Preprint

• ​Liang Z. (2023) Novel method combining multiscale attention entropy of overnight blood oxygen level and machine learning for easy sleep apnea screening.

Journal

• ​​Nhung, H. H., Liang Z. (2023) Knowledge discovery in ubiquitous and personal sleep-tracking: a scoping review. JMIR mHealth and uHealth 11:e42750. (Impact factor: 5.65, Q1)  [SCI/Scopus/PubMed]【First author is master student】

• 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. (Impact factor: 3.06, Q1)  [SCI/Scopus] 

• Liang Z. (2022). Context-aware sleep health recommender systems (CASHRS): a narrative review.  Electronics 2022, 11(20), 3384. Doi: 10.3390/electronics1120338 (Impact factor: 2.69, Q2)  [SCI/Scopus]

• 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).  [SCI/Scopus/PubMed] 

Book Chapter

• 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]     

Invited Talk

• Liang Z. (2023) From Serious Games to Wearables: Supporting People with Developmental Disorders with AI-Empowered Ubiquitous Computing Technologies. KUAS Research Network Symposium.

• Liang Z. (2022) Machine learning and data mining in consumer health informatics. International Seminar on Seminar on Machine Learning, Optimization, and Data Science.

Conference Proceedings (Reviewed and Indexed)

• 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. [Scopus] 【First author is PhD student】

• 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】

• 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】

• 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. [Scopus] 【First author is master student】

• 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.  [Scopus] 【First authors are visiting undergraduate students】 

• 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) 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) 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.

• 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, 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] 

• 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】

• 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] 

• 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] 

Conference Proceedings (Non-Reviewed or Non-Indexed)

• 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】

• 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.

• 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】

• 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】

• 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.

• 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】

• Liang Z. (2023) Gamifying Digital Signal Processing Learning with Kahoot! Quiz. IEICE General Conference 2023, Oomiya.

• 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%)】​