By Dr Hao Xue

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 Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, presented at SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, http://dx.doi.org/10.1145/3626772.3657840

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

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

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

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

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

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

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

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

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

Xue H; Huynh DQ; Reynolds M, 2019, 'Pedestrian tracking and stereo matching of tracklets for autonomous vehicles', in IEEE Vehicular Technology Conference, http://dx.doi.org/10.1109/VTCSpring.2019.8746329

Xue H; Huynh DQ; Reynolds M, 2019, 'Location-velocity attention for pedestrian trajectory prediction', in Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019, pp. 2038 - 2047, http://dx.doi.org/10.1109/WACV.2019.00221

Xue H; Huynh DQ; Reynolds M, 2018, 'SS-LSTM: A Hierarchical LSTM Model for Pedestrian Trajectory Prediction', in Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018, pp. 1186 - 1194, http://dx.doi.org/10.1109/WACV.2018.00135

Xue H; Huynh DQ; Reynolds M, 2017, 'Bi-prediction: Pedestrian trajectory prediction based on bidirectional LSTM classification', in DICTA 2017 - 2017 International Conference on Digital Image Computing: Techniques and Applications, pp. 1 - 8, http://dx.doi.org/10.1109/DICTA.2017.8227412

Ma L; Xue H; Jia T; Tan X, 2017, 'A Fast C-GIST Based Image Retrieval Method for Vision-Based Indoor Localization', in IEEE Vehicular Technology Conference, http://dx.doi.org/10.1109/VTCSpring.2017.8108338

Xue H; Ma L; Tan X, 2016, 'A fast visual map building method using video stream for visual-based indoor localization', in 2016 International Wireless Communications and Mobile Computing Conference, IWCMC 2016, pp. 650 - 654, http://dx.doi.org/10.1109/IWCMC.2016.7577133

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