CONFERENCE PAPER (NON-INDEXED)

2025

• 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)

• 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. (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】

2024

• 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)

2023

• 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.

2022

• 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%)】

2021

• 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.

2020

• 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.

2019

• 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.

2018

• 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. ​

2017

• 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.​

2016

• 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.