By Dr Hao Xue

Books

Prabowo A; Chen K; Xue H; Sethuvenkatraman S; Salim FD, 2023, Correction to: Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track (LNAI 14175 (10.1007/978-3-031-43430-3_1)), http://dx.doi.org/10.1007/978-3-031-43430-3_34

Book Chapters

Prabowo A; Chen K; Xue H; Sethuvenkatraman S; Salim FD, 2023, 'Continually Learning Out-of-Distribution Spatiotemporal Data for Robust Energy Forecasting', in , pp. 3 - 19, http://dx.doi.org/10.1007/978-3-031-43430-3_1

Prabowo A; Chen K; Xue H; Sethuvenkatraman S; Salim FD, 2023, 'Correction to: Continually Learning Out-of-Distribution Spatiotemporal Data for Robust Energy Forecasting', in Lecture Notes in Computer Science, Springer Nature Switzerland, pp. C1 - C2, http://dx.doi.org/10.1007/978-3-031-43430-3_34

Xue H; Huynh DQ; Reynolds M, 2020, 'Take a NAP: Non-Autoregressive Prediction for Pedestrian Trajectories', in , pp. 544 - 556, http://dx.doi.org/10.1007/978-3-030-63830-6_46

Xue H; Huynh DQ; Reynolds M, 2019, 'Pedestrian Trajectory Prediction Using a Social Pyramid', in , pp. 439 - 453, http://dx.doi.org/10.1007/978-3-030-29911-8_34

Sun P; Tian R; Xue H; Wan K, 2016, 'Development and analysis of police digital trunking channel technology of PDT', in , pp. 189 - 199, http://dx.doi.org/10.1007/978-81-322-2580-5_19

Journal articles

Lin X; Prabowo A; Razzak I; Xue H; Amos M; Behrens S; Salim FD, 2025, 'A Gap in Time: The Challenge of Processing Heterogeneous IoT Data in Digitalized Buildings', IEEE Pervasive Computing, http://dx.doi.org/10.1109/MPRV.2025.3542061

Abushaqra FM; Xue H; Ren Y; Salim FD, 2025, 'ODEStream: A Buffer-Free Online Learning Framework with ODE-based Adaptor for Streaming Time Series Forecasting', Transactions on Machine Learning Research, 2025-March

Xue H; Jin M; Pan S; Salim F; Pang G, 2025, 'Transforming Urban Dynamics: Harnessing Large Language Models for Smarter Mobility', IEEE Intelligent Systems, 40, pp. 5 - 7, http://dx.doi.org/10.1109/MIS.2025.3544937

Huang R; Xue H; Pagnucco M; Salim FD; Song Y, 2025, 'Vision-Based Multi-Future Trajectory Prediction: A Survey', IEEE Transactions on Neural Networks and Learning Systems, http://dx.doi.org/10.1109/TNNLS.2025.3550350

Wang Z; Jiang R; Xue H; Salim FD; Song X; Shibasaki R; Hu W; Wang S, 2024, 'Learning spatio-temporal dynamics on mobility networks for adaptation to open-world events', Artificial Intelligence, 335, http://dx.doi.org/10.1016/j.artint.2024.104120

Züfle A; Salim F; Anderson T; Scotch M; Xiong L; Sokol K; Xue H; Kong R; Heslop D; Paik HY; Macintyre CR, 2024, 'Leveraging Simulation Data to Understand Bias in Predictive Models of Infectious Disease Spread', ACM Transactions on Spatial Algorithms and Systems, 10, http://dx.doi.org/10.1145/3660631

Prabowo A; Xue H; Shao W; Koniusz P; Salim FD, 2024, 'Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)', Data Mining and Knowledge Discovery, 38, pp. 913 - 937, http://dx.doi.org/10.1007/s10618-023-00982-0

Si Y; Xue H; Liao H; Xie Y; Xu DR; Kumi Smith M; Yip W; Cheng W; Tian J; Tang W; Sylvia S, 2024, 'The quality of telemedicine consultations for sexually transmitted infections in China', Health Policy and Planning, 39, pp. 307 - 317, http://dx.doi.org/10.1093/heapol/czad119

Khaokaew Y; Xue H; Salim FD, 2024, 'MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings', Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, 8, http://dx.doi.org/10.1145/3643514

Xue H; Salim FD, 2024, 'PromptCast: A New Prompt-Based Learning Paradigm for Time Series Forecasting', IEEE Transactions on Knowledge and Data Engineering, 36, pp. 6851 - 6864, http://dx.doi.org/10.1109/TKDE.2023.3342137

M.abushaqra F; Xue H; Ren Y; D.salim F, 2024, 'SeqLink: A Robust Neural-ODE Architecture for Modelling Partially Observed Time Series', Transactions on Machine Learning Research, 2024

Deldari S; Xue H; Saeed A; Smith DV; Salim FD, 2022, 'COCOA: Cross Modality Contrastive Learning for Sensor Data', Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, 6, http://dx.doi.org/10.1145/3550316

Wang Z; Jiang R; Xue H; Salim FD; Song X; Shibasaki R, 2022, 'Event-Aware Multimodal Mobility Nowcasting', Proceedings of the 36th Aaai Conference on Artificial Intelligence Aaai 2022, 36, pp. 4228 - 4236, http://dx.doi.org/10.1609/aaai.v36i4.20342

Gao N; Xue H; Shao W; Zhao S; Qin KK; Prabowo A; Rahaman MS; Salim FD, 2022, 'Generative Adversarial Networks for Spatio-temporal Data: A Survey', ACM Transactions on Intelligent Systems and Technology, 13, http://dx.doi.org/10.1145/3474838

Dong B; Liu Y; Fontenot H; Ouf M; Osman M; Chong A; Qin S; Salim F; Xue H; Yan D; Jin Y; Han M; Zhang X; Azar E; Carlucci S, 2021, 'Occupant behavior modeling methods for resilient building design, operation and policy at urban scale: A review', Applied Energy, 293, http://dx.doi.org/10.1016/j.apenergy.2021.116856

Xu L; Xue H; Bennamoun M; Boussaid F; Sohel F, 2021, 'Atrous convolutional feature network for weakly supervised semantic segmentation', Neurocomputing, 421, pp. 115 - 126, http://dx.doi.org/10.1016/j.neucom.2020.09.045

Xue H; Huynh DQ; Reynolds M, 2021, 'PoPPL: Pedestrian Trajectory Prediction by LSTM with Automatic Route Class Clustering', IEEE Transactions on Neural Networks and Learning Systems, 32, pp. 77 - 90, http://dx.doi.org/10.1109/TNNLS.2020.2975837

Yang X; Yu X; Xie L; Xue H; Zhou M; Jiang Q, 2021, 'Sleep Apnea Monitoring System Based on Commodity WiFi Devices', Computers Materials and Continua, 69, pp. 2793 - 2806, http://dx.doi.org/10.32604/cmc.2021.016298

Xue H; Huynh DQ; Reynolds M, 2020, 'A Location-Velocity-Temporal Attention LSTM Model for Pedestrian Trajectory Prediction', IEEE Access, 8, pp. 44576 - 44589, http://dx.doi.org/10.1109/ACCESS.2020.2977747

Feng G; Ma L; Tan X; Xue H; Guan K, 2016, 'Visual Location Recognition Based on Coarse-to-Fine Image Retrieval and Epipolar Geometry Constraint for Urban Environment', International Journal of Signal Processing, Image Processing and Pattern Recognition, 9, pp. 25 - 36, http://dx.doi.org/10.14257/ijsip.2016.9.11.03

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

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