By Professor Flora Salim

Preprints

Ji K; Hettiachchi D; Salim FD; Scholer F; Spina D, 2024, Characterizing Information Seeking Processes with Multiple Physiological Signals, http://dx.doi.org/10.1145/3626772.3657793

Zhang H; Swain VD; Wang L; Gao N; Sheng Y; Xu X; Salim FD; Saha K; Dey AK; Mankoff J, 2024, Illuminating the Unseen: Investigating the Context-induced Harms in Behavioral Sensing, http://dx.doi.org/10.48550/arxiv.2404.14665

Li P; Rijke MD; Xue H; Ao S; Song Y; Salim FD, 2024, Large Language Models for Next Point-of-Interest Recommendation, http://dx.doi.org/10.1145/3626772.3657840

Wang Y; Obie HO; Li Z; Salim FD; Grundy J; Mueller FF, 2024, GustosonicSense: Towards understanding the design of playful gustosonic eating experiences, http://arxiv.org/abs/2403.10851v1

Xue H; Tang T; Payani A; Salim FD, 2024, Prompt Mining for Language-based Human Mobility Forecasting, http://arxiv.org/abs/2403.03544v1

Saleem H; Salim F; Purcell C, 2024, STC-ViT: Spatio Temporal Continuous Vision Transformer for Weather Forecasting, http://dx.doi.org/10.48550/arxiv.2402.17966

Yang R; Salim FD; Xue H, 2024, SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding, http://arxiv.org/abs/2402.12132v1

Wang S; Xu X; Zeng Y, 2024, Deep Learning-Based CKM Construction with Image Super-Resolution, http://dx.doi.org/10.32388/vj94l6

Curran D; Saleem H; Hobeichi S; Salim F, 2024, Resolution-Agnostic Transformer-based Climate Downscaling, http://dx.doi.org/10.32388/jt4y4x

Snoswell AJ; Nelson L; Xue H; Salim FD; Suzor N; Burgess J, 2023, Measuring Misogyny in Natural Language Generation: Preliminary Results from a Case Study on two Reddit Communities, http://dx.doi.org/10.48550/arxiv.2312.03330

Gao N; Ananthan S; Yu C; Wang Y; Salim FD, 2023, Critiquing Self-report Practices for Human Mental and Wellbeing Computing at Ubicomp, http://arxiv.org/abs/2311.15496v1

Gao N; Yu Z; Xu Y; Yu C; Wang Y; Salim FD; Shi Y, 2023, Leveraging Large Language Models for Generating Mobile Sensing Strategies in Human Behavior Modeling, http://dx.doi.org/10.1145/3675094.3678423

Abbasnejad I; Zambetta F; Salim F; Wiley T; Chan J; Gallagher R; Abbasnejad E, 2023, SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation, http://dx.doi.org/10.48550/arxiv.2311.03866

Xue H; Salim FD, 2023, Utilizing Language Models for Energy Load Forecasting, http://arxiv.org/abs/2310.17788v1

Khaokaew Y; Ji K; Nguyen TH; Kegalle H; Alaofi M; Xue H; Salim FD, 2023, ZzzGPT: An Interactive GPT Approach to Enhance Sleep Quality, http://dx.doi.org/10.48550/arxiv.2310.16242

Gao N; Nolan S; Ji K; Rumi SK; Heinisch JS; Anderson C; David K; Salim FD, 2023, "Living Within Four Walls": Exploring Emotional and Social Dynamics in Mobile Usage During Home Confinement, http://arxiv.org/abs/2310.13304v3

Xue H; Salim FD, 2023, Human Mobility Question Answering (Vision Paper), http://arxiv.org/abs/2310.04443v2

Khaokaew Y; Xue H; Salim FD, 2023, MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings, http://dx.doi.org/10.48550/arxiv.2309.08648

Small EA; Clark JN; McWilliams CJ; Sokol K; Chan J; Salim FD; Santos-Rodriguez R, 2023, Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse, http://dx.doi.org/10.48550/arxiv.2309.04211

Prabowo A; Chen K; Xue H; Sethuvenkatraman S; Salim FD, 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

Hettiachchi D; Holcombe-James I; Livingstone S; de Silva A; Lease M; Salim FD; Sanderson M, 2023, How Crowd Worker Factors Influence Subjective Annotations: A Study of Tagging Misogynistic Hate Speech in Tweets, http://dx.doi.org/10.48550/arxiv.2309.01288

Trisedya BD; Salim FD; Chan J; Spina D; Scholer F; Sanderson M, 2023, i-Align: an interpretable knowledge graph alignment model, http://dx.doi.org/10.48550/arxiv.2308.13755

Liu Y; Zhang Z; Qin S; Salim FD; Yepes AJ; Shen J; Bian J, 2023, Hypergraph Convolutional Networks for Fine-grained ICU Patient Similarity Analysis and Risk Prediction, http://dx.doi.org/10.48550/arxiv.2308.12575

Hettiachchi D; Ji K; Kennedy J; McCosker A; Salim FD; Sanderson M; Scholer F; Spina D, 2023, Designing and Evaluating Presentation Strategies for Fact-Checked Content, http://dx.doi.org/10.1145/3583780.3614841

Liu Y; Zhang Z; Qin S; Salim FD; Yepes AJ, 2023, Contrastive Learning-based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling using EHRs, http://arxiv.org/abs/2308.09896v1

Deldari S; Spathis D; Malekzadeh M; Kawsar F; Salim F; Mathur A, 2023, CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking, http://dx.doi.org/10.48550/arxiv.2307.16847

Mokbel M; Sakr M; Xiong L; Züfle A; Almeida J; Anderson T; Aref W; Andrienko G; Andrienko N; Cao Y; Chawla S; Cheng R; Chrysanthis P; Fei X; Ghinita G; Graser A; Gunopulos D; Jensen C; Kim J-S; Kim K-S; Kröger P; Krumm J; Lauer J; Magdy A; Nascimento M; Ravada S; Renz M; Sacharidis D; Shahabi C; Salim F; Sarwat M; Schoemans M; Speckmann B; Tanin E; Teng X; Theodoridis Y; Torp K; Trajcevski G; Kreveld MV; Wenk C; Werner M; Wong R; Wu S; Xu J; Youssef M; Zeinalipour D; Zhang M; Zimányi E, 2023, Towards Mobility Data Science (Vision Paper), http://arxiv.org/abs/2307.05717v4

Qin KK; Rahaman MS; Ren Y; Cheng C-T; Cole I; Salim FD, 2023, A System of Monitoring and Analyzing Human Indoor Mobility and Air Quality, http://dx.doi.org/10.48550/arxiv.2306.11773

Prabowo A; Chen K; Xue H; Sethuvenkatraman S; Salim FD, 2023, Continually learning out-of-distribution spatiotemporal data for robust energy forecasting, http://dx.doi.org/10.1007/978-3-031-43430-3_1

Jin M; Shi G; Li Y-F; Xiong B; Zhou T; Salim FD; Zhao L; Wu L; Wen Q; Pan S, 2023, Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting, http://dx.doi.org/10.48550/arxiv.2305.06587

Prabowo A; Xue H; Shao W; Koniusz P; Salim FD, 2023, Message Passing Neural Networks for Traffic Forecasting, http://arxiv.org/abs/2305.05740v1

Prabowo A; Xue H; Shao W; Koniusz P; Salim FD, 2023, Traffic Forecasting on New Roads Using Spatial Contrastive Pre-Training (SCPT), http://dx.doi.org/10.1007/s10618-023-00982-0

Liu J; Deldari S; Xue H; Nguyen V; Salim FD, 2023, Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study, http://dx.doi.org/10.48550/arxiv.2305.00619

Ji K; Spina D; Hettiachchi D; Salim FD; Scholer F, 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

Small EA; Sokol K; Manning D; Salim FD; Chan J, 2023, Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness, http://dx.doi.org/10.1145/3630106.3658989

Kegalle H; Hettiachchi D; Chan J; Salim F; Sanderson M, 2023, Are footpaths encroached by shared e-scooters? Spatio-temporal Analysis of Micro-mobility Services, http://arxiv.org/abs/2304.08721v1

Huang R; Xue H; Pagnucco M; Salim F; Song Y, 2023, Vision-based Multi-future Trajectory Prediction: A Survey, http://dx.doi.org/10.48550/arxiv.2302.10463

Prabowo A; Shao W; Xue H; Koniusz P; Salim FD, 2023, Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting, http://dx.doi.org/10.1145/3576842.3582362

Qin KK; Ren Y; Shao W; Lake B; Privitera F; Salim FD, 2023, Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction, http://arxiv.org/abs/2301.04482v2

Cao Y; Zhu Y; Ting KM; Salim FD; Li HX; Yang L; Li G, 2022, Detecting Change Intervals with Isolation Distributional Kernel, http://dx.doi.org/10.48550/arxiv.2212.14630

Abushaqra FM; Xue H; Ren Y; Salim FD, 2022, SeqLink: A Robust Neural-ODE Architecture for Modelling Partially Observed Time Series, http://arxiv.org/abs/2212.03560v3

Liu Y; Qin S; Yepes AJ; Shao W; Zhang Z; Salim FD, 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

Rajapaksha D; Sokol K; Chan J; Salim F; Prasad M; Samarawickrama M, 2022, Analysing Donors' Behaviour in Non-profit Organisations for Disaster Resilience: The 2019--2020 Australian Bushfires Case Study, http://arxiv.org/abs/2210.09034v1

Xue H; Salim FD, 2022, PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting, http://arxiv.org/abs/2210.08964v5

Xue H; Voutharoja BP; Salim FD, 2022, Leveraging Language Foundation Models for Human Mobility Forecasting, http://arxiv.org/abs/2209.05479v2

Khaokaew Y; Holcombe-James I; Rahaman MS; Liono J; Trippas JR; Spina D; Belkin N; Bailey P; Bennett PN; Ren Y; Sanderson M; Scholer F; White RW; Salim FD, 2022, Imagining Future Digital Assistants at Work: A Study of Task Management Needs, http://arxiv.org/abs/2208.03443v1

Deldari S; Xue H; Saeed A; Smith DV; Salim FD, 2022, COCOA: Cross Modality Contrastive Learning for Sensor Data, http://dx.doi.org/10.1145/3550316

Liu Y; Zhang Z; Yepes AJ; Salim FD, 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

Small E; Shao W; Zhang Z; Liu P; Chan J; Sokol K; Salim F, 2022, How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies, http://arxiv.org/abs/2207.04581v4

Heinisch JS; Gao N; Anderson C; Deldari S; David K; Salim F, 2022, Investigating the Effects of Mood & Usage Behaviour on Notification Response Time, http://arxiv.org/abs/2207.03405v1

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