2017
P. Hsu et al., "Learning How Clinicians Use Self-Logged Behavior Data When Managing Patients with Alcohol Use Problems in a Clinical Setting", in Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, New York, NY, USA: Association for Computing Machinery, pp. 73–76.
T. Su, H. Lee, "Learning Chinese Word Representations From Glyphs Of Characters", in Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, Copenhagen, Denmark: Association for Computational Linguistics, pp. 264–273.
P. Hsu et al., "A Mobile Support System to Assist DUI Offenders on Probation in Reducing DUI Relapse", in Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, New York, NY, USA: Association for Computing Machinery, pp. 77–80.
C. Shih et al., "Collaborative Sensing for Privacy Preserving Gait Tracking Using IoT Middleware", in Proceedings of the International Conference on Research in Adaptive and Convergent Systems, New York, NY, USA: Association for Computing Machinery, 2017, pp. 152–159.
M. Chen, H. Wang, "Understanding the Learnability Issues of Using Intelligent Personal Assistants", in TAICHI'17.
C. Shih et al., "Data-driven IoT applications design for smart city and smart buildings", in 2017 IEEE SmartWorld, Ubiquitous Intelligence Computing, Advanced Trusted Computed, Scalable Computing Communications, Cloud Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), pp. 1-8.
C. Wu et al., "Track-Clustering Error Evaluation for Track-Based Multi-camera Tracking System Employing Human Re-identification", in 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 1416-1424.
K. Zeng et al., "Agent-Centric Risk Assessment: Accident Anticipation and Risky Region Localization", in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1330-1338.