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Social Networks, Multimedia, Data Mining
Computer Music, Digital Arts & Archives
Web Technologies, Bioinformatics
 


Social Networks

  • F. F. Kuo, C. T. Li, and M. K. Shan, Intelligent Menu Planning: Recommending Sets of Recipes by Ingredients, 4th ACM International Workshop on Multimedia for Cooking and Eating Activities in conjunction with the ACM International Conference on Multimedia 2012, Nara, Japan, 2012.
  • C. T. Li and M. K. Shan, Composing Activity Groups in Social Networks, ACM International Conference on Information and Knowledge Management CIKM'12, Mauri, Hawaii, 2012.
  • C. T. Li, M. K. Shan and S. D. Lin, The Regional Social Network Retrieval Problem, 21th World Wide Web Conference, Lyon, France, 2012.
  • C. T. Li, M. K. Shan and S. D. Lin, Dynamic Selection of Activation Targets to Boost the Influence Spread in Social Networks, 21th World Wide Web Conference, Lyon, France, 2012.
  • C. T. Li, M. K. Shan and S. D. Lin, Influence Propagation and Maximization for Heterogeneous Social Networks, 21th World Wide Web Conference, Lyon, France, 2012.
  • C. T. Li, S. D. Lin and M. K. Shan, Finding Influential Seed Successors in Social Networks, 21th World Wide Web Conference, Lyon, France, 2012.
  • Labeled Influence Maximization in Social Networks for Target Marketing, IEEE International Conference on Social Computing SocialCom'11, Boston, MA, 2011.
  • Context-based Community Search in Attributed Social Networks, ACM International Conference on Information and Knowledge Management CIKM'11, Glasgow, Scotland, UK, 2011.
  • Exploiting Endorsement Information and Social Influence for Item Recommendation, ACM SIGIR International Conference on Research and Development in Information Retrieval, Bejing, China, 2011.
  • Finding Influential Mediators in Social Networks, 20th World Wide Web Conference, Hyderabad, India, 2011.
  • Team Formation for Generalized Tasks in Expertise Social Networks, IEEE International Conference on Social Computing SocialCom'10, Minneapolis, MN, 2010.
  • Discovering Political Tendency in Bulletin Board Discussions by Social Community Analysis, 4th IEEE International Conference on Digital Information Management ICDIM, Ann Arbor, MI, 2009.
  • Narrative Analysis of Films Based on Social Network Analysis, 14th Conference on Artificial Intelligence and Applications TAAI, Taichung, Taiwan, 2009.
  • Social Network Mining from Historical Documents: by Example during Qianlong¡¦s Reign, IICM Communication, Vol. 11, No. 4, 2009.
  • Narrative Analysis of Films Based on Social Network Analysis, 14th Conference on Artificial Intelligence and Applications TAAI, Taichung, Taiwan, 2009.
  • Social Network Mining from Historical Documents: by Example during Qianlong¡¦s Reign, 13th Conference on Artificial Intelligence and Applications TAAI, Taichung, Taiwan, 2008.
  • ¤j«¬ªÀ¸sºôµ¸¤W¹Î¶¤§Î¦¨ªºMapReduceºtºâªk¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2012¡C
  • °ò©ó·§©ÀÄƲ¾±´°ÉªºªÀ¸s¦h´CÅ餧¼öªùµ{«×¹w´ú¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2012¡C
  • §Q¥Î¼ÐÅÒªÀ·|ºôµ¸¤§¼vÅT¤O³Ì¤j¤Æ¹F¨ì¥Ø¼Ð¦¡¼s§i¦æ¾P¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2010¡C
  • °ÊºAªÀ¸sºôµ¸¤§¼ÐÅÒ¹w´ú¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2010¡C
  • ¥Ñ¾©x¦~ªí¤¤§Q¥Î´`§Ç¦@²{¼Ë¦¡±´°É¤H¯ßºôµ¸¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2010¡C
  • ¥Ñ¥v®Æ¤¤±´°É¾©x¦~ªí¡G¥H±dº³®É´Á¬°¨Ò¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2009¡C
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  • ­Ó¤H¤Æ¼s§i±ÀÂ˨t²Î¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2007¡C
  • °ò´Ó©ó§@ªÌ¨ó¦P±ÀÂ˪º¾Ç³N¤åÄm·j´M¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2007¡C
  • Featured Backpacker Itinerary§Q¥Î¹C°O±´°É±ÀÂË­Ó¤H¤Æ®È¹C¦æµ{¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U)¡A2011¡C
  • Summarization and Visualization of Social Activities on Facebook¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U)¡A2011¡C
  • Plugle: Plurk·j´M¤ÞÀº¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2010¡C
  • ¤s¹ëª©ªÀ·|ºô¸ô¬d¸ß¨t²Î¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U)¡A2009¡C
  • ¹q¼v¨¤¦âªººôµ¸Ãö«Y¤ÀªR¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U)¡A2008¡C
  • ºô¸ôªÀ·|¦æ¬°±´°É¡Ð¥HBBS¬Fªvª©¬°¨Ò¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2006¡C
  • Close2U: Summarization and Visualization of Social Activities on Facebook¡A±Ð¨|³¡¥þ°ê¤j¾Ç®Õ°|ºô¸ô³q°T³nÅé»P³Ð·NÀ³¥ÎÄvÁÉ ºô»ÚÀ³¥Î»PªA°È²Õ²Ä¤T¦W¡A2012¡C
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Multimedia

  • Towards an Automatic Music Arrangement Framework Using Score Reduction, ACM Transactions on Multimedia Computing, Communications and Applications, 2010.
  • Algorithms for Discovery of Spatial Co-orientation Patterns from Images, Expert Systems with Applications, 2010.
  • Algorithmic Compositions Based on Discovered Musical Patterns, Multimedia Tools and Applications, Vol. 46, No. 1, 2010.
  • Discovering Color Styles from Fine Art Images of Impressionism, International Journal of Computer Science and Security, Vol. 3, No. 4, 2009.
  • Emotion-based Music Recommendation by Affinity Discovery from Film Music, Expert Systems with Applications Vol. 36, No.4, 2009.
  • Automatic System for the Arrangement of Piano Reductions, IEEE International Workshop on Advances in Music Information Research AdMIRE, San Diego, CA, 2009.
  • Mining Polyphonic Repeating Patterns from Music Data Using Bit-String Based Approaches, IEEE International Conference on Multimedia and Expo ICME, New York, NY, 2009.
  • Melodic Motivic Analysis for Music Education, International Workshop on Multimedia Technology for Education IWMTE, Taipei, Taiwan, 2009.
  • Affective Space Exploration for Impressionism Paintings, Pacific-Rim Conference on Multimedia PCM, Tainan, Taiwan, 2008.
  • Relevance Feedback for Category Search in Music Retrieval Based on Semantic Concept Learning, Multimedia Tools and Applications, Vol. 39, No. 2, 2008.
  • Emotion-based Impressionism Slideshow with Automatic Music Accompaniment, ACM SIGMM International Conference on Multimedia, Augsburg, Germany, 2007.
  • Mining Temporal Co-orientation Patterns from Spatio-temporal Databases, 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining PAKDD, Nanjing, China, 2007.
  • Detecting Changes in User-Centered Music Query Streams, IEEE International Conference on Multimedia and Expo ICME, Toronto, Canada, 2006.
  • Online Mining of Recent Music Query Streams, IEEE International Conference on Multimedia and Expo ICME, Toronto, Canada, 2006.
  • Efficient Mining of Spatial Co-orientation Patterns from Image Databases, IEEE International Conference on Systems, Man, and Cybernectics SMC, Taipei, Taiwan, 2006.
  • Computer Music Composition Based on Discovered Music Patterns, IEEE International Conference on Systems, Man, and Cybernectics SMC, Taipei, Taiwan, 2006.
  • Online Mining Maximal Frequent Structures in Continuous Landmark Melody Streams, Pattern Recognition Letters, Vol. 26, Issue 11, 2005.
  • Mining Frequent Closed Structures in Streaming Melody Sequences, IEEE International Conference on Multimedia and Expo ICME, Taipei, Taiwan, 2004.
  • Looking for New, Not Known Music Only: Music Retrieval by Melody Style, ACM/IEEE Joint Conference on Digital Libraries JCDL, Tucson, Arizona, 2004.
  • Rhythm Style Mining of Dance Music, International Computer Symposium ICS, Taipei, Taiwan, 2004.
  • Music Style Mining and Classification by Melody, IEICE Transactions on Information and Systems, 2003.
  • A Personalized Music Filtering System Based on Melody Style Classification, IEEE International Conference on Data Mining ICDM, Japan, 2002.
  • Music Style Mining and Classification by Melody, IEEE International Conference on Multimedia and Expo ICME, Switzerland, 2002.
  • A Framework for Similarity Measures of Content-based Video Retrieval, Pattern Recognition Letters, Vol. 22, pp. 517-532, 2001.
  • Multidimensional Filter: A New Indexing Method for Subpicture Query of Image Retrieval, Pattern Recognition Letters, Vol. 19, pp. 1241-1255,1998.
  • Content-Based Similarity Measures for Video Based on Similarity of Frame Sequence, IEEE IW-MMDBMS¡¦98 International Workshop on Multimedia Data Base Management Systems, Dayton, Ohio, 1998.
  • Content-Based Video Retrieval via Motion Trajectories, SPIE Photonics¡¦98 Conference on Electronic Imaging and Multimedia Systems II, Beijing, China, 1998.
  • Parsing and Browsing of Video Data for Video-On-Demand Services, IEEE ISCE¡¦98 International Symposium on Consumer Electronics: Digital Video and Multimedia Technology, 1998.
  • News Video Databases System, International Conference on Computer System Technology for Industrial Applications¡¦97, HsinChu, Taiwan, 1997.
  • Dynamic Allocation of Signature File for Multimedia Document Using Parallel Devices, ACM SIGIR¡¦95 the 18th International ACM SIGIR Conference on Research and Development in Information Retrieval, Seattle, WA, 1995.
  • Placement of Signature File for Parallel Retrieval of Image Databases, IS&T/SPIE Storage and Retrieval for Image and Video Databases II, San Jose, CA, 1994.
  • Access Methods of Image Database, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 4, No. 1, ,1990.
  • Similarity Retrieval of Iconic Image Database, Pattern Recognition, Vol. 22, No. 6, 1989.
  • Similarity Retrieval of Iconic Images based on 2D String Longest Common Subsequence, International Symposium on Database Systems for Advanced Applications, Seoul, Korea, 1989.
  • Iconic Indexing and Retrieval of Image Database, International Computer Symposium, Taipei, Taiwan, 1988.
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  • ÁY½s¦¡¦Û°Ê½s¦±¤§¬ã¨s¡A¥æ³q¤j¾Ç¸ê°T¬ì¾Ç»P¤uµ{¬ã¨s©Ò³Õ¤h½×¤å¡A2011¡C
  • VizStory¡Gµøı¤Æ¼Æ¦ìµ£¸Ü¬G¨Æ¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2009¡C
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  • Sing My Story: Lyrics Recommendation by Melody,¨È¤Ó°Ï³Ð·NªA°ÈÄvÁÉInternational Innovative Services Contest³Ð·Nª÷¼ú, 2012.


Data Mining

  • Algorithms for Discovery of Spatial Co-orientation Patterns from Images, Expert Systems with Applications, 2010.
  • Algorithmic Compositions Based on Discovered Musical Patterns, Multimedia Tools and Applications, Vol. 46, No. 1, 2010.
  • Discovering Color Styles from Fine Art Images of Impressionism, International Journal of Computer Science and Security, Vol. 3, No. 4, 2009.
  • Social Network Mining from Historical Documents: by Example during Qianlong¡¦s Reign, IICM Communication, Vol. 11, No. 4, 2009.
  • DSM-FI: An Efficient Algorithm for Mining Frequent Itemsets in Data Streams, Knowledge and Information Systems: An International Journal, Vol. 17, No, 1, 2008.
  • DSM-PLW: Single-Pass Mining of Path Traversal Patterns over Streaming Web Click-Sequences, Computer Networks: Special Issue on Web Dynamics, Vol. 50, Issue 10, 2006.
  • Online Mining Maximal Frequent Structures in Continuous Landmark Melody Streams, Pattern Recognition Letters, Vol. 26, Issue 11, 2005.
  • Online Mining Changes of Items over Continuous Append-only and Dynamic Data Streams, Journal of Universal Computer Science: Special Issue on Knowledge Discovery in Data Streams, Vol. 11, No. 8, 2006.
  • Fault-Tolerant Pattern Mining of Exon Skipped Sequences from Alternative Splicing Database, Journal of Computers, Vol. 16, No. 3, 2004.
  • Music Style Mining and Classification by Melody, IEICE Transactions on Information and Systems, Vol. E86-D, No. 4, 2003.
  • Discovering Political Tendency in Bulletin Board Discussions by Social Community Analysis, 4th IEEE International Conference on Digital Information Management ICDIM, Ann Arbor, MI, 2009.
  • Mining Polyphonic Repeating Patterns from Music Data Using Bit-String Based Approaches, IEEE International Conference on Multimedia and Expo ICME, New York, NY, 2009.
  • Mining Temporal Co-orientation Patterns from Spatio-temporal Databases, 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining PAKDD, Nanjing, China, 2007.
  • Detecting Changes in User-Centered Music Query Streams, IEEE International Conference on Multimedia and Expo ICME, Toronto, Canada, 2006.
  • Online Mining of Recent Music Query Streams, IEEE International Conference on Multimedia and Expo ICME, Toronto, Canada, 2006.
  • Online Mining of Frequent Query Trees over Data Streams, 15th World Wide Web Conference WWW, Edinburgh, Scotland, 2006.
  • Efficient Maintenance and Mining of Frequent Itemsets over Online Data Streams with a Sliding Window, IEEE International Conference on Systems, Man, and Cybernectics SMC, Taipei, Taiwan, 2006.
  • Efficient Mining of Spatial Co-orientation Patterns from Image Databases, IEEE International Conference on Systems, Man, and Cybernectics SMC, Taipei, Taiwan, 2006.
  • Computer Music Composition Based on Discovered Music Patterns, IEEE International Conference on Systems, Man, and Cybernectics SMC, Taipei, Taiwan, 2006.
  • Mining Spatial Co-orientation Patterns for Analyzing Portfolios of Spatial Cognitive Development, 6th IEEE International Conference on Advanced Learning Technologies ICALT, Kerkrade, Netherlands, 2006.
  • Emotion-based Music Recommendation based on Association Discovery from Film Music, ACM SIGMM International Conference on Multimedia, Singapor, 2005.
  • Online Mining (Recently) Maximal Frequent Itemsets over Data Streams, 15th IEEE International Workshop on Research Issues on Data Engineering RIDE, Tokyo, Japan, 2005.
  • On Mining Webclick Streams for Path Traversal Patterns, 13th World Wide Web Conference WWW, New York, 2004.
  • Mining Frequent Closed Structures in Streaming Melody Sequences, IEEE International Conference on Multimedia and Expo ICME, Taipei, Taiwan, 2004.
  • An Efficient Algorithm for Mining Frequent Itemsets over the Entire History of Data Streams, First International Workshop on Knowledge Discovery in Data Streams, in conjunction with the 15th European Conference on Machine Learning ECML and the 8th European Conference on the Principals and Practice of Knowledge Discovery in Databases PKDD, Pisa, Italy, 2004.
  • Algorithms for Discovery of Frequent Superset, Rather Than Subset, International Conference on Data Warehouse and Knowledge Discovery DaWaK, Zaragoza, Spain, 2004.
  • Mining Maximal Frequent Itmesets in Data Streams, Proc. of 2004 International Computer Symposium ICS, Taipei, Taiwan, 2004. (Best Paper Award)
  • Rhythm Style Mining of Dance Music, International Computer Symposium ICS, Taipei, Taiwan, 2004.
  • A Personalized Music Filtering System Based on Melody Style Classification, IEEE International Conference on Data Mining ICDM, Japan, 2002.
  • Music Style Mining and Classification by Melody, IEEE International Conference on Multimedia and Expo ICME, Switzerland, 2002.
  • Fast Discovery of Structure Navigation Patterns from Web User Traversals, SPIE Conference on Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV, Orlando, Florida, USA, 2002.
  • PNP: Mining of Profile Navigational Patterns, SPIE Conference on Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV, Orlando, Florida, USA, 2002.
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  • Featured Backpacker Itinerary§Q¥Î¹C°O±´°É±ÀÂË­Ó¤H¤Æ®È¹C¦æµ{¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U)¡A2011¡C
  • ¬ü­¹¹F¤HiFood 2.0¡GBBS¯¸¬ü­¹­¹°O¤§µû»ù±´°É¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U¡B±Ð¨|³¡¶}©ñ³nÅé³Ð§@ÄvÁɻȵP¼ú)¡A2010¡C
  • ¬ü­¹¦a¹Ï¹F¤H¡G¸óBBS¯¸¬ü­¹¸ê°T·j´M¤ÞÀº¤§¬ã¨s»P¶}µo¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U¡B±Ð¨|³¡¶}©ñ³nÅé³Ð§@ÄvÁɻȵP¼ú)¡A2009¡C
  • ¬ï¥X­·®æ¡GªA¸Ë¹F¤H¦â±m·f°t¤§¬ã¨s¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2008¡C
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  • §Q¥Î¸ê®Æ±´°É§Þ³N¬°¦L¶H¬£µe§@·f°t­µ¼Ö¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U)¡A2006¡C
  • ºô¸ôªÀ·|¦æ¬°±´°É¡Ð¥HBBS¬Fªvª©¬°¨Ò¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2006¡C
  • §ï¶iAssociative classification¤ÀÃþ®ÄªG¤§¬ã¨s¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2006¡C
  • ¥Ñ3D³zµø¹Ï±´°É«Ç¤º³]­p­·®æ¤§¬ã¨s¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2006¡C
  • ¤HÃþ»P¦Ñ¹«°ò¦]¦bªí²{§Ç¦C¸õ±µ¼Ë¦¡ªº¤ñ¸û©Ê¤ÀªR¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U)¡A2005¡C
  • ¥Íª«§Ç¦C±´°É¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2005¡C
  • ¿ï¾Ü©Ê±µ¦X¸ê®Æ®wªº®e¿ù§Ç¦C±´°É¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U)¡A2004¡C
  • ¿ï¾Ü©Ê±µ¦X¸ê®Æ®w¤¤±µ¦X«¬ºAªº¤ÀÃþ³W«h±´°É¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2004¡C
  • ¿ï¾Ü©Ê±µ¦X¸ê®Æ®w¤¤ªí²{§Ç¦C¸õ±µªº­ËÂà­«½Æ¼Ë¦¡±´°É¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2004¡C
  • ¿ï¾Ü©Ê±µ¦X¸ê®Æ®wªº¸ê®Æ±´°É¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U¡B°ê¬ì·|¬ã¨s³Ð§@¼ú)¡A2003¡C
  • ®Ú¾Ú¹ï¤ñ¦â±mªÅ¶¡°µ­Ó¤H¤Æ¬ü³N¼v¹³±ÀÂË¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2003¡C
  • ¥Ñ­µ¼Ö¤¤±´°É­µ¼Ö¸`«µ¤§¬ã¨s¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2003¡C
  • Fault-tolerant Tree Mining¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U)¡A2002¡C
  • Discovering Frequent Substructures from Semi-structured Data¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2002¡C
  • ±q¬ì§Þ·s»D±´°É²£«~¸ê°T¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2002¡C
  • ³J¥Õ½è§Ç¦Cªº¯S¼x±´°É¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2002¡C
  • ¨ã³Æ­Ó¤H¦±­·¾Ç²ß¯à¤Oªº­µ¼Ö¬d¸ß¨t²Î¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2001¡C
  • MPEG-7¬ü³N¼v¹³¸ê®Æ®w¤¤ªºÃ¸µe­·®æ±´°É»P¬d¸ß¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2001¡C
  • Data Mining From Transcription Factor Binding Site Database¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2001¡C
  • News Boy­Ó¤H¤Æ¹q¤l³ø¨t²Î²Ä¤G¥N¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2001¡C
  • ­µ¼Ö¬d¸ß»P¦±­·¿ëÃѨt²Î¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2000¡C
  • µ²·ùºô¯¸¤§¨Ï¥ÎªÌ¦æ¬°¤ÀªR»P±ÀÂ˨t²Î¤§³]­p»P¹ê§@¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2000¡C
  • ¥þ²y¸ê°Tºô¦h´CÅé·j´M¤ÞÀº¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U¡B°ê¬ì·|¬ã¨s³Ð§@¼ú)¡A1999¡C
  • ºô¯¸ÂsÄý¦æ¬°¤§±´°É»P¤ÀªR¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A1999¡C
  • News Boy­Ó¤H¤Æ¹q¤l³ø¨t²Î¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(±Ð¨|³¡³q°T¬ì§Þ±MÃD»s§@ÄvÁɤj¾Ç²ÕÀuµ¥¼ú)¡A1999¡C


Computer Music

  • Towards an Automatic Music Arrangement Framework Using Score Reduction, ACM Transactions on Multimedia Computing, Communications and Applications, 2010.
  • Algorithmic Compositions Based on Discovered Musical Patterns, Multimedia Tools and Applications, Vol. 46, No. 1, 2010.
  • Emotion-based Music Recommendation by Affinity Discovery from Film Music, Expert Systems with Applications, Vol. 36, No.4, 2009.
  • Automatic System for the Arrangement of Piano Reductions, IEEE International Workshop on Advances in Music Information Research AdMIRE, San Diego, CA, 2009.
  • Mining Polyphonic Repeating Patterns from Music Data Using Bit-String Based Approaches, IEEE International Conference on Multimedia and Expo ICME, New York, NY, 2009.
  • Melodic Motivic Analysis for Music Education, International Workshop on Multimedia Technology for Education IWMTE, Taipei, Taiwan, 2009.
  • Relevance Feedback for Category Search in Music Retrieval Based on Semantic Concept Learning, Multimedia Tools and Applications, Vol. 39, No. 2, 2008.
  • Emotion-based Impressionism Slideshow with Automatic Music Accompaniment, ACM SIGMM International Conference on Multimedia, Augsburg, Germany, 2007.
  • Detecting Changes in User-Centered Music Query Streams, IEEE International Conference on Multimedia and Expo ICME, Toronto, Canada, 2006.
  • Online Mining of Recent Music Query Streams, IEEE International Conference on Multimedia and Expo ICME, Toronto, Canada, 2006.
  • Computer Music Composition Based on Discovered Music Patterns, IEEE International Conference on Systems, Man, and Cybernectics SMC, Taipei, Taiwan, 2006.
  • Online Mining Maximal Frequent Structures in Continuous Landmark Melody Streams, Pattern Recognition Letters, Vol. 26, Issue 11, 2005.
  • Mining Frequent Closed Structures in Streaming Melody Sequences, IEEE International Conference on Multimedia and Expo ICME, Taipei, Taiwan, 2004.
  • Looking for New, Not Known Music Only: Music Retrieval by Melody Style, ACM/IEEE Joint Conference on Digital Libraries JCDL, Tucson, Arizona, 2004.
  • Rhythm Style Mining of Dance Music, International Computer Symposium ICS, Taipei, Taiwan, 2004.
  • Music Style Mining and Classification by Melody, IEICE Transactions on Information and Systems, Vol. E86-D, No. 4, 2003.
  • A Personalized Music Filtering System Based on Melody Style Classification, IEEE International Conference on Data Mining ICDM, Japan, 2002.
  • Music Style Mining and Classification by Melody, IEEE International Conference on Multimedia and Expo ICME, Switzerland, 2002.
  • µØ»y¬y¦æ­µ¼Ö¤§µü¦¡¤ÀªR»Pµü¦±µ²ºc·f°t¤§±Æ¤ñ»P¦P¨B¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2012¡C
  • °ò´Ó©ó«D¯x°}¤À¸Ñ¤§µØ»y¬y¦æ­µ¼Ö¦±¦¡¤ÀªR¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2012¡C
  • ÁY½s¦¡¦Û°Ê½s¦±¤§¬ã¨s¡A¥æ³q¤j¾Ç¸ê°T¬ì¾Ç»P¤uµ{¬ã¨s©Ò³Õ¤h½×¤å¡A2011¡C
  • °ò©ó­Ó¤H¹q¸£¨Ï¥ÎªÌ¾Þ§@±¡¹Ò¤§­µ¼Ö±ÀÂË¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2008¡C
  • ­µ¼Ö¦Û°Ê½s¦±¤§¬ã¨s¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2007¡C
  • ®Ú¾Ú·§©À¾Ç²ßµo®i¥H¤º®e¬°¥Dªº­µ¼Ö¬d¸ß¤§¬ÛÃö¦^õX¾÷¨î¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2006¡C
  • ¥H±´°É¤§­µ¼Ö¼Ë¦¡§@¹q¸£­µ¼Ö§@¦±¤§¬ã¨s¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2005¡C
  • ¥H¥DÃD¬°°ò¦ªº­µ¼Öµ²ºc©Ê¤ÀªR¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2004¡C
  • §Q¥Î©M²Í¯S¼x±´°É­µ¼Ö±Û«ß¦±­·¤§¬ã¨s¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å(°ê¬ì·|ºÓ¤h½×¤å¼ú¡B§»ùÖÀsÄ˽פå¼ú)¡A2003¡C
  • ­µ¼Ö¤j¤£¦P¡G­µ¼Ö­·®æ¦Û°Ê§ï½s¨t²Î¤§¬ã¨s¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U¡B°ê¬ì·|¬ã¨s³Ð§@¼ú)¡A2008¡C
  • ´£¨Ñ¬Û¦ü¦±­·¬d¸ßªº­µ¼ÖÂ^¨ú¨t²Î¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U)¡A2007¡C
  • §Q¥Î¸ê®Æ±´°É§Þ³N¬°¦L¶H¬£µe§@·f°t­µ¼Ö¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U)¡A2007¡C
  • ­µ¼Ö¦Û°Ê©M©¶·f°t¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2006¡C
  • ¥H¥DÃD¬°°ò¦ªº­µ¼Öµ²ºc¤ÀªR¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2005¡C
  • ¥Ñ­µ¼Ö¤¤±´°É­µ¼Ö¸`«µ¤§¬ã¨s¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2004¡C
  • ¨ã³Æ­Ó¤H¦±­·¾Ç²ß¯à¤Oªº­µ¼Ö¬d¸ß¨t²Î¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2002¡C
  • ­µ¼Ö¬d¸ß»P¦±­·¿ëÃѨt²Î¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2001¡C
  • ¥H­óºq¤è¦¡¬d¸ß¤§­µ¼ÖÀ˯Á¨t²Î¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2000¡C
  • ¦A¤T±Àµü: ¥H¦±§äµüªºÂ¦±·sµü±ÀÂ˨t²Î¡A¥þ°ê¤j±M°|®Õ¸ê°TÀ³¥ÎªA°È³Ð·sÄvÁɶ³ºÝx¥Í¬¡³Ð·sÀ³¥Î²Õ²Ä¤@¦W¡A2012¡C
  • Sing My Story: Lyrics Recommendation by Melody,¨È¤Ó°Ï³Ð·NªA°ÈÄvÁÉInternational Innovative Services Contest³Ð·Nª÷¼ú, 2012.


Digital Arts and Archives

  • Towards an Automatic Music Arrangement Framework Using Score Reduction, ACM Transactions on Multimedia Computing, Communications and Applications, 2010.
  • Algorithms for Discovery of Spatial Co-orientation Patterns from Images, Expert Systems with Applications, 2010.
  • Algorithmic Compositions Based on Discovered Musical Patterns, Multimedia Tools and Applications, Vol. 46, No. 1, 2010.
  • Discovering Color Styles from Fine Art Images of Impressionism, International Journal of Computer Science and Security, Vol. 3, No. 4, 2009.
  • Automatic System for the Arrangement of Piano Reductions, IEEE International Workshop on Advances in Music Information Research AdMIRE, San Diego, CA, 2009.
  • Affective Space Exploration for Impressionism Paintings, Pacific-Rim Conference on Multimedia PCM, Tainan, Taiwan, 2008.
  • Emotion-based Impressionism Slideshow with Automatic Music Accompaniment, ACM SIGMM International Conference on Multimedia, Augsburg, Germany, 2007.
  • Rhythm Style Mining of Dance Music, International Computer Symposium ICS, Taipei, Taiwan, 2004.
  • Music Style Mining and Classification by Melody, IEICE Transactions on Information and Systems, Vol. E86-D, No. 4, 2003.
  • Music Style Mining and Classification by Melody, IEEE International Conference on Multimedia and Expo ICME, Switzerland, 2002.
  • News Video Databases System, International Conference on Computer System Technology for Industrial Applications¡¦97, HsinChu, Taiwan, 1997.
  • ÁY½s¦¡¦Û°Ê½s¦±¤§¬ã¨s¡A¥æ³q¤j¾Ç¸ê°T¬ì¾Ç»P¤uµ{¬ã¨s©Ò³Õ¤h½×¤å¡A2011¡C
  • VizStory¡Gµøı¤Æ¼Æ¦ìµ£¸Ü¬G¨Æ¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2009¡C
  • ¥H¨¤¦âªºªÀ·|ºôµ¸¬°°ò¦¤§¹q¼v±Ô¨Æµ²ºc¤ÀªR¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2008¡C
  • ­µ¼Ö¦Û°Ê½s¦±¤§¬ã¨s¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2007¡C
  • ®Ú¾Ú¹q¼v©çÄá¤âªkªºµøı¸ê°T»P±¡ºüÃöÁp±´°É¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2007¡C
  • ¥H±´°É¤§­µ¼Ö¼Ë¦¡§@¹q¸£­µ¼Ö§@¦±¤§¬ã¨s¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2005¡C
  • ¥H¥DÃD¬°°ò¦ªº­µ¼Öµ²ºc©Ê¤ÀªR¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2004¡C
  • ¼v¹³¸ê®Æ®w¤¤ªÅ¶¡Ãö«Y±´°É¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2004¡C
  • §Q¥Î©M²Í¯S¼x±´°É­µ¼Ö±Û«ß¦±­·¤§¬ã¨s¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å(°ê¬ì·|ºÓ¤h½×¤å¼ú¡B§»ùÖÀsÄ˽פå¼ú)¡A2003¡C
  • ¬ü³N¼v¹³¤¤ÃC¦â­·®æ±´°É¤§¬ã¨s¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2003¡C
  • º©µe¹F¤H¡G¥Ñ¹q¼v¦Û°Ê²£¥Íº©µe¤§¨t²Î¶}µo¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2011¡C
  • ­µ¼Ö¤j¤£¦P¡G­µ¼Ö­·®æ¦Û°Ê§ï½s¨t²Î¤§¬ã¨s¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U¡B°ê¬ì·|¬ã¨s³Ð§@¼ú)¡A2008¡C
  • ¬ï¥X­·®æ¡GªA¸Ë¹F¤H¦â±m·f°t¤§¬ã¨s¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2008¡C
  • ¹q¼v¨¤¦âªººôµ¸Ãö«Y¤ÀªR¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U)¡A2008¡C
  • ¥Ñ3D³zµø¹Ï±´°É«Ç¤º³]­p­·®æ¤§¬ã¨s¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2007¡C
  • §Q¥Î¸ê®Æ±´°É§Þ³N¬°¦L¶H¬£µe§@·f°t­µ¼Ö¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U)¡A2007¡C
  • ­µ¼Ö¦Û°Ê©M©¶·f°t¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2006¡C
  • ¥H¥DÃD¬°°ò¦ªº­µ¼Öµ²ºc¤ÀªR¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2005¡C
  • ¥Ñ­µ¼Ö¤¤±´°É­µ¼Ö¸`«µ¤§¬ã¨s¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2004¡C
  • ®Ú¾Ú¹ï¤ñ¦â±mªÅ¶¡°µ­Ó¤H¤Æ¬ü³N¼v¹³±ÀÂË¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2004¡C
  • MPEG-7¬ü³N¼v¹³¸ê®Æ®w¤¤ªºÃ¸µe­·®æ±´°É»P¬d¸ß¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2002¡C
  • ­µ¼Ö¬d¸ß»P¦±­·¿ëÃѨt²Î¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2001¡C


Web Technologies

  • Relevance Feedback for Category Search in Music Retrieval Based on Semantic Concept Learning, Multimedia Tools and Applications, Vol. 39, No. , 2008.
  • DSM-FI: An Efficient Algorithm for Mining Frequent Itemsets in Data Streams, Knowledge and Information Systems: An International Journal, Vol. 17, No, 1, 2008.
  • DSM-PLW: Single-Pass Mining of Path Traversal Patterns over Streaming Web Click-Sequences, Computer Networks: Special Issue on Web Dynamics, Vol. 50, Issue 10, 2006.
  • Allocation of Signature File on Parallel Devices For WWW Index Servers, Journal of Information Science and Engineering, Vol. 15, No. 2, 1999.
  • On Mining Webclick Streams for Path Traversal Patterns, 13th World Wide Web Conference WWW, New York, 2004.
  • Personalized Categorization of E-News System, Symposium on Digital Life and Internet Technologies, Tainan, Taiwan, 2002.
  • Virtual Mall of E-commerce Web Sites: User Behavior Analyses and Recommendations, 4th International Conference on Enterprise Information Systems, Ciudad Real, Spain, 2002.
  • Fast Discovery of Structure Navigation Patterns from Web User Traversals, SPIE Conference on Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV, Orlando, Florida, 2002.
  • PNP: Mining of Profile Navigational Patterns, SPIE Conference on Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV, Orlando, Florida, 2002.
  • Mining Non-Simple Traversal Paths from Web Access Logs, Workshop on Internet and Distributed Systems, Tainan, Taiwan, 2002.
  • §Q¥Îºû°ò¦Ê¬ì¤Îºô¸ô¬Ûï±q¹C°O±´°É­Ó¤H¤Æ®È¹C¦æµ{¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2010¡C
  • §Q¥ÎÁô§t¦^õX´£¨Ñ·j´M¤ÞÀºªº¦Û°Ê¬d¸ß­×¥¿¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2006¡C
  • ¾ã¦X¦P¤Æ½×©ó¾A©Ê¤Æ¾Ç²ß¼Ò«¬¤§¬ã¨s¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2005¡C
  • ¥Ñ¥þ²y¸ê°Tºô±´°É¾Ç³N¬ã¨s»â°ìªº¥»Åé½×¸ê°T¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2004¡C
  • ±q·j´M¤ÞÀº¬d¸ß¬ö¿ý¤¤¾Ç²ßOntology¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2003¡C
  • ¦Ò¼{ºô¯¸µ²ºc¤§¨Ï¥ÎªÌºô¯¸º©¹C¦æ¬°ªº¬ã¨s¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2001¡C
  • Featured Backpacker Itinerary§Q¥Î¹C°O±´°É±ÀÂË­Ó¤H¤Æ®È¹C¦æµ{¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U)¡A2011¡C
  • Summarization and Visualization of Social Activities on Facebook¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U)¡A2011¡C
  • ¬ü­¹¹F¤HiFood 2.0¡GBBS¯¸¬ü­¹­¹°O¤§µû»ù±´°É¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U¡B±Ð¨|³¡¶}©ñ³nÅé³Ð§@ÄvÁɻȵP¼ú)¡A2010¡C
  • Plugle: Plurk·j´M¤ÞÀº¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2010¡C
  • ¬ü­¹¦a¹Ï¹F¤H¡G¸óBBS¯¸¬ü­¹¸ê°T·j´M¤ÞÀº¤§¬ã¨s»P¶}µo¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U¡B±Ð¨|³¡¶}©ñ³nÅé³Ð§@ÄvÁɻȵP¼ú)¡A2009¡C
  • BBSºëµØ°Ï¦Û°Ê¾ã²z¨t²Î¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U)¡A2007¡C
  • ºô¸ôªÀ·|¦æ¬°±´°É¡Ð¥HBBS¬Fªvª©¬°¨Ò¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2006¡C
  • ±q¬ì§Þ·s»D±´°É²£«~¸ê°T¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2003¡C
  • µ²·ùºô¯¸¤§¨Ï¥ÎªÌ¦æ¬°¤ÀªR»P±ÀÂ˨t²Î¤§³]­p»P¹ê§@¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2001¡C
  • ºô¯¸ÂsÄý¦æ¬°¤§±´°É»P¤ÀªR¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2000¡C
  • ¥þ²y¸ê°Tºô¦h´CÅé·j´M¤ÞÀº¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U¡B°ê¬ì·|¬ã¨s³Ð§@¼ú)¡A2000¡C
  • News Boy­Ó¤H¤Æ¹q¤l³ø¨t²Î¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(±Ð¨|³¡³q°T¬ì§Þ±MÃD»s§@ÄvÁÉÀuµ¥¼ú)¡A2000¡C
  • iFood: ¬ü­¹¹F¤H·j´M¤ÞÀº¡A±Ð¨|³¡¶}©ñ³nÅé³Ð§@ÄvÁɶ³ºÝ­pºâ»Pºô»ÚªA°È²Õ»ÈµP¼ú¡A2011¡C


Bioinformatics

  • Comparative Analysis of Exon Skipping Patterns in Human and Mouse, 4th International Workshop on Biological Data Management, DEXA, Krakow, Poland, 2006.
  • Fault-Tolerant Pattern Mining of Exon Skipped Sequences from Alternative Splicing Database, Journal of Computers, Vol. 16, No. 3, 2004.
  • Parallel Algorithms for Finding the Center of Interval and Circular-Arc Graphs, IEICE Transactions on Fundamentals of Electronics, Communications, and Computer Sciences, Vol. E86-A, No. 10, 2003
  • ¿ï¾Ü©Ê±µ¦X¸ê®Æ®w¤¤ªí²{§Ç¦C¸õ±µªº®e¿ù¼Ë¦¡±´°É¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¬ã¨s©ÒºÓ¤h½×¤å¡A2005¡C
  • ¤HÃþ»P¦Ñ¹«°ò¦]¦bªí²{§Ç¦C¸õ±µ¼Ë¦¡ªº¤ñ¸û©Ê¤ÀªR¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U)¡A2005¡C
  • ¥Íª«§Ç¦C±´°É¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2005¡C
  • ¿ï¾Ü©Ê±µ¦X¸ê®Æ®wªº®e¿ù§Ç¦C±´°É¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U)¡A2004¡C
  • ¿ï¾Ü©Ê±µ¦X¸ê®Æ®w¤¤±µ¦X«¬ºAªº¤ÀÃþ³W«h±´¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U)¡A2004¡C
  • ¿ï¾Ü©Ê±µ¦X¸ê®Æ®w¤¤ªí²{§Ç¦C¸õ±µªº­ËÂà­«½Æ¼Ë¦¡±´°É¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2004¡C
  • ¿ï¾Ü©Ê±µ¦X¸ê®Æ®wªº¸ê®Æ±´°É¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U¡A°ê¬ì·|¬ã¨s³Ð§@¼ú)¡A2003¡C
  • ³J¥Õ½è§Ç¦Cªº¯S¼x±´°É¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2002¡C
  • Discovering Frequent Substructures from Semi-structured Data¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A2002¡C
  • Fault-tolerant Tree Mining¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD(°ê¬ì·|¤j±M¥Í±MÃD¬ã¨s¸É§U)¡A2002¡C
  • Data Mining From Transcription Factor Binding Site Database¡A¬Fªv¤j¾Ç¸ê°T¬ì¾Ç¨t¤j¾Ç³¡±MÃD¡A201¡C