default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSun-Yuan Kung
Person information
- affiliation: Princeton University, USA
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j146]Yogendra Rao Musunuri
, Changwon Kim, Oh-Seol Kwon, Sun-Yuan Kung:
Object Detection Using ESRGAN With a Sequential Transfer Learning on Remote Sensing Embedded Systems. IEEE Access 12: 102313-102327 (2024)- [j145]Yuan Zhou, Songyu Fang, Shuoshi Li, Boyu Wang, Sun-Yuan Kung:
Contrastive learning based open-set recognition with unknown score. Knowl. Based Syst. 296: 111926 (2024) - [j144]Yogendra Rao Musunuri, Oh-Seol Kwon, Sun-Yuan Kung:
Cross-Transfer Learning for Enhancing Object Detection in Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j143]Shuwei Huo, Yuan Zhou, Lei Zhang, Yanjie Feng, Wei Xiang, Sun-Yuan Kung:
Geometric Variation Adaptive Network for Remote Sensing Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j142]Shuoshi Li, Yuan Zhou, Sun-Yuan Kung:
PSRNet: A Progressive Self-Refine Network for Lightweight Optical Remote Sensing Image Dehazing. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j141]Yuan Zhou, Zhongqi Sun, Shuwei Huo, Sun-Yuan Kung:
Dynamic View Aggregation for Multi-View 3D Shape Recognition. IEEE Trans. Multim. 26: 9163-9174 (2024) - [j140]Yuan Zhou, Jieke Hao, Shuwei Huo, Boyu Wang, Leijiao Ge, Sun-Yuan Kung:
Automatic Metric Search for Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 35(7): 10098-10109 (2024) - [c168]Zhihui Lv, Jihe Wang, Sun-Yuan Kung:
Message from the General Chairs; IEEE CSCloud/EdgeCom 2024. CSCloud 2024: xi - 2023
- [j139]Tamjid Imtiaz, Shaikh Anowarul Fattah, Sun-Yuan Kung:
BAWGNet: Boundary aware wavelet guided network for the nuclei segmentation in histopathology images. Comput. Biol. Medicine 165: 107378 (2023) - [j138]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) - [j137]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) - [j136]Shuwei Huo, Yuan Zhou, Ruolin Wang, Wei Xiang, Sun-Yuan Kung:
Semantic Relevance Learning for Video-Query Based Video Moment Retrieval. IEEE Trans. Multim. 25: 9290-9301 (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]Yinan Yu, Tomas McKelvey, Sun-Yuan Kung:
A classification scheme for 'high-dimensional-small-sample-size' data using soda and ridge-SVM with microwave measurement applications. ICASSP 2013: 3542-3546 - [c124]Shibiao Wan, Man-Wai Mak, Sun-Yuan Kung:
Adaptive thresholding for multi-label SVM classification with application to protein subcellular localization prediction. ICASSP 2013: 3547-3551 - [c123]Yinan Yu, Tomas McKelvey, Sun-Yuan Kung:
Kernel SODA: A Feature Reduction Technique Using Kernel Based Analysis. ICMLA (1) 2013: 72-78 - [c122]Rasmus Rothe, Yinan Yu, Sun-Yuan Kung:
Parameter design tradeoff between prediction performance and training time for Ridge-SVM. MLSP 2013: 1-6 - [c121]Yinan Yu, Konstantinos I. Diamantaras, Tomas McKelvey, Sun-Yuan Kung:
Ridge-adjusted Slack Variable Optimization for supervised classification. MLSP 2013: 1-6 - [p2]Yu Hen Hu, Sun-Yuan Kung:
Systolic Arrays. Handbook of Signal Processing Systems 2013: 1111-1143 - 2012
- [j92]Shibiao Wan, Man-Wai Mak, Sun-Yuan Kung:
mGOASVM: Multi-label protein subcellular localization based on gene ontology and support vector machines. BMC Bioinform. 13: 290 (2012) - [j91]Kyong-Ho Lee, Sun-Yuan Kung, Naveen Verma:
Low-energy Formulations of Support Vector Machine Kernel Functions for Biomedical Sensor Applications. J. Signal Process. Syst. 69(3): 339-349 (2012) - [c120]Zhuo Zhang, Xiaodong Gu, Sun-Yuan Kung:
Color-frequency-orientation histogram based image retrieval. ICASSP 2012: 1321-1324 - [c119]Man-Wai Mak, Sun-Yuan Kung:
Low-power SVM classifiers for sound event classification on mobile devices. ICASSP 2012: 1985-1988 - [c118]Sun-Yuan Kung, Pei Yuan Wu:
On efficient learning and classification kernel methods. ICASSP 2012: 2065-2068 - [c117]Shibiao Wan, Man-Wai Mak, Sun-Yuan Kung:
GOASVM: Protein subcellular localization prediction based on Gene ontology annotation and SVM. ICASSP 2012: 2229-2232 - [c116]Sun-Yuan Kung, Pei Yuan Wu:
Perturbation regulated kernel regressors for supervised machine learning. MLSP 2012: 1-6 - 2011
- [j90]Sun-Yuan Kung, Man-Wai Mak:
PDA-SVM Hybrid: A Unified Model for Kernel-Based Supervised Classification. J. Signal Process. Syst. 65(1): 5-21 (2011) - [c115]Shaikh Anowarul Fattah, Chia-Chun Lin, Sun-Yuan Kung:
A mutual information based approach for evaluating the quality of clustering. ICASSP 2011: 601-604 - [c114]Kyong-Ho Lee, Sun-Yuan Kung, Naveen Verma:
Improving kernel-energy trade-offs for machine learning in implantable and wearable biomedical applications. ICASSP 2011: 1597-1600 - [c113]Shibiao Wan, Man-Wai Mak, Sun-Yuan Kung:
Protein subcellular localization prediction based on profile alignment and Gene Ontology. MLSP 2011: 1-6 - 2010
- [j89]Tzuen Wuu Hsieh, Jin-Shiuh Taur, Sun-Yuan Kung:
A KNN-Scoring Based Core-Growing Approach to Cluster Analysis. J. Signal Process. Syst. 60(1): 105-114 (2010) - [j88]Sun-Yuan Kung, Yuhui Luo, Man-Wai Mak:
Feature Selection for Genomic Signal Processing: Unsupervised, Supervised, and Self-Supervised Scenarios. J. Signal Process. Syst. 61(1): 3-20 (2010) - [c112]Man-Wai Mak, Wei Wang, Sun-Yuan Kung:
Truncation of protein sequences for fast profile alignment with application to subcellular localization. BIBM 2010: 115-120 - [c111]Wei Wang, Man-Wai Mak, Sun-Yuan Kung:
Speeding up subcellular localization by extracting informative regions of protein sequences for profile alignment. CIBCB 2010: 1-8 - [c110]Weichao Xu, Peikai Chen, Y. S. Hung, Sun-Yuan Kung:
A novel three-class ROC method for eQTL analysis. ICMLC 2010: 3056-3061 - [p1]Yu Hen Hu, Sun-Yuan Kung:
Systolic Arrays. Handbook of Signal Processing Systems 2010: 817-849
2000 – 2009
- 2009
- [j87]Tzuen Wuu Hsieh, Jin-Shiuh Taur, Chin-Wang Tao, Sun-Yuan Kung:
A kernel-based core growing clustering method. Int. J. Intell. Syst. 24(4): 441-458 (2009) - [j86]Yunnan Wu, Vladimir Stankovic, Zixiang Xiong, Sun-Yuan Kung:
On Practical Design for Joint Distributed Source and Network Coding. IEEE Trans. Inf. Theory 55(4): 1709-1720 (2009) - [j85]Lee Sing Cheong, Feng Lin, Hock Soon Seah, Kemao Qian, Feng Zhao, Patricia S. P. Thong, Khee Chee Soo, Malini Olivo, Sun-Yuan Kung:
Embedded Computing for Fluorescence Confocal Endomicroscopy Imaging. J. Signal Process. Syst. 55(1-3): 217-228 (2009) - [c109]Man-Wai Mak, Sun-Yuan Kung:
Conditional random fields for the prediction of signal peptide cleavage sites. ICASSP 2009: 1605-1608 - [c108]Feng Zhao, Feng Lin, Kemao Qian, Hock Soon Seah, Sun-Yuan Kung:
Feature-based registration of confocal fluorescence endomicroscopy images. ICIP 2009: 2517-2520 - [c107]Sun-Yuan Kung:
Kernel Approaches to Unsupervised and Supervised Machine Learning. PCM 2009: 1-32 - 2008
- [j84]Man-Wai Mak, Sun-Yuan Kung:
Fusion of feature selection methods for pairwise scoring SVM. Neurocomputing 71(16-18): 3104-3113 (2008) - [j83]Sun-Yuan Kung, Man-Wai Mak:
Feature Selection for Self-Supervised Classification With Applications to Microarray and Sequence Data. IEEE J. Sel. Top. Signal Process. 2(3): 297-309 (2008) - [j82]Man-Wai Mak, Jian Guo, Sun-Yuan Kung:
PairProSVM: Protein Subcellular Localization Based on Local Pairwise Profile Alignment and SVM. IEEE ACM Trans. Comput. Biol. Bioinform. 5(3): 416-422 (2008) - [j81]Yen-Kuang Chen, Sun-Yuan Kung:
Trend and Challenge on System-on-a-Chip Designs. J. Signal Process. Syst. 53(1-2): 217-229 (2008) - [c106]Man-Wai Mak, Sun-Yuan Kung:
Fusion of cleavage site detection and pairwise alignment for fast subcellular localization. ICASSP 2008: 573-576 - 2007
- [j80]Kwok-Kwong Yiu, Man-Wai Mak, Sun-Yuan Kung:
Environment adaptation for robust speaker verification by cascading maximum likelihood linear regression and reinforced learning. Comput. Speech Lang. 21(2): 231-246 (2007) - [j79]Man-Wai Mak, Kwok-Kwong Yiu, Sun-Yuan Kung:
Probabilistic feature-based transformation for speaker verification over telephone networks. Neurocomputing 71(1-3): 137-146 (2007) - [c105]Sun-Yuan Kung, Man-Wai Mak:
Feature Selection for Pairwise Scoring Kernels with Applications to Protein Subcellular Localization. ICASSP (2) 2007: 569-572 - 2006
- [j78]Sun-Yuan Kung, Man-Wai Mak, Ilias Tagkopoulos:
Symmetric and Asymmetric Multi-modality Biclustering Analysis for Microarray Data Matrix. J. Bioinform. Comput. Biol. 4(2): 275-298 (2006) - [j77]Yunnan Wu, Sun-Yuan Kung:
Distributed Utility Maximization for Network Coding Based Multicasting: A Shortest Path Approach. IEEE J. Sel. Areas Commun. 24(8): 1475-1488 (2006) - [j76]Ka-Yee Leung, Man-Wai Mak, Man-Hung Siu, Sun-Yuan Kung:
Adaptive articulatory feature-based conditional pronunciation modeling for speaker verification. Speech Commun. 48(1): 71-84 (2006) - [j75]Sun-Yuan Kung, Man-Wai Mak:
Machine learning for multimodality genomic signal processing. IEEE Signal Process. Mag. 23(3): 117-121 (2006) - [j74]Yunnan Wu, Kamal Jain, Sun-Yuan Kung:
A unification of network coding and tree-packing (routing) theorems. IEEE Trans. Inf. Theory 52(6): 2398-2409 (2006) - [j73]Kwok-Kwong Yiu, Man-Wai Mak, Ming-Cheung Cheung, Sun-Yuan Kung:
Blind Stochastic Feature Transformation for Channel Robust Speaker Verification. J. VLSI Signal Process. 42(2): 117-126 (2006) - [c104]Sun-Yuan Kung, Man-Wai Mak:
On Consistent Fusion of Multimodal Biometrics. ICASSP (5) 2006: 1085-1088 - [c103]Man-Wai Mak, Sun-Yuan Kung:
A Solution to the Curse of Dimensionality Problem in Pairwise Scoring Techniques. ICONIP (1) 2006: 314-323 - 2005
- [j72]Sun-Yuan Kung, Chad L. Myers, Xinying Zhang:
A recursive QR approach to adaptive equalization of time-varying MIMO channels. Commun. Inf. Syst. 5(2): 169-196 (2005) - [j71]Andreas F. Molisch, Geoffrey Ye Li, Yves-Paul Nakache, Philip V. Orlik, Makoto Miyake, Yunnan Wu, Sinan Gezici, Harry Sheng, Sun-Yuan Kung, Hisashi Kobayashi, H. Vincent Poor, Alexander M. Haimovich, Jinyun Zhang:
A Low-Cost Time-Hopping Impulse Radio System for High Data Rate Transmission. EURASIP J. Adv. Signal Process. 2005(3): 397-412 (2005) - [j70]Man-Wai Mak, Chin-Hung Sit, Sun-Yuan Kung:
Extraction of Speaker Features from Different Stages of DSR Front-Ends for Distributed Speaker Verification. Int. J. Speech Technol. 8(1): 67-77 (2005) - [j69]ChunHong Wu, Amar Aggoun, Malcolm McCormick, Sun-Yuan Kung:
Depth measurement from integral images through viewpoint image extraction and a modified multibaseline disparity analysis algorithm. J. Electronic Imaging 14(2): 023018 (2005) - [j68]Yunnan Wu, Philip A. Chou, Qian Zhang, Kamal Jain, Wenwu Zhu, Sun-Yuan Kung:
Network planning in wireless ad hoc networks: a cross-Layer approach. IEEE J. Sel. Areas Commun. 23(1): 136-150 (2005) - [j67]Yunnan Wu, Philip A. Chou, Sun-Yuan Kung:
Minimum-energy multicast in mobile ad hoc networks using network coding. IEEE Trans. Commun. 53(11): 1906-1918 (2005) - [j66]Xinying Zhang, Sun-Yuan Kung:
Capacity bound analysis for FIR Bézout equalizers in ISI MIMO channels. IEEE Trans. Signal Process. 53(6): 2193-2204 (2005) - [j65]Xinying Zhang, Andreas F. Molisch, Sun-Yuan Kung:
Variable-phase-shift-based RF-baseband codesign for MIMO antenna selection. IEEE Trans. Signal Process. 53(11): 4091-4103 (2005) - [c102]Ilias Tagkopoulos, Nikolai Slavov, Sun-Yuan Kung:
Multi-Class Biclustering and Classification Based on Modeling of Gene Regulatory Networks. BIBE 2005: 89-96 - [c101]Sun-Yuan Kung, Man-Wai Mak, Ilias Tagkopoulos:
Multi-Metric and Multi-Substructure Biclustering Analysis for Gene Expression Data. CSB 2005: 123-134 - [c100]Ka-Yee Leung, Man-Wai Mak, Man-Hung Siu, Sun-Yuan Kung:
Speaker Verification Using Adapted Articulatory Feature-based Conditional Pronunciation Modeling. ICASSP (1) 2005: 181-184 - [c99]Ming-Cheung Cheung, Man-Wai Mak, Sun-Yuan Kung:
A two-level fusion approach to multimodal biometric verification. ICASSP (5) 2005: 485-488 - [c98]Yunnan Wu, Sun-Yuan Kung:
Reduced-complexity network coding for multicasting over ad hoc networks. ICASSP (3) 2005: 501-504 - [c97]Yunnan Wu, Qian Zhang, Wenwu Zhu, Sun-Yuan Kung:
Bounding the power rate function of wireless ad hoc networks. INFOCOM 2005: 584-595 - [c96]Kwok-Kwong Yiu, Man-Wai Mak, Sun-Yuan Kung:
Channel robust speaker verification via Bayesian blind stochastic feature transformation. INTERSPEECH 2005: 2013-2016 - [c95]Ka-Yee Leung, Man-Wai Mak, Man-Hung Siu, Sun-Yuan Kung:
Speaker verification via articulatory feature-based conditional pronunciation modeling with vowel and consonant mixture models. INTERSPEECH 2005: 3089-3092 - [i1]Andreas F. Molisch, Ye (Geoffrey) Li, Yves-Paul Nakache, Philip V. Orlik, Makoto Miyake, Yunnan Wu, Sinan Gezici, Harry Sheng, Sun-Yuan Kung, Hisashi Kobayashi, H. Vincent Poor, Alexander M. Haimovich, Jinyun Zhang:
A low-cost time-hopping impulse radio system for high data rate transmission. CoRR abs/cs/0502053 (2005) - 2004
- [j64]Chad L. Myers, Maitreya J. Dunham, Sun-Yuan Kung, Olga G. Troyanskaya:
Accurate detection of aneuploidies in array CGH and gene expression microarray data. Bioinform. 20(18): 3533-3543 (2004) - [j63]Man-Wai Mak, Chi-Leung Tsang, Sun-Yuan Kung:
Stochastic Feature Transformation with Divergence-Based Out-of-Handset Rejection for Robust Speaker Verification. EURASIP J. Adv. Signal Process. 2004(4): 452-465 (2004) - [j62]Yunnan Wu, Sun-Yuan Kung:
Signal detection for MIMO-ISI channels: an iterative greedy improvement approach. IEEE Trans. Signal Process. 52(3): 703-720 (2004) - [j61]Scott C. Douglas, Shun-ichi Amari, Sun-Yuan Kung:
Gradient Adaptive Paraunitary Filter Banks for Spatio-Temporal Subspace Analysis and Multichannel Blind Deconvolution. J. VLSI Signal Process. 37(2-3): 247-261 (2004) - [c94]Ka-Yee Leung, Man-Wai Mak, Sun-Yuan Kung:
Applying articulatory features to telephone-based speaker verification. ICASSP (1) 2004: 85-88 - [c93]Sun-Yuan Kung, Chad L. Myers, Xinying Zhang:
A recursive QR approach to semi-blind equalization of time-varying MIMO channels. ICASSP (4) 2004: 437-440 - [c92]Xinying Zhang, Chad L. Myers, Sun-Yuan Kung:
Cross-weighted Fisher discriminant analysis for visualization of DNA microarray data. ICASSP (5) 2004: 589-592 - [c91]Ming-Cheung Cheung, Man-Wai Mak, Sun-Yuan Kung:
Multi-sample data-dependent fusion of sorted score sequences for biometric verification. ICASSP (5) 2004: 681-684 - [c90]Chin-Hung Sit, Man-Wai Mak, Sun-Yuan Kung:
Maximum Likelihood and Maximum a Posteriori Adaptation for Distributed Speaker Recognition Systems. ICBA 2004: 640-647 - [c89]Man-Wai Mak, Kwok-Kwong Yiu, Ming-Cheung Cheung, Sun-Yuan Kung:
A new approach to channel robust speaker verification via constrained stochastic feature transformation. INTERSPEECH 2004: 1753-1756 - [c88]Ming-Cheung Cheung, Kwok-Kwong Yiu, Man-Wai Mak, Sun-Yuan Kung:
Multi-sample fusion with constrained feature transformation for robust speaker verification. INTERSPEECH 2004: 1813-1816 - [c87]Ka-Yee Leung, Man-Wai Mak, Sun-Yuan Kung:
Articulatory feature-based conditional pronunciation modeling for speaker verification. INTERSPEECH 2004: 2597-2600 - [c86]Ka-Yee Leung, Man-Wai Mak, Man-Hung Siu, Sun-Yuan Kung:
Adaptive conditional pronunciation modeling using articulatory features for speaker verification. ISCSLP 2004: 61-64 - [c85]Yunnan Wu, Philip A. Chou, Sun-Yuan Kung:
Minimum-energy multicast in mobile ad hoc networks using network coding. ITW 2004: 304-309 - [c84]Jihui Zhang, Yunnan Wu, Qian Zhang, Bo Li, Wenwu Zhu, Sun-Yuan Kung:
Mobility assisted optimal routing in noninterfering mobile ad hoc networks. IWQoS 2004: 30-34 - 2003
- [j60]Xinying Zhang, Sun-Yuan Kung:
Capacity analysis for parallel and sequential MIMO equalizers. IEEE Trans. Signal Process. 51(11): 2989-3002 (2003) - [j59]Silvia Manolache Cirstea, Sun-Yuan Kung, Malcolm McCormick, Amar Aggoun:
3D-Object Space Reconstruction from Planar Recorded Data of 3D-Integral Images. J. VLSI Signal Process. 35(1): 5-18 (2003) - [j58]Zuyi Wang, Yue Joseph Wang, Jianping Lu, Sun-Yuan Kung, Junying Zhang, Richard Lee, Jianhua Xuan, Javed I. Khan, Robert Clarke:
Discriminatory Mining of Gene Expression Microarray Data. J. VLSI Signal Process. 35(3): 255-272 (2003) - [c83]Chi-Leung Tsang, Man-Wai Mak, Sun-Yuan Kung:
Cluster-Dependent Feature Transformation for Telephone-Based Speaker Verification. AVBPA 2003: 86-94 - [c82]Xinying Zhang, Sun-Yuan Kung:
Achievable capacity with sequential equalizers in Rayleigh fading MIMO channels. GLOBECOM 2003: 118-122 - [c81]Xinying Zhang, Andreas F. Molisch, Sun-Yuan Kung:
Phase-shift-based antenna selection for MIMO channels. GLOBECOM 2003: 1089-1093 - [c80]Yunnan Wu, Sun-Yuan Kung:
Detection for MIMO systems with imprecise channel knowledge. ICASSP (4) 2003: 5-8 - [c79]Xinying Zhang, Sun-Yuan Kung:
Capacity analysis for parallel and sequential MIMO equalizers. ICASSP (4) 2003: 357-360 - [c78]Scott C. Douglas, Sun-Yuan Kung:
A nonlinear recursive least-squares algorithm for the blind separation of finite-alphabet sources. ICASSP (2) 2003: 729-732 - [c77]Man-Wai Mak, Ming-Cheung Cheung, Sun-Yuan Kung:
Robust speaker verification from GSM-transcoded speech based on decision fusion and feature transformation. ICASSP (2) 2003: 745-748 - [c76]Zuyi Wang, Sun-Yuan Kung, Junying Zhang, Javed I. Khan, Jianhua Xuan, Yue Joseph Wang:
Computational intelligence approach for gene expression data mining and classification. ICME 2003: 449-452 - [c75]Yunnan Wu, Sun-Yuan Kung:
Detection for MIMO systems with imprecise channel knowledge. ICME 2003: 601-604 - [c74]Xinying Zhang, Sun-Yuan Kung:
Capacity analysis for parallel and sequential MIMO equalizers. ICME 2003: 605-608 - [c73]Eric W. M. Yu, Man-Wai Mak, Chin-Hung Sit, Sun-Yuan Kung:
Speaker verification based on g.729 and g.723.1 coder parameters and handset mismatch compensation. INTERSPEECH 2003: 1681-1684 - [c72]Ming-Cheung Cheung, Man-Wai Mak, Sun-Yuan Kung:
Adaptive decision fusion for multi-sample speaker verification over GSM networks. INTERSPEECH 2003: 2969-2972 - [c71]Kwok-Kwong Yiu, Man-Wai Mak, Sun-Yuan Kung:
Environment adaptation for robust speaker verification. INTERSPEECH 2003: 2973-2976 - [c70]Yunnan Wu, Andreas F. Molisch, Sun-Yuan Kung, Jinyun Zhang:
Impulse radio pulse shaping for ultra-wide bandwidth (UWB) systems. PIMRC 2003: 877-881 - [c69]Andreas F. Molisch, Xinying Zhang, Sun-Yuan Kung, Jinyun Zhang:
DFT-based hybrid antenna selection schemes for spatially correlated MIMO channels. PIMRC 2003: 1119-1123 - 2002
- [j57]Kwok-Kwong Yiu, Man-Wai Mak, Sun-Yuan Kung:
A Comparative Study on Kernel-Based Probabilistic Neural Networks for Speaker Verification. Int. J. Neural Syst. 12(5): 381-397 (2002) - [j56]Sun-Yuan Kung, Yunnan Wu, Xinying Zhang:
Bezout space-time precoders and equalizers for MIMO channels. IEEE Trans. Signal Process. 50(10): 2499-2514 (2002) - [j55]Xinying Zhang, Sun-Yuan Kung:
COD: Diversity-Adaptive Subspace Processing for Multipath Separation and Signal Recovery. J. VLSI Signal Process. 30(1-3): 235-256 (2002) - [c68]Man-Wai Mak, Sun-Yuan Kung:
Combining stochastic feature transformation and handset identification for telephone-based speaker verification. ICASSP 2002: 701-704 - [c67]Sun-Yuan Kung, Yunnan Wu, Xinying Zhang:
Bezout equalization for STBC-MIMO systems. ICASSP 2002: 2437-2440 - [c66]Yunnan Wu, Qian Zhang, Wenwu Zhu, Sun-Yuan Kung:
Spreading code assignment in an ad hoc DS-CDMA wireless network. ICC 2002: 3066-3070 - [c65]Chi-Leung Tsang, Man-Wai Mak, Sun-Yuan Kung:
Divergence-based out-of-class rejection for telephone handset identification. INTERSPEECH 2002: 2329-2332 - [c64]Kwok-Kwong Yiu, Man-Wai Mak, Sun-Yuan Kung:
Kernel-Based Probabilistic Neural Networks with Integrated Scoring Normalization for Speaker Verification. IEEE Pacific Rim Conference on Multimedia 2002: 623-630 - 2001
- [j54]Min Wu, Robert A. Joyce, Hau-San Wong, Ling Guan, Sun-Yuan Kung:
Dynamic resource allocation via video content and short-term traffic statistics. IEEE Trans. Multim. 3(2): 186-199 (2001) - [j53]I-Jong Lin, Sun-Yuan Kung:
Extraction of Video Objects via Surface Optimization and Voronoi Order. J. VLSI Signal Process. 29(1-2): 23-39 (2001) - [c63]Silvia Manolache Cirstea, Malcolm McCormick, Sun-Yuan Kung:
Hierarchical adaptive regularisation method for depth extraction from planar recording of 3D-integral images. ICASSP 2001: 1433-1436 - [c62]Xinying Zhang, Sun-Yuan Kung:
COD: blind path separation with limited antenna size. ICASSP 2001: 2945-2948 - [c61]Yunnan Wu, Anthony Vetro, Huifang Sun, Sun-Yuan Kung:
Intelligent Multi-hop Video Communications. IEEE Pacific Rim Conference on Multimedia 2001: 716-723 - [c60]Kwok-Kwong Yiu, Man-Wai Mak, Sun-Yuan Kung:
A GMM-Based Handset Selector for Channel Mismatch Compensation with Applications to Speaker Identification. IEEE Pacific Rim Conference on Multimedia 2001: 1132-1137 - 2000
- [j52]Yue Joseph Wang, Lan Luo, Matthew T. Freedman, Sun-Yuan Kung:
Probabilistic principal component subspaces: a hierarchical finite mixture model for data visualization. IEEE Trans. Neural Networks Learn. Syst. 11(3): 625-636 (2000) - [j51]Man-Wai Mak, Sun-Yuan Kung:
Estimation of elliptical basis function parameters by the EM algorithm with application to speaker verification. IEEE Trans. Neural Networks Learn. Syst. 11(4): 961-969 (2000) - [j50]Scott C. Douglas, Shun-ichi Amari, Sun-Yuan Kung:
On gradient adaptation with unit-norm constraints. IEEE Trans. Signal Process. 48(6): 1843-1847 (2000) - [j49]Scott C. Douglas, Sun-Yuan Kung:
Gradient Adaptive Algorithms for Contrast-Based Blind Deconvolution. J. VLSI Signal Process. 26(1-2): 47-60 (2000) - [c59]Min Wu, Robert A. Joyce, Sun-Yuan Kung:
Dynamic Resource Allocation via Video Content and Short-Term Traffic Statistics. ICIP 2000: 58-61 - [c58]I-Jong Lin, Ajay Divakaran, Anthony Vetro, Sun-Yuan Kung:
Efficient Representation and Comparison of Multimedia Content using DAG-Composition. IEEE International Conference on Multimedia and Expo (II) 2000: 895-898
1990 – 1999
- 1999
- [j48]Sun-Yuan Kung, Jin-Shiuh Taur, Shang-Hung Lin:
Synergistic modeling and applications of hierarchical fuzzy neural networks. Proc. IEEE 87(9): 1550-1574 (1999) - [j47]John C.-H. Ju, Yen-Kuang Chen, Sun-Yuan Kung:
A fast rate-optimized motion estimation algorithm for low-bit-rate video coding. IEEE Trans. Circuits Syst. Video Technol. 9(7): 994-1002 (1999) - [c57]Scott C. Douglas, Shun-ichi Amari, Sun-Yuan Kung:
Adaptive paraunitary filter banks for principal and minor subspace analysis. ICASSP 1999: 1089-1092 - [c56]Yue Joseph Wang, Lan Luo, Matthew T. Freedman, Sun-Yuan Kung:
Hierarchical probabilistic principal component subspaces for data visualization. IJCNN 1999: 2498-2503 - [c55]Toyokazu Hori, Shinichiro Wada, Howzan Tai, Sun-Yuan Kung:
Automatic music score recognition/play system based on decision based neural network. MMSP 1999: 183-184 - [c54]I-Jong Lin, Sun-Yuan Kung:
Automatic video object segmentation via Voronoi ordering and surface optimization. MMSP 1999: 265-270 - [c53]Sun-Yuan Kung, I-Jong Lin:
Intelligent multimedia signal processing: technology, application, and challenge. MMSP 1999: 629-640 - 1998
- [j46]Ling Guan, Sun-Yuan Kung, David B. Fogel:
Guest Editorial: Special Section on Computational Intelligence in Image Processing. J. Electronic Imaging 7(1): 6-7 (1998) - [j45]Sun-Yuan Kung, Jenq-Neng Hwang:
Neural networks for intelligent multimedia processing. Proc. IEEE 86(6): 1244-1272 (1998) - [j44]Scott C. Douglas, Sun-Yuan Kung, Shun-ichi Amari:
A self-stabilized minor subspace rule. IEEE Signal Process. Lett. 5(12): 328-330 (1998) - [j43]Rama Chellappa, Kunihiko Fukushima, Aggelos K. Katsaggelos, Sun-Yuan Kung, Yann LeCun, Nasser M. Nasrabadi, Tomaso A. Poggio:
Guest Editorial Applications Of Artificial Neural Networks To Image Processing. IEEE Trans. Image Process. 7(8): 1093-1096 (1998) - [j42]Yue Joseph Wang, Tülay Adali, Sun-Yuan Kung, Zsolt Szabo:
Quantification and segmentation of brain tissues from MR images: a probabilistic neural network approach. IEEE Trans. Image Process. 7(8): 1165-1181 (1998) - [j41]Yue Joseph Wang, Shang-Hung Lin, Huai Li, Sun-Yuan Kung:
Data mapping by probabilistic modular networks and information-theoretic criteria. IEEE Trans. Signal Process. 46(12): 3378-3397 (1998) - [j40]Mary Jane Irwin, Sun-Yuan Kung, Earl E. Swartzlander Jr.:
Editorial Message. J. VLSI Signal Process. 18(1): 7-8 (1998) - [j39]Yue Joseph Wang, Tülay Adali, Chi-Ming Lau, Sun-Yuan Kung:
Quantitative Analysis of MR Brain Image Sequences by Adaptive Self-Organizing Finite Mixtures. J. VLSI Signal Process. 18(3): 219-239 (1998) - [j38]Yen-Kuang Chen, Sun-Yuan Kung:
A Systolic Design Methodology with Application to Full-Search Block-Matching Architectures. J. VLSI Signal Process. 19(1): 51-77 (1998) - [j37]Yen-Kuang Chen, Sun-Yuan Kung:
Multimedia Signal Processors: An Architectural Platform with Algorithmic Compilation. J. VLSI Signal Process. 20(1-2): 181-204 (1998) - [c52]I-Jong Lin, Sun-Yuan Kung:
A novel learning method by structural reduction of DAGs for on-line OCR applications. ICASSP 1998: 1069-1072 - [c51]Sun-Yuan Kung, Cristina Mejuto:
Extraction of independent components from hybrid mixture: KuicNet learning algorithm and applications. ICASSP 1998: 1209-1212 - [c50]I-Jong Lin, Sun-Yuan Kung:
Circular Viterbi based adaptive system for automatic video object segmentation. MMSP 1998: 541-546 - [c49]Yen-Kuang Chen, Anthony Vetro, Huifang Sun, Sun-Yuan Kung:
Frame-rate up-conversion using transmitted true motion vectors. MMSP 1998: 622-627 - 1997
- [j36]Sun-Yuan Kung, Jenq-Neng Hwang:
Neural networks for intelligent multimedia processing. IEEE Signal Process. Mag. 14(4): 44-45 (1997) - [j35]Peter Pirsch, Hans-Joachim Stolberg, Yan-Kuang Chen, Sun-Yuan Kung:
Implementation of media processors. IEEE Signal Process. Mag. 14(4): 48-51 (1997) - [j34]Jenq-Neng Hwang, Sun-Yuan Kung, Mahesan Niranjan, José C. Príncipe:
The past, present, and future of neural networks for signal processing. IEEE Signal Process. Mag. 14(6): 28-48 (1997) - [j33]Ling Guan, Sun-Yuan Kung:
Model-based Neural Networks for Image Processing. IEEE Signal Process. Mag. 14(6): 35-36 (1997) - [j32]Shang-Hung Lin, Sun-Yuan Kung, Long-Ji Lin:
Face recognition/detection by probabilistic decision-based neural network. IEEE Trans. Neural Networks 8(1): 114-132 (1997) - [j31]Anthony G. Constantinides, Simon Haykin, Yu Hen Hu, Jenq-Neng Hwang, Shigeru Katagiri, Sun-Yuan Kung, Tomaso A. Poggio:
Guest Editors' Introduction: Neural Networks For Signal Processing. IEEE Trans. Signal Process. 45(11): 2637-2638 (1997) - [j30]I-Jong Lin, Sun-Yuan Kung:
Coding and comparison of DAG's as a novel neural structure with applications to on-line handwriting recognition. IEEE Trans. Signal Process. 45(11): 2701-2708 (1997) - [j29]Tsung-Nan Lin, C. Lee Giles, Bill G. Horne, Sun-Yuan Kung:
A delay damage model selection algorithm for NARX neural networks. IEEE Trans. Signal Process. 45(11): 2719-2730 (1997) - [j28]Konstantinos I. Diamantaras, Sun-Yuan Kung:
A Linear Systolic Array for Real-Time Morphological Image Processing. J. VLSI Signal Process. 17(1): 43-55 (1997) - [j27]Yun-Ting Lin, Yen-Kuang Chen, Sun-Yuan Kung:
A Principal Component Clustering Approach to Object-Oriented Motion Segmentation and Estimation. J. VLSI Signal Process. 17(2-3): 163-187 (1997) - [c48]Yen-Kuang Chen, Sun-Yuan Kung:
An Operation Placement and Scheduling Scheme for Cache and Communication Localities in Fine-Grain Parallel Architectures. ISPAN 1997: 390-396 - [c47]Yen-Kuang Chen, Sun-Yuan Kung:
Rate optimization by true motion estimation. MMSP 1997: 187-194 - [c46]Sun-Yuan Kung, Yen-Kuang Chen:
On architectural styles for multimedia signal processors. MMSP 1997: 427-432 - [c45]Yin Chan, Sun-Yuan Kung:
A hierarchical algorithm for image retrieval by sketch. MMSP 1997: 564-569 - [c44]I-Jong Lin, Sun-Yuan Kung:
A recursively structured solution for handwriting and speech recognition. MMSP 1997: 587-592 - [e1]Yao Wang, Amy R. Reibman, Biing-Hwang Juang, Tsuhan Chen, Sun-Yuan Kung:
First IEEE Workshop on Multimedia Signal Processing, MMSP 1997, Princeton, New Jersey, USA, June 23-25, 1997. IEEE 1997, ISBN 0-7803-3780-8 [contents] - 1996
- [j26]Konstantinos I. Diamantaras, W. H. Chou, Sun-Yuan Kung:
Dynamic programming implementation on array processor architectures. J. VLSI Signal Process. 13(1): 27-35 (1996) - [c43]Sun-Yuan Kung, Yun-Ting Lin, Yen-Kuang Chen:
Motion-based segmentation by principal singular vector (PSV) clustering method. ICASSP 1996: 3410-3413 - [c42]Shang-Hung Lin, Yin Chan, Sun-Yuan Kung:
A probabilistic decision-based neural network for locating deformable objects and its applications to surveillance system and video browsing. ICASSP 1996: 3553-3556 - [c41]Yen-Kuang Chen, Yun-Ting Lin, Sun-Yuan Kung:
A feature tracking algorithm using neighborhood relaxation with multi-candidate pre-screening. ICIP (2) 1996: 513-516 - [c40]Yin Chan, Shang-Hung Lin, Yap-Peng Tan, Sun-Yuan Kung:
Video shot classification using human faces. ICIP (3) 1996: 843-846 - [c39]Yun-Ting Lin, Yen-Kuang Chen, Sun-Yuan Kung:
Object-based scene segmentation combining motion and image cues. ICIP (1) 1996: 957-960 - 1995
- [j25]Sun-Yuan Kung, Jin-Shiuh Taur:
Decision-based neural networks with signal/image classification applications. IEEE Trans. Neural Networks 6(1): 170-181 (1995) - [j24]Giuseppe Caire, Javier Ventura-Traveset, J. Murphy, Sun-Yuan Kung:
Parallel and pipelined VLSI implementation of a staged decoder for BCM signals. J. VLSI Signal Process. 11(3): 195-211 (1995) - [c38]Yin Chan, Sun-Yuan Kung:
Bit Level Block Matching Systolic Arrays. ASAP 1995: 214- - [c37]Shang-Hung Lin, Sun-Yuan Kung:
Probabilistic DBNN via expectation-maximization with multi-sensor classification applications. ICIP (3) 1995: 236-239 - [c36]Yin Chan, Sun-Yuan Kung:
Multi-level pixel difference classification methods. ICIP (3) 1995: 252-255 - [c35]Sun-Yuan Kung, M. Fang, S. P. Liou, M. Y. Chiu, Jin-Shiuh Taur:
Decision-based neural network for face recognition system. ICIP 1995: 430-433 - 1994
- [j23]Konstantinos I. Diamantaras, Sun-Yuan Kung:
Multilayer neural networks for reduced-rank approximation. IEEE Trans. Neural Networks 5(5): 684-697 (1994) - [j22]Sun-Yuan Kung, Konstantinos I. Diamantaras, Jin-Shiuh Taur:
Adaptive Principal component EXtraction (APEX) and applications. IEEE Trans. Signal Process. 42(5): 1202-1217 (1994) - [j21]Konstantinos I. Diamantaras, Sun-Yuan Kung:
Cross-correlation neural network models. IEEE Trans. Signal Process. 42(11): 3218-3223 (1994) - [c34]W. H. Chou, Sun-Yuan Kung:
Register transfer modeling and simulation for array processors. ASAP 1994: 111-122 - [c33]Sun-Yuan Kung, Jin-Shiuh Taur, M. Y. Chiu:
An SVD Approach to Multi-Camera-Multi-Target 3-D Motion-Shape Analysis. ICIP (1) 1994: 573-577 - 1993
- [b1]Sun-Yuan Kung:
Digital neural networks. Prentice Hall Information and System Sciences Series, Prentice Hall 1993, ISBN 978-0-13-612326-2, pp. I-XVIII, 1-444 - [j20]Karl-Heinz Zimmermann, Tien-Chien Lee, Sun-Yuan Kung:
On partitioning and fault tolerance issues for neural array processors. J. VLSI Signal Process. 6(1): 85-94 (1993) - [c32]W. H. Chou, Sun-Yuan Kung:
Scheduling partitioned algorithms on processor arrays with limited communication supports. ASAP 1993: 53-64 - [c31]Shang-Hung Lin, Sun-Yuan Kung:
Volume rendering by wavefront architecture. ASAP 1993: 214-225 - [c30]Jin-Shiuh Taur, Sun-Yuan Kung:
Fuzzy-decision neural networks. ICASSP (1) 1993: 577-580 - [c29]Jin-Shiuh Taur, Sun-Yuan Kung:
Prediction-based networks with ECG application. ICNN 1993: 1920-1925 - 1992
- [j19]John A. Vlontzos, Sun-Yuan Kung:
Hidden Markov models for character recognition. IEEE Trans. Image Process. 1(4): 539-543 (1992) - 1991
- [j18]Paul S. Lewis, Sun-Yuan Kung:
An Optimal Systolic Array for the Algebraic Path Problem. IEEE Trans. Computers 40(1): 100-105 (1991) - [j17]Sun-Yuan Kung, Jenq-Neng Hwang:
Systolic array designs for Kalman filtering. IEEE Trans. Signal Process. 39(1): 171-182 (1991) - [j16]Sun-Yuan Kung:
Editorial. J. VLSI Signal Process. 3(3): 147 (1991) - [c28]Kostas I. Diamantaras, Sun-Yuan Kung:
An unsupervised neural model for oriented principal component extraction. ICASSP 1991: 1049-1052 - [c27]Jin-Shiuh Taur, Sun-Yuan Kung:
Comparison of several learning subspace methods for classification. ICASSP 1991: 1069-1072 - [c26]Sun-Yuan Kung, W. D. Mao:
Competition-based supervised learning algorithm for nonlinear discriminant functions. ICASSP 1991: 1073-1076 - 1990
- [j15]John V. McCanny, John G. McWhirter, Sun-Yuan Kung:
The use of data dependence graphs in the design of bit-level systolic arrays. IEEE Trans. Acoust. Speech Signal Process. 38(5): 787-793 (1990) - [c25]Sun-Yuan Kung, Kostas I. Diamantaras:
A neural network learning algorithm for adaptive principal component extraction (APEX). ICASSP 1990: 861-864 - [c24]W. D. Mao, Sun-Yuan Kung:
An object recognition system using stochastic knowledge source and VLSI parallel architecture. ICPR (1) 1990: 832-836 - [c23]Sun-Yuan Kung, John A. Vlontzos:
Special purpose array processor implementation of neural networks. TAI 1990: 130-137 - [c22]Sun-Yuan Kung:
Orthogonal learning network for constrained principal component problem. IJCNN 1990: 441-449
1980 – 1989
- 1989
- [j14]Sun-Yuan Kung, Jenq-Neng Hwang:
A Unified Systolic Architecture for Artificial Neural Networks. J. Parallel Distributed Comput. 6(2): 358-387 (1989) - [j13]Sun-Yuan Kung, Shiann-Ning Jean, Chih-Wei Jim Chang:
Fault-Tolerant Array Processors Using Single-Track Switches. IEEE Trans. Computers 38(4): 501-514 (1989) - [j12]Jenq-Neng Hwang, John A. Vlontzos, Sun-Yuan Kung:
A systolic neural network architecture for hidden Markov models. IEEE Trans. Acoust. Speech Signal Process. 37(12): 1967-1979 (1989) - [j11]José A. B. Fortes, Sun-Yuan Kung:
Introduction. J. VLSI Signal Process. 1(2): 93-94 (1989) - [j10]Jenq-Neng Hwang, Sun-Yuan Kung:
Parallel algorithms/architectures for neural networks. J. VLSI Signal Process. 1(3): 6 (1989) - [c21]John A. Vlontzos, Sun-Yuan Kung:
Hidden Markov models for character recognition. ICASSP 1989: 1719-1722 - [c20]Sun-Yuan Kung, Jenq-Neng Hwang:
A unifying algorithm/architecture for artificial neural networks. ICASSP 1989: 2505-2508 - 1988
- [j9]Sun-Yuan Kung, Jenq-Neng Hwang:
Ring systolic designs for artificial neural nets. Neural Networks 1(Supplement-1): 390 (1988) - [j8]Sun-Yuan Kung, Jenq-Neng Hwang:
An algebraic projection analysis for back-propagation learning. Neural Networks 1(Supplement-1): 547-549 (1988) - [c19]Elias S. Manolakos, Sun-Yuan Kung:
CORP-a new recovery procedure for VLSI processor arrays. CBMS 1988: 91-95 - [c18]Sun-Yuan Kung, Jenq-Neng Hwang:
An efficient triarray systolic design for real-time Kalman filtering. ICASSP 1988: 2041-2044 - [c17]Sun-Yuan Kung, Jenq-Neng Hwang, S. W. Sun:
Efficient modeling for multilayer feed-forward neural nets. ICASSP 1988: 2160-2163 - [c16]Sun-Yuan Kung, Jenq-Neng Hwang:
Parallel architectures for artificial neural nets. ICNN 1988: 165-172 - [c15]Sun-Yuan Kung, Jenq-Neng Hwang:
An algebraic projection analysis for optimal hidden units size and learning rates in back-propagation learning. ICNN 1988: 363-370 - [c14]John A. Vlontzos, Sun-Yuan Kung:
A hierarchical system for character recognition with stochastic knowledge representation. ICNN 1988: 601-608 - [c13]Shiann-Ning Jean, Chih-Wei Jim Chang, Sun-Yuan Kung:
Graceful Degradation Schemes for Static/Dynamic Wavefront Arrays. ICPP (1) 1988: 249-255 - 1987
- [j7]Sun-Yuan Kung, Sheng-Chun Lo, Shiann-Ning Jean, Jenq-Neng Hwang:
Wavefront Array Processors-Concept to Implementation. Computer 20(7): 18-33 (1987) - [j6]Sun-Yuan Kung, Paul S. Lewis, Sheng-Chun Lo:
Performance Analysis and Optimization of VLSI Dataflow Arrays. J. Parallel Distributed Comput. 4(6): 592-618 (1987) - [j5]Sun-Yuan Kung, Sheng-Chun Lo, Paul S. Lewis:
Optimal Systolic Design for the Transitive Closure and the Shortest Path Problems. IEEE Trans. Computers 36(5): 603-614 (1987) - [c12]Sun-Yuan Kung, Shiann-Ning Jean, Sheng-Chun Lo:
Matching algorithms to array processors. FJCC 1987: 357-365 - [c11]John A. Vlontzos, Sun-Yuan Kung:
A Wavefront Array Processor Using Dataflow Processing Elements. ICS 1987: 744-767 - 1986
- [c10]Sun-Yuan Kung, C. K. Lo, R. Foka:
A Toeplitz approximation approach to coherent source direction finding. ICASSP 1986: 193-196 - [c9]Sun-Yuan Kung:
On VLSI array architectures for digital image processing. ICASSP 1986: 3113-3126 - [c8]Sun-Yuan Kung, Sheng-Chun Lo, Paul S. Lewis:
Timing Analysis and Design Optimization of VLSI Data Flow Arrays. ICPP 1986: 600-607 - [c7]Sun-Yuan Kung, Chih-Wei Jim Chang, Chein-Wei Jen:
Real-Time Configuration for Fault-Tolerant VLSI Array Processors. RTSS 1986: 46-54 - 1985
- [j4]Yu Hen Hu, Sun-Yuan Kung:
Toeplitz eigensystem solver. IEEE Trans. Acoust. Speech Signal Process. 33(5): 1264-1271 (1985) - [c6]Sun-Yuan Kung, Jurgen Annevelink, Patrick M. Dewilde, S. C. Lo:
Hierarchical flowgraph integration for VLSI array processors. ICASSP 1985: 288-291 - 1984
- [j3]Armin B. Cremers, Sun-Yuan Kung:
On programming VLSI concurrent array processors. Integr. 2(1): 15-26 (1984) - [c5]D. V. Bhaskar Rao, Sun-Yuan Kung:
A state space approach for the 2-D harmonic retrieval problem. ICASSP 1984: 174-176 - [c4]Sun-Yuan Kung:
An algorithm basis for systolic/Wavefront array software. ICASSP 1984: 335-338 - 1983
- [j2]Sun-Yuan Kung, Jurgen Annevelink:
VLSI design for massively parallel signal processors. Microprocess. Microsystems 7(10): 461-468 (1983) - [c3]Yu Hen Hu, Sun-Yuan Kung:
Highly concurrent Toeplitz eigen-system solver for high resolution spectral estimation. ICASSP 1983: 1422-1425 - 1982
- [j1]Sun-Yuan Kung, K. S. Arun, Ron J. Gal-Ezer, D. V. Bhaskar Rao:
Wavefront Array Processor: Language, Architecture, and Applications. IEEE Trans. Computers 31(11): 1054-1066 (1982) - [c2]Sun-Yuan Kung, D. V. Bhaskar Rao:
Analysis and implementation of the adaptive notch filter for frequency estimation. ICASSP 1982: 663-666 - 1981
- [c1]Sun-Yuan Kung, D. V. Bhaskar Rao:
Highly parallel architectures for solving linear equations. ICASSP 1981: 39-42
Coauthor Index
Konstantinos I. Diamantaras
aka: Kostas I. Diamantaras
aka: Kostas I. Diamantaras
[j108] [j105] [i3] [j101] [j100] [c130] [c126] [c124] [j92] [c119] [c117] [j90] [c113] [j88] [c112] [c111] [c109] [j84] [j83] [j82] [c106] [j80] [j79] [c105] [j78] [j76] [j75] [j73] [c104] [c103] [j70] [c101] [c100] [c99] [c96] [c95] [j63] [c94] [c91] [c90] [c89] [c88] [c87] [c86] [c83] [c77] [c73] [c72] [c71] [j57] [c68] [c65] [c64] [c60] [j51]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-01 00:17 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
