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CHEX: CHannel EXploration for CNN Model Compression


Mar 29, 2022
Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung

* Accepted to CVPR 2022 

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Multi-Dimensional Model Compression of Vision Transformer


Dec 31, 2021
Zejiang Hou, Sun-Yuan Kung


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Few-shot Learning via Dependency Maximization and Instance Discriminant Analysis


Sep 07, 2021
Zejiang Hou, Sun-Yuan Kung


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A Novel Multi-Stage Training Approach for Human Activity Recognition from Multimodal Wearable Sensor Data Using Deep Neural Network


Jan 03, 2021
Tanvir Mahmud, A. Q. M. Sazzad Sayyed, Shaikh Anowarul Fattah, Sun-Yuan Kung

* IEEE Sensors Journal, Volume: 21, Issue:2, Page(s): 1715 - 1726, January 2021 
* 12 Pages, 7 Figures. This article has been published in IEEE Sensors Journal 

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CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans


Dec 02, 2020
Tanvir Mahmud, Md Awsafur Rahman, Shaikh Anowarul Fattah, Sun-Yuan Kung


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Privacy Enhancing Machine Learning via Removal of Unwanted Dependencies


Aug 04, 2020
Mert Al, Semih Yagli, Sun-Yuan Kung

* 21 pages, 4 figures, submitted to IEEE Transactions on Neural Networks and Learning Systems 

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A Feature-map Discriminant Perspective for Pruning Deep Neural Networks


May 28, 2020
Zejiang Hou, Sun-Yuan Kung


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Soft-Root-Sign Activation Function


Mar 01, 2020
Yuan Zhou, Dandan Li, Shuwei Huo, Sun-Yuan Kung


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Exploiting Operation Importance for Differentiable Neural Architecture Search


Nov 24, 2019
Xukai Xie, Yuan Zhou, Sun-Yuan Kung


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Cross-Scale Residual Network for Multiple Tasks:Image Super-resolution, Denoising, and Deblocking


Nov 04, 2019
Yuan Zhou, Xiaoting Du, Yeda Zhang, Sun-Yuan Kung

* 11 pages, 11 figures 

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Temporal Action Localization using Long Short-Term Dependency


Nov 04, 2019
Yuan Zhou, Hongru Li, Sun-Yuan Kung

* 12pages, Trans 

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Comb Convolution for Efficient Convolutional Architecture


Nov 01, 2019
Dandan Li, Yuan Zhou, Shuwei Huo, Sun-Yuan Kung

* 15 pages 

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Scalable Kernel Learning via the Discriminant Information


Sep 23, 2019
Mert Al, Zejiang Hou, Sun-Yuan Kung

* Currently being extended 

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HGC: Hierarchical Group Convolution for Highly Efficient Neural Network


Jun 09, 2019
Xukai Xie, Yuan Zhou, Sun-Yuan Kung

* arXiv admin note: text overlap with arXiv:1711.09224, arXiv:1904.00346, arXiv:1811.07083 by other authors 

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Supervising Nyström Methods via Negative Margin Support Vector Selection


May 18, 2018
Mert Al, Thee Chanyaswad, Sun-Yuan Kung

* 10 pages, 3 figures, 1 table for the main paper. 4 pages, 2 figures, 1 table for the appendix. Submitted to the Thirty-second Annual Conference on Neural Information Processing Systems (NIPS) 

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Protecting Genomic Privacy by a Sequence-Similarity Based Obfuscation Method


Aug 08, 2017
Shibiao Wan, Man-Wai Mak, Sun-Yuan Kung

* 5 pages, 2 figures 

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Ratio Utility and Cost Analysis for Privacy Preserving Subspace Projection


Feb 26, 2017
Mert Al, Shibiao Wan, Sun-Yuan Kung

* Submitted to ICASSP 2017 

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Efficient Divide-And-Conquer Classification Based on Feature-Space Decomposition


Jan 29, 2015
Qi Guo, Bo-Wei Chen, Feng Jiang, Xiangyang Ji, Sun-Yuan Kung

* 5 pages 

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