{"id":1633,"date":"2026-03-30T00:24:37","date_gmt":"2026-03-29T16:24:37","guid":{"rendered":"https:\/\/cchsu.info\/wordpress\/zh\/activities\/"},"modified":"2026-04-01T18:09:56","modified_gmt":"2026-04-01T10:09:56","slug":"activities","status":"publish","type":"page","link":"https:\/\/cchsu.info\/wordpress\/zh\/activities\/","title":{"rendered":"\u6d3b\u52d5"},"content":{"rendered":"

\u8a9e\u8a00\uff1a<\/strong>English<\/a> | \u7e41\u9ad4\u4e2d\u6587<\/p>\n

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  1. \u53d7\u9080\u6f14\u8b1b\u66a8\u8207\u8ac7\u4e3b\u6301\uff0cEmbodied AI and Applications\uff0cNYCU AI Forum 2026\uff0cJul. 2026, Hsinchu, Taiwan.<\/li>\n
  2. \u7dda\u4e0a\u53d7\u9080\u6f14\u8b1b\uff0cMisinformation and DeepFake\uff0cGraduate Institute of Library and Information Science, National Chung Hsing University\uff0cMar. 2026.<\/li>\n
  3. \u53d7\u9080\u6f14\u8b1b\uff0cUsing NCHC Computing Resources to Enhance International Competition Performance\uff0cNCHC HPC\/AI Users Conference\uff0cDec. 2025, Tainan, Taiwan.<\/li>\n
  4. \u4eae\u9ede\u6280\u8853\u767c\u8868\uff0cTrusted Media Defense Shield\uff08\u5171\u9451\u6167\u773c\uff1a\u5373\u6642\u53ef\u4fe1\u5a92\u9ad4\u9632\u885b\u76fe\uff09\uff0cTIE Future Tech Pavilion\uff0cOct. 2025, Taipei, Taiwan.<\/li>\n
  5. \u53d7\u9080\u5de5\u4f5c\u574a\u8b1b\u8005\uff0cAI Image Forensics and Verification Workshop (Second Session)\uff0cFactLink \u00d7 Institute for Information Industry \u00d7 Doublethink Lab\uff0c25 Sep 2025.<\/li>\n
  6. \u53d7\u9080\u8207\u8ac7\uff0cTread of DeepFakes\uff0cFactLink\uff0c15 Aug 2025.<\/li>\n
  7. \u5b83\u5728\u4e00\u672c\u6b63\u7d93\u5730\u80e1\u8aaa\u516b\u9053\u55ce\uff1f\u570b\u7acb\u81fa\u7063\u5716\u66f8\u9928-\u591a\u5143\u95b1\u8b80\u63a8\u5ee3\u8a08\u756b, 2 July 2025.<\/li>\n
  8. \u4ee5\u5b50\u4e4b\u77db\uff0c\u653b\u5b50\u4e4b\u76fe\uff1a\u4eff\u88fd\u3001\u5be6\u4f5c\u3001\u9a57\u8b49, \u570b\u7acb\u81fa\u7063\u5716\u66f8\u9928-\u591a\u5143\u95b1\u8b80\u63a8\u5ee3\u8a08\u756b, 3 July 2025.<\/li>\n
  9. Generalizable Medical Image Representation Learning:\u00a0HiDeNet, Few-Shot Detection, and Generative Models, Taipei Medical University, 25 June 2025.<\/li>\n
  10. Generative Models and Generated Information Detection: In Practice, National Pingtung University of Science and Technology, 22 June 2025.<\/li>\n
  11. AI\u6642\u4ee3\u6df1\u507d\u8a50\u9a19\u7684\u5d1b\u8d77\u8207\u53cd\u64ca\u7b56\u7565, \u570b\u7acb\u8208\u5927\u9644\u8fb2, 23 June 2025.<\/li>\n
  12. DeepFake Generation and Detection: In Practice, National Tainan Second Senior High School (\u81fa\u5357\u4e8c\u4e2d), 25 June 2025.<\/li>\n
  13. Generative Models and Generated Information Detection, National Pingtung University of Science and Technology, 22 June 2025.<\/li>\n
  14. AI\u4e5f\u6709\u570b\u7c4d\uff1f\u4e3b\u6b0aAI\u8207\u570b\u5bb6\u8a8d\u540c, Research Center for Humanities and Social Sciences, National Cheng Kung University, 12 May 2025.<\/li>\n
  15. From 2D Pixels to nD Realities: The AI Revolution in Multilinear Super-Resolution, CSIE, National Cheng Kung University, 10 May 2025.<\/li>\n
  16. Confronting the Evolution of\u00a0DeepFake<\/span>: From Generative Models to Detection Challenges, E.E., National Tsing Hua University, 2 May 2025.<\/li>\n
  17. \u771f\u5047\u96e3\u8fa8\u2014AI\u6df1\u507d\u8a50\u9a19\u7684\u5d1b\u8d77\u8207\u53cd\u64ca\u7b56\u7565, National Tainan Second Senior High School (\u81fa\u5357\u4e8c\u4e2d), 22 April 2025.<\/li>\n
  18. From 2D Pixels to nD RealitiesThe AI Revolution in Multilinear Super-Resolution, National Chung Cheng University, 31 March 2025.<\/li>\n
  19. From Clinical Segmentation to Data Harmonization-Enhancing Medical Imaging with Super-Resolution Techniques, Future of Medical AI Workshop, Chang-Geng Medical Foundation Keelung Chang-Geng Memorial Hospital, 29 March 2025.<\/li>\n
  20. AI\u6df1\u507d\u8a50\u6b3a, \u8cc7\u5b89\u5be6\u52d9\u8b1b\u5ea7, National Chung Cheng University, 6 March 2025.<\/span><\/li>\n
  21. DeepFake Detection: Trends and Challenges, Feng Chia University, 25 Nov., 2024.<\/li>\n
  22. DeepFake Detection: Trends and Challenges, National Pingtung University, 7 Nov., 2024.<\/li>\n
  23. DeepFake Detection: Trends and Challenges, National Yunlin University of Science and Technology, 30 Oct., 2024.<\/li>\n
  24. DeepFake Detection: Trends and Challenges, Lingtun University of Science and Technology, 23 May 2024.<\/li>\n
  25. Keynote Speaker,<\/strong> AI Detection Tool Development Status, in workshop Combating Fake News and Information Warfare in the Era of AI (TFC), 27 July 2024.<\/li>\n
  26. Generative Models: Double-Edged Swords for Deepfake Creation and Detection, ASE (\u65e5\u6708\u5149), 13 May 2024.<\/li>\n
  27. \u4ee5\u5927\u8a9e\u8a00\u6a21\u578b\u9032\u884c\u5149\u5b78\u7455\u75b5\u6aa2\u6e2c, Joint Workshop with DeepMentor, National Yang Ming Chiao Tung University, 15 March 2024.<\/li>\n
  28. Keynote Speaker<\/strong>, AI\u5f71\u50cf\u7684\u67e5\u8b49\u5de5\u5177\u8207\u4fb7\u9650, Tackling\u00a0Misinformation Workshop, Taiwan Fact-Check Center, 13 Oct. 2023.<\/li>\n
  29. \n
    Breaking the Mask: Innovative Approaches for Robust Deepfake Detection and Future Threats in Generative AI Era, CSIE, National Yunlin University, 12 Apr. 2023.<\/div>\n<\/li>\n
  30. \n
    Breaking the Mask: Innovative Approaches for Robust Deepfake Detection and Future Threats in Generative AI Era, Dept. of Photonics, 31 March 2023.<\/span><\/div>\n<\/li>\n
  31. Image Super-resolution: From 2D to ND, \u7d71\u8a08\u5b78\u8853\u7814\u8a0e\u6703, 9 Dec. 2022.<\/li>\n
  32. Keynote Speaker<\/strong>, VIP: Visual Information Processing based on Pairwise Learning, IEEE International Conference on Computation, Communication and Engineering 2022, 4 Nov. 2022.<\/li>\n
  33. Image Super-resolution: From 2D to ND, College of Artificial Intelligence, National Yang Ming Chiao Tung University, 21 Oct. 2022.<\/li>\n
  34. Image Super-resolution: From 2D to ND, Department of Electrical Engineering, National Cheng Kung University, 29 Sept. 2022.<\/li>\n
  35. VIP: Visual Information Processing based on Pairwise Learning, Department of Statistics, National Chiao Tung University, 20 May 2022.<\/li>\n
  36. VIP: Visual Information Processing based on Pairwise Learning, Department of Statistics, Tamkang University, 21 Apr. 2022.<\/li>\n
  37. Semi-supervised Learning for Visual Signal Processing, Department of CS, National Chiao Tung University, 20 Apr. 2022.<\/li>\n
  38. Adaptive Distribution Learning with Statistical Hypothesis Testing for COVID-19 CT Scan Classification, Kaohsiung Medical University, 23 Feb.\u00a02022.<\/li>\n
  39. Keynote Speaker<\/strong>, Multilinear Data Super-Resolution: 2-D to N-D, in Future Impact of AI in Real-World Applications ACPR Workshop, Jeju Island, Korea<\/em>, 12 Nov 2021.<\/li>\n
  40. VIP: Visual Information Processing based on semi- and self-supervised learning, National Tsing Hua University, 11, Nov. 2021<\/li>\n
  41. VIP: Visual Information Processing based on semi- and self-supervised learning, National Kaohsiung University, 10 Nov 2021.<\/li>\n
  42. Adaptive Distribution Learning with Statistical Hypothesis Testing for COVID-19 CT Scan Classification, National Tsing Hua University (Department of Electrical Engineering), 5 Nov 2021.<\/li>\n
  43. Multilinear Data Super-Resolution: 2-D to N-D, National Tsing Hua University (Department of Industrial Engineering and Engineering Management), 4 Nov 2021.<\/li>\n
  44. How to Do Research for A Startup Idea. National United University, 9 Sept. 2021.<\/li>\n
  45. DeepFake Detection: Trends and Challenges, National Tsing Hua University, 28, May 2021.<\/li>\n
  46. DeepFake Detection: Trends and Challenges, National Cheng Kung University, 27, May 2021.<\/li>\n
  47. Deep Learning: Theory and Practice, National Yunlin University of Science and Technology, 5 Dec. 2020.<\/li>\n
  48. Image Super-resolution: From 2D to ND, National Chin-Yi University of Technology, 18 Nov. 2020.<\/li>\n
  49. VIP: Visual Information Processing based on Pairwise Learning, National Taiwan Ocean University, 17 Nov. 2020.<\/li>\n
  50. Supervised and Semi-supervised Learning for Image Recognition, Keimyung University (Korea), 2 August 2020. (Host by Prof. Ko, Byoung Chul)<\/li>\n
  51. VIP: Visual Information Processing based on Pairwise learning, National Kaohsiung University of Science and Technology, 25 May 2020.<\/li>\n
  52. Convolutional Neural Networks for Visual Recognition, National Kaohsiung Normal University, 5 May 2020.<\/li>\n
  53. VIP: Visual Information Processing based on Pairwise learning, National Cheng-Kung University, 30 April 2020<\/li>\n
  54. VIP: Visual information processing based on deep semi-supervised learning, National Chung-Cheng University, 29 April 2020<\/li>\n
  55. Deep Semi-supervised Learning for Computer Vision Applications, National Chin-Yi University of Technology, 28, April 2020.<\/li>\n
  56. Fake Face Detection, National Chung-Cheng University, 30 March 2020.<\/li>\n
  57. Fake or Real? GAN and AntiGAN, National Pingtung University of Science and Technology, 14 March 2020.<\/li>\n
  58. Fake or Real? GAN and AntiGAN, National Pingtung Girls’ Senior High School (\u5c4f\u6771\u5973\u4e2d\uff0c\u79d1\u666e\u8b1b\u5ea7), 13 March 2020.<\/li>\n
  59. Deep Semi-supervised Learning for Computer Vision Applications, National Chung-Cheng University, 14, Feb. 2020.<\/li>\n
  60. Deep learning: Theory and Practice, National Chung-Cheng University, 3 Nov. 2019.<\/li>\n
  61. Convolutional Neural Networks: A Practice, National Normal Taiwan University, 4 Nov. 2019<\/li>\n
  62. Deep Semi-supervised Learning for Computer Vision Applications, National Cheng-Kung University, 3, Oct. 2019.<\/li>\n
  63. Fake or Real? GAN and AntiGAN, National Pingtung University, 2 Oct. 2019.<\/li>\n
  64. Deep learning: Theory and Practice (Ph.D. Students),\u00a0National Yunlin University of Science and Technology,\u00a011 May 2019.<\/li>\n
  65. Deep learning: Theory and Practice (Undergraduate Students),\u00a0National Yunlin University of Science and Technology,\u00a022 March 2019.<\/li>\n
  66. Introduction to Fake Image Detection, JP-TW MM\/HCI Workshop,\u00a0National Cheng-Kung University,\u00a013-14 April 2019.<\/li>\n
  67. Introduction to Technical Writing, Writing Center, National Tsing-Hua University,\u00a012 December 2018.<\/li>\n
  68. Deep Unsupervised Learning: Generative Models in Deep Learning,\u00a0National United University,\u00a011 June 2018.<\/li>\n
  69. Unsupervised Learning: Generative Adversarial Net and Its Applications,\u00a0National Chung Hsing University,\u00a020 December 2017.<\/li>\n
  70. From Keras to Tensorflow: A Practice,\u00a0National Yunlin University of Science and Technology,\u00a018 December 2017.<\/li>\n
  71. Deep Learning in Python,\u00a0National United University,\u00a011 December 2017.<\/li>\n
  72. Introduction to AI,\u00a0Da-Yeh University,\u00a027 November 2017.<\/li>\n
  73. Unsupervised Learning and Its Applications,\u00a0National Chung Cheng University,\u00a022 November 2017.<\/li>\n
  74. Deep learning in Python,\u00a0National Yunlin University of Science and Technology,\u00a08 November 2017.<\/li>\n
  75. Deep learning: Theory and Practice, National United University,\u00a023 October 2017.<\/li>\n
  76. AI-CAD for NBI endoscopy,\u00a0Hsinchu & Beijing Tsing-Hua Conference (\u5169\u5cb8\u6e05\u83ef\u79d1\u6280\u8ad6\u58c7),\u00a017 October 2017.<\/li>\n
  77. Deep learning: Theory and Practice,\u00a0National Yunlin University of Science and Technology,\u00a06 October 2017.<\/li>\n
  78. CNN-based large-scale image clustering and representation learning,\u00a0Tai-CHI Workshop,\u00a09 August 2017.<\/li>\n
  79. Inside AI: Deep learning and its applications,\u00a0Chienkuo Technology University,\u00a01 November 2016.<\/li>\n
  80. Deep learning for visual recognition,\u00a0National Yunlin University of Science and Technology,\u00a025 May 2016.<\/li>\n
  81. Research and Work,\u00a0National Yunlin University of Science and Technology<\/em>,<\/em>\u00a01 September 2012.<\/li>\n
  82. Ph.D. Workshop: Image super-resolution, National Symposium on Telecommunications<\/em>, 19 Nov. 2011.<\/li>\n
  83. Research and Practice,\u00a0National Yunlin University of Science and Technology<\/em>, 1 Nov. 2010.<\/li>\n<\/ol>\n
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