By Dr Hao Xue

Conference Papers

Prabowo A; Lin X; Razzak I; Xue H; Amos M; White SD; Salim FD, 2025, 'Brick-by-Brick: Cyber-Physical Building Data Classification Challenge', in Companion Proceedings of the ACM on Web Conference 2025, ACM, pp. 3021 - 3025, presented at WWW '25: The ACM Web Conference 2025, http://dx.doi.org/10.1145/3701716.3718483

Liang Y; Xue H; Jin M; Salim F; Wen Q; Li Y; Zimmermann R; Zheng Y, 2025, 'The International Workshop on Spatio-Temporal Data Mining from the Web', in Companion Proceedings of the ACM on Web Conference 2025, ACM, pp. 2327 - 2330, presented at WWW '25: The ACM Web Conference 2025, http://dx.doi.org/10.1145/3701716.3717374

Jin M; Jin W; Xue H; Salim F; Liang Y, 2025, 'Time Series Analysis in the Web: Recent Advances and Future Trends', in Companion Proceedings of the ACM on Web Conference 2025, ACM, pp. 29 - 32, presented at WWW '25: The ACM Web Conference 2025, http://dx.doi.org/10.1145/3701716.3715853

Ju C; Liu J; Sinha S; Xue H; Salim F, 2025, 'TrajLLM: A Modular LLM-Enhanced Agent-Based Framework for Realistic Human Trajectory Simulation', in Companion Proceedings of the ACM on Web Conference 2025, ACM, pp. 2847 - 2850, presented at WWW '25: The ACM Web Conference 2025, http://dx.doi.org/10.1145/3701716.3715201

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', in 32nd ACM Sigspatial International Conference on Advances in Geographic Information Systems ACM Sigspatial 2024, pp. 42 - 53, http://dx.doi.org/10.1145/3678717.3691216

Xue H; Tang T; Payani A; Salim FD, 2024, 'Prompt Mining for Language Models-based Mobility Flow Forecasting', in 32nd ACM Sigspatial International Conference on Advances in Geographic Information Systems ACM Sigspatial 2024, pp. 113 - 122, http://dx.doi.org/10.1145/3678717.3691232

Li L; Xue H; Song Y; Salim F, 2024, 'T-JEPA: A Joint-Embedding Predictive Architecture for Trajectory Similarity Computation', in 32nd ACM Sigspatial International Conference on Advances in Geographic Information Systems ACM Sigspatial 2024, pp. 569 - 572, http://dx.doi.org/10.1145/3678717.3691271

Khaokaew Y; Xue H; Rahaman MS; Salim FD, 2024, 'WorkR: Occupation Inference for Intelligent Task Assistance', in Iswc 2024 Proceedings of the 2024 ACM International Symposium on Wearable Computers, pp. 118 - 124, http://dx.doi.org/10.1145/3675095.3676622

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

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

Lin X; Prabowo A; Razzak I; Xue H; Amos M; Behrens S; Salim FD, 2024, 'BiTSA: Leveraging Time Series Foundation Model for Building Energy Analytics', in IEEE International Conference on Data Mining Workshops Icdmw, pp. 891 - 894, http://dx.doi.org/10.1109/ICDMW65004.2024.00122

Prabowo A; Lin X; Razzak I; Xue H; Yap EW; Amos M; Salim FD, 2024, 'BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics', in Advances in Neural Information Processing Systems

Tang T; Deldari S; Xue H; De Melo C; Salim F, 2024, 'ViLCo-Bench: VIdeo Language COntinual learning Benchmark', in Advances in Neural Information Processing Systems

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 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

Xue H; Huynh DQ; Reynolds M, 2017, 'Bi-Prediction: Pedestrian Trajectory Prediction Based on Bidirectional LSTM Classification', in Guo Y; Li H; Cai W; Murshed M; Wang Z; Gao J; Feng DD (eds.), 2017 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING - TECHNIQUES AND APPLICATIONS (DICTA), IEEE, AUSTRALIA, Sydney, pp. 307 - 314, presented at International Conference on Digital Image Computing - Techniques and Applications (DICTA), AUSTRALIA, Sydney, 29 November 2017 - 01 December 2017

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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