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2020 – today
- 2024
[j54]Hong Liu, Yuzhou Zhuang, Enmin Song, Yongde Liao, Guanchao Ye, Fan Yang
, Xiangyang Xu, Xvhao Xiao, Chih-Cheng Hung:
A 3D boundary-guided hybrid network with convolutions and Transformers for lung tumor segmentation in CT images. Comput. Biol. Medicine 180: 109009 (2024)- [j53]Dalong Zheng, Zebin Wu, Jia Liu, Yang Xu, Chih-Cheng Hung, Zhihui Wei:
Explicit Change-Relation Learning for Change Detection in VHR Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j52]Dalong Zheng, Zebin Wu, Jia Liu, Chih-Cheng Hung, Zhihui Wei:
Detail Enhanced Change Detection in VHR Images Using a Self-Supervised Multiscale Hybrid Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 3181-3196 (2024) - 2023
- [j51]Bangcheng Zhan, Enmin Song, Hong Liu, Zhenyu Gong, Guangzhi Ma, Chih-Cheng Hung:
CFNet: A medical image segmentation method using the multi-view attention mechanism and adaptive fusion strategy. Biomed. Signal Process. Control. 79(Part): 104112 (2023) - [j50]Ming Fang, Siyu Peng, Yujia Liang, Chih-Cheng Hung, Shuhua Liu:
A multimodal fusion model with multi-level attention mechanism for depression detection. Biomed. Signal Process. Control. 82: 104561 (2023) - [j49]Enmin Song, Bangcheng Zhan, Hong Liu, Coskun Cetinkaya, Chih-Cheng Hung:
NMNet: Learning Multi-level semantic information from scale extension domain for improved medical image segmentation. Biomed. Signal Process. Control. 83: 104651 (2023) - [j48]Xingsi Xue, Pei-Wei Tsai, Yuping Wang, Chin-Ling Chen, Vicente García-Díaz, Chih-Cheng Hung:
Special issue on "Recent advances on computational intelligence techniques and applications in big data". Evol. Intell. 16(5): 1447-1448 (2023) - [j47]Bangcheng Zhan, Enmin Song, Hong Liu, Xiangyang Xu, Wencheng Li, Chih-Cheng Hung:
Segmenting medical images via explicit-implicit attention aggregation. Knowl. Based Syst. 279: 110932 (2023) - [j46]Ming Fang, Siyu Peng, Yang Zhao, Haibo Yuan, Chih-Cheng Hung, Shuhua Liu:
3 s-STNet: three-stream spatial-temporal network with appearance and skeleton information learning for action recognition. Neural Comput. Appl. 35(2): 1835-1848 (2023) - [j45]Shuhua Liu, Lanting Li, Ming Fang, Chih-Cheng Hung, Shihao Yang:
A Prompt Learning Based Intent Recognition Method on a Chinese Implicit Intent Dataset CIID. Neural Process. Lett. 55(8): 11017-11034 (2023) - [j44]Yuzhou Zhuang, Hong Liu, Enmin Song, Chih-Cheng Hung:
A 3D Cross-Modality Feature Interaction Network With Volumetric Feature Alignment for Brain Tumor and Tissue Segmentation. IEEE J. Biomed. Health Informatics 27(1): 75-86 (2023) - [i4]Dalong Zheng, Zebin Wu, Jia Liu, Chih-Cheng Hung, Zhihui Wei:
Explicit Change Relation Learning for Change Detection in VHR Remote Sensing Images. CoRR abs/2311.07993 (2023) - 2022
- [j43]Shuhua Liu, Xiaoying Bai, Ming Fang, Lanting Li, Chih-Cheng Hung:
Mixed graph convolution and residual transformation network for skeleton-based action recognition. Appl. Intell. 52(2): 1544-1555 (2022) - [j42]Hong Liu, Yuzhou Zhuang, Enmin Song, Xiangyang Xu, Chih-Cheng Hung:
A bidirectional multilayer contrastive adaptation network with anatomical structure preservation for unpaired cross-modality medical image segmentation. Comput. Biol. Medicine 149: 105964 (2022) - [j41]Shuhua Liu, Yushu Ren, Lanting Li, Xiaoyu Sun, Yu Song, Chih-Cheng Hung:
Micro-expression recognition based on SqueezeNet and C3D. Multim. Syst. 28(6): 2227-2236 (2022) - [j40]Yuzhou Zhuang, Hong Liu, Enmin Song, Guangzhi Ma, Xiangyang Xu, Chih-Cheng Hung:
APRNet: A 3D Anisotropic Pyramidal Reversible Network With Multi-Modal Cross-Dimension Attention for Brain Tissue Segmentation in MR Images. IEEE J. Biomed. Health Informatics 26(2): 749-761 (2022) - [c99]Yuzhou Zhuang, Hong Liu, Enmin Song, Coskun Cetinkaya, Chih-Cheng Hung:
An Unpaired Cross-Modality Segmentation Framework Using Data Augmentation and Hybrid Convolutional Networks for Segmenting Vestibular Schwannoma and Cochlea. BrainLes@MICCAI (2) 2022: 79-89 - [c98]Alan Norkham, Mikalus Chalupa, Noah Gardner, Md Abdullah Al Hafiz Khan, Xinyue Zhang, Chih-Cheng Hung:
Reinforcement Learning Agent for Path Planning with Expert Demonstration. COMPSAC 2022: 1016-1019 - [c97]Kun Suo, Tu N. Nguyen, Yong Shi, Jing Selena He, Chih-Cheng Hung:
Keep Clear of the Edges : An Empirical Study of Artificial Intelligence Workload Performance and Resource Footprint on Edge Devices. IPCCC 2022: 7-16 - [i3]Yuzhou Zhuang, Hong Liu, Enmin Song, Coskun Cetinkaya, Chih-Cheng Hung:
An Unpaired Cross-modality Segmentation Framework Using Data Augmentation and Hybrid Convolutional Networks for Segmenting Vestibular Schwannoma and Cochlea. CoRR abs/2211.14986 (2022) - 2021
- [j39]Hassen Louati, Slim Bechikh, Ali Louati, Chih-Cheng Hung, Lamjed Ben Said:
Deep convolutional neural network architecture design as a bi-level optimization problem. Neurocomputing 439: 44-62 (2021) - [c96]Sofien Boutaib, Maha Elarbi, Slim Bechikh, Chih-Cheng Hung, Lamjed Ben Said:
Software Anti-patterns Detection Under Uncertainty Using a Possibilistic Evolutionary Approach. EuroGP 2021: 181-197 - [c95]Kun Suo, Yong Shi, Chih-Cheng Hung, Patrick Bobbie:
Quantifying context switch overhead of artificial intelligence workloads on the cloud and edges. SAC 2021: 1182-1189 - [e8]Chih-Cheng Hung, Jiman Hong, Alessio Bechini, Eunjee Song:
SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, Republic of Korea, March 22-26, 2021. ACM 2021, ISBN 978-1-4503-8104-8 [contents] - 2020
- [j38]Haichao Cao, Hong Liu, Enmin Song, Chih-Cheng Hung, Guangzhi Ma, Xiangyang Xu, Renchao Jin, Jianguo Lu:
Dual-branch residual network for lung nodule segmentation. Appl. Soft Comput. 86 (2020) - [j37]Hong Liu, Lijun Xu, Enmin Song, Renchao Jin, Chih-Cheng Hung:
Automatic labelling of brain tissues in MR images through spatial indexes based hybrid atlas forest. IET Image Process. 14(12): 2728-2736 (2020) - [j36]Hong Liu, Haichao Cao, Enmin Song, Guangzhi Ma, Xiangyang Xu, Renchao Jin, Chuhua Liu, Chih-Cheng Hung:
Multi-model Ensemble Learning Architecture Based on 3D CNN for Lung Nodule Malignancy Suspiciousness Classification. J. Digit. Imaging 33(5): 1242-1256 (2020) - [j35]Ming Fang, Xiaoying Bai, Jianwei Zhao, Fengqin Yang, Chih-Cheng Hung, Shuhua Liu:
Integrating Gaussian mixture model and dilated residual network for action recognition in videos. Multim. Syst. 26(6): 715-725 (2020) - [j34]Jiaosong Long, Guangzhi Ma, Hong Liu, Enmin Song, Chih-Cheng Hung, Xiangyang Xu, Renchao Jin, Yuzhou Zhuang, DaiYang Liu:
Cascaded hybrid residual U-Net for glioma segmentation. Multim. Tools Appl. 79(33-34): 24929-24947 (2020) - [j33]Haichao Cao, Hong Liu, Enmin Song, Guangzhi Ma, Xiangyang Xu, Renchao Jin, Tengying Liu, Chih-Cheng Hung:
A Two-Stage Convolutional Neural Networks for Lung Nodule Detection. IEEE J. Biomed. Health Informatics 24(7): 2006-2015 (2020) - [c94]Noah Gardner, Coskun Tekes, Nate Weinberg, Nick Ray, Julian Duran, Stephen Nick Housley, David Wu, Chih-Cheng Hung:
EMG Based Simultaneous Wrist Motion Prediction Using Reinforcement Learning. BIBE 2020: 1016-1021 - [c93]Marwa Hammami, Slim Bechikh, Mohamed Makhlouf, Chih-Cheng Hung, Lamjed Ben Said:
Class Dependent Feature Construction as a Bi-level optimization Problem. CEC 2020: 1-8 - [c92]Sofien Boutaib, Slim Bechikh, Carlos A. Coello Coello, Chih-Cheng Hung, Lamjed Ben Said:
Handling uncertainty in code smells detection using a possibilistic SBSE approach. GECCO Companion 2020: 303-304 - [c91]Marwa Hammami, Slim Bechikh, Chih-Cheng Hung, Lamjed Ben Said:
Class-Dependent Weighted Feature Selection as a Bi-Level Optimization Problem. ICONIP (5) 2020: 269-278 - [c90]Michael Wong, Chih-Cheng Hung:
Dimensionality Reduction with Weighted K-Means for Hyperspectral Image Classification. IGARSS 2020: 44-47 - [c89]Srivatsa Mallapragada, Chih-Cheng Hung:
Statistical Perspective of SOM and CSOM for Hyper-Spectral Image Classification. IGARSS 2020: 48-51 - [e7]Chih-Cheng Hung, Tomás Cerný, Dongwan Shin, Alessio Bechini:
SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30 - April 3, 2020. ACM 2020, ISBN 978-1-4503-6866-7 [contents]
2010 – 2019
- 2019
- [b1]Chih-Cheng Hung, Enmin Song, Yihua Lan:
Image Texture Analysis - Foundations, Models and Algorithms. Springer 2019, ISBN 978-3-030-13772-4, pp. 1-258 - [j32]Feng Yu, Enmin Song, Hong Liu, Jun Zhu, Chih-Cheng Hung:
Laparoscopic Image-Guided System Based on Multispectral Imaging for the Ureter Detection. IEEE Access 7: 3800-3809 (2019) - [j31]Yihua Lan, Kun Bai, Chih-Cheng Hung, Abdulhameed Alelaiwi, Athanasios V. Vasilakos:
A Novel Definition of Equivalent Uniform Dose Based on Volume Dose Curve. IEEE Access 7: 45850-45857 (2019) - [j30]Haichao Cao, Hong Liu, Enmin Song, Guangzhi Ma, Xiangyang Xu, Renchao Jin, Tengying Liu, Chih-Cheng Hung:
Multi-Branch Ensemble Learning Architecture Based on 3D CNN for False Positive Reduction in Lung Nodule Detection. IEEE Access 7: 67380-67391 (2019) - [j29]Lijun Xu, Hong Liu, Enmin Song, Renchao Jin, Chih-Cheng Hung:
Automatic brain tissue segmentation in MR images using hybrid atlas forest based on confidence-weighted probability matrix. Int. J. Imaging Syst. Technol. 29(2): 97-109 (2019) - [j28]Hong Liu, Lijun Xu, Enmin Song, Renchao Jin, Chih-Cheng Hung:
Automatic Labeling of MR Brain Images Through the Hashing Retrieval Based Atlas Forest. J. Medical Syst. 43(8): 241:1-241:12 (2019) - [j27]Marwa Hammami, Slim Bechikh, Chih-Cheng Hung, Lamjed Ben Said:
A Multi-objective hybrid filter-wrapper evolutionary approach for feature selection. Memetic Comput. 11(2): 193-208 (2019) - [j26]Enmin Song, Yuejing Qian, Hong Liu, Meng Yan, Huimin Song, Chih-Cheng Hung:
A target-oriented segmentation method for specific tissues in MRI images of the brain. Multim. Tools Appl. 78(7): 9083-9099 (2019) - [j25]Marwa Chabbouh, Slim Bechikh, Chih-Cheng Hung, Lamjed Ben Said:
Multi-objective evolution of oblique decision trees for imbalanced data binary classification. Swarm Evol. Comput. 49: 1-22 (2019) - [c88]Marwa Hammami, Slim Bechikh, Chih-Cheng Hung, Lamjed Ben Said:
Weighted-Features Construction as a Bi-level Problem. CEC 2019: 1604-1611 - [c87]Slim Bechikh, Maha Elarbi, Chih-Cheng Hung, Sabrine Hamdi, Lamjed Ben Said:
A Hybrid Evolutionary Algorithm with Heuristic Mutation for Multi-objective Bi-clustering. CEC 2019: 2323-2330 - [c86]Wajira Abeysinghe, Michael Wong, Chih-Cheng Hung, Slim Bechikh:
A Constrained Box Algorithm for Imbalanced Data in Satellite Images. IGARSS 2019: 3089-3092 - [c85]Mahsa Shokri Varniab, Chih-Cheng Hung, Vahid Khalilzad-Sharghi:
Classification of multiclass datasets using genetic programming. RACS 2019: 76-82 - [c84]Michael Wong, Wajira Abeysinghe, Chih-Cheng Hung:
A Massive Self-Organizing Map For Hyperspectral Image Classification. WHISPERS 2019: 1-5 - [e6]Chih-Cheng Hung, Qianbin Chen, Xianzhong Xie, Christian Esposito, Jun Huang, Juw Won Park, Qinghua Zhang:
Proceedings of the Conference on Research in Adaptive and Convergent Systems, RACS 2019, Chongqing, China, September 24-27, 2019. ACM 2019, ISBN 978-1-4503-6843-8 [contents] - [e5]Chih-Cheng Hung, George A. Papadopoulos:
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, SAC 2019, Limassol, Cyprus, April 8-12, 2019. ACM 2019, ISBN 978-1-4503-5933-7 [contents] - [i2]Haichao Cao, Hong Liu, Enmin Song, Guangzhi Ma, Xiangyang Xu, Renchao Jin, Tengying Liu, Chih-Cheng Hung:
Two-Stage Convolutional Neural Network Architecture for Lung Nodule Detection. CoRR abs/1905.03445 (2019) - [i1]Haichao Cao, Hong Liu, Enmin Song, Chih-Cheng Hung, Guangzhi Ma, Xiangyang Xu, Renchao Jin, Jianguo Lu:
Dual-branch residual network for lung nodule segmentation. CoRR abs/1905.08413 (2019) - 2018
- [j24]Qian Wang, Wei Xiong, Yin Zhang, Ning Pan, Zhuo Yu, Enmin Song, Chih-Cheng Hung:
Remote analysis of myocardial fiber information in vivo assisted by cloud computing. Future Gener. Comput. Syst. 85: 146-159 (2018) - [j23]Meng Yan, Hong Liu, Enmin Song, Yuejing Qian, Lianghai Jin, Chih-Cheng Hung:
Sparse patch-based representation with combined information of atlas for multi-atlas label fusion. IET Image Process. 12(8): 1345-1353 (2018) - [j22]Jun Shen, Chih-Cheng Hung, Ghassan Beydoun, Yan Li, William W. Guo:
Data-Centric Intelligent Computing: Preface. Int. J. Comput. Intell. Syst. 11(1): 616-617 (2018) - [j21]Ning Cheng, Enmin Song, Hong Liu, Chih-Cheng Hung, Zhihong Lu:
Improved method of frame accumulation technology using dual optical signals. J. Electronic Imaging 27(04): 043032 (2018) - [j20]Feng Yu, Enmin Song, Hong Liu, Yunlong Li, Jun Zhu, Chih-Cheng Hung:
An Augmented Reality Endoscope System for Ureter Position Detection. J. Medical Syst. 42(8): 138:1-138:12 (2018) - [j19]Enmin Song, Feng Yu, Yunlong Li, Hong Liu, Youming Wan, Chih-Cheng Hung:
An Image-guided Endoscope System for the Ureter Detection. Mob. Networks Appl. 23(6): 1655-1668 (2018) - [j18]Zhiliang Zhu, Lianghai Jin, Enmin Song, Chih-Cheng Hung:
Quaternion Switching Vector Median Filter Based on Local Reachability Density. IEEE Signal Process. Lett. 25(6): 843-847 (2018) - [c83]Marwa Hammami, Slim Bechikh, Chih-Cheng Hung, Lamjed Ben Said:
A Multi-Objective Hybrid Filter-Wrapper Evolutionary Approach for Feature Construction on High-Dimensional Data. CEC 2018: 1-8 - [c82]Wajira Abeysinghe, Chih-Cheng Hung, Slim Bechikh, Xiaosong Wang, Altaf Rattani:
Clustering algorithms on imbalanced data using the SMOTE technique for image segmentation. RACS 2018: 17-22 - [e4]Chih-Cheng Hung, Lamjed Ben Said:
Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems, RACS 2018, Honolulu, HI, USA, October 09-12, 2018. ACM 2018 [contents] - 2017
- [j17]Hong Liu, Meng Yan, Enmin Song, Yuejing Qian, Xiangyang Xu, Renchao Jin, Lianghai Jin, Chih-Cheng Hung:
Label fusion method based on sparse patch representation for the brain MRI image segmentation. IET Image Process. 11(7): 502-511 (2017) - [j16]Meng Yan, Hong Liu, Xiangyang Xu, Enmin Song, Yuejing Qian, Ning Pan, Renchao Jin, Lianghai Jin, Shaorong Cheng, Chih-Cheng Hung:
An improved label fusion approach with sparse patch-based representation for MRI brain image segmentation. Int. J. Imaging Syst. Technol. 27(1): 23-32 (2017) - [j15]Chih-Cheng Hung, Eun Suk Chang:
Moran's I for impulse noise detection and removal in color images. J. Electronic Imaging 26(2): 23023 (2017) - [j14]Jian Zhou, Qina Wang, Chih-Cheng Hung, Fan Yang:
Credibilistic clustering algorithms via alternating cluster estimation. J. Intell. Manuf. 28(3): 727-738 (2017) - [c81]Meriem Bousselmi, Slim Bechikh, Chih-Cheng Hung, Lamjed Ben Said:
Bi-MOCK: A Multi-objective Evolutionary Algorithm for Bi-clustering with Automatic Determination of the Number of Bi-clusters. ICONIP (4) 2017: 366-376 - [c80]Sumit Chakravarty, Madhushri Banerjee, Chih-Cheng Hung:
Kalman particle filtering algorithm and its comparison to Kalman based linear unmixing. IGARSS 2017: 221-224 - [c79]Minh Nguyen, Chih-Cheng Hung, Mingon Kang:
A Comparison on Sparse Coding and Moran's I Method for Image Denoising. RACS 2017: 89-93 - [c78]Ding Yuan, Yalong Yu, Jingjing Qiang, Chih-Cheng Hung, Jihao Yin:
Moving object detection using monocular moving camera with normal flows. RCAR 2017: 34-39 - 2016
- [j13]Yongchuan Liu, Renchao Jin, Mi Chen, Enmin Song, Xiangyang Xu, Sheng Zhang, Chih-Cheng Hung:
Contour propagation using non-uniform cubic B-splines for lung tumor delineation in 4D-CT. Int. J. Comput. Assist. Radiol. Surg. 11(12): 2139-2151 (2016) - [j12]Renchao Jin, Shengrong Zhao, Xiangyang Xu, Enmin Song, Chih-Cheng Hung:
Super-resolving barcode images with an edge-preserving variational Bayesian framework. J. Electronic Imaging 25(3): 033016 (2016) - [j11]Enmin Song, Feng Yu, Hong Liu, Ning Cheng, Yunlong Li, Lianghai Jin, Chih-Cheng Hung:
A Novel Endoscope System for Position Detection and Depth Estimation of the Ureter. J. Medical Syst. 40(12): 266:1-266:11 (2016) - [c77]Eun Suk Chang, Chih-Cheng Hung, Wenping Liu, Jihao Yina:
A Denoising algorithm for remote sensing images with impulse noise. IGARSS 2016: 2905-2908 - [c76]Syed Ali, Chih-Cheng Hung:
An Empirical Study on Feature Extraction for the Classification of Textural and Natural Images. RACS 2016: 51-55 - [c75]Maha Elarbi, Slim Bechikh, Lamjed Ben Said, Chih-Cheng Hung:
Solving many-objective problems using targeted search directions. SAC 2016: 89-96 - 2015
- [j10]Jian Zhou, Qina Wang, Chih-Cheng Hung, Xiajie Yi:
Credibilistic Clustering: The Model and Algorithms. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 23(4): 545-564 (2015) - [c74]Enmin Song, Ning Pan, Chih-Cheng Hung, Xiang Li, Lianghai Jin:
Reflection invariant local binary patterns for image texture classification. RACS 2015: 210-215 - 2014
- [j9]Bor-Chen Kuo, Hsin-Hua Ho, Cheng-Hsuan Li, Chih-Cheng Hung, Jin-Shiuh Taur:
A Kernel-Based Feature Selection Method for SVM With RBF Kernel for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(1): 317-326 (2014) - [c73]Vinh Nguyen, Chih-Cheng Hung, Xiang Ma:
Face hallucination based on locally linear embedding and local correlation. RACS 2014: 1-6 - [c72]Edward Jung, Chih-Cheng Hung, Seonho Choi:
FSM watermarks based on ordering of flip flops. RACS 2014: 258-262 - [e3]Yookun Cho, Sung Y. Shin, Sang-Wook Kim, Chih-Cheng Hung, Jiman Hong:
Symposium on Applied Computing, SAC 2014, Gyeongju, Republic of Korea - March 24 - 28, 2014. ACM 2014, ISBN 978-1-4503-2469-4 [contents] - 2013
- [j8]Hong Liu, Ning Pan, Heng Lu, Enmin Song, Qian Wang, Chih-Cheng Hung:
Wireless Capsule Endoscopy Video Reduction Based on Camera Motion Estimation. J. Digit. Imaging 26(2): 287-301 (2013) - [j7]Yihua Lan, Haozheng Ren, Yong Zhang, Chih-Cheng Hung:
Multi-band Vector Wavelet Transformation based Multi-Focus Image Fusion Algorithm. J. Softw. 8(1): 208-217 (2013) - [c71]Chih-Cheng Hung, Ellis Casper, Bor-Chen Kuo, Wenping Liu, Xiaoyi Yu, Edward Jung, Ming Yang:
A Quantum-Modeled Fuzzy C-Means clustering algorithm for remotely sensed multi-band image segmentation. IGARSS 2013: 2501-2504 - [c70]Chih-Cheng Hung, Ellis Casper, Bor-Chen Kuo, Wenping Liu, Edward Jung, Ming Yang:
A Quantum-Modeled Artificial Bee Colony clustering algorithm for remotely sensed multi-band image segmentation. IGARSS 2013: 2585-2588 - [c69]Michael Doherty, Chih-Cheng Hung:
Performance consequences of introducing an internal penalty function to a genetic algorithm for scheduling. RACS 2013: 12-15 - 2012
- [j6]Guangzhi Ma, Enmin Song, Chih-Cheng Hung, Li Su, Dongshan Huang:
Multiple costs based decision making with back-propagation neural networks. Decis. Support Syst. 52(3): 657-663 (2012) - [j5]Ming Yang, Chih-Cheng Hung, Edward Jung:
Secure Information Delivery through High Bitrate Data Embedding within Digital Video and its Application to Audio/Video Synchronization. Int. J. Inf. Secur. Priv. 6(4): 71-93 (2012) - [c68]Liang Hong, Kai Qian, Chih-Cheng Hung:
Work in progress: Multi-faceted penetration of fast fourier transform by interactively analyzing real-world objects via mobile technology. FIE 2012: 1-2 - [c67]Ellis Casper, Chih-Cheng Hung, Edward Jung, Ming Yang:
A quantum-modeled K-means clustering algorithm for multi-band image segmentation. RACS 2012: 158-163 - [c66]Edward Jung, Chih-Cheng Hung, Seonho Choi, Ming Yang:
An efficient locking and unlocking method of sequential systems. RACS 2012: 428-433 - [c65]Hong Liu, Chih-Cheng Hung, Huaifei Hu, Mali Yu, Enmin Song:
An application of circumscribed circle filter in the Multi-Stencils Fast Marching method. SAC 2012: 33-38 - [c64]Mali Yu, Qiliang Huang, Renchao Jin, Enmin Song, Hong Liu, Chih-Cheng Hung:
A novel segmentation method for convex lesions based on dynamic programming with local intra-class variance. SAC 2012: 39-44 - [c63]Bor-Chen Kuo, Wei-Ming Chang, Cheng-Hsuan Li, Chih-Cheng Hung:
Correlation matrix feature extraction based on spectral clustering for hyperspectral image segmentation. WHISPERS 2012: 1-4 - 2011
- [j4]Enmin Song, Dongshan Huang, Guangzhi Ma, Chih-Cheng Hung:
Semi-supervised multi-class Adaboost by exploiting unlabeled data. Expert Syst. Appl. 38(6): 6720-6726 (2011) - [j3]Chih-Cheng Hung, Sameer Kulkarni, Bor-Chen Kuo:
A New Weighted Fuzzy C-Means Clustering Algorithm for Remotely Sensed Image Classification. IEEE J. Sel. Top. Signal Process. 5(3): 543-553 (2011) - [c62]Longteng Xu, Chih-Cheng Hung:
A comparison on the effectiveness of different similarity measures for image classification. ACM Southeast Regional Conference 2011: 352-353 - [c61]Bor-Chen Kuo, I-Ling Chen, Cheng-Hsuan Li, Chih-Cheng Hung:
Combining ensemble technique of support vector machines with the optimal kernel method for hyperspectral image classification. IGARSS 2011: 3903-3906 - [c60]Yang Zhang, Mojia Sun, Chih-Cheng Hung, Edward Jung:
An empirical study on the effectiveness of hyperspectral image classification algorithms with dimensionality reduction. RACS 2011: 187-191 - [c59]Edward Jung, Chih-Cheng Hung, Guangzhi Ma, Seonho Choi:
The investigation of the structural properties of machines for the design of secure and trustworthy systems. RACS 2011: 261-265 - [c58]Edward Jung, Chih-Cheng Hung, Guangzhi Ma, Seonho Choi:
A unified design method utilizing decomposability and composability for secure systems. RACS 2011: 272-276 - [c57]Huaifei Hu, Hong Liu, Lili Chen, Chih-Cheng Hung, Xiangyang Xu, Zhicong Lan:
Image segmentation of cervical vertebra in X-ray radiographs using the curve fitting strategy. SAC 2011: 853-858 - [c56]Yihua Lan, Hong Liu, Enmin Song, Chih-Cheng Hung:
A comparative study and analysis on K-view based algorithms for image texture classification. SAC 2011: 859-860 - [e2]William C. Chu, W. Eric Wong, Mathew J. Palakal, Chih-Cheng Hung:
Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21 - 24, 2011. ACM 2011, ISBN 978-1-4503-0113-8 [contents] - 2010
- [c55]Chih-Cheng Hung, Mojia Sun:
Ant colony optimization for the K-means algorithm in image segmentation. ACM Southeast Regional Conference 2010: 48 - [c54]Shangrong Deng, Chih-Cheng Hung, Kai Qian:
Using the online webwork for student's homework practice in education. ACM Southeast Regional Conference 2010: 83 - [c53]Yang Zhang, Taolun Chai, Chih-Cheng Hung:
Local binary patterns for face recognition under varying variations. CSIIRW 2010: 39 - [c52]Bor-Chen Kuo, Chih-Sheng Huang, Chih-Cheng Hung, Yu-Lung Liu, I-Ling Chen:
Spatial information based support vector machine for hyperspectral image classification. IGARSS 2010: 832-835 - [c51]Junfeng Yao, Chao Lin, Xiaobiao Xie, Andy Ju An Wang, Chih-Cheng Hung:
Path Planning for Virtual Human Motion Using Improved A* Star Algorithm. ITNG 2010: 1154-1158 - [c50]Yihua Lan, Hong Liu, Enmin Song, Chih-Cheng Hung:
An improved K-view algorithm for image texture classification using new characteristic views selection methods. SAC 2010: 959-963 - [e1]Sung Y. Shin, Sascha Ossowski, Michael Schumacher, Mathew J. Palakal, Chih-Cheng Hung:
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), Sierre, Switzerland, March 22-26, 2010. ACM 2010, ISBN 978-1-60558-639-7 [contents]
2000 – 2009
- 2009
- [c49]Chih-Cheng Hung, Li Wan:
Hybridization of particle swarm optimization with the K-Means algorithm for image classification. CIIP 2009: 60-64 - [c48]Richard Gesick, Caner Saritac, Chih-Cheng Hung:
Automatic image analysis process for the detection of concealed weapons. CSIIRW 2009: 20 - [c47]Bor-Chen Kuo, Chih-Sheng Huang, Hsiang-Chuan Liu, Chih-Cheng Hung:
A Fuzzy Fusion Algorithm to Combine Multiple Classifiers. IGARSS (3) 2009: 685-688 - [c46]Hong Liu, Siguang Dai, Enmin Song, Cihui Yang, Chih-Cheng Hung:
A new K-View algorithm for texture image classification using rotation-invariant feature. SAC 2009: 914-921 - [c45]Dongshan Huang, Enmin Song, Guangzhi Ma, Huirong Zhan, Chih-Cheng Hung:
A new cross-training approach by using labeled data. SAC 2009: 941-942 - [c44]Bor-Chen Kuo, Chun-Hsiang Chuang, Chih-Sheng Huang, Chih-Cheng Hung:
A nonparametric contextual classification based on Markov random fields. WHISPERS 2009: 1-4 - [c43]Zhanshan (Sam) Ma, Axel W. Krings, Chih-Cheng Hung:
The Handicap Principle for Trust in Computer Security, the Semantic Web and Social Networking. WISM 2009: 458-468 - 2008
- [c42]Bor-Chen Kuo, Chun-Hsiang Chuang, Chih-Cheng Hung, Szu-Wei Yang:
A Novel Random Subspace Method Using Spectral and Spatial Information for Hyperspectral Image Classification. IGARSS (1) 2008: 217-220 - [c41]Cheng-Hsuan Li, Bor-Chen Kuo, Chin-Teng Lin, Chih-Cheng Hung:
Dimension Reduction for Hyperspectral Image Classification via Support Vector based Feature Extraction. IGARSS (5) 2008: 389-392 - [c40]Chih-Cheng Hung, Wenping Liu, Bor-Chen Kuo:
A New Adaptive Fuzzy Clustering Algorithm for Remotely Sensed Images. IGARSS (2) 2008: 863-866 - [c39]Chih-Cheng Hung, Hendri Purnawan:
A Hybrid Rough K-Means Algorithm and Particle Swarm Optimization for Image Classification. MICAI 2008: 585-593 - 2007
- [j2]Jian Zhou, Chih-Cheng Hung:
A Generalized Approach to Possibilistic Clustering Algorithms. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 15(Supplement-2): 117-138 (2007) - [c38]Chih-Cheng Hung, Hendri Purnawan, Bor-Chen Kuo:
Multispectral image classification using rough set theory and the comparison with parallelepiped classifier. IGARSS 2007: 2052-2055 - [c37]Sara Saatchi, Chih-Cheng Hung:
Using Ant Colony Optimization and Self-organizing Map for Image Segmentation. MICAI 2007: 570-579 - [c36]Enmin Song, Renchao Jin, Yu Luo, Xiangyang Xu, Chih-Cheng Hung, Jianqiang Du:
Boundary refined texture segmentation on liver biopsy images for quantitative assessment of fibrosis severity. Image Processing 2007: 65124G - [c35]Enmin Song, Luan Jiang, Bo Meng, Renchao Jin, Xiangyang Xu, Chih-Cheng Hung:
Mass edge detection in mammography based on plane fitting and dynamic programming. SAC 2007: 80-81 - 2006
- [c34]Bor-Chen Kuo, Chih-Cheng Hung, Chen-Wei Chang, Hsuan-Po Wang:
A Modified Nonparametric Weight Feature Extraction Using Spatial and Spectral Information. IGARSS 2006: 172-175 - [c33]Bor-Chen Kuo, Chih-Cheng Hung, Ming-Hung Chi, Tien-Yu Hsieh:
A Comparison of Hierarchical Classification Processes Based on Hyperspectral Image. IGARSS 2006: 948-951 - [c32]Renchao Jin, Lijuan Zhang, Bo Meng, Enmin Song, Xiangyang Xu, Chih-Cheng Hung:
A weighted average algorithm for edge-preserving smoothing on MRI images. Image Processing 2006: 61446H - [c31]Sara Arasteh, Chih-Cheng Hung, Enmin Song:
Adaptive dynamic run-length coding for image segmentation. SAC 2006: 31-36 - 2005
- [c30]Shilpa Yogesh Tisgaonkar, Chih-Cheng Hung, Benny Bing:
Intelligent handoff management with interference control for next generation wireless systems. ACM Southeast Regional Conference (2) 2005: 1-6 - [c29]Shilpa Yogesh Tisgaonkar, Chih-Cheng Hung, Benny Bing:
Next generation wireless systems using Markov decision process model. ACM Southeast Regional Conference (2) 2005: 94-95 - [c28]Minh Pham, Mei Xiang, Chih-Cheng Hung, Bor-Chen Kuo:
A comparative study on the K-views classifier and Markov random fields for image texture classification. ACM Southeast Regional Conference (1) 2005: 96-97 - [c27]Mei Xiang, Chih-Cheng Hung, Minh Pham, Bor-Chen Kuo, Tommy L. Coleman:
A parallelepiped multispectral image classifier using genetic algorithms. IGARSS 2005: 4 - [c26]Bor-Chen Kuo, Chun-Hao Chang, Tian-Wei Sheu, Chih-Cheng Hung:
Feature extractions using labeled and unlabeled data. IGARSS 2005: 1257-1260 - [c25]Chih-Cheng Hung:
Editorial message: special track on artificial intelligence, computational logic and image analysis. SAC 2005: 3 - [c24]Sara Saatchi, Chih-Cheng Hung:
Hybridization of the Ant Colony Optimization with the K-Means Algorithm for Clustering. SCIA 2005: 511-520 - [c23]Shangrong Deng, Kai Qian, Chih-Cheng Hung:
Enhanced water level model in image classification. Visual Information Processing 2005: 296-303 - 2004
- [c22]Sung Y. Shin, ChanGon Yoo, Chih-Cheng Hung:
Reliable High-Speed Communication Module for Linux Cluster File System Using M-VIA. CATA 2004: 205-208 - [c21]Dilek Karabudak, Chih-Cheng Hung, Benny Bing:
A Comparison of Intelligent Admission Control Schemes for Next Generation Wireless Systems with Simulated Annealing. IASSE 2004: 52-57 - [c20]Chih-Cheng Hung, Dilek Karabudak, Minh Pham, Tommy L. Coleman:
Experiments on image texture classification with K-views classifier, Markov random fields and cooccurrence probabilities. IGARSS 2004: 3818-3821 - [c19]Chih-Cheng Hung, Agostinho C. Rosa, Stefano Bistarelli:
Editorial message: special track on artificial intelligence, computational logic and image analysis. SAC 2004: 3-4 - [c18]Dilek Karabudak, Chih-Cheng Hung, Benny Bing:
A call admission control scheme using genetic algorithms. SAC 2004: 1151-1158 - [c17]Shangrong Deng, Kai Qian, Chih-Cheng Hung:
Water-level model in density-based unsupervised classification. Visual Information Processing 2004: 206-213 - [c16]Dilek Karabudak, Chih-Cheng Hung, Benny Bing:
An intelligent admission control scheme for next generation wireless systems using distributed genetic algorithms. WCNC 2004: 1748-1753 - 2003
- [c15]Chih-Cheng Hung, Tommy L. Coleman, Kai Qian:
Some Experiments on Peer Group Pixels Based Spatial Classifier. CATA 2003: 351-354 - [c14]Chih-Cheng Hung, Agostinho C. Rosa, Stefano Bistarelli:
AI and Computational Science Track Editorial. SAC 2003: 1 - [c13]Shisong Yang, Chih-Cheng Hung:
Image Texture Classification Using Datagrams and Characteristic Views. SAC 2003: 22-26 - [c12]William O. McCallister, Chih-Cheng Hung:
Image Segmentation Using Dynamic Run-Length Coding Technique. SCIA 2003: 343-348 - [c11]Chih-Cheng Hung, Randy Daniel, Tommy L. Coleman:
A Comparison of Simulated Annealing and Tabu Search in Image Segmentation. SNPD 2003: 353-357 - 2002
- [c10]Ralph Flora, Chih-Cheng Hung:
Feature Extraction of Man-Made Objects from Aerial Photography Images. CATA 2002: 136-139 - [c9]Chih-Cheng Hung, Shisong Yang, Charles M. Laymon:
Use of Characteristic Views in Image Classification. ICPR (2) 2002: 949-952 - [c8]Chih-Cheng Hung, Yiwen He, Tommy L. Coleman, Kai Qian:
A spatial classification algorithm using peer group pixels. IGARSS 2002: 3405-3407 - 2001
- [j1]Ming Zhang, Rex E. Gantenbein, Sung Y. Shin, Chih-Cheng Hung:
The application of artificial neural networks in knowledge-based information systems. ACIS Int. J. Comput. Inf. Sci. 2(2): 49-58 (2001) - [c7]Su Jeong Byun, Won Don Lee, Sung Y. Shin, Chih-Cheng Hung:
The performance comparison between backpropagation and extended incremental network model on speaker verification. CATA 2001: 256-259 - [c6]Barry Williams, Chih-Cheng Hung, Kang K. Yen, Tommy L. Coleman:
Image enhancement using the modified cosine function and semi-histogram equalization for gray-scale and color images. SMC 2001: 518-523 - 2000
- [c5]Venkata Atluri, Chih-Cheng Hung, Tommy L. Coleman:
Artificial Immune Systems for Soil Data Classification. CATA 2000: 358-360 - [c4]Kai Qian, Chih-Cheng Hung, Prabir Bhattacharya:
Polynomial morphological approach in pattern recognition. Visual Information Processing 2000: 146-153
1990 – 1999
- 1999
- [c3]Chih-Cheng Hung, Tommy L. Coleman, Venkata Atluri:
The radial basis function neural network and genetic k-means for multispectral image classification. CATA 1999: 111-114 - 1998
- [c2]Chih-Cheng Hung, Asim YarKhan, Kwai Wong, S. A. von Laven, Tommy L. Coleman:
Parallel implementation of an integrated edge-preserving smoothing algorithm in clusters of workstations. ACM Southeast Regional Conference 1998: 20-22 - [c1]Chih-Cheng Hung, Tommy L. Coleman, Paul Scheunders:
Using genetic differential competitive learning for unsupervised training in multispectral image classification systems. SMC 1998: 4482-4485
Coauthor Index
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