Select Publications
By Ms Nan Gao
Journal articles
2022, 'A Global Building Occupant Behavior Database', Scientific Data, 9, http://dx.doi.org/10.1038/s41597-022-01475-3
,2022, 'Understanding occupants’ behaviour, engagement, emotion, and comfort indoors with heterogeneous sensors and wearables', Scientific Data, 9, http://dx.doi.org/10.1038/s41597-022-01347-w
,2022, 'Individual and Group-wise Classroom Seating Experience: Effects on Student Engagement in Different Courses', Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 6, http://dx.doi.org/10.1145/3550335
,2022, 'Generative Adversarial Networks for Spatio-temporal Data: A Survey', ACM Transactions on Intelligent Systems and Technology, 13, http://dx.doi.org/10.1145/3474838
,2022, 'Cutting the Unnecessary Long Tail: Cost-Effective Big Data Clustering in the Cloud', IEEE Transactions on Cloud Computing, 10, pp. 292 - 303, http://dx.doi.org/10.1109/TCC.2019.2947678
,2021, 'Transfer learning for thermal comfort prediction in multiple cities', Building and Environment, 195, http://dx.doi.org/10.1016/j.buildenv.2021.107725
,2020, 'Current practices and infrastructure for open data based research on occupant-centric design and operation of buildings', Building and Environment, 177, http://dx.doi.org/10.1016/j.buildenv.2020.106848
,2019, 'Predicting Personality Traits from Physical Activity Intensity', Computer, 52, pp. 47 - 56, http://dx.doi.org/10.1109/MC.2019.2913751
,2019, 'Service selection with qos correlations in distributed service-based systems', IEEE Access, 7, pp. 88718 - 88732, http://dx.doi.org/10.1109/ACCESS.2019.2926127
,Conference Papers
2021, 'Investigating the Reliability of Self-report Data in the Wild: The Quest for Ground Truth', in UbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, pp. 237 - 242, http://dx.doi.org/10.1145/3460418.3479338
,Preprints
2023, Critiquing Self-report Practices for Human Mental and Wellbeing Computing at Ubicomp, , http://arxiv.org/abs/2311.15496v1
,2023, Automated Mobile Sensing Strategies Generation for Human Behaviour Understanding, , http://arxiv.org/abs/2311.05457v1
,2023, "Living Within Four Walls": Exploring Emotional and Social Dynamics in Mobile Usage During Home Confinement, , http://arxiv.org/abs/2310.13304v2
,2022, Investigating the Effects of Mood & Usage Behaviour on Notification Response Time, , http://arxiv.org/abs/2207.03405v1
,2021, Individual and Group-wise Classroom Seating Experience: Effects on Student Engagement in Different Courses, , http://dx.doi.org/10.1145/3550335
,2021, Cost-effective Land Cover Classification for Remote Sensing Images, , http://arxiv.org/abs/2107.12016v2
,2021, Investigating the Reliability of Self-report Data in the Wild: The Quest for Ground Truth, , http://arxiv.org/abs/2107.00389v2
,2021, Understanding occupants' behaviour, engagement, emotion, and comfort indoors with heterogeneous sensors and wearables, , http://arxiv.org/abs/2105.06637v3
,2020, Generative Adversarial Networks for Spatio-temporal Data: A Survey, , http://dx.doi.org/10.1145/3474838
,2020, n-Gage: Predicting in-class Emotional, Behavioural and Cognitive Engagement in the Wild, , http://arxiv.org/abs/2007.04831v4
,2020, Transfer Learning for Thermal Comfort Prediction in Multiple Cities, , http://arxiv.org/abs/2004.14382v3
,2019, Cutting the Unnecessary Long Tail: Cost-Effective Big Data Clustering in the Cloud, , http://arxiv.org/abs/1909.10000v1
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