Publications
Highly Cited Papers (Top 10-20%)
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Liang Z, Chapa-Martell MA. (2019) Accuracy of Fitbit wristbands in measuring sleep stage transitions and the effect of user-specific factors. JMIR mHealth and uHealth 7(6):e13384, DOI:10.2196/13384. 【Web of Science 95th percentile in 2019 (top 5%) 】
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Liang Z, Chapa-Martell MA. (2018) Validity of consumer activity wristbands and wearable EEG for measuring overall sleep parameters and sleep structure in free-living conditions. Journal of Healthcare Informatics Research 2 (1-2): 152-178. 【Web of Science 91th percentile in 2018 (top 10%) 】
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Liang Z, Ploderer B, Liu W, Nagata Y, Bailey J, Kulik L, Li Y. (2016). SleepExplorer: A visualization tool to make sense of correlations between personal sleep data and contextual factors. Personal and Ubiquitous Computing 20(6): 985-1000. 【Web of Science 83th percentile in 2016 (top 20%)】
Journals
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Ploderer B, Rodgers S, Liang Z. (2023) What’s keeping teens up at night? Reflecting on sleep and technology habits with teens. Personal and Ubiquitous Computing, 27, 249–270. Doi: 10.1007/s00779-021-01661-x. (IF: 3.00, Q1) SCI Scopus
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Liang Z. (2022). Context-aware sleep health recommender systems (CASHRS): a narrative review. Electronics 2022, 11(20), 3384. (IF: 2.69, Q2) SCI Scopus https://doi.org/10.3390/electronics1120338
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Liang Z. (2022). Mining associations between glycemic variability in awake-time and in-sleep among non-diabetic adults. Frontiers in Medical Technology (Section: Medtech Data Analytics). PubMed
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Liang Z. (2021) What does sleeping brain tell about stress? A pilot fNIRS study into stress-related cortical hemodynamic features during sleep. Frontiers in Computer Science (Section: Mobile and Ubiquitous Computing) 3:774949. Doi: 10.3389/fcomp.2021.774949. SCI Scopus
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Liang Z, Chapa-Martell MA. (2021) A multi-level classification approach for sleep stage prediction with processed data derived from consumer wearable activity trackers. Frontiers in Digital Health (Section: Health Informatics) 3:665946. Doi: 10.3389/fdgth.2021.665946. PubMed Scopus
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Bertrand L, Cleyet-Marrel N, Liang Z. (2021) Recognizing eating activities in free-living environment using consumer wearable devices. Engineering Proceedings 6(1): 58. Doi:10.3390/I3S2021Dresden-10141. 【First authors are visiting master students】
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Liang Z, Ploderer B. (2020) “How does Fitbit measure brainwaves”: a qualitative study into the credibility of sleep-tracking technologies. PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 4(1):Article 17. (IF: 4.16, Q1) SCI Scopus
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Liang Z, Chapa-Martell MA. (2019) Accuracy of Fitbit wristbands in measuring sleep stage transitions and the effect of user-specific factors. JMIR mHealth and uHealth 7(6):e13384, DOI:10.2196/13384. (IF: 5.65, Q1) PubMed SCI Scopus # Featured in Techheading
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Liang Z, Chapa-Martell MA. (2019) Not all errors are created equal: influence of user characteristics on measuring errors of consumer wearable devices for sleep tracking. EAI Endorsed Transactions on Pervasive Health and Technology 18(15):e4. Scopus
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Liang Z, Yoshida Y, Iino N, Nishimura T, Chapa-Martell MA, Nishimura S.(2019) A pervasive sensing approach to automatic assessment of trunk coordination using mobile devices. EAI Endorsed Transactions on Pervasive Health and Technology 18(15):e5. Scopus
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Liang Z, Chapa-Martell MA. (2019) Measurement accuracy of consumer sleep tracking wristbands is associated to users’ age and sleep efficiency. The Journal of Physical Fitness and Sports Medicine 8(6):394.
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Liang Z, Chapa-Martell MA. (2018) Validity of consumer activity wristbands and wearable EEG for measuring overall sleep parameters and sleep structure in free-living conditions. Journal of Healthcare Informatics Research 2 (1-2): 152-178. (IF: 3.28, Q1) PubMed SCI Scopus # Cited by UK Parliamentary Office of Sciences & Technology # Featured in Gizmodo
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Yoshida Y, Liang Z, Nishimura S, Konosu H, Nagao T, Nishimura T. (2018) Quality evaluation for sports coaching service: evaluate trunk torsion by mobile terminal. Transaction of Information Processing Society of Japan 59(2): 591-601.
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Liang Z, Ploderer B, Liu W, Nagata Y, Bailey J, Kulik L, Li Y. (2016). SleepExplorer: A visualization tool to make sense of correlations between personal sleep data and contextual factors. Personal and Ubiquitous Computing 20(6): 985-1000. (Impact factor: 3.00, Q1) SCI Scopus
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Liang Z, Wakahara Y. (2014). Real-time Urban Traffic Amount Prediction Models for Dynamic Route Guidance Systems. EURASIP Journal on Wireless Communications and Networking, 2014: 85. (Impact factor: 2.56, Q2) SCI Scopus
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Liang Z, Xiahou S, Chen D. (2010). Secured AODVjr Routing Protocol Based on SRP Algorithm. Journal of the University of Electronic Science and Technology of China 39(Suppl.): 121-126.
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Zhao H, Jin J, Jiang P, Gao W, Liang Z. (2008). LabVIEW and PCI DAQ Card Based HTS Test and Control Platforms. Journal of Electronic Science and Technology of China, vol.6, no.2, 198-204.
Preprints
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Nhung, H. H., Liang Z. (2022) Knowledge discovery in ubiquitous and personal sleep-tracking: a scoping review. JMIR Preprints. Doi: 16/09/2022:42750. 【First author is master student】
Book Chapters
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Liang Z. (2022). Not Just a Matter of Accuracy: A fNIRS Pilot Study into Discrepancy Between Sleep Data and Subjective Sleep Experience in Quantified-Self Sleep Tracking. In: Spinsante, S., Silva, B., Goleva, R. (eds) IoT Technologies for Health Care. HealthyIoT 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 432. Springer, Cham. SCI Scopus
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Liang Z, Chapa-Martell MA (2021) Validation of Omron wearable blood pressure monitor HeartGuide in free-living environments. In: Ye J., O'Grady M.J., Civitarese G., Yordanova K. (eds) Wireless Mobile Communication and Healthcare. MobiHealth 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 362. Springer, Cham. Scopus
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Liang Z, Nishimura S, Nishimura T, Chapa-Martell MA. (2018). Investigating classroom activities in English conversation lessons based on activity coding and data visualization. Lecture Notes in Artificial Intelligence. Berlin: Springer. SCI Scopus
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Liang Z, Liu W, Ploderer B, Bailey J, Kulik L, Li Y. (2017). Designing intelligent sleep analysis systems for automated contextual exploration on personal sleep-tracking data. In M. Otake, S. Kurahashi, Y. Ohta, K. Satoh, & D. Bekki (eds.) New Frontiers in Artificial Intelligence, 367-379. Berlin: Springer. SCI Scopus
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Nishimura T, Liang Z, Nishimura S, et al. (2017). Axis visualizer: enjoy core torsion and be healthy for health promotion community support. In M. Otake, S. Kurahashi, Y. Ohta, K. Satoh, & D. Bekki (eds.) New Frontiers in Artificial Intelligence. Berlin: Springer. SCI Scopus
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Nishimura T, Liang Z, et al. (2016) Health promotion community support for vitality and empathy: visualize quality of motion (QoM). In: Duffy V. (eds) Digital Human Modeling: Applications in Health, Safety, Ergonomics and Risk Management. DHM 2016. Lecture Notes in Computer Science, vol 9745. Springer, Cham. (Q2/Q3) SCI Scopus
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Liang Z, Wakahara Y. (2015). Speed-volume relationship model for speed estimation on urban roads in intelligent transportation systems. Progress in Systems Engineering, Advances in Intelligent Systems and Computing, 1089, 685-690. (Impact factor: 0.57, Q3/Q4) SCI Scopus
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Liang Z, Wakahara Y. (2014). Automatic route shortening based on link quality classification in ad hoc networks. Advances in Systems Science, Advances in Intelligent Systems and Computing, 240, 345-354. (Impact factor: 0.57, Q3/Q4) Scopus
Conference Proceedings (Reviewed and Indexed)
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Liang Z, Piumarta I. (2023) An Experience Report on English Medium Instruction (EMI) based Computing Education in a Faculty of Engineering in Japan. In Proceedings of the 35th IEEE International Conference on Software Engineering Education and Training (CSEE&T 2023), Tokyo, Japan. Scopus
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Liang Z. (2023) Multiscale attention entropy (MSAE) of overnight pulse oximetry for assessing sleep apnea. In Proceedings of the 7th International Conference on Medical and Health Informatics (ICMHI 2023), Kyoto, Japan. Scopus
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Nhung H. H., Liang Z. (2023) Contrast set mining for actionable insights into associations between sleep and glucose in a normoglycemic population. In Proceedings of the 16th International Conference on Health Informatics (HEALTHINF 2023), Lisbon, Portugal. SCI Scopus 【First author is master student】
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Liang Z. (2022) Contextualizing introductory app development course for first-year engineering students. In Proceedings of the 2021 IEEE Conference on Teaching, Assessment, and Learning for Engineering (TALE 2022), Hong Kong. SCI Scopus
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Tanaka D., Tanaka J., Ikuru K., Liang Z., Piumarta I. (2022) AkiKomi: Design and implementation of a mobile app system for real-time room occupancy estimation. In Proceedings of the 2022 IEEE 11th Global Conference on Consumer Electronics (GCCE 2022), Osaka, Japan. Scopus 【First authors are undergraduate students】
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Liang Z., Nhung H. H., Bertrand L., Cleyet-Marrel N. (2022) Context-aware sleep analysis with intraday steps and heart rate time series data from consumer activity trackers. In Proceedings of the 15th International Conference on Health Informatics (HEALTHINF 2022), Cyberspace. (Acceptance rate of full papers = 23%) SCI Scopus
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Liang Z. (2022) Correlation analysis of nested consumer health data: a new look at an old problem. In Proceedings of the IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech 2022), Osaka, Japan. SCI Scopus
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Liang Z. (2022) Association rules mining on multimodal quantified-self data. In Proceedings of the International Seminar on Machine Learning, Optimization, and Data Science, Jakarta, Indonesia. Scopus
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Liang Z. (2021) An N-of-1 investigation into stress-related hemodynamics in the prefrontal cortex during the first sleep cycle. In Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2021), Melbourne, Australia. (Acceptance rate = 57%) SCI Scopus
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Liang Z, Nishi M, Kishida I. (2021) Teaching Android app development to first year undergraduates: textual programming or visual programming? In Proceedings of the 2021 IEEE Conference on Teaching, Assessment, and Learning for Engineering, Wuhan, China. SCI Scopus
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Sirithummarak P, Liang Z. (2021) Investigating the effect of feature distribution shift on the performance of sleep stage classification with consumer sleep trackers. In Proceedings of the IEEE 10th Global Conference on Consumer Electronics (GCCE 2021), Kyoto, Japan. Scopus 【First author is master student】
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Bertrand L, Cleyet-Marrel N, Liang Z. (2021) The role of continuous glucose monitoring (CGM) in automatic detection of eating activities. In Proceedings of the IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech 2021), Nara, Japan. SCI Scopus 【First authors are visiting master students】
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Liang Z, da Costa Junior MG, Piumarta I (2020) Opportunities for improving the learning/teaching experience in a virtual online environment. In Proceedings of In Proceedings of the 2020 IEEE Conference on Teaching, Assessment, and Learning for Engineering, Takamatsu, Japan. SCI Scopus
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Liang Z (2020) Student research competition (TALE SRC). In Proceedings of the 2020 IEEE Conference on Teaching, Assessment, and Learning for Engineering, Takamatsu, Japan. SCI Scopus
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Liang Z, Tatha O, Andersen L (2020) Developing mHealth app for tracking academic stress and physiological reactions to stress. In Proceedings of the IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech 2020), p.147-150, Kyoto, Japan. Scopus
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Liang Z, Chapa-Martell MA. (2020) A two-stage imbalanced learning method to sleep stage classification using consumer activity trackers. HEALTHINF 2020, Valletta, Malta. Scopus
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Liang Z. (2019) Enhancing active learning in web development classes using pairwise pre-and-post lecture quizzes. In Proceedings of the 2019 IEEE Conference on Teaching, Assessment, and Learning for Engineering, Yogyakarta, Indonesia. Scopus
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Liang Z. (2019) Design of a web development attitudes survey. In Proceedings of IEEE TALE 2019, Yogyakarta, Indonesia. Scopus
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White G, Liang Z, Clarke S. (2019) A quantified-self framework for exploring and enhancing personal productivity. In Proceedings of the 17th Intl Conf on Content-Based Multimedia Indexing (CBMI '19), Dublin, Ireland. SCI Scopus
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Liang Z, Chapa-Martell MA. (2019) Achieving accurate ubiquitous sleep sensing with consumer wearable activity wristbands using multi-class imbalanced classification. In Proceedings of IEEE Int Conf on Pervasive Intelligence and Computing (PICOM '19). p.768-775, Fukuoka, Japan. SCI Scopus
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Liang Z, Chapa-Martell MA. (2019) Combining resampling and machine learning to improve sleep-wake detection of Fitbit wristbands. In Proceedings of IEEE Int Conf on Healthcare Informatics (ICHI '19). Xi'an, China. Scopus
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Liang Z, Chapa-Martell MA. (2019) Combining numerical and visual approaches in validating sleep data quality of consumer wearable wristbands. In Proceedings of IEEE PerCom Workshops (IQ2S Workshop), p.777-782, Kyoto, Japan. SCI Scopus
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Liang Z, Chapa-Martell MA. (2018) A top down approach for teaching web development on cloud. In Proceedings of the 2018 IEEE Conference on Teaching, Assessment, and Learning for Engineering, Wollongong, Australia. SCI Scopus
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Liang Z, Iino N, Nishimura T, et al (2017) Novel use of Nintendo Wii balance board for automatic evaluation on motion quality: feasibility and preliminary results. IEEE 6th Global Conference on Consumer Electronics (GCCE 2017), Nagoya, Japan. SCI Scopus
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Liang Z, Chapa-Martell MA. (2017) Are wearable EEG devices more accurate than fitness wristbands for home sleep tracking? Comparison of consumer sleep trackers with clinical devices. IEEE 6th Global Conference on Consumer Electronics (GCCE 2017), Nagoya, Japan. SCI Scopus
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Liang Z, Iino N, Nishimura T, Nishimura S, Yoshida Y. (2017). Utilizing mobile devices for evaluating body trunk coordination: feasibility and preliminary results. The 10th International Conference on Mobile Computing and Ubiquitous Networking, Toyama, Japan. SCI Scopus
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Liang Z, Chapa-Martell MA. (2017) Considering interpersonal differences in validating wearable sleep-tracking technologies. The 10th International Conference on Mobile Computing and Ubiquitous Networking, Toyama, Japan. SCI Scopus
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Liang Z, Ploderer B, Chapa-Martell MA. (2017) Is Fitbit fit for sleep-tracking? Sources of measurement errors and proposed countermeasures. In Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, Barcelona, Spain. Scopus
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Liang Z, Nishimura T, Nishimura S. (2017). Explicit exercise coaching for health promotion based on bio-mechanics and ontology engineering. In Proceedings of Health-i-Coach 2017, Barcelona, Spain. Scopus
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Liang Z, Ploderer B. (2016) Sleep tracking in the real world: a qualitative study into barriers for improving sleep. In Proceedings of OzCHI 2016. Tasmania, Australia. SCI Scopus # Featured in Techheading
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Liang Z, Chapa-Martell MA, Nishimura T. (2016) A personalized approach for detecting unusual sleep from time series sleep-tracking data. In Proceedings of IEEE Int Conf on Healthcare Informatics (ICHI '16). Chicago, US. SCI Scopus
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Liang Z, Nagata Y, Chapa-Martell MA, Nishimura T. (2016) Nurtuing wearable and mHealth technologies for self-care: mindset, tool set and skill set. In Proceedings of the 18th Int Conf on Networking, Applications & Services (HealthCom 2016), Munich, Germany. SCI Scopus
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Liang Z, Chapa-Martell MA, Nishimura T. (2016) Mining hidden dependencies between sleep and lifestyle factors from quantified-self data. In Proceedings of the New Frontiers of Quantified Self 2 Workshop (QS Frontier 2016) @ UbiComp '16. Heidelberg, Germany. SCI Scopus
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Nishimura T, Liang Z, Nishimura S, et al. (2016) Health promotion community support for vitality and empathy: visualize quality of motion (QoM). In Proceedings of the 18th International Conference on Human Computer Interaction (HCII 2016). Toronto, Canada. Scopus
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Liang Z, Ploderer B, Chapa-Martell MA, Nishimura T.(2016). A cloud-based intelligent computing system for contextual exploration on personal sleep-tracking data using association rule mining. In Proc. of ISICS 2016, Merida, Mexico. SCI Scopus
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Liang Z, Chapa-Martell MA. (2015). Framing self-quantification for individual-level preventive healthcare. Proc. of HEALTHINF 2015, Lisbon, Portugal. Scopus
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Liang Z, Wakahara Y. (2014). A route guidance system with personalized rerouting for reducing travelling time of vehicles in urban areas. Proc. of ITSC 2014, Qingdao, China. SCI Scopus
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Liang Z, Wakahara Y. (2014). Speed-volume relationship model for speed estimation on urban roads in intelligent transportation systems. Proc. of ICSEng 2014, Las Vegas, USA. SCI Scopus
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Liang Z, Wakahara Y. (2013). City traffic prediction based on real-time traffic information for intelligent transportation system. Proc. of ITST 2013, Tampere, Finland. SCI Scopus
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Liang Z, Wakahara Y. (2013). Automatic route shortening based on link quality classification in ad hoc networks. Proc. of ICSS 2013, Wroclaw, Poland. Scopus 【Best Paper Award】【Best Student Paper Award】
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Liang Z, Taenaka Y, Ogawa, Wakahara Y. (2011). Pro-reactive route recovery with automatic route shortening in wireless ad hoc networks. Proc. of ISADS 2011, Kobe, Japan. Scopus
Invited Talks
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Liang Z. (2023) Ubiquitous and Personal Computing for Health and Welbeing. International Seminar on Seminar on Machine Learning, Optimization, and Data Science.
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Liang Z. (2022) Machine learning and data mining in consumer health informatics. International Seminar on Seminar on Machine Learning, Optimization, and Data Science.
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Liang Z. (2021) Mobile and Wearable Computing for Studying Human Physiology and Behavior in the Wild. Human Augmentation Research Center, National Institute of Industrial Science and Technology.
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Liang Z. (2020) Wearable Technologies for Enhancing Health and Sports Performance. Health and Sports Science Seminar, Faculty of Health and Medical Sciences, KUAS.
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Liang Z. (2019) Wearable Computing and Personal Informatics for Health and Wellbeing. Artificial Intelligence Research Center, National Institute of Industrial Science and Technology.
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Liang. Z. (2018). Time and sequence matter: investigating the relationship between sleep and day-time events. Asian Deans' Forum 2018: The Rising Stars Women in Engineering Workshop, Hongkong.
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Liang. Z. (2015). Unburdening Overloaded Urban Healthcare Systems with Data-Driven Personalized Self-Care. Singapore Scientific Conference, Singapore.
Conference/Workshop Presentations
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Liang Z. (2023) Gamifying Digital Signal Processing Learning with Kahoot! Quiz. IEICE General Conference 2023, Oomiya.
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Nhung H. H., Liang Z. (2023) Identifying Patterns in Continuous Glucose Monitoring Data using Contrast Set Mining. . IEICE General Conference 2023, Oomiya.
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Liang Z. (2022) Changes in attitude towards mobile app development: a preliminary comparison between MIT App Inventor and Android Studio. In Proceedings of the 2022 IFIP World Conference on Computers in Education, Hiroshima, Japan. (reviewed)
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Liang Z. (2022) Mining associations between Fitbit measured sleep structure and subsequent daytime glycemia patterns. In Proceedings of the 47th Annual Meeting of Japanese Society of Sleep Research (JSSR), Kyoto, Japan. 【Nominated for the Best Presentation Award (= top 12.5%)】
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Liang Z. (2021) Association between bedtime stress level and hemodynamics in prefrontal cortex during sleep. In Proceedings of the 46th Annual Meeting of Japanese Society of Sleep Research (JSSR), Fukuoka, Japan.
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Liang Z. (2021) Self-rated sleep quality is associated with hemodynamics in prefrontal cortex in the first sleep cycle. In Proceedings of the 3rd Congress of Asian Society of Sleep Medicine (ASSM), Beijing, China.
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Liang Z (2021) Teaching Android app development with MIT App Inventor in an English-medium instruction context. In Proceedings of the Annual Autumn Meeting of Japanese Society for Educational Technology, Kumamoto, Japan.
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Sirithummarak P, Liang Z. (2021) Effect of feature distribution shift on sleep-wake classification with Apple watch. In Proceedings of the 2021 IEICE Society Conference, Kumamoto, Japan. 【First author is master student】
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Liang Z (2021) Reflection on an English-medium app development course. In Proceedings of the Annual Spring Meeting of Japanese Society for Educational Technology, Kobe, Japan.
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Liang Z (2020) Leveraging ubiquitous learning technologies for collaborative online learning. In Proceedings of the 45th Annual Conf of Japanese Society for Information and Systems in Education, Hiroshima, Japan.
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Liang Z (2020) Engaging students in online virtual classroom using web application Sutori. The 19th IPSJ Forum of Information Technology, Hokkaido, Japan.
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Liang Z, Andersen LE, Tatha O. (2020) Towards automatic analysis of relationship between perceived stress and physical activity with self-tracking technologies. In Proceedings of the 2020 IEICE General Conference, Hiroshima, Japan.
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Liang Z, Chapa-Martell MA. (2020) Leveraging consumer activity trackers for sleep stage prediction. The 82th National Convention of the Information Processing Society of Japan, Kanazawa, Japan.
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Liang Z, Chapa-Martell MA. (2020) Towards the visualization of classroom orchestration. Annual Meeting of The Japanese Society for Educational Technology (JSET), Nagano, Japan.
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Yun S, Moekoe C, Sirithummarak P, Liang Z. (2020) Leveraging cloud-based learning technologies for developing professional communication skills in a collaborative learning environment. In Proceedings of the 2020 IEICE Society Conference, Tokushima, Japan. 【First authors are undergraduate students】
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Moekoe C, Yun S, Sirithummarak P, Liang Z. (2020)Building Technical Communication Skills of Engineering Students using Authentic Materials and Tasks. In Proceedings of the 2020 IEICE Society Conference, Tokushima, Japan. 【First authors are undergraduate students】
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Smith M, Liang Z, Piumarta I, Tabata O, Takeda K. (2020) Design of faculty development training program for English medium instruction in engineering. Annual Meeting of The Japanese Society for Educational Technology (JSET), Nagano, Japan.
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Liang Z, Chapa-Martell MA. (2019) Moving beyond statistical analysis: applying association rule mining to discovering correlations between daily behavioral rhythm and sleep quality. The 26th Annual Meeting of the Japanese Society for Chronobiology, Kanazawa, Japan.
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Liang Z, Chapa-Martell MA. (2019) Measurement accuracy of consumer sleep tracking wristbands is associated to user-specific factors. The 74th Annual Meeting of the Japanese Society of Physical Fitness and Sports Medicine, Tsukuba, Japan.
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Liang Z, White G, Clarke S, Chapa-Martell MA. (2019) Mining association rules in quantified self data for better sleep and productivity. IEICE Society Conference 2019, Osaka, Japan.
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Liang Z, Chapa-Martell MA. (2019) Mitigating resource constraints in web development education using commercial cloud services. The 18th Forum on Information Technology, Okayama, Japan.
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Liang, Z., Nishimura, S., Nishimura, T, Chapa-Martell, M. A. (2018) LessonSpectrum: visualizing teaching and learning activities in English conversation lessons. Orchestrating Learning Analytics (OrLA) workshop, Sydney, Australia.
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Egholm-Andersen, L., Liang, Z., Morimura, K. (2018). A web application for analyzing stress association factors among students. IEICE General Conference, Tokyo.
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Liang Z, Nishimura S, Nishimura T, Chapa-Martell MA. (2017) Understanding Teachers' Time Management in English Conversation Classes using Experience Sampling Method and Data Visualization. International Workshop on Knowledge Explication for Industry, Tokyo, Japan.
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Liang, Z., Nishimura, S., Nishimura, T., Iino, N. (2017) Gaining insights from English Conversation classes using thematic analysis: a pilot study. In Proceedings of the 7th International Conference on Language, Innovation, Culture and Education, Singapore.
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Liang, Z., Chapa-Martell, M.A. (2017) Wearable EEG v.s. wristband: which is more accurate for sleep tracking under free living conditions? The 39th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC'17), Jeju, Korea.
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Liang, Z. (2017). Comparison of commercial wearable sleep trackers to subjective sleep quality. In Proceedings of the 42th Annual Meeting of Japanese Society of Sleep Research, Yokohama, Japan.
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Liang Z, Chapa-Martell MA. (2017). Paradox in validating consumer wearable activity trackers on measuring sleep quality. The 16th Forum on Information Technology, Tokyo.
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Liang, Z., Liang, H., Nishimura, T., Nishimura, S., Yoshida, Y. (2017) Automatic evaluation on trunk coordination ability using portable devices: feasibility and preliminary results. The 16th Forum on Information Technology, Tokyo.
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Liang, Z., Nishimura, S., Nishimura, T., Iino, N. (2017) Understanding effective teaching in advanced English conversation classes through thematic analysis. The 16th Forum on Information Technology, Tokyo.
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Liang, Z., Chapa-Martell, M. A. (2017). Mining wearable sleep data for detecting unusual sleep. IEICE General Conference, Nagoya.
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Ploderer, B., Vyas, D., Nolan, S., Happer, C., Cunningham, T., Liang, Z. (2017). SleepBeta: engaging adolescents and their parents with sleep data. CHI workshop, Denver, USA.
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Liang Z, Morimura K, Hernandez YA. (2017) Empowering globalization of engineering education with open-source e-learning platform and cloud computing technology. JSEE Annual Conference International Session Proceedings 2017.
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Hernandez YA, Liang Z, Morimura K. (2017) International communication through Skype for engineering education. JSEE Annual Conference International Session Proceedings 2017. 【JSEE International Session Award】
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Morimura K, Hernandez YA, Liang Z. (2017) M-Skype as a COIL program: collaborative online international learning. JSEE Annual Conference International Session Proceedings 2017.
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Liang, Z., Liang, H., Nishimura, T., Chapa-Martell, M. (2016). Quantitative Analysis of Difference between Good and Bad Motion During Coordinated Movements and Its Potential Application to Healthy Aging. In Proc. of HAT-MASH Workshop 2016, Yokohama.
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Nishimura, T., Yosihda, Y., Liang, Z., et al. (2016). Evaluate the quality of posture and motion: for motion which makes body happy without fatigue and damage. Symposium of Sports Engineering and Human Dynamics, Yamagata.
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Liang, Z., Nishimura, S., Nishimura, T. (2016) Quantifying core strength in viewpoint of neuromuscular control. In Proceedings of LIFE2016, Sendai.
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Liang, Z., Nishimura, S., Nishimura, T. (2016) Quantifying and visualizing trunk strength using mobile devices. Proceedings of the 30th Annual Conference of The Japanese Society for Artificial Intelligence, Kokura.
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Liang, Z.; Chapa-Martell, M. A. (2015). Development of A Web-Based Automatic Data Analysis Tool for Users Without Statistics Background. Proc. of 10th AEARU Workshop on Computer Science and Web Technology, Tsukuba, Japan
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Liang, Z. (2015). A Web Application for Automatic Analysis on Life-Style Factors Affecting Personal Health from Self-Tracking Data. Proc. of HEALTHINF 2015, Lisbon, Portugal.
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Liang, Z., Liu, W., Ploderer, B., Bailey, J., Kulik, L., and Li, Y.(2015). Making Sense of Personal Sleep-Tracking Data through Automated Correlation Analysis and Visualization of Sleep Data and Contextual Information. In Proc. of HAT-MASH Workshop 2015, Yokohama.
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Liang, Z.; Wakahara, Y. (2014). Microscopic Route Guidance System with Vehicle-Level Rerouting for Facilitating Smooth Travel in City Areas. Proc. of IEICE Society Conference 2014, Tokushima. 【Best Paper Award】
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Liang, Z.; Wakahara, Y. (2014). Proactive Route Guidance System based on Vehicle Ranking. Proc. of IEICE General Conference 2014, Niigata.
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Liang, Z.; Wakahara, Y. (2014). Urban Traffic Prediction Models for Dynamic Route Guidance Systems. Proc. of GCOE Symposium 2014, Tokyo. 【Best Poster Award】
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Liang Z, Wakahara Y. (2014). Reducing Average Travel Time through Individualized Route Guidance in Urban Traffic Network. Proc. of APNOMS 2014, Hsinchu, Taiwan.
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Liang Z, Wakahara Y. (2013). Urban Traffic Prediction in the Scope of Intelligent Transportation System. Proc. of APNOMS 2013, Hiroshima, Japan.
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Liang, Z.; Wakahara, Y. (2013). Urban Traffic Prediction Based on Spatial-Temporal Correlation. Proc. of IEICE Society Conference 2013, Fukuoka.
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Liang, Z.; Polak, J.; Wakahara, Y. (2013). Investigation on the Performance of Route Guidance Systems with Imperfect Input. Proc. of IEICE General Conference 2013, Gifu.
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Liang, Z.; Wakahara, Y. (2013). Effect of Imperfect Input on the Benefit of Route Guidance Systems (RGS). The University of Tokyo Multi-disciplinary Student Symposium 2013, Tokyo.
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Yao, X; Liang, Z.; Wakahara, Y. (2012). Extending the Synchronized Multi-Hop Protocol with Fast Transmission Failure Recovery for Multi-Hop Wireless Networks. Proc. of IEICE Network Software Conference.
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Liang, Z.; Yao, X; Wakahara, Y. (2012). A New Intelligent Transport System for Traffic Congestion Management. Proc. of IEICE Society Conference 2012, Toyama.
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Liang, Z.; Wakahara, Y. (2012). Performance Improvement of Route Shortening in Wireless Ad Hoc Network. Proc. of the 16th Network Software Conference, Hakotate.
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Liang, Z.; Taenaka, Y; Wakahara, Y. (2012) Applying Support Vector Machine to Automatic Route Shortening in Wireless Ad Hoc Networks. Proc. of IEICE General Conference 2012, Okayama.
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Liang Z, Chapa-Martell MA. (2011). Improving women’s health through proactive health education. Proc. of APRU DSC 2011, Beijing, China.
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Liang, Z.; Taenaka, Y; Ogawa, T; Wakahara, Y. (2011). Automatic Route shortening based on Support Vector Machine in Wireless Ad Hoc Networks. Proc. of IEICE Society Conference 2011, Sapporo.
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Liang, Z.; Taenaka, Y; Ogawa, T; Wakahara, Y. (2011). Automatic Route Shortening for Performance Enhancement in Wireless Ad Hoc Networks. Proc. of the 13th Network Software Conference, Kushiro. 【Network Software Research Award】
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Liang, Z.; Taenaka, Y; Ogawa, T; Wakahara, Y. (2011). Incorporating Route Recovery Information to Gossip Routing in Wireless Ad Hoc Network. Proc. of IEICE General Conference 2011, Tokyo.
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Liang, Z.; Taenaka, Y; Ogawa, T; Wakahara, Y. (2010). Automatic Route Recovery Based on Relay Nodes in Wireless Ad Hoc Networks. Proc. of IEICE Society Conference 2010, Osaka.
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Liang, Z.; Ogawa, T; Wakahara, Y. (2010). An Automatic Route Recovery Method Based on Reserved Virtual Local Paths for Wireless Ad Hoc Network. Proc. of IEICE General Conference 2010, Sendai.
Technical Reports
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Liang Z, Chapa-Martell MA. (2019) Predicting medical-grade sleep/wake classification from Fitbit data using tree-based machine learning. IPSJ SIG Technical Report 2019-UBI-62(14):1-8.
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Liang Z, Chapa-Martell MA, Ploderer, B. (2017) Inter-individual differences in sleep quality: insights from mining wearable sleep-tracking data. IPSJ SIG Technical Report 2017-MBL-82 (54):1-6.
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Nishimura T, Nishimura S, Yoshida Y, Liang Z, et al. (2016) Development of knowledge of texts and on-site evaluation technologies for exercise coaching. IPSJ SIG Technical Report.
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Liang, Z.; Wakahara, Y. (2013). Real Time Traffic Prediction in Urban Traffic Network. IEICE Technical Report, 2013-ITS-54:5, ITS2013-13, 1-6.
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Liang, Z.; Polak, J.; Wakahara, Y. (2013). Simulation Studies on the Benefit of Route Guidance Generated from Imperfect Traffic Data. IEICE Technical Report, 112:470, ITS2012-62, 37-42.
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Liang, Z.; Wakahara, Y. (2012) Reliable Local Recovery in Wireless Ad Hoc Networks. IEICE Technical Report, 112:350, NS2012-139, 133-138.
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Yao, X; Liang, Z.; Wakahara, Y. (2012). Synchronized Multi-Hop Protocol with Fast Transmission Failure Recovery for IEEE 802.11 Multi-Hop Wireless Network under Large Interference Range. IEICE Technical Report, 112:350, NS2012-120, 19-24.
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Liang, Z.; Taenaka, Y; Ogawa, T; Wakahara, Y. (2011). Fast and Low-Overhead Route Recovery in Wireless Ad Hoc Networks. IEICT Technical Report, 110:372, NS2010-146, 25-30.