Sun-Yuan Kung

ORCID

Publication Activity (10 Years)

Years Active: 1981-2024
Publications (10 Years): 105

Top Venues

CoRR

ICASSP

ICPR

IEEE Trans. Neural Networks Learn. Syst.

Publications

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 (2024)
Mert Al, Semih Yagli, Sun-Yuan Kung
Privacy Enhancing Machine Learning via Removal of Unwanted Dependencies. IEEE Trans. Neural Networks Learn. Syst. 34 (6) (2023)
Yuan Zhou, Xiangrui Li, Keran Chen, Sun-Yuan Kung
Progressive Learning for Unsupervised Change Detection on Aerial Images. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
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 (2023)
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 (2023)
Zejiang Hou, Sun-Yuan Kung
Semi-Supervised Few-Shot Learning Via Dependency Maximization and Instance Discriminant Analysis. J. Signal Process. Syst. 95 (1) (2023)
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 (2023)
Yuan Zhou, Xukai Xie, Sun-Yuan Kung
Exploiting Operation Importance for Differentiable Neural Architecture Search. IEEE Trans. Neural Networks Learn. Syst. 33 (11) (2022)
Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Richard Zhang, Sun-Yuan Kung
3D-FM GAN: Towards 3D-Controllable Face Manipulation. ECCV (15) (2022)
Zejiang Hou, Sun-Yuan Kung
Multi-Dimensional Vision Transformer Compression via Dependency Guided Gaussian Process Search. CVPR Workshops (2022)
Zejiang Hou, Sun-Yuan Kung
Multi-Dimensional Model Compression of Vision Transformer. CoRR (2022)
Zejiang Hou, Sun-Yuan Kung
Multi-Dimensional Dynamic Model Compression for Efficient Image Super-Resolution. WACV (2022)
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) (2022)
Zejiang Hou, Fei Sun, Yen-Kuang Chen, Yuan Xie, Sun-Yuan Kung
MILAN: Masked Image Pretraining on Language Assisted Representation. CoRR (2022)
Zejiang Hou, Sun-Yuan Kung
Semi-Supervised Few-Shot Learning from A Dependency-Discriminant Perspective. CVPR Workshops (2022)
Zejiang Hou, Sun-Yuan Kung
Multi-Dimensional Model Compression of Vision Transformer. ICME (2022)
Yuchen Liu, David Wentzlaff, Sun-Yuan Kung
Class-Discriminative CNN Compression. ICPR (2022)
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 (2022)
Yuchen Liu, Sun-Yuan Kung, David Wentzlaff
Evolving transferable neural pruning functions. GECCO (2022)
Sun-Yuan Kung
XNAS: A Regressive/Progressive NAS for Deep Learning. ACM Trans. Sens. Networks 18 (4) (2022)
Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Richard Zhang, Sun-Yuan Kung
3D-FM GAN: Towards 3D-Controllable Face Manipulation. CoRR (2022)
Yogendra Rao Musunuri, Oh-Seol Kwon, Sun-Yuan Kung
SRODNet: Object Detection Network Based on Super Resolution for Autonomous Vehicles. Remote. Sens. 14 (24) (2022)
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)
Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Federico Perazzi, Sun-Yuan Kung
Content-Aware GAN Compression. CoRR (2021)
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 (2021)
Zejiang Hou, Sun-Yuan Kung
Parameter Efficient Dynamic Convolution via Tensor Decomposition. BMVC (2021)
Yuchen Liu, David Wentzlaff, Sun-Yuan Kung
Class-Discriminative CNN Compression. CoRR (2021)
Yuan Zhou, Dandan Li, Shuwei Huo, Sun-Yuan Kung
Shape autotuning activation function. Expert Syst. Appl. 171 (2021)
Zejiang Hou, Sun-Yuan Kung
Few-shot Learning via Dependency Maximization and Instance Discriminant Analysis. CoRR (2021)
Zejiang Hou, Sun-Yuan Kung
Few-Shot Learning Via Dependency Maximization and Instance Discriminant Analysis. MLSP (2021)
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) (2021)
Yuan Zhou, Ruolin Wang, Hongru Li, Sun-Yuan Kung
Temporal Action Localization Using Long Short-Term Dependency. IEEE Trans. Multim. 23 (2021)
Yuan Zhou, Yeda Zhang, Xukai Xie, Sun-Yuan Kung
Image super-resolution based on dense convolutional auto-encoder blocks. Neurocomputing 423 (2021)
Meikang Qiu, Sun-Yuan Kung
Guest editorial: Special issue on next generation AI approaches for intelligent internet of things. J. Syst. Archit. 114 (2021)
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) (2021)
Zejiang Hou, Anwar Walid, Sun-Yuan Kung
Meta-Learning with Attention for Improved Few-Shot Learning. ICASSP (2021)
Thee Chanyaswad, J. Morris Chang, Sun-Yuan Kung
A compressive multi-kernel method for privacy-preserving machine learning. CoRR (2021)
Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Federico Perazzi, Sun-Yuan Kung
Content-Aware GAN Compression. CVPR (2021)
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) (2020)
Xukai Xie, Yuan Zhou, Sun-Yuan Kung
Exploring Highly Efficient Compact Neural Networks For Image Classification. ICIP (2020)
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) (2020)
Zejiang Hou, Sun-Yuan Kung
Efficient Image Super Resolution Via Channel Discriminative Deep Neural Network Pruning. ICASSP (2020)
Zejiang Hou, Sun-Yuan Kung
A Discriminant Information Approach to Deep Neural Network Pruning. ICPR (2020)
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) (2020)
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) (2020)
Yuchen Liu, David Wentzlaff, Sun-Yuan Kung
Rethinking Class-Discrimination Based CNN Channel Pruning. CoRR (2020)
Zejiang Hou, Sun-Yuan Kung
A Feature-map Discriminant Perspective for Pruning Deep Neural Networks. CoRR (2020)
Mert Al, Semih Yagli, Sun-Yuan Kung
Privacy Enhancing Machine Learning via Removal of Unwanted Dependencies. CoRR (2020)
Sun-Yuan Kung, Zejiang Hou
Augment deep BP-parameter learning with local XAI-structural learning. Commun. Inf. Syst. 20 (3) (2020)
Yuan Zhou, Dandan Li, Shuwei Huo, Sun-Yuan Kung
Soft-Root-Sign Activation Function. CoRR (2020)
Mert Al, Zejiang Hou, Sun-Yuan Kung
Scalable Kernel Learning Via the Discriminant Information. ICASSP (2020)
Meikang Qiu, Sun-Yuan Kung, Keke Gai
Intelligent security and optimization in Edge/Fog Computing. Future Gener. Comput. Syst. 107 (2020)
Zejiang Hou, Sun-Yuan Kung
Hierarchically Aggregated Residual Transformation for Single Image Super Resolution. ICPR (2020)
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 (2020)
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) (2019)
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) (2019)
Xukai Xie, Yuan Zhou, Sun-Yuan Kung
HGC: Hierarchical Group Convolution for Highly Efficient Neural Network. CoRR (2019)
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) (2019)
Yuan Zhou, Hongru Li, Sun-Yuan Kung
Temporal Action Localization using Long Short-Term Dependency. CoRR (2019)
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) (2019)
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) (2019)
Xukai Xie, Yuan Zhou, Sun-Yuan Kung
Exploiting Operation Importance for Differentiable Neural Architecture Search. CoRR (2019)
Zejiang Hou, Sun-Yuan Kung
A Kernel Discriminant Information Approach to Non-linear Feature Selection. IJCNN (2019)
Dandan Li, Yuan Zhou, Shuwei Huo, Sun-Yuan Kung
Comb Convolution for Efficient Convolutional Architecture. CoRR (2019)
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)
Mert Al, Zejiang Hou, Sun-Yuan Kung
Scalable Kernel Learning via the Discriminant Information. CoRR (2019)
Sun-Yuan Kung
A Compressive Privacy approach to Generalized Information Bottleneck and Privacy Funnel problems. J. Frankl. Inst. 355 (4) (2018)
Jianxing Yang, Yuan Zhou, Sun-Yuan Kung
Multi-scale Generative Adversarial Networks for Crowd Counting. ICPR (2018)
Yuan Zhou, Jianxing Yang, Yang Chen, Sun-Yuan Kung
Blurred Image Region Detection based on Stacked Auto-Encoder. ICPR (2018)
Mert Al, Thee Chanyaswad, Sun-Yuan Kung
Supervising Nyström Methods via Negative Margin Support Vector Selection. CoRR (2018)
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) (2018)
Mert Al, Thee Chanyaswad, Sun-Yuan Kung
Multi-Kernel, Deep Neural Network and Hybrid Models for Privacy Preserving Machine Learning. ICASSP (2018)
Thee Chanyaswad, Mert Al, Sun-Yuan Kung
Outlier Removal for Enhancing Kernel-Based Classifier Via the Discriminant Information. ICASSP (2018)
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) (2018)
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) (2018)
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)
Yuan Zhou, Shuwei Huo, Ying Chen, Sun-Yuan Kung
Super-resolution Imaging Based on Global Interpolation and Structural Similarities. ICPR (2018)
Sun-Yuan Kung
Discriminant component analysis for privacy protection and visualization of big data. Multim. Tools Appl. 76 (3) (2017)
Mert Al, Shibiao Wan, Sun-Yuan Kung
Ratio Utility and Cost Analysis for Privacy Preserving Subspace Projection. CoRR (2017)
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) (2017)
Shuwei Huo, Yuan Zhou, Sun-Yuan Kung
Salient object detection via a linear feedback control system. ICIP (2017)
Shuwei Huo, Yuan Zhou, Sun-Yuan Kung
Semi-supervised saliency classifier based on a linear feedback control system model. IJCNN (2017)
Mohammad Al-Rubaie, Pei Yuan Wu, J. Morris Chang, Sun-Yuan Kung
Privacy-preserving PCA on horizontally-partitioned data. DSC (2017)
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) (2017)
Shibiao Wan, Man-Wai Mak, Sun-Yuan Kung
Protecting Genomic Privacy by a Sequence-Similarity Based Obfuscation Method. CoRR (2017)
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) (2017)
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)
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) (2017)
Sun-Yuan Kung
Compressive Privacy: From Information Estimation Theory to Machine Learning [Lecture Notes]. IEEE Signal Process. Mag. 34 (1) (2017)
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) (2017)
Artur Filipowicz, Thee Chanyaswad, Sun-Yuan Kung
Desensitized RDCA Subspaces for Compressive Privacy in Machine Learning. CoRR (2017)
Thee Chanyaswad, J. Morris Chang, Sun-Yuan Kung
A compressive multi-kernel method for privacy-preserving machine learning. IJCNN (2017)
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) (2016)
Konstantinos I. Diamantaras, Sun-Yuan Kung
Data privacy protection by kernel subspace projection and generalized eigenvalue decomposition. MLSP (2016)
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) (2016)
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) (2016)
Yinan Yu, Konstantinos I. Diamantaras, Tomas McKelvey, Sun-Yuan Kung
Adaptive margin slack minimization in RKHS for classification. ICASSP (2016)
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)
Thee Chanyaswad, J. Morris Chang, Prateek Mittal, Sun-Yuan Kung
Discriminant-component eigenfaces for privacy-preserving face recognition. MLSP (2016)
Shibiao Wan, Man-Wai Mak, Sun-Yuan Kung
Sparse regressions for predicting and interpreting subcellular localization of multi-label proteins. BMC Bioinform. 17 (2016)

Sun-Yuan Kung.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Sun-Yuan Kung