{"id":15957,"date":"2021-10-21T00:40:21","date_gmt":"2021-10-21T00:40:21","guid":{"rendered":"https:\/\/www.cheeridea.mytw.org\/bmi\/%e6%b4%aa%e5%93%b2%e5%80%ab-che-lun-hung\/"},"modified":"2022-06-29T09:20:10","modified_gmt":"2022-06-29T09:20:10","slug":"che-lun-hung","status":"publish","type":"post","link":"https:\/\/bmi.nycu.edu.tw\/en\/che-lun-hung\/","title":{"rendered":"Che-Lun Hung"},"content":{"rendered":"\n\n\n\n\n\n\n\n
\n

Personal Profile<\/h3>\n<\/td>\n<\/tr>\n

\"\"<\/td>\nChe-Lun Hung<\/strong>
\nProfessor, Institute of Biomedical Informatics
\nPhD of Computer Science, National Tsing Hua University, Taiwan
\nField of Interest: Smart Medicine, Deep Learning, Medical Image Analysis, Bioinformatics Computing, High Performance Computing
\nOffice: R327-2, 3F, SoRen Building
\nPhone: 886-2-28267349
\nEmail: clhung@nycu.edu.tw<\/td>\n<\/tr>\n
\n

Research Interests<\/h3>\n<\/td>\n<\/tr>\n

\n
    \n
  • \u7814\u7a76\u8208\u8da3 (Research Interests)\uff1a\n
      \n
    • \u667a\u6167\u91ab\u7642(Smart Medicine)<\/li>\n
    • \u6df1\u5ea6\u5b78\u7fd2(Deep Learning<\/span>)<\/li>\n
    • \u91ab\u5b78\u5f71\u50cf\u5206\u6790(Medical Image Analysis<\/span>)<\/li>\n
    • \u751f\u7269\u8cc7\u8a0a\u8a08\u7b97(Bioinformatics Computing)<\/li>\n
    • \u9ad8\u6548\u80fd\u8a08\u7b97(High Performance Computing)<\/li>\n<\/ul>\n<\/li>\n
    • \u4ee3\u8868\u6027\u69ae\u8b7d (Representative honors)\uff1a\n
        \n
      • 2019-2014\u5e74 \u9678\u7e8c\u64d4\u4efbIEEE\u570b\u969b\u6703\u8b70\u7684Program Member<\/li>\n
      • 2019-2014\u5e74 \u5728\u56fa\u5b9a\u8207IEEE\u6703\u8b70\u5171\u540c\u8209\u8fa6International Workshop on Embedded Multi-Core computing and Applications\uff0c\u64d4\u4efbworkshop chair<\/li>\n
      • 2017\u5e74\u00a0\u64d4\u4efbInternational Conference on Smart Data (SmartData-2017)\u7684Program Chair<\/li>\n<\/ul>\n<\/li>\n
      • \u4ee3\u8868\u6027\u5c08\u5229 (Representative Patents)\uff1a\n
          \n
        • Method and manager physical machine for virtual machine consolidat ion\u00a0 \u00a0 \u00a02014\/06<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n
\n

Publications<\/h3>\n<\/td>\n<\/tr>\n

\n
    \n
  • \u4e94\u5e74\u5167\u4ee3\u8868\u6027\u671f\u520a\u8ad6\u6587 (Representative Papers)\uff1a<\/strong>\n
      \n
    • Hanyu Zhang,\u00a0Che-Lun Hung*<\/strong>, Meiyuan Liu, Xiaoye Hu, Yi-Yang Lin (2019, May). NCNet: Deep Learning Network Models for Predicting Function of Non-Coding DNA. Frontiers in Genetics.<\/li>\n
    • Wan-Ju Lin, Shih-Hsuan Lo, Hong-Tsu Young,\u00a0Che-Lun Hung*<\/strong>\u00a0(2019, Apr). Evaluation of Deep Learning Neural Networks for Surface Roughness Prediction Using Vibration Signal Analysis. Applied Sciences-Basel, 9(7), 1462.<\/li>\n
    • Quan Qian, Zhi-ting Yu, Rui Zhang,\u00a0Che-Lun Hung*<\/strong>\u00a0(2018, Dec). A multi-layer information dispersal based encryption algorithm and its application for access control. Sustainable Computing: Informatics and Systems , 20, 76-87.<\/li>\n
    • Guan-Jie Hua,\u00a0Che-Lun Hung*<\/strong>, Chuan Yi Tang (2018, Jan). Hadoop-MCC: Efficient Multiple Compound Comparison Algorithm Using Hadoop. Combinatorial Chemistry & High Throughput Screening, 21(2), 84-92.<\/li>\n
    • Guan-Jie Hua,\u00a0Che-Lun Hung*<\/strong>, Chun-Yuan Lin, Fu-Che Wu, Yu-Wei Chan, Chuan Yi Tang (2017, Oct). MGUPGMA: A Fast UPGMA Algorithm With Multiple Graphics Processing Units Using NCCL. Evolutionary Bioinformatics, 13: 1-7.<\/li>\n
    • Hsin-Yi Tsai, Hanyu Zhang,\u00a0Che-Lun Hung*<\/strong>, Geyong Min (2017, Sep). GPU-accelerated Features Extraction from Magnetic Resonance Images. IEEE Access, 22634-22646.<\/li>\n
    • Che-Lun Hung*<\/strong>, Fr\u00e9d\u00e9ric Magoul\u00e8s, Meikang Qiu, Robert C. Hsu, Chun-Yuan Lin (2017, Aug). Embedded multi-core computing and applications. The Journal of Supercomputing, 73(8), 3327\u20133332.<\/li>\n
    • Che-Lun Hung<\/strong>*<\/span><\/strong>, Chun-Yuan Lin, Po-Chang Wu (2017, Mar). An Efficient GPU-Based Multiple Pattern Matching Algorithm for Packet Filtering. Journal of Signal Processing Systems, 86(2), 347-358.<\/li>\n
    • Che-Lun Hung*<\/strong>, Yuan-Huai Wu (2016, Dec). GPU-based parallel fuzzy c-mean clustering model via genetic algorithm. Concurrency and Computation: Practice and Experience, 28(16): 4277\u20134290, 2016.<\/li>\n
    • Che-Lun Hung*<\/strong>, Yuan-Huai Wu (2016, Sep). Parallel genetic-based algorithm on multiple embedded graphic processing units for brain magnetic resonance imaging segmentation. Computers & Electrical Engineering, 61: 373\u2013383, 2016.<\/li>\n
    • Chun-Yuan Lin, Huang Ting Yen,\u00a0Che-Lun Hung*\u00a0<\/strong>(2016, Apr). Compressing three-dimensional sparse arrays using inter-and intra-task parallelization strategies on Intel Xeon and Xeon Phi. The Journal of Supercomputing, 1-20.<\/li>\n
    • Joe-Air Jiang, Chien-Hao Wang, Min-Sheng Liao, Xiang-Yao Zheng, Jen-Hao Liu, Cheng-Long Chuang,\u00a0Che-Lun Hung*<\/span><\/strong>, Chia-Pang Chen (2016, Apr). A wireless sensor network-based monitoring system with dynamic convergecast tree algorithm for precision cultivation management in orchid greenhouses. Precision Agriculture, 1-12.<\/li>\n
    • Guan-Jie Hua,\u00a0Che-Lun Hung*<\/strong>, Chuan Yi Tang, Huiru Zheng (2015, Dec). A simple algorithm for identifying integrons and gene cassettes in bacteria on next generation sequencing data. International Journal of Data Mining and Bioinformatics, 14(1).<\/li>\n
    • Che-Lun Hung*<\/span><\/strong>, Yu-Shiang Lin, Chun-Yuan Lin, Yeh-Ching Chung, Yi-Fang Chung (2015, Oct). CUDA ClustalW: An efficient parallel algorithm for progressive multiple sequence alignment on Multi-GPUs. Computational Biology and Chemistry, 58, 62-68.<\/li>\n
    • Chun-Yuan Lin, Chung-Hung Wang,\u00a0Che-Lun Hung*<\/strong>, Yu-Shiang Lin (2015, Sep). Accelerating Multiple Compound Comparison Using LINGO-Based Load-Balancing Strategies on Multi-GPUs. International journal of genomics, 2015.<\/li>\n
    • Yu-Ling Lin, Kai-Fu Chang, Xiao-Fan Huang,\u00a0Che-Lun Hung*<\/span><\/strong>, Shyh-Chang Chen, Wan-Ru Chao, Kuang-Wen Liao, Nu-Man Tsai (2015, Sep). Liposomal n-butylidenephthalide protects the drug from oxidation and enhances its antitumor effects in glioblastoma multiforme. International journal of nanomedicine, 10(1), 6009\u20146020.<\/li>\n
    • Daniel Bennett,\u00a0Che-Lun Hung*<\/span><\/strong>, Tsai-Ling Lauderdale (2015, Jun). Health Care Competition and Antibiotic Use in Taiwan. Journal of Industrial Economics, 13, 371-393.<\/li>\n
    • Che-Lun Hung*<\/strong>, Wen-Pei Chen, Guan-Jie Hua, Huiru Zheng, Suh-Jen Jane Tsai, Yaw-Ling Lin (2015, Jan). Cloud Computing-Based TagSNP Selection Algorithm for Human Genome Data. International journal of molecular sciences, 16(1), 1096-1110.<\/li>\n
    • Yu-Chen Hu, I-Cheng Chang, Kuo-Yu Liu,Che-Lun Hung*<\/span><\/strong>\u00a0(2014, Sep). Improved color image coding schemes based on single bit map block truncation coding. Optical Engineering, 53(9), 093104.<\/li>\n
    • Yu-Shiang Lin, Chun-Yuan Lin,\u00a0Che-Lun Hung*\u00a0<\/strong>(2014, Aug). GPU-UPGMA: high-performance computing for UPGMA algorithm based on graphics processing units. Concurrency and Computation: Practice and Experience.<\/li>\n
    • Che-Lun Hung*<\/strong>, Chi-Chun Chen (2014, Jul). Computational Approaches for Drug Discovery. DRUG DEVELOPMENT RESEARCH, 75, 412\u2013418.<\/li>\n
    • Che-Lun Hung*<\/span><\/strong>, Chun-Yuan Lin, Hsiao-Hsi Wang (2014, May). An Efficient Parallel-Network Packet Pattern-Matching Approach Using GPUs. Journal of Systems Architecture, 60(5), 431\u2013439.<\/li>\n
    • Che-Lun Hung*<\/span><\/strong>, Guan-Jie Hua (2014, May). Local Alignment Tool Based on Hadoop Framework and GPU Architecture. BioMed Research International.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

      Personal Profile Che-Lun Hung Professor, Institute of Biomedical Informatics PhD of Computer Science, National Tsing Hua University, Taiwan Field of Interest: Smart Medicine, Deep Learning, Medical Image Analysis, Bioinformatics Computing, High Performance Computing Office: R327-2, 3F, SoRen Building Phone: 886-2-28267349 Email: clhung@nycu.edu.tw Research Interests \u7814\u7a76\u8208\u8da3 (Research Interests)\uff1a \u667a\u6167\u91ab\u7642(Smart Medicine) \u6df1\u5ea6\u5b78\u7fd2(Deep Learning) \u91ab\u5b78\u5f71\u50cf\u5206\u6790(Medical Image Analysis) \u751f\u7269\u8cc7\u8a0a\u8a08\u7b97(Bioinformatics..<\/p>\n","protected":false},"author":1,"featured_media":15097,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[30],"tags":[],"class_list":["post-15957","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category--en"],"yoast_head":"\nChe-Lun Hung - \u570b\u7acb\u967d\u660e\u4ea4\u901a\u5927\u5b78 \u751f\u7269\u91ab\u5b78\u8cc7\u8a0a\u7814\u7a76\u6240<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/bmi.nycu.edu.tw\/en\/che-lun-hung\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Che-Lun Hung - 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