Adrian Chriswanto, Hsing-Kuo Pao, and Yuh-Jye Lee, A Unified Approach on Active Learning Dual Supervision, in IJCNN 2019, Budapest, Hungary, 2019.
Hsing-Kuo Pao, FONG-FUEI LEE, and Yuh-Jye Lee, Dealing with Interleaved Event Inputs for Intrusion Detection, Journal of Information Science and Engineering, vol. 35, 2019.


Vahid Golderzahi and Hsing-Kuo Pao, Understanding Customers and Their Grouping via WiFi Sensing for Business Revenue Forecasting, in 14th International Conference on Machine Learning and Data Mining (MLDM 2018), New York, 2018.
Chih-Hung Lin, Hsing-Kuo Pao, and Jian-Wei Liao, Efficient Dynamic Malware Analysis Using Virtual Time Control Mechanics, Computers and Security, vol. vol.73, 2018.


Er-Chen Huang, Hsing-Kuo Pao, and Yuh-Jye Lee, Big Active Learning, in IEEE International Conference on Big Data(Big Data 2017), Boston, MA, USA, 2017.
Tao-Yi Lee, Yuh-Jye Lee, Hsing-Kuo Pao, You-Hua Lin, and Yi-Ren Yeh, Elastic Motif Segmentation and Alignment of Time Series for Encoding and Classification, in The Thirty-second Annual Conference on Neural Information Processing Systems (NIPS 2017), Time Series Workshop, Long Beach, USA, 2017.


Yuh-Jye Lee, Hsing-Kuo Pao, Shueh-Han Shih, Jing-Yao Lin, and Xin-Rong Chen, Compressed Learning for Time Series Classification, in 2016 IEEE International Conference on Big Data (Big Data), Washington, DC, USA, 2016.
Alexander Chen, Hsing-Kuo Pao, and Yuh-Jye Lee, Online Traffic Speed Forecasting Considering Multiple Periodicities and Complex Patterns, in KDD Machine learning for large scale transportation systems (LSTS) 2016, San Fransisco, USA, 2016.