瀏覽人次: 7565853
基本資料   
賴冠廷 助理教授
Kuan-Ting Lai
聯絡資料 個人網站連結: 實驗室連結: 電子信箱: ktlai@ntut.edu.tw
聯絡電話:0227712171 #2275
現職 臺北科大/電子工程系
授課資訊 連結
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精通專長   
  • Computer Vision, Deep Learning, Machine Learning, Internet of Things
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期刊論文   
  • "TAGNet: Triplet-Attention Graph Networks for Hashtag Recommendation", IEEE Transactions on Circuits and Systems for Video Technology, SCI, 2021/04/01
  • "Who is the boss? Identifying key roles in telecom fraud network via centrality-guided deep random walk", Data Technologies and Applications, 1-18, SCI, 2020/11/01
  • "AnyCharge: An IoT-Based Wireless Charging Service for the Public", IEEE INTERNET OF THINGS JOURNAL, 14, SCI, 2019/12/01
  • Amar R Marathe, Jason S Metcalfe, Brent J Lance, Jamie R Lukos, David Jangraw, Kuan-Ting Lai, Jonathan Touryan, Ethan Stump, Brian M Sadler, William Nothwang, Kaleb McDowell, The privileged sensing framework: A principled approach to improved human-autonomy integration, Theoretical Issues in Ergonomics Science, 19(3), 283-320, 2018/5
  • Kuan-Ting Lai, Dong Liu, Shih-Fu Chang, Ming-Syan Chen, Learning sample specific weights for late fusion, IEEE Transactions on Image Processing, 24 (9), 2772-2783, 2015/9
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研討會論文   
  • "Efficient Two-stream Action Recognition on FPGA", Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 線上, 2021/06/19
  • "Learning Pothole Detection in Virtual Environment", International Automatic Control Conference (CACS), Taichung, 2020/11/05
  • "An Efficient and Resource-Aware Hashtag Recommendation using Deep Neural Networks", The 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Macau, 2019/04/14
  • David Kao, Kuan-Ting Lai, Ming-Syan Chen, An Efficient and Resource-Aware Hashtag Recommendation using Deep Neural Networks, The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2019/4
  • "VIVID: Virtual Environment for Visual Deep Learning", ACM International Conference on Multimedia, Seoul, 2018/10/22
  • Kuan-Ting Lai, Chia-Chih Lin, Chun-Yao Kang, Mei-Enn Liao, Ming- Syan Chen, VIVID: Virtual Environment for Visual Deep Learning, ACM International Conference on Multimedia, 2018/10
  • Yi-Chun Chang, Kuan-Ting Lai, Seng-Cho T. Chou, Ming-Syan Chen, Mining the Networks of Telecommunication Fraud Groups using Social Network Analysis, Advances in Social Networks Analysis and Mining (ASONAM), 2017/7
  • Kuan-Ting Lai, Dong Liu, Ming-Syan Chen, Shih-Fu Chang, Recognizing Complex Events in Videos by Learning Key Static-dynamic Evidences, European Conference on Computer Vision (ECCV), 2014/9
  • Kuan-Ting Lai, Felix Yu, Ming-Syan Chen, Shih-Fu Chang, Video Event Detection by Inferring Temporal Instance Labels, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014/7
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榮譽獎項   
  • ACM Multimedia 2018 Best Open Source Software, Association for Computing Machinery (ACM), 2018/10 連結
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