Sheng-Tun Li, Distinguished Professor
Department of Industrial and Information Management
Institute of Information Management
National Cheng Kung University
No.1, Ta-Hsueh Road, Tainan 701, Taiwan, R.O.C.
Tel: +886-6-2757575-53126
Fax: +886-6-2362162
Email: stli at mail.ncku.edu.tw
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Tel: +886-6-2757575Âà53126(¬ã¨s«Ç), 53100(¨t¿ì)
Fax: +886-6-2362162
Email: stli at mail.ncku.edu.tw

Biography Research Projects    Publications    Teaching  

Artificial Intelligence Lab   Student Supervision    Invited Talks   Professional Activities

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Biography

 Sheng-Tun Li received his PhD degree in computer science from University of Houston, University Park, Texas, USA, in 1995. He is currently a distinguished professor in the Department of Industrial and Information Management & Institute of Information Management at National Cheng Kung University, Taiwan. Dr. Li is author/co-author of ten IT-related textbooks including two translated, over 90 journal papers, and numerous conference papers. His work has been appeared in Information & Management, Omega The International Journal of Management Science, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Systems, Man, and Cybernetics-Part B, Fuzzy Sets and Systems, Information Sciences, Neurocomputing, Knowledge-Based Systems, Journal of Information Science, Technovation, R&D Management, etc. He is a holder of three IT- and Fintech-related patents. His research interests include artificial intelligence, business intelligence, big data analytics, digital transformation.

Academic Interest

Laboratory

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Awards

Academic Projects

  1. NestGATE¡G´¼¯à»s³y¶¥¼h¦¡²§±`ÀË´ú»P¤À¥¬º}²¾¾AÀ³¤§¤@­P©Ê¹Ï¯«¸gºô¸ô®Ø¬[¬ã¨s
    NSTC 114-2410-H-006-091-MY3, 2025/08/01-2028/07/31
  2. À³¥Î©ó¬ã¨s®×¥ó­Û²z¼f¬d°»´úªº¥i¸ÑÄÀ©Ê¤H¤u´¼¼z¤èªk
    ¦¨¤jÂå°|2023¦~´¼¼z°·±d·ÓÅ@¸ó»â°ì­pµe¡A2023/7/1-2024/12/31
  3. ¤£½T©wÀô¹Ò¤U¤§²`«×¾Ç²ß§Ç¦C¨Mµ¦¤ÀªR
    MOST 111-2410-H-006-043-MY3, 2022/08/01-2025/07/31
  4. ³B¤è¦¡¤ÀªR¾Ç©óª÷¿Ä¬ì§Þ®w¦s²{ª÷¹B¸É³W¹º¤§¬ã¨s
    MOST 110-2410-H-006-039, 2021/08/01¡Ð2022/07/31
  5. ³æ½Õ©Ê·¥­­¾Ç²ß¾÷¼Ò«¬©ó³æÃþ§O¤ÀÃþ¤§¬ã¨s
    MOST 109-2410-H-006-044, 2020/08/01-2021/07/31
  6. ²`«×±j¤Æ¾Ç²ßªk©óª÷¿Ä¬ì§Þ®É¶¡§Ç¦C¹w´ú¤§¬ã¨s
    MOST 108-2410-H-006-106-MY3, 2019/08/01 ¡ã 2022/07/31
  7. ²`«×³æÃþ§O¤å¥»¤ÀÃþªk©ó°»´úÃĪ«¤£¨}¤ÏÀ³¤§¬ã¨s
    MOST 108-2410-H-006-107, 2019/08/01 ¡ã 2020/07/31

  8. Áô©Ê¥DÃD¼Ò«¬©ó¸s²³¶Ò¸ê¹w´ú¤§¬ã¨s
    MOST 107-2410-H-006-046, 2018/08/01 ¡ã 2019/07/31
  9. TOPSIS¸sÅé¨Mµ¦Àô¹Ò¤U¾ã¦Xµ¦²¤¤§¬ã¨s
    MOST 105-2410-H-006-037, 2016/08/01 ¡ã 2017/07/31
  10. ¨ã¥ý«e»â°ìª¾ÃѤj«¬¤ä´©¦V¶q¾÷¤§¬ã¨s
    MOST 105-2410-H-006 -038 -MY3, 2016/08/01 ¡ã 2019/07/31
  11. ¥H½u¤W²£«~µû½×±´°Éªk«Øºc°ª¯A¤J©Ê3C²£«~¯S¼x»ù®æ¤ÀªR¼Ò«¬¤§¬ã¨s
    MOST 104-2410-H-006 -052, 8/2015-7/2016
  12. ¼Ò½k»{ª¾¹Ï¦]ªGÃö«Y¦¬ÀÄ©Ê»P«Ê³¬©Ê¤§¤ÀªR»PÀ³¥Î
    MOST 103-2410-H-006 -050, 8/2014-7/2015
  13. ¨ã»â°ì¥ý«eª¾ÃѤ@¯ë¤Æ¤ä¼µ¦V¶q¾Ç²ß¾¹¤§¬ã¨s¡G¥H³æ½Õ­­¨î¦¡SVR¡B¼Ò½kSVM»P£`-SVM¬°¨Ò
    NSC102-2410-H-006-080-MY3, 8/2013-7/2016
  14. ¾P°â±À½×¦¡±¡ºü¤ÀªR¼Ò«¬©óÅU«Èµû½×·¥¤Æ¤§¬ã¨s
    NSC102-2410-H-006-054, 8/2013-7/2014
  15. ±Ð¾ÇÀô¹Ò¤ÀªR¨t²Î«Ø¸m­pµe
    ¦¨¤j³»¦y­pµe, 6/2013-12/2013

  16. ¥H±´°É®ø¶OªÌµû½×ªk«Øºc°ò©ó«H¥ô¤§¦h·Ç«h²£«~±ÀÂ˼ҫ¬
    NSC101-2410-H-006-012, 8/2012-7/2013
  17. §ÜÂø°T»P¨ã³æ½Õ­­¨î©Ê¤ä´©¦V¶q¾÷¤§¬ã¨s
    NSC99-2410-H-006-054-MY3, 8/2010-7/2013
  18. °ò©ó¤å¥ó¶°¤§¾ðª¬·§©À¦a¹Ï¦Û°Ê«Øºcªk
    NSC98-2410-H-006-007, 8/2009-7/2010
  19. ¼s¸q¦¡¤G¦]¤l«D®ÉÅܼҽk®É¶¡§Ç¦C¹w´ú¼Ò¦¡¤§¬ã¨s
    Generalized forecasting models for two-factor time invariant fuzzy time series
    °ê¬ì·|NSC96-2416-H-006-011-MY2, 8/2007-7/2009
  20. ¨ã¥b¦Û°Ê¼h¯Å¦¡·§©ÀÂ^¨ú¾÷¨î¤§®×¨Ò¦¡±À²zª¾ÃѺ޲z¨t²Î
    A CBR-based KMS with semi-automatically elicitation of concept hierarchy
    °ê¬ì·|95-2416-H-006-039, 8/2006-7/2007
  21. ¥H¼Ò½k®É¶¡§Ç¦C¹w´úªk«Øºc¤j¾Çµù¥U¤H¼Æ¨Mµ¦¼Ò¦¡¤§¬ã¨s
    Decision-making in university enrollments using fuzzy time series forecasting models
    °ê¬ì·|NSC94-2416-H-006-019, 8/2005-7/2006

  22. ¥Hºt¤Æ¦¡¤ä¼µ¦V¶q¾÷±´°É®ø¶O©Ê¶U´Ú«H¥Îµû¦ô¨Mµ¦¤§¬ã¨s
    An evolutionary SVM-based approach to discovering decision knowledge of credit evaluation in consumer loan
    °ê¬ì·|NSC93-2416-H-006-021, 8/2004-7/2005
  23. ²Å¦XSCORM¼Ð·Çªº¥ý¶i¼Æ¦ì¾Ç²ß¨t²Î¤§¬ã¨s- ²Å¦XSCORM¼Ð·Çªº¥DÃDÃöÁp¦¡±Ð§÷¥Ø¿ýªA°È¤§¬ã¨s
    On the Design of SCORM-compliant Theme-based Content Directory Service
    °ê¬ì·|NSC93-2524-S-006-005, 5/2004-4/2005
  24. À³¥ÎOWL«ØºcOntology-basedªº¦Û¥Ñ³nÅ骾ÃѤÀ¨ÉWeb¥­¥x
    °ê¬ì·|NSC93-2218-E-327-005, ¦@¦P¥D«ù¤H, 10/2004-9/2005
  25. ¤E¤Q¤G¾Ç¦~«×ºÞ²z¤G¾Çªù±MÃD¬ã¨s­pµe¦¨ªGµoªí·|
    °ê¬ì·|NSC93-2416-H-006-049, ¦@¦P¥D«ù¤H, 10/2004-12/2005

  26. ¥Hªi¯¾²z½×»P¦Û²Õ´¬M®g¹Ï¯«¸gºô¸ô±´°É§ë¸ê¨Mµ¦ª¾ÃѤ§¬ã¨s
    Knowledge discovery with wavelet theory and SOM in investment strategy
    °ê¬ì·|NSC92-2416-H-006-044, , 8/2003-7/2004
  27. ²Å¦XSCORM¼Ð·Çªº¤À´²¦¡LMS¾Ç²ß¤¸¥ó¦@¨É¥­¥x»P¥Ø¿ýªA°È¤§³]­p(2/2)
    On the Design of Framework and Directory Service of Distributed SCORM-compliant LMS Components
    °ê¬ì·|NSC92-2524-S-006-004, 1/2003-4/2004
  28. ¤g¥Û¬y¨¾¨aª¾ÃѺ޲z±À°Ê»P«Å¾É
    ¦æ¬F°|¹A©e·|¤ô«O§½ 921211396, 12/2003-12/20/2004
  29. ¶}©ñ·½½X©óProtege-2000ª¾ÃѺ޲z±À²z¾÷¤§¬ã¨s»PÀ³¥Î
    °ê¬ì·|NSC92-2218-E-327-002, ¦@¦P¥D«ù¤H, 12/2003-10/2004

  30. °]³ø±M®a¤ºÁô¨Mµ¦ª¾Ãѵo²{¤§¬ã¨s
    °ê¬ì·| NSC91-2416-H-327-003,
  31. ²Å¦XSCORM¼Ð·Çªº¤À´²¦¡LMS¾Ç²ß¤¸¥ó¦@¨É¥­¥x»P¥Ø¿ýªA°È¤§³]­p(1/2)
    °ê¬ì·| NSC91-2520-S-327-001, 5/2002-12/2002
  32. ²£·~¤uµ{ª¾ÃÑ®w¾ã¦X»PºÞ²z¼Ò¦¡¬ã¨s
    ª÷Äݤu·~¬ã¨sµo®i¤¤¤ß©e°U¦X§@¬ã¨s­pµe91B00021, 1/2002-12/2002
  33. ª¾ÃѺ޲z§Þ³N©ó¤g¥Û¬y¨¾±Ï¨aÀ³¥Î¤§¥i¦æ©Ê¬ã¨s
    ¦æ¬F°|¹A©e·| ¤E¤@¹A°òª÷-¤­¡E¤@-ªL-¤Q¤G, 8/2002-12/2002
  34. ±Æ½Ò°ÝÃDµw©Ê¤Î³n©Ê­­¨î¤§¬ã¨s
    °ê¬ì·| NSC91-2416-H-327-006, ¦@¦P¥D«ù¤H
  35. ºÞ²z¤@¤ÎºÞ²z¤G¾Çªù±M·~´Á¥Zµû¤ñ±Æ§Ç±M®×­p¹º
    °ê¬ì·|NSC 91-2416-H-110-043, ¦@¦P¥D«ù¤H, 8/2002-4/2003
  36. «Ø¥ß¤¤¤p¥ø·~°]°È¦M¾÷°·À˨t²Î¥i¦æ©Ê¬ãªR
    ¤¤µØ¥Á°êºÞ²z¬ì¾Ç¾Ç·|91B00025, ¦@¦P¥D«ù¤H, 6/2002-11/2002

  37. ¥H¸T§Ò·j´M¼W±j°ò¦]ºtºâªk©ó±Òµo¦¡³Ì¨Î¤Æ¤§¬ã¨s
    °ê¬ì·| NSC90-2416-H-327-012
  38. ¤¤¤p«¬»s³y·~§Y®É±Æµ{¬[ºc
    °ê¬ì·| NSC90-2416-H-327-011 ¦@¦P¥D«ù¤H

  39. À³¥ÎHeuristic Learning¤èªk¸Ñ¨M¦³­­¸ê·½ªº­p¹º±Æµ{°ÝÃD¤§¬ã¨s
    °ê¬ì·| NSC89-2416-H-327-031 ¦@¦P¥D«ù¤H
  40. ¹q¤l°Ó°È«á¶Ôª«¬yªA°È¨t²Î¤§¬ã¨s»P¶}µo
    °ê¬ì·| NSC89-2626-H-327-004 ¦@¦P¥D«ù¤H
  41. On the Robust Locally-tuned Neural Networks Resistant to Outliers
    §ÜÂ÷¸s­È¤§±j¶´«¬°Ï°ì½Õ¾ã¦¡Ãþ¯«¸gºô¸ô¤§¬ã¨s
    °ê¬ì·| NSC89-2213-E-327-007
  42. §Ú°ê¸ê°T¬ÛÃö²£·~Ävª§µ¦²¤¼Ò¦¡¤§·JÁ`¬ã¨s
    (°ê¬ì·| NSC89-3011-P-327-001

  43. ¥HJava¹Bºâ¬°¾÷¨î¤§«D¦P¨B»·¶Z±Ð¾Ç¨t²Î
    ±Ð¨|³¡¤K¤Q¤C¾Ç¦~«×»·¶Z±Ð¾Ç­p¹º
  44. ¤H¾÷¤¶­±¦w¥þ½Ã¥Í³]­p³W½d¬ã¨s--¹q¸£¼ÒÀÀµû¦ô¬ã¨s
    ¦æ¬F°|³Ò©e·|³Ò¤u¦w¥þ½Ã¥Í¬ã¨s©Ò IOSH87-H121 ¦@¦P¥D«ù¤H
  45. §Ú°ê¸ê°T¬ÛÃö²£·~Ävª§µ¦²¤¼Ò¦¡¤§·JÁ`¬ã¨s
    °ê¬ì·| NSC88-3011-P-327-001

  46. Multiscale-based Study in the Cluster Analysis of Temporal Data
    ¥H¦h­«¤Ø«×¬°°ò¦ªº®É¶¡©Ê¸ê®Æ¸s»E¤ÀªR¤§¬ã¨s
    °ê¬ì·| NSC87-2213-E-327-001
  47. On the Design of Positive-Breakdown Radial Basis Function Networks and Application in Time-series Analysis
    °ªÂ_§é«¬´T®|°ò©³¨ç¼ÆÃþ¯«¸gºô¸ô¤§³]­p»P¤ÀªR¤Î¨ä¦b®É¶¡§Ç¦C¤ÀªR¤WªºÀ³¥Î
    °ê¬ì·| NSC86-2213-E-327-002

Industrial Projects

°ê¬ì·|¤j±M¾Ç¥Í°Ñ»P±MÃD¬ã¨s­pµe

´Á¥ZÂø»x±M¤å

  1. AI Amplifies Experts, Not Expertise. Nature Human Behaviour, World View, accepted for publication, Sept. 2026.
  2. When AI Thinks with You: Governing the Strategic Reasoning of the Firm. California Management Review Insights, Aug. 24, 2026.
  3. I Think, Therefore AI Connects. AI & SOCIETY (ESCI), Curmudgeon Corner, June 16, 2026.

  4. ´¼¼zÂåÀø¡A³Ì©ÈÅU¦¹¥¢©¼¡G¥H·ÓÅ@¬°¼Ï¡AÅýAI±q³æÂI¨«¦V¥þ°|, «¢¦ò°Ó·~µû½×¡A2026/9/8¡C
  5. ¬°¾Ç¤é¯q¡A¬°¹D¤é·l¡GAI®É¥Nªº´îªkºÞ²z, «¢¦ò°Ó·~µû½×¡A2026/8/7¡C
  6. AI¼Ò«¬¬O¥ø·~¤§Ãè¡G»â¾É¤H¦p¦ó°Ñ³z²Õ´ªº¶ì§Î¤­¤O, «¢¦ò°Ó·~µû½×¡A2026/7/13¡C
  7. ¥N²z¦¡AI®É¥Nªº·í³d«äºû¡GAIÄw¥þ§½¡A¨Mµ¦ªÌ¨D¡u©ñ¤ß¡v, «¢¦ò°Ó·~µû½×¡A2026/6/10¡C

  8. ·íOpenAIÅܦ¨ClosedAI¡G¥ø·~¦p¦ó«ùÄòµ½¥ÎAI¥Í¸q¤O, «¢¦ò°Ó·~µû½×¡A2025/11/19¡C
  9. §Ú«ä¬GAI³s¡G´x´¤»y¸q³õ¸`ÂI¡A­«¶ìÄvª§Àu¶Õ, «¢¦ò°Ó·~µû½×¡A2025/9/1¡C
  10. §ïÅÜ¥@¬Éªº¤£¬OGPT¡A¦Ó¬O¡uChat¡v¡G¹ï¸Ü¦¡AI¤ÞÃz¥ø·~­²©R, «¢¦ò°Ó·~µû½×¡A2025/5/7¡C

  11. ¥´³y°Ó·~¨ô¶VÂŹϡG¼Æ¾Ú¡Ð¼Æ¦ì¡Ð°Ó·~µ¦²¤ªº¦³®Ä¿Ä¦X¡A«¢¦ò°Ó·~µû½×¡A2024/5/23¡C
  12. NFT°±¬ÝÅ¥¡A¦w¤ß±u«âWeb3¡A«¢¦ò°Ó·~µû½×¡A2022/7/14¡C
  13. ¼ÆÂà°®©[¢w¥ø·~¼Æ¦ìÂ૬¤§µ¦²¤³W¹º»P¤ßªk¡A«¢¦ò°Ó·~µû½×¡A2022/3/16¡C
  14. «Ø¥ß°Ï¶ôÃì¥i¦æªº°Ó·~¼Ò¦¡¡A«¢¦ò°Ó·~µû½×¡A2021/12/21¡C
  15. ¦³¾÷¦¡ª¾ÃѺ޲z¡A¬ì¾Çµo®i¡A442 ´Á¡A2009 ¦~10 ¤ë¡C

Textbooks authorized

  1. °Ï¶ôÃìNFT»PWeb3¹ê°ÈÀ³¥Î(½sµÛ)¡AùÖ®p¸ê°T, 2023¦~4¤ë¤@ª©
  2. ¥[±K³f¹ô¸t¸g¡G¼Æ¦ì³f¹ô¡B¼Æ¦ì¸ê²£¡B¥[±K¥æ©ö»P°Ï¶ôÃ쪺¹L¥h»P¥¼¨Ó (¼f©w), ¤Tªö¤å¤Æ¡A2022¦~4¤ë
  3. °Ï¶ôÃì´¼¯à¦X¬ù»PDApp¹ê°ÈÀ³¥Î(½sµÛ), ùÖ®p¸ê°T, 2019¦~5¤ë¤@ª©
  4. Android¶³ºÝ¹ê°Èµ{¦¡³]­p(½sµÛ), ùÖ®p¸ê°T, 2012¦~2¤ë¤@ª©
  5. ¨Mµ¦¤ä´©»P¥ø·~´¼¼z¨t²Î(¼f©w), µØ®õ¤å¤Æ, 2011¦~8¤ë¤@ª©
  6. Javaª«¥ó¾É¦Vµ{¦¡³]­p(½sµÛ), ºX¼Ð¥Xª©, 2007¦~11¤ë¤@ª©
  7. Java Web Services¹ê°Èµ{¦¡³]­p(½sµÛ), ºX¼Ð¥Xª©, 2004¦~6¤ë¤@ª©
  8. Java¹ê°Èµ{¦¡³]­p(½sµÛ), ºX¼Ð¥Xª©, 2004¦~7¤ë¤@ª©4¨ê
  9. Java¶i¶¥¹ê°È³]­p(½sµÛ), ¾§ªL¹Ï®Ñ¤½¥q, 2002¦~4¤ë18¤é
  10. Java¹ê¥Îµ{¦¡³]­p(½sµÛ), ªQ±^¹Ï®Ñ, 2001¦~3¤ë¤@ª©8¨ê
  11. JDBC»P¸ê®Æ®w¤§³]­p(½sĶ), ªQ±^¹Ï®Ñ, 1998
  12. ¸ê®Æµ²ºc--¨Ï¥ÎC»y¨¥(½sĶ), ªQ±^¹Ï®Ñ, 1990, ¤@ª©14¨ê

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