Pro-Reactive Route Recovery with Automatic Route Shortening in Wireless Ad Hoc Networks. - Zilu Liang; Yuzo Taenaka; Takefumi Ogawa; Yasushi Wakahara (ISADS, 2011)

Automatic Route Shortening Based on Link Quality Classification in Ad Hoc Networks. - Zilu Liang; Yasushi Wakahara (ICSS, 2013)

City traffic prediction based on real-time traffic information for Intelligent Transport Systems. - Zilu Liang; Yasushi Wakahara (ITST, 2013)

Speed-Volume Relationship Model for Speed Estimation on Urban Roads in Intelligent Transportation Systems. - Zilu Liang; Yasushi Wakahara (ICSEng, 2014)

A route guidance system with personalized rerouting for reducing traveling time of vehicles in urban areas. - Zilu Liang; Yasushi Wakahara (ITSC, 2014)

Real-time urban traffic amount prediction models for dynamic route guidance systems. - Zilu Liang; Yasushi Wakahara (EURASIP J. Wirel. Commun. Netw., 2014)

Framing Self-quantification for Individual-level Preventive Health Care. - Zilu Liang; Mario Alberto Chapa Martell (HEALTHINF, 2015)

Designing Intelligent Sleep Analysis Systems for Automated Contextual Exploration on Personal Sleep-Tracking Data. - Zilu Liang; Wanyu Liu 001; Bernd Ploderer; James Bailey 001; Lars Kulik; Yuxuan Li 001 (JSAI-isAI Workshops, 2015)

Axis Visualizer: Enjoy Core Torsion and Be Healthy for Health Promotion Community Support. - Takuichi Nishimura; Zilu Liang; Satoshi Nishimura; Tomoka Nagao; Satoko Okubo; Yasuyuki Yoshida; Kazuya Imaizumi; Hisae Konosu; Hiroyasu Miwa; Kanako Nakajima; Ken Fukuda (JSAI-isAI Workshops, 2015)

Health Promotion Community Support for Vitality and Empathy: Visualize Quality of Motion (QoM). - Takuichi Nishimura; Zilu Liang; Satoshi Nishimura; Tomoka Nagao; Satoko Okubo; Yasuyuki Yoshida; Kazuya Imaizumi; Hisae Konosu; Hiroyasu Miwa; Kanako Nakajima; Ken Fukuda (HCI (15), 2016)

Nurturing wearable and mHealth technologies for self-care: Mindset, tool set and skill set. - Zilu Liang; Yukiko Nagata; Mario Alberto Chapa Martell; Takuichi Nishimura (HealthCom, 2016)

Mining hidden correlations between sleep and lifestyle factors from quantified-self data. - Zilu Liang; Mario Alberto Chapa Martell; Takuichi Nishimura (UbiComp Adjunct, 2016)

A Personalized Approach for Detecting Unusual Sleep from Time Series Sleep-Tracking Data. - Zilu Liang; Mario Alberto Chapa Martell; Takuichi Nishimura (ICHI, 2016)

Sleep tracking in the real world: a qualitative study into barriers for improving sleep. - Zilu Liang; Bernd Ploderer (OZCHI, 2016)

SleepExplorer: a visualization tool to make sense of correlations between personal sleep data and contextual factors. - Zilu Liang; Bernd Ploderer; Wanyu Liu 001; Yukiko Nagata; James Bailey 001; Lars Kulik; Yuxuan Li 001 (Pers. Ubiquitous Comput., 2016)

Are wearable EEG devices more accurate than fitness wristbands for home sleep Tracking? Comparison of consumer sleep trackers with clinical devices. - Zilu Liang; Takuichi Nishimura (GCCE, 2017)

Novel use of Nintendo Wii Balance Board for automatic evaluation on motion quality. - Zilu Liang; Takuichi Nishimura; Nami Iino; Yasuyuki Yoshida; Satoshi Nishimura (GCCE, 2017)

Considering interpersonal differences in validating wearable sleep-tracking technologies. - Zilu Liang; Mario Alberto Chapa Martell (ICMU, 2017)

Utilizing mobile devices for evaluating body trunk coordination: Feasibility and preliminary results. - Zilu Liang; Takuichi Nishimura; Nami Iino; Yasuyuki Yoshida; Satoshi Nishimura (ICMU, 2017)

Investigating Classroom Activities in English Conversation Lessons Based on Activity Coding and Data Visualization. - Zilu Liang; Satoshi Nishimura; Takuichi Nishimura; Mario Alberto Chapa Martell (JSAI-isAI Workshops, 2017)

Explicit exercise coaching for health promotion based on bio-mechanics and ontology engineering. - Zilu Liang; Takuichi Nishimura; Satoshi Nishimura (PervasiveHealth, 2017)

Is fitbit fit for sleep-tracking?: sources of measurement errors and proposed countermeasures. - Zilu Liang; Bernd Ploderer; Mario Alberto Chapa Martell (PervasiveHealth, 2017)

A Top-Down Approach to Teaching Web Development in the Cloud. - Zilu Liang; Mario Alberto Chapa Martell (TALE, 2018)

Validity of Consumer Activity Wristbands and Wearable EEG for Measuring Overall Sleep Parameters and Sleep Structure in Free-Living Conditions. - Zilu Liang; Mario Alberto Chapa Martell (J. Heal. Informatics Res., 2018)

Not All Errors Are Created Equal: Influence of User Characteristics on Measurement Errors of Consumer Wearable Devices for Sleep Tracking. - Zilu Liang; Mario Alberto Chapa Martell (EAI Endorsed Trans. Pervasive Health Technol., 2018)

A Pervasive Sensing Approach to Automatic Assessment of Trunk Coordination Using Mobile Devices. - Zilu Liang; Yasuyuki Yoshida; Nami Iino; Takuichi Nishimura; Mario Alberto Chapa Martell; Satoshi Nishimura (EAI Endorsed Trans. Pervasive Health Technol., 2018)

A Quantified-Self Framework for Exploring and Enhancing Personal Productivity. - Gary White; Zilu Liang; Siobhán Clarke (CBMI, 2019)

Achieving Accurate Ubiquitous Sleep Sensing with Consumer Wearable Activity Wristbands Using Multi-class Imbalanced Classification. - Zilu Liang; Mario Alberto Chapa Martell (DASC/PiCom/DataCom/CyberSciTech, 2019)

Combining Resampling and Machine Learning to Improve Sleep-Wake Detection of Fitbit Wristbands. - Zilu Liang; Mario Alberto Chapa Martell (ICHI, 2019)

Combining Numerical and Visual Approaches in Validating Sleep Data Quality of Consumer Wearable Wristbands. - Zilu Liang; Mario Alberto Chapa Martell (PerCom Workshops, 2019)

Design of A Web Development Attitudes Survey. - Zilu Liang (TALE, 2019)

Enhancing Active Learning in Web Development Classes Using Pairwise Pre-and-Post Lecture Quizzes. - Zilu Liang (TALE, 2019)

A Two-stage Imbalanced Learning Method for Sleep Stages Classification using Consumer Activity Trackers. - Zilu Liang; Mario Alberto Chapa Martell (HEALTHINF, 2020)

Developing mHealth App for Tracking Academic Stress and Physiological Reactions to Stress. - Zilu Liang; Oraphan Tatha; Lys Egholm Andersen (LifeTech, 2020)

Validation of Omron Wearable Blood Pressure Monitor HeartGuideTM in Free-Living Environments. - Zilu Liang; Mario Alberto Chapa Martell (MobiHealth, 2020)

Student Research Competition (TALE SRC). - Zilu Liang (TALE, 2020)

Opportunities for Improving the Learning/Teaching Experience in a Virtual Online Environment. - Zilu Liang; Miguel Gomes da Costa Junior; Ian Piumarta (TALE, 2020)

How Does Fitbit Measure Brainwaves: A Qualitative Study into the Credibility of Sleep-tracking Technologies. - Zilu Liang; Bernd Ploderer (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

Investigating the Effect of Feature Distribution Shift on the Performance of Sleep Stage Classification with Consumer Sleep Trackers. - Pataranit Sirithummarak; Zilu Liang (GCCE, 2021)

Not Just a Matter of Accuracy: A fNIRS Pilot Study into Discrepancy Between Sleep Data and Subjective Sleep Experience in Quantified-Self Sleep Tracking. - Zilu Liang (HealthyIoT, 2021)

The Role of Continuous Glucose Monitoring in Automatic Detection of Eating Activities. - Lauriane Bertrand; Nathan Cleyet-Marrel; Zilu Liang (LifeTech, 2021)

An N-of-1 Investigation into Stress-Related Hemodynamics in the Prefrontal Cortex During the First Sleep Cycle. - Zilu Liang (SMC, 2021)

Teaching Android App Development to First Year Undergraduates: Textual Programming or Visual Programming? - Zilu Liang; Masayuki Nishi; Ippei Kishida (TALE, 2021)

What Does Sleeping Brain Tell About Stress? A Pilot Functional Near-Infrared Spectroscopy Study Into Stress-Related Cortical Hemodynamic Features During Sleep. - Zilu Liang (Frontiers Comput. Sci., 2021)

A Multi-Level Classification Approach for Sleep Stage Prediction With Processed Data Derived From Consumer Wearable Activity Trackers. - Zilu Liang; Mario Alberto Chapa Martell (Frontiers Digit. Health, 2021)

Context-aware Sleep Analysis with Intraday Steps and Heart Rate Time Series Data from Consumer Activity Trackers. - Zilu Liang; Huyen Hoang Nhung; Lauriane Bertrand; Nathan Cleyet-Marrel (HEALTHINF, 2022)

AkiKomi: Design and Implementation of a Mobile App System for Real-time Room Occupancy Estimation. - Daisei Tanaka; Junsei Tanaka; Kuriki Ikuru; Zilu Liang; Ian Piumarta (GCCE, 2022)

Correlation Analysis of Nested Consumer Health Data: A New Look at an Old Problem. - Zilu Liang (LifeTech, 2022)

Contextualizing Introductory App Development Course for First-Year Engineering Students. - Zilu Liang (TALE, 2022)

Contrast Set Mining for Actionable Insights into Associations Between Sleep and Glucose in a Normoglycemic Population. - Huyen Hoang Nhung; Zilu Liang (HEALTHINF, 2023)

A Bi-national Investigation of the Needs of Visually Disabled People from Mexico and Japan. - Alexandro del Valle; Zilu Liang; Ian Piumarta (CHIRA (1), 2023)

HelaDepDet: A Novel Multi-class Classification Model for Detecting the Severity of Human Depression. - Y. H. P. P. Priyadarshana; Zilu Liang; Ian Piumarta (CollabTech, 2023)

An Experience Report on English Medium Instruction (EMI) based Computing Education in a Faculty of Engineering in Japan. - Zilu Liang; Ian Piumarta (CSEE&T, 2023)

Mining Contrast Rules in a Sleep Apnea Dataset. - Hannah Jayne; Alena Lukovnikova; Huyen Hoang Nhung; Zilu Liang (GCCE, 2023)

Developing Sleep Apnea Screening Models Compatible with Low-Resolution SpO2 Data. - Zilu Liang (GCCE, 2023)

Enhancing Learning Experience in University Engineering Classes with Kahoot! Quiz Games. - Zilu Liang (ICCE, 2023)

Multiscale Attention Entropy (MSAE) of Overnight Pulse Oximetry for Assessing Sleep Apnea. - Zilu Liang (ICMHI, 2023)

Effect of Decision Boundary for Logistic Regression Classifiers on Sleep Apnea Screening Accuracy with Wearable SpO2 Data. - Zilu Liang (ICMU, 2023)

Comparing Attitudes Towards Mobile App Development between International Students and Domestic Japanese Students. - Zilu Liang (TALE, 2023)

Who Says What (WSW): A Novel Model for Utterance-Aware Speaker Identification in Text-Based Multi-Party Conversations. - Y. H. P. P. Priyadarshana; Zilu Liang; Ian Piumarta (WEBIST, 2023)

A Study of Identification of Corporate Financial Fraud Using Neural Network Algorithms in an Information-based Environment. - Zilu Liang; Yunji Liang (Informatica (Slovenia), 2023)

What's keeping teens up at night? Reflecting on sleep and technology habits with teens. - Bernd Ploderer; Shannon Rodgers; Zilu Liang (Pers. Ubiquitous Comput., 2023)

Apnea Hypopnea Index Estimation from Low-Granularity Overnight Oxymetry Data. - Huyen Hoang Nhung; Zilu Liang (BIOSTEC (2), 2024)

Exploring the Impact of Wearable Continuous Glucose Monitoring on Glucose Regulation and Eating Behavior in Healthy Individuals: A Pilot Study. - Zilu Liang (BTIW@MobiSys, 2024)

LSTM-based Glucose Prediction for Prediabetes. - Cleber França Carvalho; Thilini Savindya Karunarathna; Zilu Liang (GCCE, 2024)

WristPet: Promoting Daily Physical Activity Through Nudge Theory in a Smartwatch App. - Kingkarn Khotchasing; Huyen Hoang Nhung; Adam Saleh; Zilu Liang (GCCE, 2024)

GyroTetris: Merging Mobile Gaming and Motion Sensing to Boost Motor Skills and Enjoyment. - Zilu Liang; Shuma Nishida; Takeru Noguchi; Takuto Maenaka (GCCE, 2024)

Time Series Analysis for Social Media Anxiety Detection: A Mini Review. - Ashala Senanayake; Zilu Liang (GCCE, 2024)

Physiological Signal Based Blood Glucose Prediction in Diabetics and Non-Diabetics. - Thilini Savindya Karunarathna; Zilu Liang (HealthCom, 2024)

Wearable-Friendly Apnea Severity Classification. - Huyen Hoang Nhung; Zilu Liang (HealthCom, 2024)

Transferring Large Language Models for Depression Detection through Multi-Party Conversation Analysis. - Y. H. P. P. Priyadarshana; Zilu Liang; Ian Piumarta (HealthCom, 2024)

ProDepDet: Out-of-domain Knowledge Transfer of Pre-trained Large Language Models for Depression Detection in Text-Based Multi-Party Conversations. - Y. H. P. P. Priyadarshana; Zilu Liang; Ian Piumarta (IJCNN, 2024)

Co-design personal sleep health technology for and with university students. - Zilu Liang; Edward F. Melcer; Kingkarn Khotchasing; Huyen Hoang Nhung (Frontiers Digit. Health, 2024)

Prompt engineering for digital mental health: a short review. - Y. H. P. P. Priyadarshana; Ashala Senanayake; Zilu Liang; Ian Piumarta (Frontiers Digit. Health, 2024)

Multiscale Entropy Analysis of Continuous Glucose Monitoring Data: A Comparative Study of Diabetic and Healthy Populations. - Cleber França Carvalho; Thilini Savindya Karunarathna; Zilu Liang (BIOSTEC (2): HEALTHINF, 2025)

Eyes as Windows to the Heart: Predicting Heart Rate from Pupillometric Features. - Kevin Kristofer Kosasih; Carl Daniel Karlsson; Thilini Savindya Karunarathna; Zilu Liang (BIOSTEC (2): HEALTHINF, 2025)

Assessing Dietary Protein Intake: A Comparative Study of Two Consumer Mail-In Nutrition Test Kits. - Zilu Liang (BIOSTEC (2): HEALTHINF, 2025)

Reconsidering AHI as an Indicator of Sleep Apnea Severity: Insights from Mining Large, Longitudinal Sleep Datasets. - Huyen Hoang Nhung; Zilu Liang (BIOSTEC (2): HEALTHINF, 2025)

Anxiety Detection in Reddit Posts Through Emotion Dynamics Analysis. - Ashala Senanayake; Zilu Liang (BIOSTEC (2): HEALTHINF, 2025)

User Preferences for Interaction Timing in Smartwatch Sleep Hygiene Games. - Zilu Liang; Daeun Hwang; Samantha Chen 002; Huyen Hoang Nhung; Kingkarn Khotchasing; Edward F. Melcer (CHI, 2025)

AI-driven sleep apnea screening with overnight blood oxygen saturation: current practices and future directions. - Huyen Hoang Nhung; Zilu Liang (Frontiers Digit. Health, 2025)

ExDoRA: enhancing the transferability of large language models for depression detection using free-text explanations. - Y. H. P. P. Priyadarshana; Zilu Liang; Ian Piumarta (Frontiers Artif. Intell., 2025)

Who Says What (WSW) 2.0: Utterance Semantic Modelling for Speaker Identification in Text-Based Multi-Party Conversations. - Y. H. P. P. Priyadarshana; Zilu Liang; Ian Piumarta (SN Comput. Sci., 2025)

GEM: graph attention encoder for multi-task depression severity detection in multi-party conversations. - Y. H. P. P. Priyadarshana; Zilu Liang; Ian Piumarta (Soc. Netw. Anal. Min., 2025)