By Professor Flora Salim

Conference Papers

Salim FD; Loke SW; Rakotonirainy A; Krishnaswamy S, 2007, 'U&I Aware: A Framework Using Data Mining and Collision Detection to Increase Awareness for Intersection Users', in 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07), IEEE, pp. 530 - 535, presented at 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07), 21 May 2007 - 23 May 2007, http://dx.doi.org/10.1109/ainaw.2007.360

Salim FD; Loke SW; Rakotonirainy A; Krishnaswamy S, 2007, 'Simulated intersection environment and learning of collision and traffic data in the U&I aware framework', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 153 - 162, http://dx.doi.org/10.1007/978-3-540-73549-6_16

Salim FD; Krishnaswamy S; Loke SW; Rakotonirainy A, 2005, 'Context-aware ubiquitous data mining based agent model for intersection safety', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 61 - 70, http://dx.doi.org/10.1007/11596042_7

Salim FD; Price R; Krishnaswamy S; Indrawan M, 2004, 'UML documentation support for XML schema', in Proceedings of the Australian Software Engineering Conference, ASWEC, pp. 211 - 220, http://dx.doi.org/10.1109/ASWEC.2004.1290474

Salim FD; Price R; Indrawan M; Krishnaswamy S, 2004, 'Graphical representation of XML schema', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 234 - 245, http://dx.doi.org/10.1007/978-3-540-24655-8_25

Preprints

Saleem H; Salim F; Purcell C, 2024, PACER: Physics Informed Uncertainty Aware Climate Emulator, http://arxiv.org/abs/2410.21657v2

Wongso W; Xue H; Salim FD, 2024, GenUP: Generative User Profilers as In-Context Learners for Next POI Recommender Systems, http://arxiv.org/abs/2410.20643v1

Casolin E; Salim FD; Newell B, 2024, Evaluating the Influences of Explanation Style on Human-AI Reliance, http://arxiv.org/abs/2410.20067v1

Li Z; Deldari S; Chen L; Xue H; Salim FD, 2024, SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition, http://arxiv.org/abs/2410.10624v1

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://dx.doi.org/10.48550/arxiv.2407.14116

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/2406.13123v2

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 Dataset for Ultra-Dynamic Forecasting Challenges, 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; White S; Salim FD, 2024, A Gap in Time: The Challenge of Processing Heterogeneous IoT Point Data in 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

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/2310.13304v2

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

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