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2020 – today
- 2024
[j12]Zilu Liang
, Edward Melcer, Kingkarn Khotchasing, Huyen Hoang Nhung:
Co-design personal sleep health technology for and with university students. Frontiers Digit. Health 6 (2024)- [j11]Y. H. P. P. Priyadarshana, Ashala Senanayake, Zilu Liang, Ian Piumarta:
Prompt engineering for digital mental health: a short review. Frontiers Digit. Health 6 (2024) - [c54]Huyen Hoang Nhung, Zilu Liang:
Apnea Hypopnea Index Estimation from Low-Granularity Overnight Oxymetry Data. BIOSTEC (2) 2024: 716-722 - [c53]Zilu Liang:
Exploring the Impact of Wearable Continuous Glucose Monitoring on Glucose Regulation and Eating Behavior in Healthy Individuals: A Pilot Study. BTIW@MobiSys 2024: 7-12 - [c52]Y. H. P. P. Priyadarshana, Zilu Liang, Ian Piumarta:
ProDepDet: Out-of-domain Knowledge Transfer of Pre-trained Large Language Models for Depression Detection in Text-Based Multi-Party Conversations. IJCNN 2024: 1-8 - 2023
- [j10]Zilu Liang, Yunji Liang:
A Study of Identification of Corporate Financial Fraud Using Neural Network Algorithms in an Information-based Environment. Informatica (Slovenia) 47(8) (2023) - [j9]Bernd Ploderer, Shannon Rodgers, Zilu Liang:
What's keeping teens up at night? Reflecting on sleep and technology habits with teens. Pers. Ubiquitous Comput. 27(2): 249-270 (2023) - [c51]Huyen Hoang Nhung, Zilu Liang:
Contrast Set Mining for Actionable Insights into Associations Between Sleep and Glucose in a Normoglycemic Population. HEALTHINF 2023: 522-529 - [c50]Alexandro del Valle, Zilu Liang, Ian Piumarta:
A Bi-national Investigation of the Needs of Visually Disabled People from Mexico and Japan. CHIRA (1) 2023: 244-261 - [c49]Y. H. P. P. Priyadarshana, Zilu Liang, Ian Piumarta:
HelaDepDet: A Novel Multi-class Classification Model for Detecting the Severity of Human Depression. CollabTech 2023: 3-18 - [c48]Zilu Liang, Ian Piumarta:
An Experience Report on English Medium Instruction (EMI) based Computing Education in a Faculty of Engineering in Japan. CSEE&T 2023: 163-167 - [c47]Zilu Liang:
Developing Sleep Apnea Screening Models Compatible with Low-Resolution SpO2 Data. GCCE 2023: 330-331 - [c46]Hannah Jayne, Alena Lukovnikova, Huyen Hoang Nhung, Zilu Liang:
Mining Contrast Rules in a Sleep Apnea Dataset. GCCE 2023: 1057-1060 - [c45]Zilu Liang:
Multiscale Attention Entropy (MSAE) of Overnight Pulse Oximetry for Assessing Sleep Apnea. ICMHI 2023: 77-80 - [c44]Zilu Liang:
Effect of Decision Boundary for Logistic Regression Classifiers on Sleep Apnea Screening Accuracy with Wearable SpO2 Data. ICMU 2023: 1-4 - [c43]Zilu Liang:
Comparing Attitudes Towards Mobile App Development between International Students and Domestic Japanese Students. TALE 2023: 1-6 - [c42]Y. H. P. P. Priyadarshana, Zilu Liang, Ian Piumarta:
Who Says What (WSW): A Novel Model for Utterance-Aware Speaker Identification in Text-Based Multi-Party Conversations. WEBIST 2023: 26-36 - 2022
- [c41]Zilu Liang, Huyen Hoang Nhung, Lauriane Bertrand, Nathan Cleyet-Marrel:
Context-aware Sleep Analysis with Intraday Steps and Heart Rate Time Series Data from Consumer Activity Trackers. HEALTHINF 2022: 170-179 - [c40]Daisei Tanaka, Junsei Tanaka, Kuriki Ikuru, Zilu Liang, Ian Piumarta:
AkiKomi: Design and Implementation of a Mobile App System for Real-time Room Occupancy Estimation. GCCE 2022: 89-90 - [c39]Zilu Liang:
Correlation Analysis of Nested Consumer Health Data: A New Look at an Old Problem. LifeTech 2022: 46-47 - [c38]Zilu Liang:
Contextualizing Introductory App Development Course for First-Year Engineering Students. TALE 2022: 86-92 - 2021
- [j8]Zilu Liang:
What Does Sleeping Brain Tell About Stress? A Pilot Functional Near-Infrared Spectroscopy Study Into Stress-Related Cortical Hemodynamic Features During Sleep. Frontiers Comput. Sci. 3: 774949 (2021) - [j7]Zilu Liang, Mario Alberto Chapa Martell:
A Multi-Level Classification Approach for Sleep Stage Prediction With Processed Data Derived From Consumer Wearable Activity Trackers. Frontiers Digit. Health 3: 665946 (2021) - [c37]Pataranit Sirithummarak, Zilu Liang:
Investigating the Effect of Feature Distribution Shift on the Performance of Sleep Stage Classification with Consumer Sleep Trackers. GCCE 2021: 242-243 - [c36]Zilu Liang:
Not Just a Matter of Accuracy: A fNIRS Pilot Study into Discrepancy Between Sleep Data and Subjective Sleep Experience in Quantified-Self Sleep Tracking. HealthyIoT 2021: 74-87 - [c35]Lauriane Bertrand, Nathan Cleyet-Marrel, Zilu Liang:
The Role of Continuous Glucose Monitoring in Automatic Detection of Eating Activities. LifeTech 2021: 313-314 - [c34]Zilu Liang:
An N-of-1 Investigation into Stress-Related Hemodynamics in the Prefrontal Cortex During the First Sleep Cycle. SMC 2021: 1192-1197 - [c33]Zilu Liang, Masayuki Nishi, Ippei Kishida:
Teaching Android App Development to First Year Undergraduates: Textual Programming or Visual Programming? TALE 2021: 1-8 - 2020
- [j6]Zilu Liang, Bernd Ploderer:
How Does Fitbit Measure Brainwaves: A Qualitative Study into the Credibility of Sleep-tracking Technologies. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(1): 17:1-17:29 (2020) - [c32]Zilu Liang, Mario Alberto Chapa Martell:
A Two-stage Imbalanced Learning Method for Sleep Stages Classification using Consumer Activity Trackers. HEALTHINF 2020: 633-640 - [c31]Zilu Liang, Oraphan Tatha, Lys Egholm Andersen:
Developing mHealth App for Tracking Academic Stress and Physiological Reactions to Stress. LifeTech 2020: 147-150 - [c30]Zilu Liang, Mario Alberto Chapa Martell:
Validation of Omron Wearable Blood Pressure Monitor HeartGuideTM in Free-Living Environments. MobiHealth 2020: 339-350 - [c29]Zilu Liang:
Student Research Competition (TALE SRC). TALE 2020: 1-2 - [c28]Zilu Liang, Miguel Gomes da Costa Junior, Ian Piumarta:
Opportunities for Improving the Learning/Teaching Experience in a Virtual Online Environment. TALE 2020: 243-250
2010 – 2019
- 2019
- [c27]Gary White, Zilu Liang, Siobhán Clarke:
A Quantified-Self Framework for Exploring and Enhancing Personal Productivity. CBMI 2019: 1-6 - [c26]Zilu Liang, Mario Alberto Chapa Martell:
Achieving Accurate Ubiquitous Sleep Sensing with Consumer Wearable Activity Wristbands Using Multi-class Imbalanced Classification. DASC/PiCom/DataCom/CyberSciTech 2019: 768-775 - [c25]Zilu Liang, Mario Alberto Chapa Martell:
Combining Resampling and Machine Learning to Improve Sleep-Wake Detection of Fitbit Wristbands. ICHI 2019: 1-3 - [c24]Zilu Liang, Mario Alberto Chapa Martell:
Combining Numerical and Visual Approaches in Validating Sleep Data Quality of Consumer Wearable Wristbands. PerCom Workshops 2019: 777-782 - [c23]Zilu Liang:
Design of A Web Development Attitudes Survey. TALE 2019: 1-4 - [c22]Zilu Liang:
Enhancing Active Learning in Web Development Classes Using Pairwise Pre-and-Post Lecture Quizzes. TALE 2019: 1-8 - 2018
- [j5]Zilu Liang, Mario Alberto Chapa Martell:
Validity of Consumer Activity Wristbands and Wearable EEG for Measuring Overall Sleep Parameters and Sleep Structure in Free-Living Conditions. J. Heal. Informatics Res. 2(1-2): 152-178 (2018) - [j4]Zilu Liang, Mario Alberto Chapa Martell:
Not All Errors Are Created Equal: Influence of User Characteristics on Measurement Errors of Consumer Wearable Devices for Sleep Tracking. EAI Endorsed Trans. Pervasive Health Technol. 4(15): e4 (2018) - [j3]Zilu Liang, Yasuyuki Yoshida, Nami Iino, Takuichi Nishimura, Mario Alberto Chapa Martell, Satoshi Nishimura:
A Pervasive Sensing Approach to Automatic Assessment of Trunk Coordination Using Mobile Devices. EAI Endorsed Trans. Pervasive Health Technol. 4(15): e5 (2018) - [c21]Zilu Liang, Mario Alberto Chapa Martell:
A Top-Down Approach to Teaching Web Development in the Cloud. TALE 2018: 32-39 - 2017
- [c20]Zilu Liang, Takuichi Nishimura:
Are wearable EEG devices more accurate than fitness wristbands for home sleep Tracking? Comparison of consumer sleep trackers with clinical devices. GCCE 2017: 1-5 - [c19]Zilu Liang, Takuichi Nishimura, Nami Iino, Yasuyuki Yoshida, Satoshi Nishimura:
Novel use of Nintendo Wii Balance Board for automatic evaluation on motion quality. GCCE 2017: 1-2 - [c18]Zilu Liang, Mario Alberto Chapa Martell:
Considering interpersonal differences in validating wearable sleep-tracking technologies. ICMU 2017: 1-4 - [c17]Zilu Liang, Takuichi Nishimura, Nami Iino, Yasuyuki Yoshida, Satoshi Nishimura:
Utilizing mobile devices for evaluating body trunk coordination: Feasibility and preliminary results. ICMU 2017: 1-6 - [c16]Zilu Liang, Satoshi Nishimura, Takuichi Nishimura, Mario Alberto Chapa Martell:
Investigating Classroom Activities in English Conversation Lessons Based on Activity Coding and Data Visualization. JSAI-isAI Workshops 2017: 375-389 - [c15]Zilu Liang, Takuichi Nishimura, Satoshi Nishimura:
Explicit exercise coaching for health promotion based on bio-mechanics and ontology engineering. PervasiveHealth 2017: 419-422 - [c14]Zilu Liang, Bernd Ploderer, Mario Alberto Chapa Martell:
Is fitbit fit for sleep-tracking?: sources of measurement errors and proposed countermeasures. PervasiveHealth 2017: 476-479 - 2016
- [j2]Zilu Liang, Bernd Ploderer, Wanyu Liu, Yukiko Nagata, James Bailey, Lars Kulik, Yuxuan Li:
SleepExplorer: a visualization tool to make sense of correlations between personal sleep data and contextual factors. Pers. Ubiquitous Comput. 20(6): 985-1000 (2016) - [c13]Takuichi Nishimura, Zilu Liang, Satoshi Nishimura, Tomoka Nagao, Satoko Okubo, Yasuyuki Yoshida, Kazuya Imaizumi, Hisae Konosu, Hiroyasu Miwa, Kanako Nakajima, Ken Fukuda:
Health Promotion Community Support for Vitality and Empathy: Visualize Quality of Motion (QoM). HCI (15) 2016: 253-263 - [c12]Zilu Liang, Yukiko Nagata, Mario Alberto Chapa Martell, Takuichi Nishimura:
Nurturing wearable and mHealth technologies for self-care: Mindset, tool set and skill set. HealthCom 2016: 1-5 - [c11]Zilu Liang, Mario Alberto Chapa Martell, Takuichi Nishimura:
Mining hidden correlations between sleep and lifestyle factors from quantified-self data. UbiComp Adjunct 2016: 547-552 - [c10]Zilu Liang, Mario Alberto Chapa Martell, Takuichi Nishimura:
A Personalized Approach for Detecting Unusual Sleep from Time Series Sleep-Tracking Data. ICHI 2016: 18-23 - [c9]Zilu Liang, Bernd Ploderer:
Sleep tracking in the real world: a qualitative study into barriers for improving sleep. OZCHI 2016: 537-541 - 2015
- [c8]Zilu Liang, Mario Alberto Chapa Martell:
Framing Self-quantification for Individual-level Preventive Health Care. HEALTHINF 2015: 336-343 - [c7]Zilu Liang, Wanyu Liu, Bernd Ploderer, James Bailey, Lars Kulik, Yuxuan Li:
Designing Intelligent Sleep Analysis Systems for Automated Contextual Exploration on Personal Sleep-Tracking Data. JSAI-isAI Workshops 2015: 367-379 - [c6]Takuichi Nishimura, Zilu Liang, Satoshi Nishimura, Tomoka Nagao, Satoko Okubo, Yasuyuki Yoshida, Kazuya Imaizumi, Hisae Konosu, Hiroyasu Miwa, Kanako Nakajima, Ken Fukuda:
Axis Visualizer: Enjoy Core Torsion and Be Healthy for Health Promotion Community Support. JSAI-isAI Workshops 2015: 380-392 - 2014
- [j1]Zilu Liang, Yasushi Wakahara:
Real-time urban traffic amount prediction models for dynamic route guidance systems. EURASIP J. Wirel. Commun. Netw. 2014: 85 (2014) - [c5]Zilu Liang, Yasushi Wakahara:
Speed-Volume Relationship Model for Speed Estimation on Urban Roads in Intelligent Transportation Systems. ICSEng 2014: 685-690 - [c4]Zilu Liang, Yasushi Wakahara:
A route guidance system with personalized rerouting for reducing traveling time of vehicles in urban areas. ITSC 2014: 1541-1548 - 2013
- [c3]Zilu Liang, Yasushi Wakahara:
Automatic Route Shortening Based on Link Quality Classification in Ad Hoc Networks. ICSS 2013: 345-354 - [c2]Zilu Liang, Yasushi Wakahara:
City traffic prediction based on real-time traffic information for Intelligent Transport Systems. ITST 2013: 378-383 - 2011
- [c1]Zilu Liang, Yuzo Taenaka, Takefumi Ogawa, Yasushi Wakahara:
Pro-Reactive Route Recovery with Automatic Route Shortening in Wireless Ad Hoc Networks. ISADS 2011: 57-64
Coauthor Index
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last updated on 2024-10-07 21:16 CEST by the dblp team
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