By Professor Flora Salim

Conference Papers

Li P; De Rijke M; Xue H; Ao S; Song Y; Salim FD, 2024, 'Large Language Models for Next Point-of-Interest Recommendation', in SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1463 - 1472, http://dx.doi.org/10.1145/3626772.3657840

Van Den Hurk B; De Rijke M; Salim F, 2024, 'MANILA24: SIGIR 2024 Workshop on Information Retrieval and Climate Impact', in SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 3044 - 3046, http://dx.doi.org/10.1145/3626772.3657993

Small E; Sokol K; Manning D; Salim FD; Chan J, 2024, 'Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness', in 2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024, pp. 1559 - 1578, http://dx.doi.org/10.1145/3630106.3658989

Bañuelos JJ; Sigg S; He J; Salim F; Costa-Requena J, 2024, 'Generating Multivariate Synthetic Time Series Data for Absent Sensors from Correlated Sources', in NetAISys 2024 - Proceedings of the 2024 2nd International Workshop on Networked AI Systems, pp. 19 - 24, http://dx.doi.org/10.1145/3662004.3663553

Yang R; Salim FD; Xue H, 2024, 'SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding', in WWW 2024 - Proceedings of the ACM Web Conference, pp. 551 - 559, http://dx.doi.org/10.1145/3589334.3645441

Chen S; Naseem U; Razzak I; Salim F, 2024, 'Unveiling Misogyny Memes: A Multimodal Analysis of Modality Effects on Identification', in WWW 2024 Companion - Companion Proceedings of the ACM Web Conference, pp. 1864 - 1871, http://dx.doi.org/10.1145/3589335.3651974

Wang Y; Obie HO; Li Z; Salim FD; Grundy J; Mueller F, 2024, 'GustosonicSense: Towards understanding the design of playful gustosonic eating experiences', in Conference on Human Factors in Computing Systems - Proceedings, http://dx.doi.org/10.1145/3613904.3642182

Kegalle H; Hettiachchi D; Chan J; Salim F; Sanderson M, 2024, 'E-Scooter Dynamics: Unveiling Rider Behaviours and Interactions with Road Users through Multi-Modal Data Analysis', in ACM International Conference Proceeding Series, pp. 307 - 310, http://dx.doi.org/10.1145/3652920.3653056

Deldari S; Spathis D; Malekzadeh M; Kawsar F; Salim FD; Mathur A, 2024, 'CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking', in WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining, pp. 152 - 160, http://dx.doi.org/10.1145/3616855.3635795

Liu Y; Zhang Z; Qin S; Salim FD, 2024, 'A Multi-Graph Fusion Framework for Patient Representation Learning', in Proceedings - 2024 IEEE 12th International Conference on Healthcare Informatics, ICHI 2024, pp. 222 - 227, http://dx.doi.org/10.1109/ICHI61247.2024.00036

Zhu Z; Chen H; Zhang J; Wang X; Jin Z; Xue J; Salim FD, 2024, 'ATTEXPLORE: ATTRIBUTION FOR EXPLANATION WITH MODEL PARAMETERS EXPLORATION', in 12th International Conference on Learning Representations, ICLR 2024

Zhang Z; Liu Y; Bian J; Yepes AJ; Shen J; Li F; Long G; Salim FD, 2024, 'Boosting Patient Representation Learning via Graph Contrastive Learning', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 335 - 350, http://dx.doi.org/10.1007/978-3-031-70378-2_21

Liu Y; Zhang Z; Qin S; Salim FD; Bian J; Yepes AJ, 2024, 'Fine-grained Patient Similarity Measuring using Contrastive Graph Similarity Networks', in Proceedings - 2024 IEEE 12th International Conference on Healthcare Informatics, ICHI 2024, pp. 1 - 10, http://dx.doi.org/10.1109/ICHI61247.2024.00009

Liu Y; Zhang Z; Qin S; Salim FD; Yepes AJ; Shen J; Bianll J, 2024, 'Hypergraph Convolutional Networks for Fine-Grained lCU Patient Similarity Analysis and Risk Prediction', in Proceedings - 2024 IEEE 12th International Conference on Healthcare Informatics, ICHI 2024, pp. 123 - 128, http://dx.doi.org/10.1109/ICHI61247.2024.00023

Kang Y; Chan J; Shao W; Salim FD; Leckie C, 2024, 'Long-Term Fairness in Ride-Hailing Platform', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 223 - 239, http://dx.doi.org/10.1007/978-3-031-70378-2_14

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', in BuildSys 2023 - Proceedings of the10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, pp. 41 - 50, http://dx.doi.org/10.1145/3600100.3623726

Xue H; Salim FD, 2023, 'Utilizing Language Models for Energy Load Forecasting', in BuildSys 2023 - Proceedings of the10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, pp. 224 - 227, http://dx.doi.org/10.1145/3600100.3623730

Xue H; Salim FD, 2023, 'Artificial General Intelligence for Human Mobility (Vision Paper)', in GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems, http://dx.doi.org/10.1145/3589132.3625652

Jerónimo Bañuelos J; Costa-Requena J; He J; Salim F; Sigg S, 2023, 'An Application Programming Interface for Android to support dedicated 5G network slicing', in ACM International Conference Proceeding Series, pp. 193 - 196, http://dx.doi.org/10.1145/3627050.3630735

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', in International Conference on Information and Knowledge Management, Proceedings, pp. 751 - 761, http://dx.doi.org/10.1145/3583780.3614841

Ji K; Spina D; Hettiachchi D; Scholer F; Salim FD, 2023, 'Towards Detecting Tonic Information Processing Activities with Physiological Data', in UbiComp/ISWC 2023 Adjunct - Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2023 ACM International Symposium on Wearable Computing, pp. 1 - 5, http://dx.doi.org/10.1145/3594739.3610679

Khaokaew Y; Salim FD; Xue H, 2023, 'Understanding Mobile Information Needs and Behaviours', in UbiComp/ISWC 2023 Adjunct - Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2023 ACM International Symposium on Wearable Computing, pp. 210 - 214, http://dx.doi.org/10.1145/3594739.3610760

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', in SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1971 - 1975, http://dx.doi.org/10.1145/3539618.3591981

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', in ACM International Conference Proceeding Series, pp. 93 - 104, http://dx.doi.org/10.1145/3576842.3582362

Michahelles F; Boll S; Siek KA; Salim FD; Quigley AJ, 2023, 'The unwritten manual of becoming a professor of HCI', in Conference on Human Factors in Computing Systems - Proceedings, http://dx.doi.org/10.1145/3544549.3574192

Qin KK; Rahaman MS; Ren Y; Cheng CT; Cole I; Salim FD, 2023, 'A System of Monitoring and Analyzing Human Indoor Mobility and Air Quality', in Proceedings - IEEE International Conference on Mobile Data Management, pp. 89 - 95, http://dx.doi.org/10.1109/MDM58254.2023.00025

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', in Proceedings - IEEE International Conference on Mobile Data Management, pp. 255 - 264, http://dx.doi.org/10.1109/MDM58254.2023.00049

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', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 428 - 443, http://dx.doi.org/10.1007/978-3-031-43427-3_26

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', in IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 1111 - 1120, http://dx.doi.org/10.1109/CVPRW59228.2023.00118

Liu J; Deldari S; Xue H; Nguyen V; Salim FD, 2023, 'Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study', in Proceedings - IEEE International Conference on Mobile Data Management, pp. 39 - 44, http://dx.doi.org/10.1109/MDM58254.2023.00019

Xue H; Voutharoja BP; Salim FD, 2022, 'Leveraging language foundation models for human mobility forecasting', in GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems, http://dx.doi.org/10.1145/3557915.3561026

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', in Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, BCB 2022, http://dx.doi.org/10.1145/3535508.3545535

Xue H; Salim FD; Ren Y; Clarke CLA, 2022, 'Translating human mobility forecasting through natural language generation', in WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining, pp. 1224 - 1233, http://dx.doi.org/10.1145/3488560.3498387

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', in Proceedings of the International ISCRAM Conference, pp. 258 - 267

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', in Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, pp. 1658 - 1663, http://dx.doi.org/10.1109/BIBM55620.2022.9995048

Shao W; Jin Z; Wang S; Kang Y; Xiao X; Menouar H; Zhang Z; Zhang J; Salim F, 2022, 'Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention', in IJCAI International Joint Conference on Artificial Intelligence, pp. 2225 - 2232

Zhao S; Shao W; Chan J; Salim FD, 2022, 'Measuring disentangled generative spatio-temporal representation', in Proceedings of the 2022 SIAM International Conference on Data Mining, SDM 2022, pp. 522 - 530

Khaokaew Y; Rahaman MS; White RW; Salim FD, 2021, 'CoSEM: Contextual and Semantic Embedding for App Usage Prediction', in International Conference on Information and Knowledge Management, Proceedings, pp. 3137 - 3141, http://dx.doi.org/10.1145/3459637.3482076

Gao N; Saiedur Rahaman M; Shao W; Salim FD, 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

Xue H; Salim FD, 2021, 'Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification', in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1944 - 1952, http://dx.doi.org/10.1145/3447548.3467263

Rahaman MS; Shao W; Salim FD; Turky A; Song A; Chan J; Jiang J; Bradbrook D, 2021, 'MoParkeR : Multi-objective Parking Recommendation', in ACM International Conference Proceeding Series, pp. 237 - 242, http://dx.doi.org/10.1145/3468791.3468810

Li A; Guo J; Yang H; Salim FD; Chen Y, 2021, 'DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones', in IoTDI 2021 - Proceedings of the 2021 International Conference on Internet-of-Things Design and Implementation, pp. 28 - 39, http://dx.doi.org/10.1145/3450268.3453519

Salim FD, 2021, 'Learning Spatio-Temporal Behavioural Representations for Urban Activity Forecasting', in The Web Conference 2021 - Companion of the World Wide Web Conference, WWW 2021, pp. 347 - 348, http://dx.doi.org/10.1145/3442442.3451892

Deldari S; Smith DV; Xue H; Salim FD, 2021, 'Time series change point detection with self-supervised contrastive predictive coding', in The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021, pp. 3124 - 3135, http://dx.doi.org/10.1145/3442381.3449903

Shao W; Zhao S; Zhang Z; Wang S; Rahaman MS; Song A; Salim FD, 2021, 'FADACS: A Few-Shot Adversarial Domain Adaptation Architecture for Context-Aware Parking Availability Sensing', in 2021 IEEE International Conference on Pervasive Computing and Communications, PerCom 2021, http://dx.doi.org/10.1109/PERCOM50583.2021.9439123

Xue H; Salim FD; Ren Y; Oliver N, 2021, 'MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction', in Advances in Neural Information Processing Systems, pp. 30380 - 30391

Abushaqra FM; Xue H; Ren Y; Salim FD, 2021, 'PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series', in Proceedings - IEEE International Conference on Data Mining, ICDM, pp. 976 - 981, http://dx.doi.org/10.1109/ICDM51629.2021.00109

Xue H; Salim FD, 2021, 'TERMCast: Temporal Relation Modeling for Effective Urban Flow Forecasting', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 741 - 753, http://dx.doi.org/10.1007/978-3-030-75762-5_58

Ren H; Shao W; Li Y; Salim F; Gu M, 2021, 'Three-dimensional vectorial holography based on machine-learning inverse design', in International Conference on Metamaterials, Photonic Crystals and Plasmonics, pp. 390 - 391

Schwee JH; Sangogboye FC; Salim FD; Kjærgaard MB, 2020, 'Tool-chain for supporting Privacy Risk Assessments', in BuildSys 2020 - Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, pp. 140 - 149, http://dx.doi.org/10.1145/3408308.3427605

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