Carvalho CF, Liang Z. (2025) Short-Term Glucose Prediction in Diabetes: Comparing Deep Learning Training Paradigms. In the Proceedings of the 2025 IEEE 14th Global Conference on Consumer Electronics (GCCE 2025), Osaka. Japan.【First author is master student】
Ahmed H, Liang Z. (2025) Design and Development of a Smartwatch App for Mood Tracking, Reflection and Regulation. In the Proceedings of the 2025 IEEE 14th Global Conference on Consumer Electronics (GCCE 2025), Osaka. Japan.【First author is undergraduate student】
Senanayake A, Liang Z. (2025) CE-LAH: Contextualized Embeddings for Longitudinal Analysis of Human Anxiety. In the Proceedings of the 2025 IEEE 14th Global Conference on Consumer Electronics (GCCE 2025), Osaka. Japan. 【First author is master student】
Raj P, Liang Z. (2025) Design and Implementing a mHealth Application for Premenstrual Syndrome (PMS) Screening. In the Proceedings of the 2025 IEEE 14th Global Conference on Consumer Electronics (GCCE 2025), Osaka. Japan.【First author is undergraduate student】
Karunarathna TS, Liang Z. (2025) Bottom-Up Feature Selection for Continuous Glucose Prediction Using Wearable Data. In the Proceedings of the 2025 IEEE 14th Global Conference on Consumer Electronics (GCCE 2025), Osaka. Japan.【First author is undergraduate student】
Saskovets M, Lohachov M, Liang Z. (2025) Cortisol Estimation Using Wearable Wristbands: Comparing Multilevel Modelling and Machine Learning. In the Proceedings of the 2025 IEEE 14th Global Conference on Consumer Electronics (GCCE 2025), Osaka. Japan.【First author is PhD student】
Hossain FMM, Tan DJG, Mohamed IA, Ayun QQ, Matsunaga S, Junaideen AS, Liang Z. (2025) From Skin to Screen: Real-Time Wound Monitoring with a Smart Bandage and Smartphone. In the Proceedings of the 2025 IEEE 14th Global Conference on Consumer Electronics (GCCE 2025), Osaka. Japan.【First author is undergraduate student】[Scopus]
Liang Z, Hwang D, Chen S, Hoang NH, Khotchasing K, Melcer EF. (2025) User Preferences for Interaction Timing in Smartwatch Sleep Hygiene Games. In the Proceedings of the 2025 ACM CHI conference on Human Factors in Computing Systems (CHI 2025). (Acceptance rate = 7.8%) [WoS/Scopus]
Kosasih KK, Karlsson DC, Karunarathna TS, Liang Z. (2025) Eyes as Windows to the Heart: Predicting Heart Rate from Pupillometric Features. In Proceedings of the 18th International Conference on Health Informatics (HEALTHINF 2025), Porto, Portugal.【First author is master student】[Scopus]
Carvalho CF, Karunarathna T, Liang Z. (2025) Multiscale Entropy Analysis of Continuous Glucose Monitoring Data: A Comparative Study of Diabetic and Healthy Populations. In Proceedings of the 18th International Conference on Health Informatics (HEALTHINF 2025), Porto, Portugal.【First author is master student】 [Scopus]
Senanayake A, Liang Z. (2025) Anxiety Detection in Reddit Posts through Emotion Dynamics Analysis. In Proceedings of the 18th International Conference on Health Informatics (HEALTHINF 2025), Porto, Portugal.【First author is master student】 [Scopus]【Honorable Mention for Best Poster】
Hoang N, Liang Z. (2025) Reconsidering AHI as an Indicator of Sleep Apnea Severity: Insights from Mining Large, Longitudinal Sleep Datasets. In Proceedings of the 18th International Conference on Health Informatics (HEALTHINF 2025), Porto, Portugal. 【First author is PhD student】 [Scopus]
Liang Z. (2025) Assessing Dietary Protein Intake: A Comparative Study of Two Consumer Mail-In Nutrition Test Kits. In Proceedings of the 18th International Conference on Health Informatics (HEALTHINF 2025), Porto, Portugal. [Scopus]
Hoang N, Liang Z. (2025) Interpretable Machine Learning Using Questionnaire Data: A Scalable Approach for Sleep Apnea Screening. In Proceedings of the World Sleep 2025, Singapore. (reviewed)
Hoang N, Villeneuve J, Morrison H, Tu A, Karunarathna T, Hwang D, Chen S, Khotchasing K, Liang Z, Melcer E. (2025) Delivering Sleep Hygiene Interventions through Smartwatch-based Serious Sleep Games. In Proceedings of the World Sleep 2025, Singapore. (reviewed)
Liang Z, Hoang N, Karunarathna T. (2025) Uncovering Sleep-Linked Glucose Dynamics in Healthy Individuals Using Wearable Data. In Proceedings of the World Sleep 2025, Singapore. (reviewed) (Acceptance rate for oral presentation = 14.3%)
Liang Z, Chapa-Martell MA. (2025) Visualizing Temporal Patterns in Sleep Tracker Accuracy: A Novel Approach to Validating Consumer Sleep Technologies. In Proceedings of the World Sleep 2025, Singapore. (reviewed)
Liang Z. (2025) Improving Sleep Stage Classification from Consumer Wearables Using a Two-Level Machine Learning Framework with Selective Correction. In Proceedings of the World Sleep 2025, Singapore. (reviewed)
Liang Z. (2025) Unpacking the Discrepancy Between Subjective and Wearable-Measured Sleep: A Neurophysiological Perspective Using fNIRS. In Proceedings of the World Sleep 2025, Singapore. (reviewed)
Liang Z. (2025) Bedtime Stress and Prefrontal Cortex Hemodynamics During Sleep: A Pilot Study Using Wearable fNIRS and Salivary Biomarkers. In Proceedings of the World Sleep 2025, Singapore. (reviewed)
Liang Z, Melcer E. Fostering Knowledge Convergence: Pedagogical Value of International and Interdisciplinary Research Collaboration. In Proceedings of the 73rd Annual Conference of Japanese Society for Engineering Education (JSEE) - International Session, Kyoto, Japan. (reviewed)
Hoang NH, Liang Z. Navigating Stress in Academic Life: An EDA Study of Stress Responses across Research Activities. In Proceedings of the 73rd Annual Conference of Japanese Society for Engineering Education (JSEE) - International Session, Kyoto, Japan. 【First author is PhD student】(reviewed)
Karunarathna T, Beten A, Lococo L, Baig A, Hoang N, Liang Z. Impact of Cross-Subject Distribution Shifts on Glucose Prediction Using Wearable Data. In Proceedings of the 2025 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2025), Tainan, Taiwan. (reviewed)
Hoang N, Karunarathna T, Liang Z. Elevating Sleep Monitoring Accuracy in Wearable Trackers via Multi-Level Modeling. Impact of Cross-Subject Distribution Shifts on Glucose Prediction Using Wearable Data. In Proceedings of the 2025 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2025), Tainan, Taiwan. (reviewed)
Melcer E, Chen S, Hwang D, Khotchasing K, Tu A, Villeneuve J, Liang Z. Hero's Sleep Journey. Serious Game Arcade, Montreal, Canada.
Saskovets M, Lohachov M, Liang Z. Towards Personalized Stress Monitoring: Multilevel and Machine Learning Models for Cortisol Prediction. In Proceedings of The 48th Annual Meeting of the Japan Neuroscience Society, Niigata, Japan. 【First author is PhD student】(reviewed)
Yapa HPPP, Senanayake A, Liang Z. (2025) PIFU: A novel framework to evaluate the interpretability of synthetic free-text explanations in digital mental health. In Proceedings of the Human-Centered Evaluation and Auditing of Language Models (HEAL@CHI '25), Yokohama, Japan. 【First author is PhD student】(reviewed) (The Most Trending Paper Mention)
Ahmed H, Liang Z. (2025) Wandering as CLOUDS: Designing Soft Nudges for Mood Logging and Reflection on Smartwatches. In Proceedings of the Envisioning the Future of Interactive Health Workshop in conjunction with CHI 2025, Yokohama, Japan.【First author is undergraduate student】(reviewed)
Liang Z. (2025) Statistical Lessons Learned in Personal Informatics Research. In Proceedings of the Envisioning the Future of Interactive Health Workshop in conjunction with CHI 2025, Yokohama, Japan. (reviewed)
Liang Z, Hoang NH, Karunarathna T. (2025) A Pilot Study on Sensemaking of Consumer Micronutrient Tests: Sufficiencies, Deficiencies, and Barriers to Improvement. In Proceedings of the Envisioning the Future of Interactive Health Workshop in conjunction with CHI 2025, Yokohama, Japan. (reviewed)
Carvalho CF, Karunarathna T, Liang Z. (2025) Exploring Gender Differences in Interstitial Glucose Dynamics through Multiscale Entropy Analysis. In Proceedings of the 9th International Conference on Medical and Health Informatics (ICMHI 2025), Kyoto, Japan.【First author is master student】(reviewed)
Hoang HN, Liang Z. (2025) Systematic Investigation of the Impact of Data Granularity on Feature Utility in SpO2-Based Sleep Apnea Detection. In Proceedings of the 9th International Conference on Medical and Health Informatics (ICMHI 2025), Kyoto, Japan.【First author is PhD student】(reviewed)
Karunarathna T, Carvalho CF, Liang Z. (2025) Predicting Glucose Levels: The Role of Physiological, Circadian, Behavioral and Demographic Features. In Proceedings of the 9th International Conference on Medical and Health Informatics (ICMHI 2025), Kyoto, Japan.【First author is undergraduate student】(reviewed)
Saskovets M, Lohachov M, Karlsson DC, Liang Z. (2025) Exploring the Feasibility of Cortisol Level Prediction Using Multimodal Physiological Signals. In Proceedings of the 9th International Conference on Medical and Health Informatics (ICMHI 2025), Kyoto, Japan.【First author is PhD student】(reviewed)
Yapa HPPP, Liang Z. (2025) Improving In-Context Learning Interpretability with Free-Text Explanations for Complex Tasks. In Proceedings of the 18th International Conference on Health Informatics (HEALTHINF 2025), Porto, Portugal.【First author is PhD student】(reviewed)
Liang Z, Melcer EF, Hwang D, Chen S, Hoang NH, Khotchasing K. (2025) Game On for Better Sleep: Designing Serious Games to Promote Sleep Hygiene in University Students. In Proceedings of the 18th International Conference on Health Informatics (HEALTHINF 2025), Porto, Portugal. (reviewed)
Yapa P, Senanayake AL, Liang Z. (2025) Enhancing interpretability of large language models for contextually dissimilar tasks. In Proceedings of the 87th National Convention of IPSJ, Osaka, Japan.【First author is PhD student】
Hoang HN, Liang Z. (2025) Identifying Sleep Apnea Risks Through Contrast Set Mining. In Proceedings of the 87th National Convention of IPSJ, Osaka, Japan.【First author is PhD student】
Franca Carvalho C, Liang Z. (2025) Deep Learning Based Continuous Glucose Prediction for Different Diabetic Populations. In Proceedings of the 87th National Convention of IPSJ, Osaka, Japan.【First author is master student】
Senanayake AL, Yapa P, Liang Z. (2025) Comparative Analysis of XGBoost and Conventional Machine Learning Models for Detecting Anxiety Using Psycholinguistic Features in Social Media Text. In Proceedings of the 87th National Convention of IPSJ, Osaka, Japan.【First author is master student】
Karunarathna T, Liang Z. (2024) Developing Consumer Wearable Compatible Computational Models for Non-Invasive Glucose Estimation in Diabetes Patients. In Proceedings of 2024 IEEE Consumer Life Tech Conference (ICLT 2024), Sydney, Australia.【First author is undergraduate student】[Scopus]
Ahmed H, Liang Z. (2024) CLOUDS: Seamless Mood Tracking on the Wrist. In Proceedings of 2024 IEEE Consumer Life Tech Conference (ICLT 2024), Sydney, Australia.【First author is undergraduate student】[Scopus]
Karunarathna T, Liang Z. (2024) Physiological Signal Based Blood Glucose Prediction in Diabetics and Non-Diabetics. In Proceedings of the 2024 IEEE International Conference on E-health Networking, Application & Services (HealthCom 2024), Nara, Japan.【First author is undergraduate student】[SCI/Scopus]
Hoang HN, Liang Z. (2024) Wearable-Friendly Apnea Severity Classification. In Proceedings of the 2024 IEEE International Conference on E-health Networking, Application & Services (HealthCom 2024), Nara, Japan.【First author is PhD student】[SCI/Scopus]
Priyadarshana, Y.H.P.P., Liang, Z., Piumarta, I. (2024). Transferring Large Language Models for Depression Detection through Multi-Party Conversation Analysis. In Proceedings of the 2024 IEEE International Conference on E-health Networking, Application & Services (HealthCom 2024), Nara, Japan.【First author is PhD student】[SCI/Scopus]
Khotchasing K, Hoang HN, Saleh A, Liang Z. (2024) WristPet: Promoting Daily Physical Activity Through Nudge Theory in a Smartwatch App. In Proceedings of the 13th Global Conference on Consumer Electronics (GCCE 2024), Kitakyushu, Japan. 【First author is master student】[SCI/Scopus]
Carvalho CF, Karunarathna TS, Liang Z. (2024) LSTM-Based Glucose Prediction for Prediabetes. In Proceedings of the 13th Global Conference on Consumer Electronics (GCCE 2024), Kitakyushu, Japan.【First author is master student】[SCI/Scopus]
Senanayake A, Liang Z. (2024) Time Series Analysis for Social Media Anxiety Detection: A Mini Review. In Proceedings of the 13th Global Conference on Consumer Electronics (GCCE 2024), Kitakyushu, Japan.【First author is master student】[SCI/Scopus]
Hoang HN, Liang Z. (2024) Apnea hypopnea index estimation from low-granularity overnight oxymetry data. In Proceedings of the 17th International Conference on Health Informatics (HEALTHINF 2024), Rome, Italy.【First author is PhD student】[Scopus]
Yapa H. P. P. P., Liang Z, Piumarta I. (2024) ProDepDet: Out-Of-Domain Knowledge Transfer of Pre-Trained Large Language Models for Depression Detection in Text-Based Multi-Party Conversations. In the Proceedings of The International Joint Conference on Neural Networks (IJCNN 2024), Yokohama, Japan.【First author is PhD student】[SCI/Scopus]
Hoang HN, Khotchasing K, Melcer E, Liang Z. (2024) Serious gamification app for improving sleep-wake cycle and sleep education. In Proceedings of the 17th International Conference on Health Informatics (HEALTHINF 2024), Rome, Italy.【First author is PhD student】[Scopus]
Hoang HN, Liang Z. (2024) Exploring Sleep Apnea Risk Factors with Contrast Set Mining: Findings from the Sleep Heart Health Study. In Proceedings of The 11th International Electronic Conference on Sensors and Applications (ECSA-11), online.【First author is PhD student】[Scopus]
Carvalho C, Liang Z. (2024) Glucose Prediction with Long Short-Term Memory (LSTM) Models on Three Distinct Populations. In Proceedings of The 11th International Electronic Conference on Sensors and Applications (ECSA-11), online.【First author is master student】[Scopus]
Liang Z, Nishida S, Noguchi T, Maenaka T. (2024) GyroTetris: Merging Mobile Gaming and Motion Sensing to Boost Motor Skills and Enjoyment. In Proceedings of the 13th Global Conference on Consumer Electronics (GCCE 2024), Kitakyushu, Japan. [SCI/Scopus]
Liang Z. (2024) Harnessing Consumer Smartwatches for Heart Rate Streaming in Unity Game Engine. In Proceedings of 2024 IEEE Consumer Life Tech Conference (ICLT 2024), Sydney, Australia. [Scopus]
Liang Z (2024) Exploring the Impact of Wearable Continuous Glucose Monitoring on Glucose Regulation and Eating Behavior in Healthy Individuals: A Pilot Study. In Proceedings of The 2nd Behavior Transformation by IoT International Workshop (BTIW 2024), Tokyo, Japan. [SCI/Scopus]
Marina Saskovets. (2024) Evaluating stress management through brain imaging and voice acoustics. OIST Workshop "Principles of Synapse Organization and Neural Nework Regulation Gained Through Evolution", Okinawa, Japan. 【First author is PhD student】
Franca Carvalho C, Liang Z. (2024) Glucose Prediction with Long Short-Term Memory (LSTM) Models. In Proceedings of the 4th International Conference on Big Data and Computational Intelligence (BDCI 2024), Kyoto, Japan. (reviewed)【First author is master student】【Best Presentation Award】
Liang Z. (2024) Middleware Solution for Real-Time Physiological Data Streaming from Consumer Smartwatches. In Proceedings of the 6th World Symposium on Software Engineering (WSSE 2024), Kyoto, Japan. (reviewed)【Best Presentation Award】
Hoang HN, Liang Z. (2024) Apnea-Hypopnea Index Estimation from Single Channel Blood Oxygen Saturation Data. In Proceedings of the 48th Annual Meeting of Japanese Society of Sleep Research (JSSR 2024), Yokohama, Japan. (reviewed)【First author is PhD student】
Saskovets M, Liang Z, Piumarta I. (2024) The Utility of fNIRS for Evaluating Human Voice Acoustics for Stress Management. In Proceedings of the VIII Biennial Meeting of the Society for functional near-infrared spectroscopy (SfNIRS 2024), Birmingham, UK. (reviewed)【First author is PhD student】
Saskovets M, Liang Z, Piumarta I. (2024) The Effect of Soothing Human Voice on the Stress Response. In Proceedings of the joint meeting of the 47th Annual Meeting of the Japan Neuroscience Society (JNS), the 67th Annual Meeting of the Japanese Society for Neurochemistry (JSN), the 46th Annual Meeting of the Japanese Society of Biological Psychiatry (JSBP), and the 8th Federation of Asian-Oceanian Neuroscience Societies (FAONS) Congress (NEURO 2024), Fukuoka, Japan. (reviewed)【First author is PhD student】
Karunarathna ST, Liang Z. (2024) Glucose Estimation Models for Diabetes and Their Utility on Healthy Individuals. In Proceedings of the 4th International Conference on Big Data and Computational Intelligence (BDCI 2024), Kyoto, Japan. (reviewed)【First author is undergraduate student】
Khotchasing K, Hoang HN, Liang Z. (2024) A Human-Computer Interaction Study of Smartwatch Application for Promoting Healthy Lifestyle. In Proceedings of the 6th World Symposium on Software Engineering (WSSE 2024), Kyoto, Japan. (reviewed)【First author is master student】
Hoang HN, Khotchasing K, Melcer E, Liang Z. (2024) Serious gamification app for improving sleep-wake cycle and sleep education. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2024), Rome, Italy. (reviewed)【First author is PhD student】【Best Doctoral Candidate Project Award】
Kosasih K. K., Liang Z. (2024) Predicting heart rate from pupilometric data. IEICE General Conference 2024, Hiroshima.【First author is master student】
Kosasih K. K. (2024) A multi modal dataset of exe tracking and other physiologlcal measures. IEICE GlobalNet Workshop 2024, Hiroshima.【First author is master student】
Liang Z. (2024) Computational Modeling for Effective Sleep Apnea Screening with Consumer Wearable Devices. In Proceedings of 3rd International Conference on Computing, Big Data and Internet of Things (CCBDIoT 2024), Chengdu, China. (reviewed)
Liang Z. (2024) Analysis of Students’ Response Time and Performance in Kahoot! Quiz Games in a University Engineering Course. In Proceedings of 12th International Conference on Information and Education Technology (ICIET 2024), Yamaguchi, Japan. (reviewed)
Yapa H. P. P. P., Liang Z, Piumarta I. (2023) Who Says What (WSW): A Novel Model for Utterance-Aware Speaker Identification in Text-Based Multi-Party Conversations. In Proceedings of the 19th International Conference on Web Information Systems and Technologies (WEBIST 2023), Rome, Italy. (Full paper acceptance rate = 25%)【First author is PhD student】【Best Paper Award (= top 1%)】[Scopus]
Yapa H. P. P. P., Liang Z, Piumarta I. (2023) HelaDepDet: A Novel Multi-Class Classification Model for Detecting the Severity of Human Depression. In Proceedings of the 29th International Conference on Collaboration Technologies and Social Computing (CollabTech 2023), Osaka, Japan. 【First author is PhD student】[SCI/Scopus]
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.【First author is master student】[SCI/Scopus]
Sirithummarak P, Liang Z. (2023) Developing a Cross-Platform Application for Integrating Real-time Time-series Data from Multiple Wearable Sensors. In Proceedings of the 10th International Electronic Conference on Sensors and Applications (ECSA2023), Cyberspace.【First author is master student】[Scopus]
Del Valle A, Liang Z, Piumarta I. (2023) A bi-national investigation of the needs of visually disabled people from Mexico and Japan. In Proceedings of 7th the International Conference on Computer-Human Interaction Research and Applications (CHIRA 2023), Rome, Italy.【First author is master student】 [SCI/Scopus]
Jayen H, Lukovnikova A, Nhung HH, Liang Z. (2023) Mining Contrast Rules in a Sleep Apnea Dataset. In Proceedings of the 2023 IEEE 12th Global Conference on Consumer Electronics (GCCE 2023), Nara, Japan. 【First authors are visiting undergraduate students】[Scopus]
Liang Z. (2023) Effect of Decision Boundary for Logistic Regression Classifiers on Sleep Apnea Screening Accuracy with Wearable SpO2 Data. In Proceedings of the14th International Conference on Mobile Computing and Ubiquitous Networking (ICMU 2023), Kyoto, Japan. [Scopus]
Liang Z. (2023) Developing Sleep Apnea Screening Models Compatible With Low-Resolution SpO2 Data. In Proceedings of the 2023 IEEE 12th Global Conference on Consumer Electronics (GCCE 2023), Nara, Japan. [Scopus]
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]
Liang Z. (2023) Comparing Attitudes Towards Mobile App Development between International Students and Domestic Japanese Students. In Proceedings of the 2023 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE 2023), Auckland, New Zealand. [SCI/Scopus]
Liang Z. (2023) Enhancing Learning Experience in University Engineering Classes with Kahoot! Quiz Games. In Proceedings of the 31st International Conference on Computers in Education (ICCE 2023), Takamatsu, Japan. [Scopus]
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]
Hoang HN, Liang Z. (2023) Shallow and Deep Learning Models for Detecting Apnea Events in Stroke Patients. The 4th Sleep Congress of Asian Society of Sleep (ASSM 2023), Bangkok, Thailand.【First author is PhD student】(reviewed)
Khotchasing K, Liang Z. (2023) A Pilot Study into the Feasibility of Utilizing Contagious Yawning to improve Sleep Quality. The 4th Sleep Congress of Asian Society of Sleep (ASSM 2023), Bangkok, Thailand. 【First author is master student】(reviewed)
Nhung HH, Jayen H, Lukovnikova A, Liang Z. (2023) Beyond Statistical Analysis: Identifying Meaningful Patterns in Sleep Apnea Dataset using Contrast Set Mining. In Proceedings of the 48th Annual Meeting of Japanese Society of Sleep Research (JSSR), Yokohama, Japan.【First author is master student】(reviewed)
Khotchasing K, Nhung HH, Liang Z. (2023) Design and Development of Gamification mHealth Application for Sleep Hygiene Intervention. In Proceedings of the 48th Annual Meeting of Japanese Society of Sleep Research (JSSR), Yokohama, Japan. 【First author is master student】(reviewed)
Saskovets M, Liang Z. (2023) Validation of a New Stress Induction Protocol using Speech Improvisation in Front of Audience: an fNIRS Pilot Study. The 2023 International Artinis (f)NIRS Symposium, Bangkok, Thailand. 【First author is PhD student】
Sirithummarak P, Liang Z. (2023) Developing a Cross-Platform Application for Health Data Integration from Multiple Wearable Sensors. IEICE Society Conference 2023, Nagoya. 【First author is master student】
Nhung H. H., Liang Z. (2023) Identifying Patterns in Continuous Glucose Monitoring Data using Contrast Set Mining. IEICE General Conference 2023, Oomiya.【First author is master student】
Liang Z, Yahya KN, Setiawan EN, Kasan JA, Firdauzi MO. (2023) FunAlarm: Gamification-Based Smartphone Alarm Application for Reducing Wakeup Delay. The 4th Sleep Congress of Asian Society of Sleep (ASSM 2023), Bangkok, Thailand. (reviewed)
Liang Z, Saskovets M. (2023) Investigating Subjective-Objective Sleep Discrepancy with Consumer Sleep Tracking and Wearable fNIRS Technologies. The 2023 International Artinis (f)NIRS Symposium, Bangkok, Thailand.
Liang Z. (2023) Machine Learning based Sleep Apnea Screening with Overnight SpO2 Recordings. In Proceedings of the 48th Annual Meeting of Japanese Society of Sleep Research (JSSR), Yokohama, Japan. 【Nominated for the Best Presentation Award (= top 12.5%)】
Liang Z. (2023) Gamifying Digital Signal Processing Learning with Kahoot! Quiz. IEICE General Conference 2023, Oomiya.
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. 【First authors are undergraduate students】[Scopus]
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. (Full paper acceptance rate = 23%) [SCI/Scopus]
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]
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]
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]
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)
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%)】
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. 【First author is master student】[Scopus ]
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. 【First authors are visiting master students】[SCI /Scopus]
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]
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]
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.
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.
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.
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】
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.
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]
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]
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]
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]
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.
Liang Z (2020) Engaging students in online virtual classroom using web application Sutori. The 19th IPSJ Forum of Information Technology, Hokkaido, Japan.
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.
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.
Liang Z, Chapa-Martell MA. (2020) Towards the visualization of classroom orchestration. Annual Meeting of The Japanese Society for Educational Technology (JSET), Nagano, Japan.
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】
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】
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.
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]
Liang Z. (2019) Design of a web development attitudes survey. In Proceedings of IEEE TALE 2019, Yogyakarta, Indonesia. [Scopus]
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]
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]
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]
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]
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.
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.
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.
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.
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]
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.
Egholm-Andersen, L., Liang, Z., Morimura, K. (2018). A web application for analyzing stress association factors among students. IEICE General Conference, Tokyo.
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]
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]
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]
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]
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]
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]
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.
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.
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.
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.
Liang Z, Chapa-Martell MA. (2017). Paradox in validating consumer wearable activity trackers on measuring sleep quality. The 16th Forum on Information Technology, Tokyo.
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.
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.
Liang, Z., Chapa-Martell, M. A. (2017). Mining wearable sleep data for detecting unusual sleep. IEICE General Conference, Nagoya.
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.
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.
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】
Morimura K, Hernandez YA, Liang Z. (2017) M-Skype as a COIL program: collaborative online international learning. JSEE Annual Conference International Session Proceedings 2017.
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]
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]
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]
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]
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]
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]
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.
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.
Liang, Z., Nishimura, S., Nishimura, T. (2016) Quantifying core strength in viewpoint of neuromuscular control. In Proceedings of LIFE2016, Sendai.
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.