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VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI

Jan 13, 2021
Xiaofeng Liu, Fangxu Xing, Chao Yang, C. -C. Jay Kuo, Suma Babu, Georges El Fakhri, Thomas Jenkins, Jonghye Woo


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Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis

Jan 11, 2021
Xiaofeng Liu, Xiongchang Liu, Bo Hu, Wenxuan Ji, Fangxu Xing, Jun Lu, Jane You, C. -C. Jay Kuo, Georges El Fakhri, Jonghye Woo

* Accepted to AAAI 2021 

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GraphHop: An Enhanced Label Propagation Method for Node Classification

Jan 07, 2021
Tian Xie, Bin Wang, C. -C. Jay Kuo


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Protecting Big Data Privacy Using Randomized Tensor Network Decomposition and Dispersed Tensor Computation

Jan 04, 2021
Jenn-Bing Ong, Wee-Keong Ng, Ivan Tjuawinata, Chao Li, Jielin Yang, Sai None Myne, Huaxiong Wang, Kwok-Yan Lam, C. -C. Jay Kuo


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Low-Resolution Face Recognition In Resource-Constrained Environments

Nov 23, 2020
Mozhdeh Rouhsedaghat, Yifan Wang, Shuowen Hu, Suya You, C. -C. Jay Kuo

* 11 pages, 5 figures, under consideration at Pattern Recognition Letters 

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SLADE: A Self-Training Framework For Distance Metric Learning

Nov 20, 2020
Jiali Duan, Yen-Liang Lin, Son Tran, Larry Davis, C. -C. Jay Kuo


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Point Cloud Attribute Compression via Successive Subspace Graph Transform

Oct 29, 2020
Yueru Chen, Yiting Shao, Jing Wang, Ge Li, C. -C. Jay Kuo

* Accepted by VCIP 2020 

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Constructing Multilayer Perceptrons as Piecewise Low-Order Polynomial Approximators: A Signal Processing Approach

Oct 15, 2020
Ruiyuan Lin, Suya You, Raghuveer Rao, C. -C. Jay Kuo

* 5 pages, 3 figures, submitted to IEEE Signal Processing Letters 

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Inductive Learning on Commonsense Knowledge Graph Completion

Sep 19, 2020
Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, C. -C. Jay Kuo

* 10 pages, 3 figures, 7 tables 

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From Two-Class Linear Discriminant Analysis to Interpretable Multilayer Perceptron Design

Sep 09, 2020
Ruiyuan Lin, Zhiruo Zhou, Suya You, Raghuveer Rao, C. -C. Jay Kuo


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NITES: A Non-Parametric Interpretable Texture Synthesis Method

Sep 02, 2020
Xuejing Lei, Ganning Zhao, C. -C. Jay Kuo


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Unsupervised Point Cloud Registration via Salient Points Analysis (SPA)

Sep 02, 2020
Pranav Kadam, Min Zhang, Shan Liu, C. -C. Jay Kuo

* 7 pages, 5 figures, final version is accepted by IEEE International Conference on Visual Communications and Image Processing (VCIP) 2020 

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Unsupervised Feedforward Feature (UFF) Learning for Point Cloud Classification and Segmentation

Sep 02, 2020
Min Zhang, Pranav Kadam, Shan Liu, C. -C. Jay Kuo

* 7 pages, 2 figures, the final version is accepted by VCIP 2020 

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FaceHop: A Light-Weight Low-Resolution Face Gender Classification Method

Jul 21, 2020
Mozhdeh Rouhsedaghat, Yifan Wang, Xiou Ge, Shuowen Hu, Suya You, C. -C. Jay Kuo


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Learning Color Compatibility in Fashion Outfits

Jul 05, 2020
Heming Zhang, Xuewen Yang, Jianchao Tan, Chi-Hao Wu, Jue Wang, C. -C. Jay Kuo


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Novel Human-Object Interaction Detection via Adversarial Domain Generalization

May 22, 2020
Yuhang Song, Wenbo Li, Lei Zhang, Jianwei Yang, Emre Kiciman, Hamid Palangi, Jianfeng Gao, C. -C. Jay Kuo, Pengchuan Zhang


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Multi-View Matching (MVM): Facilitating Multi-Person 3D Pose Estimation Learning with Action-Frozen People Video

Apr 11, 2020
Yeji Shen, C. -C. Jay Kuo

* 16 pages, 6 figures, submitted JVCI 

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Efficient Sentence Embedding via Semantic Subspace Analysis

Mar 04, 2020
Bin Wang, Fenxiao Chen, Yuncheng Wang, C. -C. Jay Kuo

* 7 pages, 2 figures 

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SBERT-WK: A Sentence Embedding Method by Dissecting BERT-based Word Models

Feb 16, 2020
Bin Wang, C. -C. Jay Kuo

* 13 pages, 3 figure, 8 tables 

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PointHop++: A Lightweight Learning Model on Point Sets for 3D Classification

Feb 09, 2020
Min Zhang, Yifan Wang, Pranav Kadam, Shan Liu, C. -C. Jay Kuo

* 4pages, 4 figures 

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PixelHop++: A Small Successive-Subspace-Learning-Based (SSL-based) Model for Image Classification

Feb 08, 2020
Yueru Chen, Mozhdeh Rouhsedaghat, Suya You, Raghuveer Rao, C. -C. Jay Kuo

* 5 pages, 5 figures, 4 tables, Submitted to ICIP 2020 

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Towards Disentangled Representations for Human Retargeting by Multi-view Learning

Dec 12, 2019
Chao Yang, Xiaofeng Liu, Qingming Tang, C. -C. Jay Kuo


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PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation

Nov 07, 2019
Can Qin, Haoxuan You, Lichen Wang, C. -C. Jay Kuo, Yun Fu

* 12 pages, 4 figures, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019) 

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PixelHop: A Successive Subspace Learning (SSL) Method for Object Classification

Sep 17, 2019
Yueru Chen, C. -C. Jay Kuo

* 17 pages, 11 figures, 11 tables 

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Graph Representation Learning: A Survey

Sep 03, 2019
Fenxiao Chen, Yuncheng Wang, Bin Wang, C. -C. Jay Kuo


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PointHop: An Explainable Machine Learning Method for Point Cloud Classification

Jul 30, 2019
Min Zhang, Haoxuan You, Pranav Kadam, Shan Liu, C. -C. Jay Kuo

* 13 pages with 9 figures 

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An Interpretable Compression and Classification System: Theory and Applications

Jul 21, 2019
Tzu-Wei Tseng, Kai-Jiun Yang, C. -C. Jay Kuo, Shang-Ho, Tsai

* 12 pages, 12 figures and 5 tables 

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