2018

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.
Zhao Tian, Yu-Lin Wei, Wei-Nin Chang, Xi Xiong, Changxi Zheng, Hsin-Mu Tsai, Kate Lin, and Xia Zhou, “Augmenting Indoor Inertial Tracking with Polarized Light”, in ACM MobiSys 2018, Munich, Germany, 2018.
Ya-Fang Lin, Yi-Ju Chuang, Chuang-Wen You, Yaliang Chuang, Bo-Fu Liu, Huming Chang, and Ming-Chyi Huang, “Neither One is Enough: Exploring the Use of Wrist-worn Activity Trackers to Assist Acute Psychiatric Healthcare”, in Designing Interactive Systems (DIS 2018),, Hong Kong, 2018.
David Chung, Mathias Funk, Rung-Huei Liang, and Lin-Lin Chen, “Explorations on Reciprocal Interplay in Things Ecology”, in Designing Interactive Systems (DIS 2018), Hong Kong, 2018.
Wenn-Chieh Tsai, David Chung, Yu-Ting Cheng, and Rung-Huei Liang, “Once Upon a Future: An Audio Drama Game for Episodic Imagination”, in Designing Interactive Systems (DIS 2018), Hong Kong, 2018.
Yuan-Yao Hsu, Wenn-Chieh Tsai, Wan-Chen Lee, and Rung-Huei Liang, “Botanical Printer: An Exploration on Interaction Design with Plantness”, in Designing Interactive Systems (DIS 2018), Hong Kong, 2018.
Meng-Ju Hsieh, Rong-Hao Liang, Da-Yuan Huang, Jheng-You Ke, and Bing-Yu Chen, “RFIBricks: Interactive Building Blocks Based on RFID”, in ACM SIGCHI 2018, Montréal, Canada, 2018.
Yaliang Chuang, Lin-Lin Chen, and Yoga Liu, “Design vocabulary for human–IoT systems communication”, in ACM SIGCHI 2018, Montréal, Canada, 2018.
Pei-Yun Tu, Chien Wen Yuan, and Hao-Chuan Wang, “Do You Think What I Think: Perceptions of Delayed Instant Messages in Computer-Mediated Communication of Romantic Relations”, in ACM SIGCHI 2018, Montréal, Canada, 2018.
Ching Liu, Juho Kim, and Hao-Chuan Wang, “ConceptScape: Collaborative Concept Mapping for Video Learning”, in ACM SIGCHI 2018, Montréal, Canada, 2018.
Wei-Jen Lee, Syu-Siang Wang, Yu Tsao, Xugang Lu, Fei Chen, and Shao-Yi Chien, “Speech Dereverberation Based on Integrated Deep and Ensemble Learning Algorithm”, in IEEE ICASSP, Calgary, Alberta, Canada, 2018.
Kai-Ni Hou, Ting-Sheng Chen, Hung-Chi Kuo, Tzu-Hsuan Chen, and An-Yeu (Andy) Wu., “Low-Complexity Secure Watermark Encryption for Compressed Sensing-Based Privacy Preserving”, in Proc. IEEE Int. Conf. Acoust. Speech, Signal Processing (ICASSP-2018), Calgary, Alberta, Canada, 2018.
Richard Chow and Hsin-Mu Tsai, “Securing the Visual Channel: How My Car Saw the Light and Stopped Learning”, in Annual Conference on Information Sciences and Systems(CISS), Princeton, NJ, 2018.
Ching-Yao Chou, En-Jui Chang, Huai-Ting Li, and An-Yeu (Andy) Wu, “Low-Complexity Privacy-Preserving Compressive Analysis Using Subspace-based Dictionary for ECG Telemonitoring System”, IEEE Transaction on Biomedical Circuits and Systems, vol. 12, no. 4, 2018.
Neils Reijer, Joshua Ellul, and Chi-Sheng Shih, “Making sensor node virtual machines work for real-world applications”, IEEE Embedded Systems Letters, 2018.
Mathias Funk, Lin-Lin Chen, Yen-Kuang Chen, and Shao-Wen Yang, “Addressing the Need to Capture Intentions and Scenarios: Interactive Intentional Programming in the Smart Home”, The Special Issue on Designing for Systems of Smart Things in the International Journal of Design, vol. Vol. 12(1), 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.

2017

Wen-Hsuan Shen and Hsin-Mu Tsai, “Testing Vehicle-to-Vehicle Visible Light Communications in Real-World Driving Scenarios”, in Vehicular Networking Conference (VNC), 2017 IEEE, Torino, Italy, 2017.
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.

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