learning: An Overview of Probabilistic Graphical Models for Transfer Learning


Sep 27, 2021
Junyu Xuan, Jie Lu, Guangquan Zhang


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Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time


Sep 20, 2021
Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang


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Learning Bounds for Open-Set Learning


Jun 30, 2021
Zhen Fang, Jie Lu, Anjin Liu, Feng Liu, Guangquan Zhang

* Open-set Learning, Open-set Recognition, Machine Learning Theory 

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Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data


Jun 14, 2021
Feng Liu, Wenkai Xu, Jie Lu, Danica J. Sutherland

* Code is available from https://github.com/fengliu90/MetaTesting 

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Automatic Learning to Detect Concept Drift


May 04, 2021
Hang Yu, Tianyu Liu, Jie Lu, Guangquan Zhang


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Decentralized Statistical Inference with Unrolled Graph Neural Networks


Apr 04, 2021
He Wang, Yifei Shen, Ziyuan Wang, Dongsheng Li, Jun Zhang, Khaled B. Letaief, Jie Lu


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PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior


Feb 07, 2021
Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang


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How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?


Dec 30, 2020
Li Zhong, Zhen Fang, Feng Liu, Jie Lu, Bo Yuan, Guangquan Zhang

* 9 pages, 3 figures, Accepted by Association for the Advancement of Artificial Intelligence 2021 (AAAI 2021) 

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Interactive Steering of Hierarchical Clustering


Sep 21, 2020
Weikai Yang, Xiting Wang, Jie Lu, Wenwen Dou, Shixia Liu

* Accepted for IEEE Transactions on Visualization and Computer Graphics (TVCG) 

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