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ORCIDSun-Yuan Kung
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- affiliation: Princeton University, USA
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Books and Theses
- 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
Journal Articles
- 2024
- [j145]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) - [j144]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) - [j143]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) - [j142]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) - [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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 1993
- [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) - 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) - 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) - 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) - 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) - 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) - 1985
- [j4]Yu Hen Hu, Sun-Yuan Kung:
Toeplitz eigensystem solver. IEEE Trans. Acoust. Speech Signal Process. 33(5): 1264-1271 (1985) - 1984
- [j3]Armin B. Cremers, Sun-Yuan Kung:
On programming VLSI concurrent array processors. Integr. 2(1): 15-26 (1984) - 1983
- [j2]Sun-Yuan Kung, Jurgen Annevelink:
VLSI design for massively parallel signal processors. Microprocess. Microsystems 7(10): 461-468 (1983) - 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)
Conference and Workshop Papers
- 2024
- [c168]Zhihui Lv, Jihe Wang, Sun-Yuan Kung:
Message from the General Chairs; IEEE CSCloud/EdgeCom 2024. CSCloud 2024: xi - 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 - 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 - 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 - 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 - 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 - 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 - 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
- [c133]Sun-Yuan Kung:
Visualization of big data. ICCI*CC 2015: 447-448 - 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
- [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 - 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
- [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
- [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 - 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
- [c106]Man-Wai Mak, Sun-Yuan Kung:
Fusion of cleavage site detection and pairwise alignment for fast subcellular localization. ICASSP 2008: 573-576 - 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
- [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
- [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 - 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
- [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
- [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
- [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
- [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 - 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
- [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
- [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 - 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
- [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
- [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
- [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 - 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
- [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 - 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
- [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
- [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
- [c6]Sun-Yuan Kung, Jurgen Annevelink, Patrick M. Dewilde, S. C. Lo:
Hierarchical flowgraph integration for VLSI array processors. ICASSP 1985: 288-291 - 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
- [c3]Yu Hen Hu, Sun-Yuan Kung:
Highly concurrent Toeplitz eigen-system solver for high resolution spectral estimation. ICASSP 1983: 1422-1425 - 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
Parts in Books or Collections
- 2013
- [p2]Yu Hen Hu, Sun-Yuan Kung:
Systolic Arrays. Handbook of Signal Processing Systems 2013: 1111-1143 - 2010
- [p1]Yu Hen Hu, Sun-Yuan Kung:
Systolic Arrays. Handbook of Signal Processing Systems 2010: 817-849
Editorship
- 2021
- [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] - 1997
- [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]
Informal and Other Publications
- 2022
- [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
- [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
- [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) - 2019
- [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
- [i6]Mert Al, Thee Chanyaswad, Sun-Yuan Kung:
Supervising Nyström Methods via Negative Margin Support Vector Selection. CoRR abs/1805.04018 (2018) - 2017
- [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) - 2015
- [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) - 2005
- [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)
Coauthor Index
Konstantinos I. Diamantaras
aka: Kostas I. Diamantaras
aka: Kostas I. Diamantaras
[j108] [j105] [j101] [j100] [j92] [j90] [j88] [j84] [j83] [j82] [j80] [j79] [j78] [j76] [j75] [j73] [j70] [j63] [j57] [j51] [c130] [c126] [c124] [c119] [c117] [c113] [c112] [c111] [c109] [c106] [c105] [c104] [c103] [c101] [c100] [c99] [c96] [c95] [c94] [c91] [c90] [c89] [c88] [c87] [c86] [c83] [c77] [c73] [c72] [c71] [c68] [c65] [c64] [c60] [i3]
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