By Professor Flora Salim

Preprints

Naghizade E; Ji K; Tag B; Salim F, 2024, Inside Out or Not: Privacy Implications of Emotional Disclosure, http://dx.doi.org/10.1145/3675094.3677598

Hu Y; Zhang S; Dang T; Jia H; Salim FD; Hu W; Quigley AJ, 2024, Exploring Large-Scale Language Models to Evaluate EEG-Based Multimodal Data for Mental Health, http://dx.doi.org/10.48550/arxiv.2408.07313

Khaokaew Y; Xue H; Rahaman MS; Salim FD, 2024, WorkR: Occupation Inference for Intelligent Task Assistance, http://dx.doi.org/10.48550/arxiv.2407.18518

Kang Y; Chan J; Shao W; Salim FD; Leckie C, 2024, Long-term Fairness in Ride-Hailing Platform, http://dx.doi.org/10.48550/arxiv.2407.17839

Deldari S; Goudarzi M; Joshi A; Shaghaghi A; Finn S; Salim FD; Jha S, 2024, AuditNet: A Conversational AI-based Security Assistant [DEMO], http://arxiv.org/abs/2407.14116v1

Ananthan S; Gao N; Salim FD, 2024, Understanding Physiological Responses of Students Over Different Courses, http://dx.doi.org/10.1145/3675095.3676620

Ao S; Khan S; Aziz H; Salim FD, 2024, REVEAL-IT: REinforcement learning with Visibility of Evolving Agent poLicy for InTerpretability, http://arxiv.org/abs/2406.14214v6

Tang T; Deldari S; Xue H; Melo CD; Salim FD, 2024, ViLCo-Bench: VIdeo Language COntinual learning Benchmark, http://arxiv.org/abs/2406.13123v3

Yin D; Deng J; Ao S; Li Z; Xue H; Prabowo A; Jiang R; Song X; Salim F, 2024, Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned, http://dx.doi.org/10.48550/arxiv.2406.12709

Yin D; Xue H; Prabowo A; Ao S; Salim F, 2024, XXLTraffic: Expanding and Extremely Long Traffic forecasting beyond test adaptation, http://dx.doi.org/10.48550/arxiv.2406.12693

Prabowo A; Lin X; Razzak I; Xue H; Yap EW; Amos M; Salim FD, 2024, BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics, http://arxiv.org/abs/2406.08990v2

Li L; Xue H; Song Y; Salim F, 2024, T-JEPA: A Joint-Embedding Predictive Architecture for Trajectory Similarity Computation, http://dx.doi.org/10.48550/arxiv.2406.12913

Shao W; Kang Y; Peng Z; Xiao X; Wang L; Yang Y; Salim FD, 2024, STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning, http://arxiv.org/abs/2406.04035v3

Cruz FZD; Salim FD; Khaokaew Y; Chan J, 2024, CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework, http://dx.doi.org/10.48550/arxiv.2406.03109

Shao W; Zhu R; Yang C; Thapa C; Ahmed ME; Camtepe S; Zhang R; Kim D; Menouar H; Salim FD, 2024, ST-DPGAN: A Privacy-preserving Framework for Spatiotemporal Data Generation, http://dx.doi.org/10.48550/arxiv.2406.03404

Kang Y; Zhang R; Shao W; Salim FD; Chan J, 2024, Promoting Two-sided Fairness in Dynamic Vehicle Routing Problem, http://dx.doi.org/10.48550/arxiv.2405.19184

Curran D; Saleem H; Salim F, 2024, Identifying high resolution benchmark data needs and Novel data-driven methodologies for Climate Downscaling, http://arxiv.org/abs/2405.20346v1

Nguyen D; Joshi A; Salim F, 2024, Spectraformer: A Unified Random Feature Framework for Transformer, http://arxiv.org/abs/2405.15310v3

Lin X; Prabowo A; Razzak I; Xue H; Amos M; Behrens S; Salim FD, 2024, A Gap in Time: The Challenge of Processing Heterogeneous IoT Data in Digitalized Buildings, http://dx.doi.org/10.48550/arxiv.2405.14267

Ji K; Cherumanal SP; Trippas JR; Hettiachchi D; Salim FD; Scholer F; Spina D, 2024, Towards Detecting and Mitigating Cognitive Bias in Spoken Conversational Search, http://dx.doi.org/10.48550/arxiv.2405.12480

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

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