Zilu Liang
Zilu Liang
Junior Associate Professor, Dept of Mech and Elec Eng, Kyoto University of Advanced Science
Verified email at cnl.t.u-tokyo.ac.jp - Homepage
Cited by
Cited by
Real-time urban traffic amount prediction models for dynamic route guidance systems
Z Liang, Y Wakahara
EURASIP Journal on Wireless Communications and Networking 2014 (1), 1-13, 2014
SleepExplorer: a visualization tool to make sense of correlations between personal sleep data and contextual factors
Z Liang, B Ploderer, W Liu, Y Nagata, J Bailey, L Kulik, Y Li
Personal and Ubiquitous Computing 20 (6), 985-1000, 2016
Validity of consumer activity wristbands and wearable EEG for measuring overall sleep parameters and sleep structure in free-living conditions
Z Liang, MA Chapa-Martell
Journal of Healthcare Informatics Research 2 (1-2), 152-178, 2018
Sleep tracking in the real world: a qualitative study into barriers for improving sleep
Z Liang, B Ploderer
Proceedings of the 28th Australian Conference on Computer-Human Interaction …, 2016
City traffic prediction based on real-time traffic information for intelligent transport systems
Z Liang, Y Wakahara
2013 13th International Conference on ITS Telecommunications (ITST), 378-383, 2013
Framing Self-quantification for Individual-level Preventive Health Care
Z Liang, MA Chapa-Martell
HEALTHINF 2015, 336-343, 2015
Accuracy of Fitbit Wristbands in Measuring Sleep Stage Transitions and The Effect of User-Specific Factors
Z Liang, MA Chapa-Martell
JMIR mHealth uHealth, 2019
A personalized approach for detecting unusual sleep from time series sleep-tracking data
Z Liang, MAC Martell, T Nishimura
2016 IEEE International Conference on Healthcare Informatics (ICHI), 18-23, 2016
Is Fitbit fit for sleep-tracking? Sources of measurement errors and proposed countermeasures
Z Liang, B Ploderer, MA Chapa-Martell
Proceedings of the 11th EAI International Conference on Pervasive Computing …, 2017
A cloud-based intelligent computing system for contextual exploration on personal sleep-tracking data using association rule mining
Z Liang, B Ploderer, MAC Martell, T Nishimura
International Symposium on Intelligent Computing Systems, 83-96, 2016
Mining hidden correlations between sleep and lifestyle factors from quantified-self data
Z Liang, MAC Martell, T Nishimura
Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016
Pro-reactive route recovery with automatic route shortening in wireless ad hoc networks
Z Liang, Y Taenaka, T Ogawa, Y Wakahara
2011 Tenth International Symposium on Autonomous Decentralized Systems, 57-64, 2011
A route guidance system with personalized rerouting for reducing traveling time of vehicles in urban areas
Z Liang, Y Wakahara
17th International IEEE Conference on Intelligent Transportation Systems …, 2014
Washing away your sins in the brain: physical cleaning and priming of cleaning recruit different brain networks after moral threat
H Tang, X Lu, R Su, Z Liang, X Mai, C Liu
Social cognitive and affective neuroscience 12 (7), 1149-1158, 2017
LabVIEW and PCI DAQ Card Based HTS Test and Control Platforms
ZL Hui-Bin Zhao, Jian-Xun Jin, Pu-Chun Jiang, Wen-Hui Gao
Journal of Electronic Science and Technology of China 6 (2), 198-204, 2008
Speed-volume relationship model for speed estimation on urban roads in intelligent transportation systems
Z Liang, Y Wakahara
Progress in Systems Engineering, 685-690, 2015
Achieving accurate ubiquitous sleep sensing with consumer wearable activity wristbands using multi-class imbalanced classification
Z Liang, MAC Martell
2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf …, 2019
Combining Numerical and Visual Approaches in Validating Sleep Data Quality of Consumer Wearable Wristbands
Z Liang, MA Chapa-Martell
2019 IEEE International Conference on Pervasive Computing and Communications …, 2019
Are wearable EEG devices more accurate than fitness wristbands for home sleep tracking? comparison of consumer sleep trackers with clinical devices
Z Liang, T Nishimura
2017 IEEE 6th Global Conference on Consumer Electronics (GCCE), 1-5, 2017
A Quantified-Self Framework for Exploring and Enhancing Personal Productivity
G White, Z Liang, S Clarke
Proc of CBMI 19, 2019
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