Select Publications
Preprints
2024, GustosonicSense: Towards understanding the design of playful gustosonic eating experiences, , http://arxiv.org/abs/2403.10851v1
,2024, Prompt Mining for Language-based Human Mobility Forecasting, , http://arxiv.org/abs/2403.03544v1
,2024, SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding, , http://arxiv.org/abs/2402.12132v1
,2023, Investigating Emotions, Social Roles, Well-being and Mobile Usage Behaviors During COVID-19 Home Confinement, , http://arxiv.org/abs/2310.13304v1
,2023, Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning, , http://dx.doi.org/10.1145/3600100.3623726
,2023, Designing and Evaluating Presentation Strategies for Fact-Checked Content, , http://dx.doi.org/10.1145/3583780.3614841
,2023, Contrastive Learning-based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling using EHRs, , http://arxiv.org/abs/2308.09896v1
,2023, Towards Mobility Data Science (Vision Paper), , http://arxiv.org/abs/2307.05717v4
,2023, A System of Monitoring and Analyzing Human Indoor Mobility and Air Quality, , http://dx.doi.org/10.48550/arxiv.2306.11773
,2023, Continually learning out-of-distribution spatiotemporal data for robust energy forecasting, , http://dx.doi.org/10.1007/978-3-031-43430-3_1
,2023, Message Passing Neural Networks for Traffic Forecasting, , http://arxiv.org/abs/2305.05740v1
,2023, Traffic Forecasting on New Roads Using Spatial Contrastive Pre-Training (SCPT), , http://dx.doi.org/10.1007/s10618-023-00982-0
,2023, Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study, , http://dx.doi.org/10.48550/arxiv.2305.00619
,2023, Examining the Impact of Uncontrolled Variables on Physiological Signals in User Studies for Information Processing Activities, , http://dx.doi.org/10.1145/3539618.3591981
,2023, Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness, , http://arxiv.org/abs/2304.09779v2
,2023, Are footpaths encroached by shared e-scooters? Spatio-temporal Analysis of Micro-mobility Services, , http://arxiv.org/abs/2304.08721v1
,2023, Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting, , http://dx.doi.org/10.1145/3576842.3582362
,2023, Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction, , http://arxiv.org/abs/2301.04482v2
,2022, Detecting Change Intervals with Isolation Distributional Kernel, , http://dx.doi.org/10.48550/arxiv.2212.14630
,2022, CrossPyramid: Neural Ordinary Differential Equations Architecture for Partially-observed Time-series, , http://arxiv.org/abs/2212.03560v1
,2022, Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values, , http://dx.doi.org/10.48550/arxiv.2211.06045
,2022, Analysing Donors' Behaviour in Non-profit Organisations for Disaster Resilience: The 2019--2020 Australian Bushfires Case Study, , http://arxiv.org/abs/2210.09034v1
,2022, PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting, , http://arxiv.org/abs/2210.08964v5
,2022, Leveraging Language Foundation Models for Human Mobility Forecasting, , http://arxiv.org/abs/2209.05479v2
,2022, Imagining Future Digital Assistants at Work: A Study of Task Management Needs, , http://arxiv.org/abs/2208.03443v1
,2022, COCOA: Cross Modality Contrastive Learning for Sensor Data, , http://dx.doi.org/10.1145/3550316
,2022, Modeling Long-term Dependencies and Short-term Correlations in Patient Journey Data with Temporal Attention Networks for Health Prediction, , http://dx.doi.org/10.1145/3535508.3545535
,2022, How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies, , http://arxiv.org/abs/2207.04581v3
,2022, Investigating the Effects of Mood & Usage Behaviour on Notification Response Time, , http://arxiv.org/abs/2207.03405v1
,2022, Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data, , http://arxiv.org/abs/2206.02353v2
,2022, Long-term Spatio-temporal Forecasting via Dynamic Multiple-Graph Attention, , http://dx.doi.org/10.24963/ijcai.2022/309
,2022, Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model Multiplicity, , http://arxiv.org/abs/2203.07139v3
,2022, Measuring disentangled generative spatio-temporal representation, , http://dx.doi.org/10.48550/arxiv.2202.04821
,2021, Individual and Group-wise Classroom Seating Experience: Effects on Student Engagement in Different Courses, , http://dx.doi.org/10.1145/3550335
,2021, Event-Aware Multimodal Mobility Nowcasting, , http://arxiv.org/abs/2112.08443v1
,2021, Translating Human Mobility Forecasting through Natural Language Generation, , http://arxiv.org/abs/2112.11481v1
,2021, GCCN: Global Context Convolutional Network, , http://arxiv.org/abs/2110.11664v1
,2021, Signature-Graph Networks, , http://arxiv.org/abs/2110.11551v1
,2021, PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series, , http://arxiv.org/abs/2110.00071v2
,2021, MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction, , http://arxiv.org/abs/2110.01401v1
,2021, CoSEM: Contextual and Semantic Embedding for App Usage Prediction, , http://dx.doi.org/10.48550/arxiv.2108.11561
,2021, Evolutionary Ensemble Learning for Multivariate Time Series Prediction, , http://arxiv.org/abs/2108.09659v1
,2021, Investigating the Reliability of Self-report Data in the Wild: The Quest for Ground Truth, , http://arxiv.org/abs/2107.00389v2
,2021, MoParkeR : Multi-objective Parking Recommendation, , http://dx.doi.org/10.48550/arxiv.2106.07384
,2021, Towards Social Role-Based Interruptibility Management, , http://dx.doi.org/10.1109/MPRV.2022.3229905
,2021, Predicting Flight Delay with Spatio-Temporal Trajectory Convolutional Network and Airport Situational Awareness Map, , http://dx.doi.org/10.1016/j.neucom.2021.04.136
,2021, Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification, , http://dx.doi.org/10.1145/3447548.3467263
,2021, Understanding occupants' behaviour, engagement, emotion, and comfort indoors with heterogeneous sensors and wearables, , http://arxiv.org/abs/2105.06637v3
,2021, Spatiotemporal Data Mining: A Survey on Challenges and Open Problems, , http://arxiv.org/abs/2103.17128v1
,2021, Drone-as-a-Service Composition Under Uncertainty, , http://arxiv.org/abs/2103.06513v1
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