Che-Lun Hung - RankMe

79 papers B 7C 11Journal 24Unranked 37

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Decentralized Federated Learning with Non-IID Data: Challenges, Trends, and Future Opportunities. ACM Comput. Surv. Wu-Chun Chung, Chao-Ai Lo, Yan-Hui Lin, Zhi-Hao Chen, Che-Lun Hung
2026	J	`jnl`	Edge-Cloud deep learning computing for detecting heart failure with preserved ejection fraction on cardiac ultrasound. Expert Syst. Appl. Tse-Hsien Lu, Wu-Chun Chung, Chung-Lieh Hung, Che-Lun Hung
2025	—	`conf`	Assessing a Smart-Insole-Based System in Stroke Gait Pattern Recognition. BIBM Yu-Huan Chien, Chun-Chung Chang, Jia-Yu Li, Kai-Li Fang, Wen-Yuan Lee, Mi-Hsuan Lin, Yi-Yin Lai, Luigi D'Arco, Alastair Martin, Katy Pedlow, Haying Wang, Huiru Zheng, Che-Lun Hung
2025	B	`conf`	Effective Detection and Recognition of Traffic Signs with Light Convolutional Neural Networks. KES Maciej Olszewski, Bozena Malysiak-Mrozek, Krzysztof Tokarz, Boleslaw Pochopien, Che-Lun Hung, Andrzej Pulka, Dariusz Mrozek
2025	B	`conf`	From Genetic Reads to Information Granules: Scalable Big NGS Data Cleaning with Apache Pig. IEEE Big Data Bozena Malysiak-Mrozek, Tomasz Sitek, Vaidy S. Sunderam, Boleslaw Pochopien, Krzysztof Tokarz, Che-Lun Hung, Dariusz Mrozek
2025	J	`jnl`	Promoting Accurate Image Reconstruction via Synthetic Noise for Unsupervised Screw Anomaly Detection and Location. IEEE Trans. Instrum. Meas. Jianwen Chen, Wan-Ju Lin, Kuan-Ming Li, Dariusz Mrozek, Che-Lun Hung
2024	—	`conf`	A Novel End-to-End Ensemble UNet Network Based on Edge Computing for Tool Wear Detection. CACML Jianwen Chen, Meng-Shiun Tsai, Wan-Ju Lin, Che-Lun Hung
2024	—	`conf`	Attention-Based Deep Learning Models for Detecting Misinformation of Long-Term Effects of COVID-19. CAI Jian-An Chen, Che-Lun Hung, Chun-Ying Wu
2024	B	`conf`	By Machine Learning Techniques Predicting Post-COVID-19 Condition. COMPSAC Pei-Rong Huang, Chih-Hung Chang, Wen-Ching Chen, Che-Lun Hung, Po-Yu Liu, Ting-Kuang Yeh, Hsiu-Wen Wang, Yu-Chun Yen, William Cheng-Chung Chu
2024	B	`conf`	Decoding the Granular Puzzle of Macromolecules: Efficient 3D Protein Structure Alignment in the Age of Big Data with Apache Spark. IEEE Big Data Bozena Malysiak-Mrozek, Paulina Pawlowicz, Vaidy S. Sunderam, Che-Lun Hung, Andrzej Kwiecien, Dariusz Mrozek
2024	B	`conf`	Enhancing Cutting Sound Quality in Tool Wear Monitoring via Hybrid Domain Loss UNet Network. COMPSAC Jian Wen Chen, Meng-Shiun Tsai, Che-Lun Hung
2024	B	`conf`	Fuzzy Querying in the Cloud-based Environment for Data Stream-driven Predictive Maintenance in AGV-enabled Smart Factories. IEEE Big Data Bozena Malysiak-Mrozek, Dominik Romanów, Piotr Grzesik, Pawel Benecki, Alexandre Niyomugaba, Theodore Habimana, Daniel Kostrzewa, Krzysztof Tokarz, Che-Lun Hung, Dariusz Mrozek
2024	J	`jnl`	Interpreting Industrial IoT Data Streams Through Fuzzy Querying With Hysteretic Fuzzy Sets on Apache Kafka. IEEE Trans. Fuzzy Syst. Bozena Malysiak-Mrozek, Bartlomiej Ryba, Marek Moleda, Che-Lun Hung, Witold Pedrycz, Weiping Ding, Dariusz Mrozek
2024	C	`conf`	Towards an Effective Tool Wear Monitoring System with an AI Model Management Platform. INDIN Jian Wen Chen, Meng-Shiun Tsai, Che-Lun Hung
2023	—	`conf`	Macular Holes Detection Using Deep Learning on Optical Coherence Tomography Images. BIBM Che-Lun Hung, Keng-Hung Lin, Yu-Kai Lee, ChunHsien Lin, Yin-Te Tsai
2022	—	`conf`	Fatty Liver Diagnosis Using Deep Learning in Ultrasound Image. ICDH Chun-Hsien Wu, Che-Lun Hung, Teng-Yu Lee, Chun-Ying Wu, William Cheng-Chung Chu
2021	J	`jnl`	Special issue on recent advances in data science and systems. Expert Syst. J. Knowl. Eng. Longzhi Yang, Jia Hu, Che-Lun Hung
2020	—	`conf`	GPU-Based Texture Analysis approach for Mammograms Institute of Biomedical Informatics. BIBM Che-Lun Hung, Chun-Yuan Lin
2019	—	`conf`	A Review of Deep Learning in Computer-Aided Drug Design. BIBM Chih-Hung Chang, Che-Lun Hung, Chuan Yi Tang
2019	—	`conf`	Optimization of GPU Memory Usage for Training Deep Neural Networks. I-SPAN Che-Lun Hung, Chine-fu Hsin, Hsiao-Hsi Wang, Chuan Yi Tang
2018	—	`conf`	A Deep Learning Models for Blind Guidance by Integrating CNN and ELM. HPCC/SmartCity/DSS Hsin-Yi Tsai, Hanyu Zhang, Che-Lun Hung, Fang-Rong Hsu
2018	—	`conf`	A GPU-based Bit-Parallel Multiple Pattern Matching Algorithm. HPCC/SmartCity/DSS Che-Lun Hung, Tzu-Hung Hsu, Hsiao-Hsi Wang, Chun-Yuan Lin
2018	J	`jnl`	A multi-layer information dispersal based encryption algorithm and its application for access control. Sustain. Comput. Informatics Syst. Quan Qian, Zhi-ting Yu, Rui Zhang, Che-Lun Hung
2018	—	`conf`	Chronic Kidney Disease Survival Prediction with Artificial Neural Networks. BIBM Hanyu Zhang, Che-Lun Hung, William Cheng-Chung Chu, Ping-Fang Chiu, Chuan Yi Tang
2018	—	`conf`	Improvement of Accuracy of Well-Known Convoluational Neural Networks by Efficient Hybrid Strategy. I-SPAN Ren-You Yan, Che-Lun Hung, Chun-Yuan Lin, Hsiao-Hsi Wang
2018	C	`conf`	Performance of Convolution Neural Network based on Multiple GPUs with Different Data Communication Models. SNPD Che-Lun Hung, Yi-Yang Lin, Chuan Yi Tang, Chilung Wang, Ming-Chiang Chen
2018	—	`conf`	Using Deep Learning to Identify Cell and Particle in Live-Cell Time-lapse Images. BIBM Hui-Jun Cheng, Chun-Yuan Lin, Cheng-Xian Wu, Che-Lun Hung, Wei-Hsiang Chen, Chuan Yi Tang
2017	—	`conf`	A Supervised Hybrid Classifier for Brain Tissues and White Matter Lesions on Multispectral MRI. ISPAN-FCST-ISCC Hsian-Min Chen, Hsin Che Wang, Yung-Chieh Chang, Jyh Wen Chai, Clayton Chi-Chang Chen, Che-Lun Hung, Chein-I Chang
2017	J	`jnl`	An Efficient GPU-Based Multiple Pattern Matching Algorithm for Packet Filtering. J. Signal Process. Syst. Che-Lun Hung, Chun-Yuan Lin, Po-Chang Wu
2017	—	`conf`	Bioinformatics tools with deep learning based on GPU. BIBM Che-Lun Hung, Chuan Yi Tang
2017	—	`conf`	Cloud Computing Model for Analyzing Antibiotic Usage from the National Health Insurance Research Database. ISPAN-FCST-ISCC Che-Lun Hung, Ching-Heng Lin, Sheng-Ya Lu, Yi-Chia Kao, Li-Ying Li
2017	J	`jnl`	Compressing three-dimensional sparse arrays using inter- and intra-task parallelization strategies on Intel Xeon and Xeon Phi. J. Supercomput. Chun-Yuan Lin, Huang Ting Yen, Che-Lun Hung
2017	J	`jnl`	Embedded multi-core computing and applications. J. Supercomput. Che-Lun Hung, Frédéric Magoulès, Meikang Qiu, Robert C. Hsu, Chun-Yuan Lin
2017	J	`jnl`	GPU-Accelerated Features Extraction From Magnetic Resonance Images. IEEE Access Hsin-Yi Tsai, Hanyu Zhang, Che-Lun Hung, Geyong Min
2017	—	`conf`	GPU-based Gray-Level Co-occurrence Matrix for Extracting Features from Magnetic Resonance Images. ISPAN-FCST-ISCC Hsin-Yi Tsai, Hanyu Zhang, Che-Lun Hung, Hsian-Min Chen
2017	—	`conf`	Multi-level Grid Based Clustering and GPU Parallel Implementations. ISPAN-FCST-ISCC Quan Qian, Shuai Zhao, Chao-Jie Xiao, Che-Lun Hung
2017	J	`jnl`	Parallel genetic-based algorithm on multiple embedded graphic processing units for brain magnetic resonance imaging segmentation. Comput. Electr. Eng. Che-Lun Hung, Yuan-Huai Wu
2016	J	`jnl`	A simple algorithm for identifying integrons and gene cassettes in bacteria on next generation sequencing data. Int. J. Data Min. Bioinform. Guan-Jie Hua, Che-Lun Hung, Chuan Yi Tang, Huiru Zheng
2016	J	`jnl`	Efficient bit-parallel subcircuit extraction using CUDA. Concurr. Comput. Pract. Exp. Che-Lun Hung, Chun-Yuan Lin, Chia Shin Ou, Yuan-Hong Tseng, Po-Yen Hung, Shipeng Li, Chun Ting Fu
2016	—	`conf`	Efficient parallel UPGMA algorithm based on multiple GPUs. BIBM Che-Lun Hung, Chun-Yuan Lin, Fu-Che Wu, Yu-Wei Chan
2016	J	`jnl`	Efficient parallelised search engine based on virtual cluster. Int. J. Comput. Sci. Eng. Che-Lun Hung, Chun-Yuan Lin
2016	J	`jnl`	Embedded multicore computing and applications. Concurr. Comput. Pract. Exp. Frédéric Magoulès, Che-Lun Hung, Hai Jiang, Jia Hu
2016	J	`jnl`	GPU-based parallel fuzzy c-mean clustering model via genetic algorithm. Concurr. Comput. Pract. Exp. Che-Lun Hung, Yuan-Huai Wu
2016	C	`conf`	Parallel image dehazing algorithm based on GPU using fuzzy system and hybird evolution algorithm. SNPD Che-Lun Hung, Ren-You Yan, Hsiao-Hsi Wang
2015	J	`jnl`	CUDA ClustalW: An efficient parallel algorithm for progressive multiple sequence alignment on Multi-GPUs. Comput. Biol. Chem. Che-Lun Hung, Yu-Shiang Lin, Chun-Yuan Lin, Yeh-Ching Chung, Yi-Fang Chung
2015	—	`conf`	Cloud computing service framework for bioinformatics tools. BIBM Guan-Jie Hua, Chuan Yi Tang, Che-Lun Hung, Yaw-Ling Lin
2015	J	`jnl`	Constructing a Bioinformatics Platform with Web and Mobile Services Based on NVIDIA Jetson TK1. Int. J. Grid High Perform. Comput. Chun-Yuan Lin, Jin Ye, Che-Lun Hung, Chung-Hung Wang, Min Su, Jianjun Tan
2015	—	`conf`	Constructing a Mobility and Acceleration Computing Platform with NVIDIA Jetson TK1. HPCC/CSS/ICESS Min Su, Jianjun Tan, Chun-Yuan Lin, Jin Ye, Chung-Hung Wang, Che-Lun Hung
2015	—	`conf`	Efficient Brain MRI Segmentation Algorithm on TK1. CIT/IUCC/DASC/PICom Che-Lun Hung, Chun-Yuan Lin, Yuan-Huai Wu, Hsiao-Hsi Wang, Yu-Chen Hu
2015	—	`conf`	Efficient Parallel Muti-pattern Matching Using GPGPU Acceleration for Packet Filtering. HPCC/CSS/ICESS Che-Lun Hung, Po-Chang Wu, Hsiao-Hsi Wang, Chun-Yuan Lin
2015	—	`conf`	Efficient Strategies of Compressing Three-Dimensional Sparse Arrays Based on Intel XEON and Intel XEON Phi Environments. CIT/IUCC/DASC/PICom Chun-Yuan Lin, Huang Ting Yen, Che-Lun Hung
2015	J	`jnl`	GPU-UPGMA: high-performance computing for UPGMA algorithm based on graphics processing units. Concurr. Comput. Pract. Exp. Yu-Shiang Lin, Chun-Yuan Lin, Che-Lun Hung, Yeh-Ching Chung, Kual-Zheng Lee
2015	J	`jnl`	High Performance Datafly based Anonymity Algorithm and Its L-Diversity. Int. J. Grid High Perform. Comput. Zhi-ting Yu, Quan Qian, Chun-Yuan Lin, Che-Lun Hung
2015	—	`conf`	Innovative approach for porting existing CPU program to its CUDA program. BIBM Yu Liu, Yang Hong, Chung-Hung Wang, Sheng-Ta Lee, Chun-Yuan Lin, Che-Lun Hung
2014	J	`jnl`	An efficient parallel-network packet pattern-matching approach using GPUs. J. Syst. Archit. Che-Lun Hung, Chun-Yuan Lin, Hsiao-Hsi Wang
2014	—	`conf`	Drug resistance gene identification algorithm for next-generation sequencing data. BIBM Guan-Jie Hua, Chuan Yi Tang, Che-Lun Hung, Huiru Zheng
2014	—	`conf`	Efficient parallel algorithm for compound comparisons on multi-GPUs. BIBM Chun-Yuan Lin, Chung-Hung Wang, Che-Lun Hung, Yu-Shiang Lin
2014	J	`jnl`	Fast Parallel Network Packet Filter System based on CUDA. Int. J. Networked Distributed Comput. Che-Lun Hung, Shih-Wei Guo
2014	J	`jnl`	Frequency-based re-sequencing tool for short reads on graphics processing units. Int. J. Comput. Sci. Eng. Chun-Yuan Lin, Sheng-Ta Li, Che-Lun Hung
2014	—	`conf`	Parallel Subcircuit Extraction Algorithm on GPGPUs. HPCC/CSS/ICESS Che-Lun Hung, Hsiao-Hsi Wang, Chun Ting Fu, Chia Shin Ou
2014	C	`conf`	Parallel botnet detection system by using GPU. ICIS Che-Lun Hung, Hsiao-Hsi Wang
2013	—	`conf`	A Novel Human-Computer Interface for Browsing Web Data by Leaping Up Web Pages. HCI (13) Che-Lun Hung, Cherng Chin, Chen-Chun Lai, Ho Cheung Cheung
2013	—	`conf`	Efficient GPU-Based Algorithm for Aligning Huge Sequence Database. HPCC/EUC Chun-Yuan Lin, Che-Lun Hung, Jen-Cheng Huang
2013	C	`conf`	Preference Utility algorithm using GPGPU architecture. ICIS Che-Lun Hung, Hsiao-Hsi Wang, Jieh-Shan Yeh, Yu-Chen Hu, Chun-Yuan Lin, Yaw-Ling Lin
2012	C	`conf`	Cloud service of analyzing virus data: A case study for Norovirus. CloudCom Che-Lun Hung, Chun-Yuan Lin
2012	—	`conf`	Efficient Packet Pattern Matching for Gigabit Network Intrusion Detection Using GPUs. HPCC-ICESS Che-Lun Hung, Chun-Yuan Lin, Hsiao-Hsi Wang, Chin-Yuan Chang
2012	C	`conf`	Efficient protein structure alignment algorithms under the MapReduce framework. CloudCom Che-Lun Hung, Yaw-Ling Lin, Chen-En Hsieh, Guan-Jie Hua
2012	—	`conf`	Parallel UPGMA Algorithm on Graphics Processing Units Using CUDA. HPCC-ICESS Yu-Rong Chen, Che-Lun Hung, Yu-Shiang Lin, Chun-Yuan Lin, Tien-Lin Lee, Kual-Zheng Lee
2012	C	`conf`	Using frequency distance filteration for reducing database search workload on GPU-based cloud service. CloudCom Sheng-Ta Lee, Chun-Yuan Lin, Che-Lun Hung, Hsuan Ying Huang
2011	C	`ed.`	13th IEEE International Conference on High Performance Computing & Communication, HPCC 2011, Banff, Alberta, Canada, September 2-4, 2011 HPCC Parimala Thulasiraman, Laurence Tianruo Yang, Qiwen Pan, Xingang Liu, Yaw-Chung Chen, Yo-Ping Huang, Lin-Huang Chang, Che-Lun Hung, Che-Rung Lee, Justin Y. Shi, Ying Zhang
2011	C	`conf`	CUDA-FRESCO: Frequency-Based RE-Sequencing Tool Based on CO-clustering Segmentation by GPU. HPCC Chun-Yuan Lin, Chuan Yi Tang, Sheng-Ta Li, Yaw-Ling Lin, Che-Lun Hung
2011	—	`conf`	CloudTSS: A TagSNP Selection Approach on Cloud Computing. FGIT-GDC Che-Lun Hung, Yaw-Ling Lin, Guan-Jie Hua, Yu-Chen Hu
2011	B	`conf`	Efficient GPGPU-Based Parallel Packet Classification. TrustCom Che-Lun Hung, Yaw-Ling Lin, Kuan-Ching Li, Hsiao-Hsi Wang, Shih-Wei Guo
2011	J	`jnl`	Multiple genome sequences alignment algorithm based on coding regions. Int. J. Comput. Biol. Drug Des. Che-Lun Hung, Chun-Yuan Lin, Shih-Cheng Chang, Yeh-Ching Chung, Shu Ju Hsieh, Chuan Yi Tang, Yaw-Ling Lin
2011	—	`conf`	UNION: An Efficient Mapping Tool Using UniMark with Non-overlapping Interval Indexing Strategy. FGIT-DTA/BSBT Che-Lun Hung, Chun-Yuan Lin, Yu-Chen Hu
2010	—	`conf`	CORAL-M: Heuristic coding region alignment method for multiple genome sequences. BIBM Workshops Che-Lun Hung, Chun-Yuan Lin, Shih-Cheng Chang, Yeh-Ching Chung, Shu Ju Hsieh, Chuan Yi Tang, Yaw-Ling Lin
2009	—	`conf`	A Parallel Algorithm for Three-Profile Alignment Method. IJCBS Che-Lun Hung, Chun-Yuan Lin, Yeh-Ching Chung, Chuan Yi Tang
2008	—	`conf`	Introducing Variable Gap Penalties into Three-Sequence Alignment for Protein Sequences. AINA Workshops Che-Lun Hung, Chun-Yuan Lin, Yeh-Ching Chung, Chuan Yi Tang
2006	C	`conf`	A Novel Mining Algorithm for Periodic Clustering Sequential Patterns. IEA/AIE Che-Lun Hung, Don-Lin Yang, Yeh-Ching Chung, Ming-Chuan Hung