2019
Hsun-An Chiang, Cheng-Shao Chiang, and Chi-Sheng Shih, "Using Collaged Data Augmentation to Train Deep Neural Net with Few Data", in International Conference on Medical Imaging with Deep Learning – Extended Abstract Track, 2019.
Adrian Chriswanto, Hsing-Kuo Pao, and Yuh-Jye Lee, "A Unified Approach on Active Learning Dual Supervision", in 2019 International Joint Conference on Neural Networks (IJCNN), pp. 1-8.
Wen-Hsuan Shen, "Vehicular Visible Light Communication with Dynamic Vision Sensor", in The ACM MobiSys 2019 on Rising Stars Forum, New York, NY, USA: Association for Computing Machinery, pp. 25–30.
Kun-Li Lin, Chi-Sheng Shih, and Jia-Ru Li, "From Rail to Railless: Retrofitting Servicing Buses for Safe Autonomous Public Transportation", in 2019 IEEE International Conference on Embedded Software and Systems (ICESS), pp. 1-8.
Tzu-Chun Tai, Kate Ching-Ju Lin, and Yu-Chee Tseng, "Toward Reliable Localization by Unequal AoA Tracking", in Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services, New York, NY, USA: Association for Computing Machinery, 2019, pp. 444–456.
Chih-Ting Liu, Man-Yu Lee, Chih-Wei Wu, Bo-Ying Chen, Tsai-Shien Chen, Yao-Ting Hsu, and Shao-Yi Chien, "Supervised Joint Domain Learning for Vehicle Re-Identification", in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019.
Hao-Ping Wu, "Intelligent Parking Management System Utilizing RFID", in The ACM MobiSys 2019 on Rising Stars Forum, New York, NY, USA: Association for Computing Machinery, pp. 37–41.
Jyun-Yi Wu, Cheng Yu, Szu-Wei Fu, Chih-Ting Liu, Shao-Yi Chien, and Yu Tsao, "Increasing compactness of deep learning based speech enhancement models with parameter pruning and quantization techniques", IEEE Signal Processing Letters, vol. 26, no. 12, 2019, pp. 1887–1891.
Yi-Chen Chen, Sung-Feng Huang, Hung-yi Lee, Yu-Hsuan Wang, and Chia-Hao Shen, "Audio Word2vec: Sequence-to-Sequence Autoencoding for Unsupervised Learning of Audio Segmentation and Representation", IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 27, no. 9, 2019, pp. 1481-1493.
Jo-Yu Lo, Da-Yuan Huang, Tzu-Sheng Kuo, Chen-Kuo Sun, Jun Gong, Teddy Seyed, Xing-Dong Yang, and Bing-Yu Chen, "AutoFritz: Autocomplete for Prototyping Virtual Breadboard Circuits", in Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, New York, NY, USA: Association for Computing Machinery, pp. 1–13.
