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IPOF: An Extremely and Excitingly Simple Outlier Detection Booster via Infinite Propagation


Aug 01, 2021
Sibo Zhu, Handong Zhao, Hongfu Liu


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Economic Recession Prediction Using Deep Neural Network


Jul 21, 2021
Zihao Wang, Kun Li, Steve Q. Xia, Hongfu Liu


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STRODE: Stochastic Boundary Ordinary Differential Equation


Jul 17, 2021
Hengguan Huang, Hongfu Liu, Hao Wang, Chang Xiao, Ye Wang

* Accepted at ICML 2021; typos corrected 

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Deep Clustering based Fair Outlier Detection


Jun 09, 2021
Hanyu Song, Peizhao Li, Hongfu Liu

* To appear in KDD'2021 

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SelfDoc: Self-Supervised Document Representation Learning


Jun 07, 2021
Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu

* To appear in CVPR'2021 

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Fairness-Aware Unsupervised Feature Selection


Jun 04, 2021
Xiaoying Xing, Hongfu Liu, Chen Chen, Jundong Li


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Towards Novel Target Discovery Through Open-Set Domain Adaptation


May 16, 2021
Taotao Jing, Hongfu Liu, Zhengming Ding


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Mining Label Distribution Drift in Unsupervised Domain Adaptation


Jun 16, 2020
Peizhao Li, Zhengming Ding, Hongfu Liu


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Learnable Subspace Clustering


Apr 09, 2020
Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu

* IEEE Transactions on Neural Networks and Learning Systems (accepted with minor revision) 

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Consensus Clustering: An Embedding Perspective, Extension and Beyond


May 31, 2019
Hongfu Liu, Zhiqiang Tao, Zhengming Ding


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Spatially Constrained Generative Adversarial Networks for Conditional Image Generation


May 07, 2019
Songyao Jiang, Hongfu Liu, Yue Wu, Yun Fu


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Predictive Local Smoothness for Stochastic Gradient Methods


May 23, 2018
Jun Li, Hongfu Liu, Bineng Zhong, Yue Wu, Yun Fu

* 14 pages, 7 figures 

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Clustering with Outlier Removal


Jan 05, 2018
Hongfu Liu, Jun Li, Yue Wu, Yun Fu


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