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ORCIDSun-Yuan Kung
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- affiliation: Princeton University, USA
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2020 – today
- 2023
[j137]Shuwei Huo
, Yuan Zhou, Wei Xiang, Sun-Yuan Kung:
Weakly-supervised content-based video moment retrieval using low-rank video representation. Knowl. Based Syst. 277: 110776 (2023)- [j136]Yuan Zhou, Xiangrui Li, Keran Chen, Sun-Yuan Kung:
Progressive Learning for Unsupervised Change Detection on Aerial Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j135]Mert Al, Semih Yagli, Sun-Yuan Kung:
Privacy Enhancing Machine Learning via Removal of Unwanted Dependencies. IEEE Trans. Neural Networks Learn. Syst. 34(6): 3019-3033 (2023) - [j134]Zejiang Hou, Sun-Yuan Kung:
Semi-Supervised Few-Shot Learning Via Dependency Maximization and Instance Discriminant Analysis. J. Signal Process. Syst. 95(1): 13-24 (2023) - 2022
- [j133]Yogendra Rao Musunuri, Oh-Seol Kwon, Sun-Yuan Kung:
SRODNet: Object Detection Network Based on Super Resolution for Autonomous Vehicles. Remote. Sens. 14(24): 6270 (2022) - [j132]Yuan Zhou, Xiaoting Du, Mingfei Wang, Shuwei Huo, Yeda Zhang, Sun-Yuan Kung:
Cross-Scale Residual Network: A General Framework for Image Super-Resolution, Denoising, and Deblocking. IEEE Trans. Cybern. 52(7): 5855-5867 (2022) - [j131]Yuan Zhou, Xukai Xie, Sun-Yuan Kung:
Exploiting Operation Importance for Differentiable Neural Architecture Search. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6235-6248 (2022) - [j130]Sun-Yuan Kung:
XNAS: A Regressive/Progressive NAS for Deep Learning. ACM Trans. Sens. Networks 18(4): 57:1-57:32 (2022) - [c167]Zejiang Hou, Sun-Yuan Kung:
Semi-Supervised Few-Shot Learning from A Dependency-Discriminant Perspective. CVPR Workshops 2022: 2816-2824 - [c166]Zejiang Hou, Sun-Yuan Kung:
Multi-Dimensional Vision Transformer Compression via Dependency Guided Gaussian Process Search. CVPR Workshops 2022: 3668-3677 - [c165]Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung:
CHEX: CHannel EXploration for CNN Model Compression. CVPR 2022: 12277-12288 - [c164]Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Richard Zhang, Sun-Yuan Kung:
3D-FM GAN: Towards 3D-Controllable Face Manipulation. ECCV (15) 2022: 107-125 - [c163]Yuchen Liu, Sun-Yuan Kung, David Wentzlaff:
Evolving transferable neural pruning functions. GECCO 2022: 385-394 - [c162]Zejiang Hou, Sun-Yuan Kung:
Multi-Dimensional Model Compression of Vision Transformer. ICME 2022: 1-6 - [c161]Yuchen Liu, David Wentzlaff, Sun-Yuan Kung:
Class-Discriminative CNN Compression. ICPR 2022: 2070-2077 - [c160]Zejiang Hou, Sun-Yuan Kung:
Multi-Dimensional Dynamic Model Compression for Efficient Image Super-Resolution. WACV 2022: 3492-3502 - [i26]Zejiang Hou, Sun-Yuan Kung:
Multi-Dimensional Model Compression of Vision Transformer. CoRR abs/2201.00043 (2022) - [i25]Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung:
CHEX: CHannel EXploration for CNN Model Compression. CoRR abs/2203.15794 (2022) - [i24]Zejiang Hou, Fei Sun, Yen-Kuang Chen, Yuan Xie, Sun-Yuan Kung:
MILAN: Masked Image Pretraining on Language Assisted Representation. CoRR abs/2208.06049 (2022) - [i23]Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Richard Zhang, Sun-Yuan Kung:
3D-FM GAN: Towards 3D-Controllable Face Manipulation. CoRR abs/2208.11257 (2022) - 2021
- [j129]Yuan Zhou, Dandan Li, Shuwei Huo, Sun-Yuan Kung:
Shape autotuning activation function. Expert Syst. Appl. 171: 114534 (2021) - [j128]Yuan Zhou, Yeda Zhang, Xukai Xie, Sun-Yuan Kung:
Image super-resolution based on dense convolutional auto-encoder blocks. Neurocomputing 423: 98-109 (2021) - [j127]Meikang Qiu, Sun-Yuan Kung:
Guest editorial: Special issue on next generation AI approaches for intelligent internet of things. J. Syst. Archit. 114: 101937 (2021) - [j126]Tanvir Mahmud, Md Awsafur Rahman, Shaikh Anowarul Fattah, Sun-Yuan Kung:
CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans. IEEE Trans. Artif. Intell. 2(3): 283-297 (2021) - [j125]Yuan Zhou, Jianxing Yang, Hongru Li, Tao Cao, Sun-Yuan Kung:
Adversarial Learning for Multiscale Crowd Counting Under Complex Scenes. IEEE Trans. Cybern. 51(11): 5423-5432 (2021) - [j124]Yuan Zhou, Ruolin Wang, Hongru Li, Sun-Yuan Kung:
Temporal Action Localization Using Long Short-Term Dependency. IEEE Trans. Multim. 23: 4363-4375 (2021) - [c159]Zejiang Hou, Sun-Yuan Kung:
Parameter Efficient Dynamic Convolution via Tensor Decomposition. BMVC 2021: 107 - [c158]Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Federico Perazzi, Sun-Yuan Kung:
Content-Aware GAN Compression. CVPR 2021: 12156-12166 - [c157]Zejiang Hou, Anwar Walid, Sun-Yuan Kung:
Meta-Learning with Attention for Improved Few-Shot Learning. ICASSP 2021: 2725-2729 - [c156]Zejiang Hou, Sun-Yuan Kung:
Few-Shot Learning Via Dependency Maximization and Instance Discriminant Analysis. MLSP 2021: 1-6 - [e4]Han Qiu, Cheng Zhang, Zongming Fei, Meikang Qiu, Sun-Yuan Kung:
Knowledge Science, Engineering and Management - 14th International Conference, KSEM 2021, Tokyo, Japan, August 14-16, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12815, Springer 2021, ISBN 978-3-030-82135-7 [contents] - [e3]Han Qiu, Cheng Zhang, Zongming Fei, Meikang Qiu, Sun-Yuan Kung:
Knowledge Science, Engineering and Management - 14th International Conference, KSEM 2021, Tokyo, Japan, August 14-16, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12816, Springer 2021, ISBN 978-3-030-82146-3 [contents] - [e2]Han Qiu, Cheng Zhang, Zongming Fei, Meikang Qiu, Sun-Yuan Kung:
Knowledge Science, Engineering and Management - 14th International Conference, KSEM 2021, Tokyo, Japan, August 14-16, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12817, Springer 2021, ISBN 978-3-030-82152-4 [contents] - [i22]Tanvir Mahmud, A. Q. M. Sazzad Sayyed, Shaikh Anowarul Fattah, Sun-Yuan Kung:
A Novel Multi-Stage Training Approach for Human Activity Recognition from Multimodal Wearable Sensor Data Using Deep Neural Network. CoRR abs/2101.00702 (2021) - [i21]Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Federico Perazzi, Sun-Yuan Kung:
Content-Aware GAN Compression. CoRR abs/2104.02244 (2021) - [i20]Thee Chanyaswad, J. Morris Chang, Sun-Yuan Kung:
A compressive multi-kernel method for privacy-preserving machine learning. CoRR abs/2106.10671 (2021) - [i19]Zejiang Hou, Sun-Yuan Kung:
Few-shot Learning via Dependency Maximization and Instance Discriminant Analysis. CoRR abs/2109.02820 (2021) - [i18]Yuchen Liu, David Wentzlaff, Sun-Yuan Kung:
Class-Discriminative CNN Compression. CoRR abs/2110.10864 (2021) - [i17]Yuchen Liu, Sun-Yuan Kung, David Wentzlaff:
Evolving Transferable Pruning Functions. CoRR abs/2110.10876 (2021) - 2020
- [j123]Sun-Yuan Kung, Zejiang Hou:
Augment deep BP-parameter learning with local XAI-structural learning. Commun. Inf. Syst. 20(3): 319-352 (2020) - [j122]Meikang Qiu, Sun-Yuan Kung, Keke Gai:
Intelligent security and optimization in Edge/Fog Computing. Future Gener. Comput. Syst. 107: 1140-1142 (2020) - [j121]Meikang Qiu, Sun-Yuan Kung:
Special issue on 'smart computing and communication' in International Journal of Parallel, Emergent and Distributed Systems. Int. J. Parallel Emergent Distributed Syst. 35(3): 217-218 (2020) - [j120]Yuan Zhou, Hongyu Yang, Yu Hen Hu, Sun-Yuan Kung:
Cross-Layer Network Lifetime Maximization in Underwater Wireless Sensor Networks. IEEE Syst. J. 14(1): 220-231 (2020) - [j119]Yuan Zhou, Tianhao Zhang, Shuwei Huo, Chunping Hou, Sun-Yuan Kung:
Adaptive Irregular Graph Construction-Based Salient Object Detection. IEEE Trans. Circuits Syst. Video Technol. 30(6): 1569-1582 (2020) - [j118]Feng Lin, Jong Hyo Kim, Yoshinobu Sato, Sun-Yuan Kung:
Recent Collaborative R&D in Medical Imaging in Asia. J. Signal Process. Syst. 92(3): 269-275 (2020) - [c155]Mert Al, Zejiang Hou, Sun-Yuan Kung:
Scalable Kernel Learning Via the Discriminant Information. ICASSP 2020: 3152-3156 - [c154]Zejiang Hou, Sun-Yuan Kung:
Efficient Image Super Resolution Via Channel Discriminative Deep Neural Network Pruning. ICASSP 2020: 3647-3651 - [c153]Xukai Xie, Yuan Zhou, Sun-Yuan Kung:
Exploring Highly Efficient Compact Neural Networks For Image Classification. ICIP 2020: 2930-2934 - [c152]Zejiang Hou, Sun-Yuan Kung:
Hierarchically Aggregated Residual Transformation for Single Image Super Resolution. ICPR 2020: 2248-2255 - [c151]Zejiang Hou, Sun-Yuan Kung:
A Discriminant Information Approach to Deep Neural Network Pruning. ICPR 2020: 9553-9560 - [i16]Yuan Zhou, Dandan Li, Shuwei Huo, Sun-Yuan Kung:
Soft-Root-Sign Activation Function. CoRR abs/2003.00547 (2020) - [i15]Yuchen Liu, David Wentzlaff, Sun-Yuan Kung:
Rethinking Class-Discrimination Based CNN Channel Pruning. CoRR abs/2004.14492 (2020) - [i14]Zejiang Hou, Sun-Yuan Kung:
A Feature-map Discriminant Perspective for Pruning Deep Neural Networks. CoRR abs/2005.13796 (2020) - [i13]Mert Al, Semih Yagli, Sun-Yuan Kung:
Privacy Enhancing Machine Learning via Removal of Unwanted Dependencies. CoRR abs/2007.15710 (2020) - [i12]Tanvir Mahmud, Md Awsafur Rahman, Shaikh Anowarul Fattah, Sun-Yuan Kung:
CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans. CoRR abs/2012.01473 (2020)
2010 – 2019
- 2019
- [j117]Yuan Zhou, Shuwei Huo, Wei Xiang, Chunping Hou, Sun-Yuan Kung:
Semi-Supervised Salient Object Detection Using a Linear Feedback Control System Model. IEEE Trans. Cybern. 49(4): 1173-1185 (2019) - [j116]Yuan Zhou, Ailing Mao, Shuwei Huo, Jianjun Lei, Sun-Yuan Kung:
Salient Object Detection via Fuzzy Theory and Object-Level Enhancement. IEEE Trans. Multim. 21(1): 74-85 (2019) - [j115]Shuwei Huo, Yuan Zhou, Wei Xiang, Sun-Yuan Kung:
Semisupervised Learning Based on a Novel Iterative Optimization Model for Saliency Detection. IEEE Trans. Neural Networks Learn. Syst. 30(1): 225-241 (2019) - [j114]Meikang Qiu, Sun-Yuan Kung, Qing Yang:
Editorial: IEEE Transactions on Sustainable Computing, Special Issue on Smart Data and Deep Learning in Sustainable Computing. IEEE Trans. Sustain. Comput. 4(1): 1-3 (2019) - [j113]Meikang Qiu, Sun-Yuan Kung, Qing Yang:
Editorial: IEEE Transactions on Sustainable Computing, Special Issue on Secure Sustainable Green Smart Computing. IEEE Trans. Sustain. Comput. 4(2): 142-144 (2019) - [c150]Sun-Yuan Kung, Zejiang Hou, Yuchen Liu:
Methodical Design and Trimming of Deep Learning Networks: Enhancing External BP Learning with Internal Omnipresent-supervision Training Paradigm. ICASSP 2019: 8058-8062 - [c149]Zejiang Hou, Sun-Yuan Kung:
A Kernel Discriminant Information Approach to Non-linear Feature Selection. IJCNN 2019: 1-10 - [i11]Xukai Xie, Yuan Zhou, Sun-Yuan Kung:
HGC: Hierarchical Group Convolution for Highly Efficient Neural Network. CoRR abs/1906.03657 (2019) - [i10]Mert Al, Zejiang Hou, Sun-Yuan Kung:
Scalable Kernel Learning via the Discriminant Information. CoRR abs/1909.10432 (2019) - [i9]Dandan Li, Yuan Zhou, Shuwei Huo, Sun-Yuan Kung:
Comb Convolution for Efficient Convolutional Architecture. CoRR abs/1911.00387 (2019) - [i8]Yuan Zhou, Hongru Li, Sun-Yuan Kung:
Temporal Action Localization using Long Short-Term Dependency. CoRR abs/1911.01060 (2019) - [i7]Xukai Xie, Yuan Zhou, Sun-Yuan Kung:
Exploiting Operation Importance for Differentiable Neural Architecture Search. CoRR abs/1911.10511 (2019) - 2018
- [j112]Sun-Yuan Kung:
A Compressive Privacy approach to Generalized Information Bottleneck and Privacy Funnel problems. J. Frankl. Inst. 355(4): 1846-1872 (2018) - [j111]Qi Guo, Bo-Wei Chen, Seungmin Rho, Wen Ji, Feng Jiang, Xiangyang Ji, Sun-Yuan Kung:
Efficient Divide-and-Conquer Classification Based on Parallel Feature-Space Decomposition for Distributed Systems. IEEE Syst. J. 12(2): 1492-1498 (2018) - [j110]Meikang Qiu, Sun-Yuan Kung:
Guest Editor's Introduction to the Special Issue on Security and Privacy on Clouds. IEEE Trans. Cloud Comput. 6(2): 301-302 (2018) - [j109]Yinan Yu, Konstantinos I. Diamantaras, Tomas McKelvey, Sun-Yuan Kung:
CLAss-Specific Subspace Kernel Representations and Adaptive Margin Slack Minimization for Large Scale Classification. IEEE Trans. Neural Networks Learn. Syst. 29(2): 440-456 (2018) - [c148]Thee Chanyaswad, Mert Al, Sun-Yuan Kung:
Outlier Removal for Enhancing Kernel-Based Classifier Via the Discriminant Information. ICASSP 2018: 2266-2270 - [c147]Mert Al, Thee Chanyaswad, Sun-Yuan Kung:
Multi-Kernel, Deep Neural Network and Hybrid Models for Privacy Preserving Machine Learning. ICASSP 2018: 2891-2895 - [c146]Hongyu Yang, Yuan Zhou, Yu-Hen Hu, Boyu Wang, Sun-Yuan Kung:
Cross-Layer Design for Network Lifetime Maximization in Underwater Wireless Sensor Networks. ICC 2018: 1-6 - [c145]Yuan Zhou, Jianxing Yang, Yang Chen, Sun-Yuan Kung:
Blurred Image Region Detection based on Stacked Auto-Encoder. ICPR 2018: 2959-2964 - [c144]Yuan Zhou, Shuwei Huo, Ying Chen, Sun-Yuan Kung:
Super-resolution Imaging Based on Global Interpolation and Structural Similarities. ICPR 2018: 2977-2982 - [c143]Jianxing Yang, Yuan Zhou, Sun-Yuan Kung:
Multi-scale Generative Adversarial Networks for Crowd Counting. ICPR 2018: 3244-3249 - [i6]Mert Al, Thee Chanyaswad, Sun-Yuan Kung:
Supervising Nyström Methods via Negative Margin Support Vector Selection. CoRR abs/1805.04018 (2018) - 2017
- [j108]Shibiao Wan, Man-Wai Mak, Sun-Yuan Kung:
FUEL-mLoc: feature-unified prediction and explanation of multi-localization of cellular proteins in multiple organisms. Bioinform. 33(5): 749-750 (2017) - [j107]Sun-Yuan Kung:
Discriminant component analysis for privacy protection and visualization of big data. Multim. Tools Appl. 76(3): 3999-4034 (2017) - [j106]Sun-Yuan Kung:
Compressive Privacy: From Information Estimation Theory to Machine Learning [Lecture Notes]. IEEE Signal Process. Mag. 34(1): 94-112 (2017) - [j105]Shibiao Wan, Man-Wai Mak, Sun-Yuan Kung:
Transductive Learning for Multi-Label Protein Subchloroplast Localization Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 14(1): 212-224 (2017) - [j104]Pei-Yuan Wu, Chi-Chen Fang, J. Morris Chang, Sun-Yuan Kung:
Cost-Effective Kernel Ridge Regression Implementation for Keystroke-Based Active Authentication System. IEEE Trans. Cybern. 47(11): 3916-3927 (2017) - [j103]Sun-Yuan Kung, Thee Chanyaswad, J. Morris Chang, Pei Yuan Wu:
Collaborative PCA/DCA Learning Methods for Compressive Privacy. ACM Trans. Embed. Comput. Syst. 16(3): 76:1-76:18 (2017) - [j102]Yuan Zhou, Liyang Feng, Chunping Hou, Sun-Yuan Kung:
Hyperspectral and Multispectral Image Fusion Based on Local Low Rank and Coupled Spectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 55(10): 5997-6009 (2017) - [c142]Mohammad Al-Rubaie, Pei Yuan Wu, J. Morris Chang, Sun-Yuan Kung:
Privacy-preserving PCA on horizontally-partitioned data. DSC 2017: 280-287 - [c141]Shuwei Huo, Yuan Zhou, Sun-Yuan Kung:
Salient object detection via a linear feedback control system. ICIP 2017: 4257-4261 - [c140]Shuwei Huo, Yuan Zhou, Sun-Yuan Kung:
Semi-supervised saliency classifier based on a linear feedback control system model. IJCNN 2017: 3130-3137 - [c139]Thee Chanyaswad, J. Morris Chang, Sun-Yuan Kung:
A compressive multi-kernel method for privacy-preserving machine learning. IJCNN 2017: 4079-4086 - [c138]Thee Chanyaswad, Mert Al, J. Morris Chang, Sun-Yuan Kung:
Differential mutual information forward search for multi-kernel discriminant-component selection with an application to privacy-preserving classification. MLSP 2017: 1-6 - [i5]Mert Al, Shibiao Wan, Sun-Yuan Kung:
Ratio Utility and Cost Analysis for Privacy Preserving Subspace Projection. CoRR abs/1702.07976 (2017) - [i4]Artur Filipowicz, Thee Chanyaswad, Sun-Yuan Kung:
Desensitized RDCA Subspaces for Compressive Privacy in Machine Learning. CoRR abs/1707.07770 (2017) - [i3]Shibiao Wan, Man-Wai Mak, Sun-Yuan Kung:
Protecting Genomic Privacy by a Sequence-Similarity Based Obfuscation Method. CoRR abs/1708.02629 (2017) - 2016
- [j101]Shibiao Wan, Man-Wai Mak, Sun-Yuan Kung:
Sparse regressions for predicting and interpreting subcellular localization of multi-label proteins. BMC Bioinform. 17: 97 (2016) - [j100]Shibiao Wan, Man-Wai Mak, Sun-Yuan Kung:
Mem-mEN: Predicting Multi-Functional Types of Membrane Proteins by Interpretable Elastic Nets. IEEE ACM Trans. Comput. Biol. Bioinform. 13(4): 706-718 (2016) - [j99]Xinyu He, Bo-Wei Chen, Wen Ji, Seungmin Rho, Sun-Yuan Kung:
Erratum to: Large-scale image colorization based on divide-and-conquer support vector machines. J. Supercomput. 72(4): 1678 (2016) - [j98]Bo-Wei Chen, Xinyu He, Wen Ji, Seungmin Rho, Sun-Yuan Kung:
Large-scale image colorization based on divide-and-conquer support vector machines. J. Supercomput. 72(8): 2942-2961 (2016) - [j97]Bo-Wei Chen, Xinyu He, Wen Ji, Seungmin Rho, Sun-Yuan Kung:
Support vector analysis of large-scale data based on kernels with iteratively increasing order. J. Supercomput. 72(9): 3297-3311 (2016) - [j96]Wen Ji, Yingying Chen, Min Chen, Bo-Wei Chen, Yiqiang Chen, Sun-Yuan Kung:
Profit Maximization through Online Advertising Scheduling for a Wireless Video Broadcast Network. IEEE Trans. Mob. Comput. 15(8): 2064-2079 (2016) - [c137]Yinan Yu, Konstantinos I. Diamantaras, Tomas McKelvey, Sun-Yuan Kung:
Adaptive margin slack minimization in RKHS for classification. ICASSP 2016: 2319-2323 - [c136]Thee Chanyaswad, J. Morris Chang, Prateek Mittal, Sun-Yuan Kung:
Discriminant-component eigenfaces for privacy-preserving face recognition. MLSP 2016: 1-6 - [c135]Konstantinos I. Diamantaras, Sun-Yuan Kung:
Data privacy protection by kernel subspace projection and generalized eigenvalue decomposition. MLSP 2016: 1-6 - [c134]Yinan Yu, Konstantinos I. Diamantaras, Tomas McKelvey, Sun-Yuan Kung:
Enhanced distance subset approximation using class-specific subspace kernel representation for kernel approximation. MLSP 2016: 1-6 - 2015
- [j95]Wen Ji, Bo-Wei Chen, Yiqiang Chen, Sun-Yuan Kung:
Profit Improvement in Wireless Video Broadcasting System: A Marginal Principle Approach. IEEE Trans. Mob. Comput. 14(8): 1659-1671 (2015) - [c133]Sun-Yuan Kung:
Visualization of big data. ICCI*CC 2015: 447-448 - [i2]Qi Guo, Bo-Wei Chen, Feng Jiang, Xiangyang Ji, Sun-Yuan Kung:
Efficient Divide-And-Conquer Classification Based on Feature-Space Decomposition. CoRR abs/1501.07584 (2015) - 2014
- [j94]Felipe A. Tobar, Sun-Yuan Kung, Danilo P. Mandic:
Multikernel Least Mean Square Algorithm. IEEE Trans. Neural Networks Learn. Syst. 25(2): 265-277 (2014) - [c132]Feng Jiang, Shengping Zhang, Debin Zhao, Sun-Yuan Kung:
Image Restoration via Multi-prior Collaboration. ACCV (3) 2014: 191-204 - [c131]Yinan Yu, Konstantinos I. Diamantaras, Tomas McKelvey, Sun-Yuan Kung:
Multiclass Ridge-adjusted Slack Variable Optimization using selected basis for fast classification. EUSIPCO 2014: 1178-1182 - [c130]Shibiao Wan, Man-Wai Mak, Bai Zhang, Yue Joseph Wang, Sun-Yuan Kung:
Ensemble random projection for multi-label classification with application to protein subcellular localization. ICASSP 2014: 5999-6003 - [c129]Pei Yuan Wu, Chi-Chen Fang, J. Morris Chang, Stephen B. Gilbert, Sun-Yuan Kung:
Cost-effective kernel ridge regression implementation for keystroke-based active authentication system. ICASSP 2014: 6028-6032 - [c128]Yinan Yu, Tomas McKelvey, Sun-Yuan Kung:
Feature reduction based on Sum-Of-SNR (SOSNR) optimization. ICASSP 2014: 6756-6760 - 2013
- [j93]J. Morris Chang, Chi-Chen Fang, Kuan-Hsing Ho, Norene Kelly, Pei Yuan Wu, Yixiao Ding, Chris Chu, Stephen B. Gilbert, Ahmed E. Kamal, Sun-Yuan Kung:
Capturing Cognitive Fingerprints from Keystroke Dynamics. IT Prof. 15(4): 24-28 (2013) - [c127]Sun-Yuan Kung:
From green computing to big-data learning: A kernel learning perspective. ASAP 2013: 1 - [c126]Shibiao Wan, Man-Wai Mak, Bai Zhang, Yue Joseph Wang, Sun-Yuan Kung:
An ensemble classifier with random projection for predicting multi-label protein subcellular localization. BIBM 2013: 35-42 - [c125]