{"id":91,"date":"2025-03-26T11:31:32","date_gmt":"2025-03-26T03:31:32","guid":{"rendered":"http:\/\/134.208.11.18\/?page_id=91"},"modified":"2026-05-10T19:57:23","modified_gmt":"2026-05-10T11:57:23","slug":"%e6%8c%87%e5%b0%8e%e6%95%99%e6%8e%88","status":"publish","type":"page","link":"https:\/\/dc.ndhu.edu.tw\/?page_id=91","title":{"rendered":"\u6307\u5c0e\u6559\u6388"},"content":{"rendered":"\t\t
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\u5289\u82f1\u548c (Ying-Ho Liu)<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Professor
Dept. of Information Management, NDHU
email: daxliu@gms.ndnu.edu.tw<\/a>
tel: +886-3-8903116<\/h2>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Research Interests<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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  • Data mining<\/h3><\/li>

  • Machine learning<\/h3><\/li>

  • Big data analysis<\/h3><\/li>

  • Large Language Model<\/h3><\/li>

  • Artificial Intelligence<\/h3><\/li>

  • Deep Learning<\/h3><\/li>

  • Pattern recognition<\/h3><\/li><\/ul><\/div><\/div><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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    Education<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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    • PhD, Information Management, National Taiwan University, Taipei, Taiwan<\/h3><\/li>

    • Master, Information Management, National Taiwan University, Taipei, Taiwan<\/h3><\/li>

    • Bachelor, Information Management, National Taiwan University, Taipei, Taiwan<\/h3><\/li><\/ul><\/div><\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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      Selected publications<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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      Journal papers<\/h3>

      1. Ying-Ho Liu* and Yu-Xiang Hong, \u201cPredict rising stars in sports: An example of NBA players,\u201d Journal of Internet Technology, Vol.27, No.1, pp.15-21, January 2026. (SCI)<\/h3><\/li>

      2. Christine Chou*, Ying-Ho Liu and Kuo-Pin Yang, \u201cImpacts of strategic exploitation and exploration on firms\u2019 survival likelihood after crises: A decision-tree analysis,\u201d Long Range Planning, Vol.57, pp.102374, February 2024. (SSCI)<\/h3><\/li>

      3. Ying-Ho Liu* and Chia-Yu Kuo, \u201cSiMAIM: Identifying Sockpuppets and Puppetmasters on a Single Forum-Oriented Social Media Site,\u201d Journal of Supercomputing, Vol.79, pp.18667-18698, May 2023. (SCI)<\/h3><\/li>

      4. Kuo-Hui Yeh, Guan-Yan Yang, Chanapha Butpheng, Lin-Fa Lee and Ying-Ho Liu*, \u201cA Secure Interoperability Management Scheme for Cross-Blockchain Transactions,\u201d Symmetry, Vol.14, pp.2473, November 2022. (SCI)<\/h3><\/li>

      5. Ying-Ho Liu* and Huei-Yu Fan, \u201cClassifying univariate uncertain data,\u201d Applied Intelligence, pp.1-31, April 2021. (SCI)<\/h3><\/li>

      6. Ying-Ho Liu*, \u201cGenerating Summaries for Frequent Univariate Uncertain Pattern,\u201d NTU Management Review, Vol.27, No.2S, pp.29-62, March 2017. (TSSCI)<\/h3><\/li>

      7. Ying-Ho Liu*, \u201cMining Time-interval Univariate Uncertain Sequential Patterns,\u201d Data & Knowledge Engineering, Vol.100, pp.54-77, November 2015. (SCI)<\/h3><\/li>

      8. Ying-Ho Liu*, \u201cMining Maximal Frequent U2 Patterns from Univariate Uncertain Data,\u201d\u00a0 Intelligent Data Analysis, Vol.18, pp.653-676, June 2014. (SCI)<\/h3><\/li>

      9. Chun-Sheng Wang *, Ying-Ho Liu and Kuo-Chung Chu , \u201cClosed Inter-Sequence Pattern Mining,\u201d Journal of Systems and Software, Vol.86, No.6, pp.1603-1612, June 2013. (SCI)<\/h3><\/li>

      10. Ying-Ho Liu * and Chun-Sheng Wang ,\u00a0 Constrained Frequent Pattern Mining on Univariate Uncertain Data,\u201d Journal of Systems and Software, Vol.86, No.3, pp.759-778, March 2013. (SCI)<\/h3><\/li>

      11. Ying-Ho Liu*, \u201cStream Mining on Univariate Uncertain Data,\u201d Applied Intelligence, Vol.39, No.2, pp.315-344, February 2013. (SCI)<\/h3><\/li>

      12. Ying-Ho Liu *, Anthony J.T. Lee and Fu Chang, \u201cObject Recognition Using Discriminative Parts,\u201d Computer Vision and Image Understanding, Vol.116, No.7, pp.854-867, July 2012. (SCI)<\/h3><\/li>

      13. Ying-Ho Liu*, \u201cMining Frequent Patterns from Univariate Uncertain Data,\u201dData & Knowledge Engineering,Vol.71, No.1, pp.47-68, January 2012. (SCI)<\/h3><\/li>

      14. Wen-Kwang Tsao, Anthony J.T. Lee*, Ying-Ho Liu, Ting-Wei Chang andHsiu-Hui Lin, \u201cA Data Mining Approachto Face Detection,\u201d Pattern Recognition,\u201d Pattern Recognition, Vol.43, No.3, pp.1039-1049, March 2010. (SCI)<\/h3><\/li>

      15. Anthony J.T. Lee*, Huei-Wen Wu , Tzu-Yu Lee, Ying-Ho Liu and Kuo-Tay Chen, \u201cMining Closed Patterns in Multi-sequence Time-series Databases,\u201d Data & Knowledge Engineering, Vol.68, No.10, pp.1071-1090, October 2009. (SCI)<\/h3><\/li>

      16. Anthony J.T. Lee*, Ying-Ho Liu, Hsin-Mu Tsai, Hsiu-Hui Lin and Huei-Wen Wu, \u201cMining Frequent Patterns in Image Databases with 9D-SPA Representation,\u201d Journal of Systems and Software, Vol.82, No.4, pp.603-618, April 2009. (SCI)<\/h3><\/li>

      17. Ying-Ho Liu, Chin-Chin Lin, Wen-Hsiung Lin and Fu Chang*, \u201cAccelerating Feature-Vector Matching Using Multiple-Tree and Sub-Vector Methods,\u201d Pattern Recognition, Vol.40, No.9, pp.2392-2399, September 2007. (SCI)<\/h3><\/li>

      18. Chien-Hsing Chou, Chin-Chin Lin, Ying-Ho Liu and Fu Chang*, \u201cA Prototype Classification Method and Its Use in a Hybrid Solution for Multiclass Pattern Recognition,\u201d Pattern Recognition, Vol.39, No.4, pp.624-634, June 2006. (SCI)<\/h3><\/li><\/ol><\/div><\/div><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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        Conference papers<\/h3>

        1. \u5289\u82f1\u548c* \u548c \u674e\u627f\u6fa4\uff0c \u3008\u4ee5\u5f71\u50cf\u63cf\u8ff0\u5b50\u5efa\u7acb\u771f\u5047\u4eba\u81c9\u8fa8\u5225\u6a21\u578b\u3009 \u300a\u570b\u969b\u8cc7\u8a0a\u7ba1\u7406\u5b78\u8853\u7814\u8a0e\u6703\u300b\uff0c \u81fa\u7063\uff0c \u65b0\u5317\u5e02\uff0c 2025\u5e74\u4e94\u670816\u65e5\u3002<\/strong><\/h3><\/li>

        2. \u5289\u82f1\u548c* \u548c \u8a31\u5bb9\u798e\uff0c \u3008\u7d50\u5408\u5168\u57df\u8207\u5c40\u90e8\u7279\u5fb5\u7684\u5716\u795e\u7d93\u7db2\u8def\u6a21\u578b\u65bc\u97f3\u6a02\u793e\u4ea4\u7db2\u8def\u4e4b\u6027\u5225\u9810\u6e2c\u7814\u7a76\u3009 \u300a\u570b\u969b\u8cc7\u8a0a\u7ba1\u7406\u5b78\u8853\u7814\u8a0e\u6703\u300b\uff0c \u81fa\u7063\uff0c \u65b0\u5317\u5e02\uff0c 2025\u5e74\u4e94\u670816\u65e5\u3002<\/strong><\/h3><\/li>

        3. \u5289\u82f1\u548c* \u548c \u9673\u66c4\u7b60\uff0c \u3008\u4ee5\u6a5f\u5668\u5b78\u7fd2\u6f14\u7b97\u6cd5\u9810\u6e2c\u767c\u751f\u8ca1\u52d9\u5371\u6a5f\u7684\u516c\u53f8\u662f\u5426\u6703\u4e0b\u5e02\u6216\u4e0b\u6ac3\u3009 \u300a\u570b\u969b\u8cc7\u8a0a\u7ba1\u7406\u5b78\u8853\u7814\u8a0e\u6703\u300b\uff0c \u81fa\u7063\uff0c \u65b0\u5317\u5e02\uff0c 2025\u5e74\u4e94\u670816\u65e5\u3002<\/strong><\/h3><\/li>

        4. \u5289\u82f1\u548c* \u548c \u5f35\u6c76\u7dba\uff0c \u3008\u7d50\u5408\u8a55\u8ad6\u6458\u8981\u7279\u5fb5\u8207\u7570\u69cb\u5716\u795e\u7d93\u7db2\u8def\u4e4b\u98ef\u5e97\u63a8\u85a6\u65b9\u6cd5\uff1a\u4ee5Yelp\u8cc7\u6599\u96c6\u70ba\u4f8b \u3009 \u300a\u53f0\u7063\u7ba1\u7406\u5b78\u520a\u5b78\u8853\u8ad6\u6587\u7814\u8a0e\u6703\u300b\uff0c \u81fa\u7063\uff0c \u53f0\u4e2d\uff0c 2023\u5e74\u5341\u670820\u65e5\u3002<\/strong><\/h3><\/li>

        5. \u5289\u82f1\u548c* \u548c \u9ec3\u6c9b\u6db5\uff0c \u3008\u7d50\u5408\u5929\u6c23\u3001\u4e8b\u4ef6\u8207\u7570\u8cea\u5716\u795e\u7d93\u7db2\u8def\u7684\u8eca\u901f\u9810\u6e2c\u7814\u7a76\u3009 \u300a\u53f0\u7063\u7ba1\u7406\u5b78\u520a\u5b78\u8853\u8ad6\u6587\u7814\u8a0e\u6703\u300b\uff0c \u81fa\u7063\uff0c \u53f0\u4e2d\uff0c 2023\u5e74\u5341\u670820\u65e5\u3002<\/strong><\/h3><\/li>

        6. \u5289\u82f1\u548c \u548c \u6d2a\u923a\u7fd4*\uff0c \u3008\u4f7f\u7528\u57fa\u65bcTwitter\u8a55\u8ad6\u4e4b\u60c5\u611f\u5206\u6790\u4ee5\u9810\u6e2c NBA\u5f8c\u8d77\u4e4b\u79c0\u3009 \u300a\u6578\u4f4d\u8f49\u578b\u570b\u969b\u7814\u8a0e\u6703\u300b\uff0c \u81fa\u7063\uff0c \u53f0\u5317\uff0c 2022\u5e74\u5341\u670815\u65e5\u3002<\/strong><\/h3><\/li>

        7. Liu Ying-Ho and Ngo Thi Diem Thuy*, \u201cUsing Weather Data Based on a Sliding 2D CNN-LSTM Model to Predict Drug Consumption,\u201d \u7ba1\u7406\u3001\u7d93\u6fdf\u8207\u8ca1\u91d1\u570b\u969b\u806f\u5408\u5b78\u8853\u7814\u8a0e\u6703, \u5357\u6295, Taiwan, July 2, 2022. (Best paper award) <\/strong><\/h3><\/li>

        8. \u5289\u82f1\u548c \u548c \u5b8b\u5f8b\u5ef7*\uff0c \u3008\u57fa\u65bc\u6df1\u5ea6\u5b78\u7fd2\u6280\u8853\u4ee5\u60c5\u7dd2\u5716\u7247\u9810\u6e2c\u60c5\u7dd2\u8166 \u6ce2\u4e4b\u7814\u7a76\u3009 \u300a\u7ba1\u7406\u3001\u7d93\u6fdf\u8207\u8ca1\u91d1\u570b\u969b\u806f\u5408\u5b78\u8853\u7814\u8a0e\u6703\u300b\uff0c \u81fa\u7063\uff0c \u5357\u6295\uff0c 2022\u5e74\u4e03\u67082\u65e5\u3002<\/strong><\/h3><\/li>

        9. \u5289\u82f1\u548c* \u548c \u6234\u742a\u4e4b\uff0c \u3008\u4ee5\u6c23\u5019\u8cc7\u8a0a\u7d50\u5408\u8cc7\u6599\u63a2\u52d8\u6280\u8853\u9810\u6e2c\u85e5\u54c1\u8017\u7528\u91cf\u3009 \u300a\u7b2c\u4e09\u5341\u4e00\u5c46\u570b\u969b\u8cc7\u8a0a\u7ba1\u7406\u5b78\u8853\u7814\u8a0e\u6703\u300b\uff0c \u81fa\u7063\uff0c \u5609\u7fa9\u5e02\uff0c 2020\u5e74\u5341\u4e8c\u670812\u65e5\u3002<\/strong><\/h3><\/li>

        10. \u5289\u82f1\u548c* \u548c \u6797\u745e\u96f2\uff0c \u3008\u7d50\u5408\u793e\u7fa4\u5a92\u9ad4\u8cc7\u8a0a\u65bc\u793e\u7fa4\u554f\u7b54\u7db2\u7ad9\u4e0a\u63a8\u85a6\u5c08\u5bb6\u4e4b\u7814\u7a76\u3009 \u300a\u7b2c\u4e09\u5341\u4e00\u5c46\u570b\u969b\u8cc7\u8a0a\u7ba1\u7406\u5b78\u8853\u7814\u8a0e\u6703\u300b\uff0c \u81fa\u7063\uff0c \u5609\u7fa9\uff0c 2020\u5e74\u5341\u4e8c\u670812\u65e5\u3002<\/strong><\/h3><\/li>

        11. \u5289\u82f1\u548c*\u3001\u856d\u4ef2\u541b \u548c \u9ec3\u5efa\u51f1\uff0c \u3008\u4f7f\u7528\u6280\u8853\u6307\u6a19\u9810\u6e2c\u6bd4\u7279\u5e63\u50f9\u683c\u4e4b\u7814\u7a76\u3009 \u300a\u7b2c30\u5c46\u570b\u969b\u8cc7\u8a0a\u7ba1\u7406\u5b78\u8853\u7814\u8a0e\u6703\u300b\uff0c \u81fa\u7063\uff0c \u65b0\u5317\u5e02\uff0c 2019\u5e74\u4e94\u670818\u65e5\u3002<\/strong><\/h3><\/li>

        12. \u5289\u82f1\u548c* \u548c \u90ed\u4f73\u6986\uff0c \u3008\u61c9\u7528\u8907\u5408\u5c6c\u6027\u8b58\u5225\u8ad6\u58c7\u578b\u793e\u7fa4\u5a92\u9ad4\u4e4b\u5206\u8eab\u5e33\u865f\u3009 \u300a\u7b2c30\u5c46\u570b\u969b\u8cc7\u8a0a\u7ba1\u7406\u5b78\u8853\u7814\u8a0e\u6703\u300b\uff0c \u81fa\u7063\uff0c \u65b0\u5317\u5e02\uff0c 2019\u5e74\u4e94\u670818\u65e5\u3002<\/strong><\/h3><\/li>

        13. \u5289\u82f1\u548c*\u3001 \u9ec3\u9a30\u5104\u3001 \u856d\u4ef2\u541b\uff0c \u3008\u61c9\u7528\u5206\u985e\u6280\u8853\u65bc\u793e\u7fa4\u554f\u7b54\u7db2\u7ad9\u4e2d\u5c0b\u627e\u5c08\u5bb6\u4e4b\u7814\u7a76\u3009 \u300a\u6578\u4f4d\u79d1\u6280\u8207\u5275\u65b0\u7ba1\u7406\u7814\u8a0e\u6703\u300b\uff0c \u81fa\u7063\uff0c \u65b0\u5317\u5e02\uff0c 2017\u5e74\u516d\u670810\u65e5\u3002 <\/strong><\/h3><\/li>

        14. \u5289\u82f1\u548c*, \u201cGenerating summaries for frequent univariate uncertain patterns,\u201d \u81fa\u5927\u7ba1\u7406\u8ad6\u53e2\u300a\u5de8\u91cf\u8cc7\u6599\u5206\u6790\u8207\u4f01\u696d\u5275\u65b0\u300b\u5c08\u520a\u8ad6\u6587\u767c\u8868\u7814\u8a0e\u6703, \u53f0\u5317\u5e02, Taiwan, September 9, 2015. <\/strong><\/h3><\/li>

        15. \u5289\u82f1\u548c*\u3001\u90b1\u5efa\u667a \u548c \u8303\u60e0\u745c\uff0c \u3008\u4f7f\u7528\u55ae\u8b8a\u91cf\u4e0d\u78ba\u5b9a\u95dc\u806f\u898f\u5247\u9810\u6e2c\u80a1\u50f9\u4e4b\u7814\u7a76\u3009 \u300a\u8cc7\u8a0a\u7ba1\u7406\u66a8\u5be6\u52d9\u7814\u8a0e\u6703\u300b\uff0c \u81fa\u7063\uff0c \u6843\u5712\uff0c 2014\u5e74\u5341\u4e8c\u670813\u65e5\u3002<\/strong><\/h3><\/li>

        16. \u5289\u82f1\u548c* and \u90b1\u5efa\u667a, \u201cMining Sequential Patterns from Univariate Uncertain Sequence Databases,\u201d \u570b\u969b\u8cc7\u8a0a\u7ba1\u7406\u5b78\u8853\u7814\u8a0e\u6703, \u65b0\u5317\u5e02, Taiwan, May 25-26, 2013. <\/strong><\/h3><\/li>

        17. \u5289\u82f1\u548c* \u548c \u5442\u79c9\u8c6a\uff0c \u3008\u5f9e\u4e0d\u78ba\u5b9a\u6027\u8cc7\u6599\u4e2d\u63a2\u52d8\u6700\u5927\u983b\u7e41\u9805\u76ee\u96c6\u3009 \u300a\u6578\u4f4d\u751f\u6d3b\u79d1\u6280\u7814\u8a0e\u6703\u300b\uff0c \u81fa\u7063\uff0c \u96f2\u6797\u7e23\uff0c 2012\u5e74\u516b\u670815-16\u65e5\u3002<\/strong><\/h3><\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

          \u5289\u82f1\u548c (Ying-Ho Liu) Pr […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"no-sidebar","site-content-layout":"","ast-site-content-layout":"full-width-container","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-91","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/dc.ndhu.edu.tw\/index.php?rest_route=\/wp\/v2\/pages\/91","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dc.ndhu.edu.tw\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/dc.ndhu.edu.tw\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/dc.ndhu.edu.tw\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dc.ndhu.edu.tw\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=91"}],"version-history":[{"count":28,"href":"https:\/\/dc.ndhu.edu.tw\/index.php?rest_route=\/wp\/v2\/pages\/91\/revisions"}],"predecessor-version":[{"id":187,"href":"https:\/\/dc.ndhu.edu.tw\/index.php?rest_route=\/wp\/v2\/pages\/91\/revisions\/187"}],"wp:attachment":[{"href":"https:\/\/dc.ndhu.edu.tw\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=91"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}