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Dr Hao Xue

Dr Hao Xue

Postdoctoral Fellow
Engineering
Computer Science and Engineering

Dr Hao Xue is a Lecturer at the School of Computer Science and Engineering, UNSW Sydney. After obtaining his PhD from The University of Western Australia in 2020, he was a Research Fellow at the School of Computing Technologies, RMIT University (2020-2022). He was awarded the DAAD AInet Fellowship in 2022 and is a member of the Research Infrastructure Committee (Transport/Mobility Focus Area) at ADMS. His research interests include spatio-temporal data modelling, time series forecasting, and data-efficient time series representation learning. He has years of experience analysing human mobility behaviours and contributed to several research projects. He also serves as a program committee member for several esteemed conferences such as AAAI, CIKM, and NeurIPS. 
E-mail
hao.xue1@unsw.edu.au
  • Books | 2023
    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 | 2023
    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
    Book Chapters | 2023
    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
    Book Chapters | 2020
    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
    Book Chapters | 2019
    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
    Book Chapters | 2016
    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 | 2025
    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
    Journal articles | 2025
    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
    Journal articles | 2025
    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
    Journal articles | 2025
    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
    Journal articles | 2024
    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
    Journal articles | 2024
    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
    Journal articles | 2024
    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
    Journal articles | 2024
    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
    Journal articles | 2024
    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
    Journal articles | 2024
    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
    Journal articles | 2024
    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
    Journal articles | 2022
    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
    Journal articles | 2022
    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
    Journal articles | 2022
    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
    Journal articles | 2021
    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
    Journal articles | 2021
    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
    Journal articles | 2021
    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
    Journal articles | 2021
    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
    Journal articles | 2020
    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
    Journal articles | 2016
    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
  • Preprints | 2025
    Du J; Stone H; Yang Y; Desai A; Xue H; Züfle A; MacIntyre CR; Salim FD, 2025, BLUE: Bi-layer Heterogeneous Graph Fusion Network for Avian Influenza Forecasting, http://arxiv.org/abs/2505.22692v1
    Conference Papers | 2025
    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
    Preprints | 2025
    Ju C; Liu J; Sinha S; Xue H; Salim F, 2025, TrajLLM: A Modular LLM-Enhanced Agent-Based Framework for Realistic Human Trajectory Simulation, http://arxiv.org/abs/2502.18712v1
    Preprints | 2025
    Khaokaew Y; Salim FD; Züfle A; Xue H; Anderson T; MacIntyre CR; Scotch M; Heslop DJ, 2025, Evaluating the Bias in LLMs for Surveying Opinion and Decision Making in Healthcare
    Conference Papers | 2025
    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
    Conference Papers | 2025
    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
    Preprints | 2025
    Wongso W; Xue H; Salim FD, 2025, Massive-STEPS: Massive Semantic Trajectories for Understanding POI Check-ins -- Dataset and Benchmarks, http://arxiv.org/abs/2505.11239v2
    Conference Papers | 2024
    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
    Preprints | 2024
    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
    Conference Papers | 2024
    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
    Preprints | 2024
    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
    Conference Papers | 2024
    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
    Preprints | 2024
    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
    Conference Papers | 2024
    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
    Preprints | 2024
    Lin X; Prabowo A; Razzak I; Xue H; Amos M; Behrens S; Salim FD, 2024, A Gap in Time: The Challenge of Processing Heterogeneous IoT Data in Digitalized Buildings, http://dx.doi.org/10.48550/arxiv.2405.14267
    Preprints | 2024
    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, http://dx.doi.org/10.48550/arxiv.2412.14175
    Preprints | 2024
    Lin X; Prabowo A; Razzak I; Xue H; Amos M; Behrens S; Salim FD, 2024, Exploring Capabilities of Time Series Foundation Models in Building Analytics, http://dx.doi.org/10.48550/arxiv.2411.08888
    Conference Papers | 2024
    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
    Preprints | 2024
    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
    Conference Papers | 2024
    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
    Preprints | 2024
    Wongso W; Xue H; Salim FD, 2024, GenUP: Generative User Profilers as In-Context Learners for Next POI Recommender Systems, http://arxiv.org/abs/2410.20643v2
    Conference Papers | 2024
    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
    Preprints | 2024
    Xue H; Tang T; Payani A; Salim FD, 2024, Prompt Mining for Language-based Human Mobility Forecasting, http://arxiv.org/abs/2403.03544v1
    Conference Papers | 2024
    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
    Preprints | 2024
    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
    Conference Papers | 2024
    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
    Preprints | 2024
    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
    Preprints | 2023
    Huang R; Xue H; Pagnucco M; Salim F; Song Y, 2023, Vision-based Multi-future Trajectory Prediction: A Survey, http://dx.doi.org/10.48550/arxiv.2302.10463
    Conference Papers | 2023
    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
    Preprints | 2023
    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
    Conference Papers | 2023
    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
    Preprints | 2023
    Liu J; Deldari S; Xue H; Nguyen V; Salim FD, 2023, Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study, http://dx.doi.org/10.48550/arxiv.2305.00619
    Conference Papers | 2023
    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
    Preprints | 2023
    Prabowo A; Chen K; Xue H; Sethuvenkatraman S; Salim FD, 2023, Continually learning out-of-distribution spatiotemporal data for robust energy forecasting, http://dx.doi.org/10.1007/978-3-031-43430-3_1
    Preprints | 2023
    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
    Conference Papers | 2023
    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
    Preprints | 2023
    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, http://dx.doi.org/10.1145/3576842.3582362
    Preprints | 2023
    Prabowo A; Xue H; Shao W; Koniusz P; Salim FD, 2023, Message Passing Neural Networks for Traffic Forecasting, http://arxiv.org/abs/2305.05740v1
    Preprints | 2023
    Prabowo A; Xue H; Shao W; Koniusz P; Salim FD, 2023, Traffic Forecasting on New Roads Using Spatial Contrastive Pre-Training (SCPT), http://dx.doi.org/10.1007/s10618-023-00982-0
    Conference Papers | 2023
    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
    Conference Papers | 2023
    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
    Preprints | 2023
    Xue H; Salim FD, 2023, Human Mobility Question Answering (Vision Paper), http://arxiv.org/abs/2310.04443v2
    Preprints | 2023
    Xue H; Salim FD, 2023, Utilizing Language Models for Energy Load Forecasting, http://arxiv.org/abs/2310.17788v1
    Preprints | 2022
    Abushaqra FM; Xue H; Ren Y; Salim FD, 2022, SeqLink: A Robust Neural-ODE Architecture for Modelling Partially Observed Time Series, http://arxiv.org/abs/2212.03560v3
    Preprints | 2022
    Deldari S; Xue H; Saeed A; He J; Smith DV; Salim FD, 2022, Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data, http://arxiv.org/abs/2206.02353v2
    Preprints | 2022
    Deldari S; Xue H; Saeed A; Smith DV; Salim FD, 2022, COCOA: Cross Modality Contrastive Learning for Sensor Data, http://dx.doi.org/10.1145/3550316
    Conference Papers | 2022
    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
    Preprints | 2022
    Xue H; Salim FD, 2022, PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting, http://arxiv.org/abs/2210.08964v5
    Conference Papers | 2022
    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
    Preprints | 2022
    Xue H; Voutharoja BP; Salim FD, 2022, Leveraging Language Foundation Models for Human Mobility Forecasting, http://arxiv.org/abs/2209.05479v2
    Conference Papers | 2021
    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
    Preprints | 2021
    Abushaqra FM; Xue H; Ren Y; Salim FD, 2021, PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series, http://arxiv.org/abs/2110.00071v2
    Conference Papers | 2021
    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
    Preprints | 2021
    Wang Z; Jiang R; Xue H; Salim FD; Song X; Shibasaki R, 2021, Event-Aware Multimodal Mobility Nowcasting, http://arxiv.org/abs/2112.08443v1
    Preprints | 2021
    Xue H; Salim FD; Ren Y; Clarke CLA, 2021, Translating Human Mobility Forecasting through Natural Language Generation, http://arxiv.org/abs/2112.11481v1
    Conference Papers | 2021
    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
    Preprints | 2021
    Xue H; Salim FD; Ren Y; Oliver N, 2021, MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction, http://arxiv.org/abs/2110.01401v1
    Conference Papers | 2021
    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
    Conference Papers | 2021
    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
    Preprints | 2021
    Xue H; Salim FD, 2021, Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification, http://dx.doi.org/10.1145/3447548.3467263
    Preprints | 2020
    Deldari S; Smith DV; Xue H; Salim FD, 2020, Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding, http://dx.doi.org/10.1145/3442381.3449903
    Preprints | 2020
    Gao N; Xue H; Shao W; Zhao S; Qin KK; Prabowo A; Rahaman MS; Salim FD, 2020, Generative Adversarial Networks for Spatio-temporal Data: A Survey, http://dx.doi.org/10.1145/3474838
    Preprints | 2020
    Xue H; Huynh DQ; Reynolds M, 2020, Scene Gated Social Graph: Pedestrian Trajectory Prediction Based on Dynamic Social Graphs and Scene Constraints, , http://arxiv.org/abs/2010.05507v1
    Preprints | 2020
    Xue H; Huynh DQ; Reynolds M, 2020, Take a NAP: Non-Autoregressive Prediction for Pedestrian Trajectories, , http://arxiv.org/abs/2004.09760v1
    Preprints | 2020
    Xue H; Salim FD, 2020, TERMCast: Temporal Relation Modeling for Effective Urban Flow Forecasting, http://dx.doi.org/10.1007/978-3-030-75762-5_58
    Conference Papers | 2019
    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
    Conference Papers | 2019
    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
    Conference Papers | 2018
    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
    Conference Papers | 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
    Conference Papers | 2017
    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
    Conference Papers | 2016
    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

DAAD AInet Fellowship 2022