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AI Research and Outline:
The main research direction is to apply machine learning to the mobile device power saving mechanism (user experience analysis, usage scenarios, CPU/GPU scheduling) and human motion tracking, analysis, and identification.
AI Research Papers (Please see http://www.cs.nthu.edu.tw/~king/papers/pub.html):
Kuan-Ting Ho, Chung-Ta King, Bhaskar Das and Yung-Ju Chang, “Characterizing Display QoS Based on Frame Dropping for Power Management of Interactive Applications on Smartphones,” Prof. IEEE DATE 2018, to appear.
J.J. Chen, Y.F. Chung, C.P. Chang, C.T. King, C.H. Hsu, "A Wearable Virtual Coach for Marathon Beginners," Proc. of 2nd Int'l Workshop on Internet of Things Technologies (IoTT), Dec. 2014.
G.Z. Ding, C.T. King, Y.F. Chung, "ConsumSense: A Framework for Physical Consuming Behavior Prediction on Smartphones," Proc. of the 19th Int'l Conf. on Parallel and Distributed Systems (ICPADS), Dec. 2013.
Y.F. Chung, Y.T. Lo, and C.T. King, "Enhancing User Experiences by Exploiting Energy and Launch Delay Tradeoff of Multimedia Applications," ACM Transactions on Embedded Computing Systems, vol. 12, no. 1s, March 2013.
C.P. Yang, Y.F. Chung, C.T. King, "Destination-Aware Non-GPS Positioning Using Predictive Contexts", Proc. of the 12th International Conference on ITS Telecommunications (ITST 2012), Nov., 2012.