Dr Hao Xue

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Dr Hao Xue is a Lecturer at the School of Computer Science and Engineering, 91ɫ��Ƭ 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)),
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,

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,

Book Chapters | 2020

Xue H; Huynh DQ; Reynolds M, 2020, 'Take a NAP: Non-Autoregressive Prediction for Pedestrian Trajectories', in , pp. 544 - 556,

Book Chapters | 2019

Xue H; Huynh DQ; Reynolds M, 2019, 'Pedestrian Trajectory Prediction Using a Social Pyramid', in , pp. 439 - 453,

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,
Journal articles | 2026

Chen B; Wongso W; Li Z; Khaokaew Y; Xue H; Salim FD, 2026, 'COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity Recognition', Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 10, pp. 1 - 29,

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, 36, pp. 13691 - 13708,

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, 24, pp. 19 - 31,

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,

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,

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,

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,

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,

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,

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,

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,

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,

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,

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,

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,

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,

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,

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,

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,
Conference Papers | 2026

Chen B; Tag B; Xue H; Angus D; Salim F, 2026, 'When Ads Become Profiles: Uncovering the Invisible Risk of Web Advertising at Scale with LLMs', in Www 2026 Proceedings of the ACM Web Conference 2026, pp. 9604 - 9615,

Preprints | 2026

Chen B; Tag B; Xue H; Angus D; Salim F, 2026, When Ads Become Profiles: Uncovering the Invisible Risk of Web Advertising at Scale with LLMs,

Preprints | 2026

Dong H; Prabowo A; Xue H; Shuang A; Zhou T; Salim FD, 2026, Double-Diffusion: ODE-Prior Accelerated Diffusion Models for Spatio-Temporal Graph Forecasting,

Conference Papers | 2026

Du J; Stone H; Yang Y; Desai A; Xue H; Züfle A; Macintyre CR; Salim FD, 2026, 'Genomic-Informed Heterogeneous Graph Learning for Spatiotemporal Avian Influenza Outbreak Forecasting', in Www 2026 Proceedings of the ACM Web Conference 2026, pp. 9044 - 9055,

Preprints | 2026

Hua Y; Weatherhead S; Jafari M; Xue H; Salim FD, 2026, SOCIA-EVO: Automated Simulator Construction via Dual-Anchored Bi-Level Optimization,

Preprints | 2026

Jafari M; Xue H; Salim F, 2026, Mechanistic Indicators of Steering Effectiveness in Large Language Models,

Preprints | 2026

Li P; Ao S; Xue H; Song Y; de Rijke M; Barthélemy J; Bednarz T; Salim FD, 2026, Refine-POI: Reinforcement Fine-Tuned Large Language Models for Next Point-of-Interest Recommendation,

Preprints | 2026

Li X; Xue H; Wu P; Ma X; Zhang Z; Chen H; Salim FD, 2026, Perturbation Effects on Accuracy and Fairness among Similar Individuals,

Preprints | 2026

Li Z; Chen B; Xue H; Salim FD, 2026, ZARA: Training-Free Motion Time-Series Reasoning via Evidence-Grounded LLM Agents,

Preprints | 2026

Stone H; Du J; Yang Y; Desai A; Dawson R; Xue H; Heslop D; Scotch M; Züfle A; MacIntyre CR; Salim F, 2026, From Ecological Connectivity to Outbreak Risk: A Heterogeneous Graph Network for Epidemiological Reasoning under Sparse Spatiotemporal Data,

Preprints | 2026

Xie J; Hua Y; Cheng M; Salim F; Xue H, 2026, Causality-Inspired Safe Residual Correction for Multivariate Time Series,

Preprints | 2026

Yang R; Xue H; Razzak I; Hacid H; Salim FD, 2026, RELOOP: Recursive Retrieval with Multi-Hop Reasoner and Planners for Heterogeneous QA,

Conference Papers | 2026

Yang R; Xue H; Razzak I; Salim FD, 2026, 'Beyond Single Pass, Looping Through Time: KG-IRAG with Iterative Knowledge Retrieval', in Www 2026 Proceedings of the ACM Web Conference 2026, pp. 4460 - 4471,

Preprints | 2026

Yang Y; Yin D; Xue H; Salim F, 2026, DeepLévy: Learning Heavy-Tailed Uncertainty in Highly Volatile Time Series,

Preprints | 2025

Alselwi G; Xue H; Jameel S; Suleiman B; Salim FD; Razzak I, 2025, Long Context Modeling with Ranked Memory-Augmented Retrieval,

Preprints | 2025

Chen B; Wongso W; Li Z; Khaokaew Y; Xue H; Salim F, 2025, COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity Recognition,

Preprints | 2025

Chen S; Shao W; Salim FD; Xue H, 2025, ASTER: Adaptive Spatio-Temporal Early Decision Model for Dynamic Resource Allocation,

Preprints | 2025

Curran DJ; Hobeichi S; Saleem H; Xue H; Salim FD, 2025, Generate the Forest before the Trees -- A Hierarchical Diffusion model for Climate Downscaling,

Preprints | 2025

Divo F; Kraus M; Nguyen AQ; Xue H; Razzak I; Salim FD; Kersting K; Dhami DS, 2025, QuAnTS: Question Answering on Time Series,

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,

Preprints | 2025

Hua Y; Miao J; Jafari M; Xie J; Xue H; Salim FD, 2025, SOCIA: An End-to-End Agentic Framework for Automated Cyber-Physical-Social Simulator Generation,

Preprints | 2025

Hua Y; Qu L; Li Z; Xue H; Salim FD; Haffari G, 2025, RIDE: Enhancing Large Language Model Alignment through Restyled In-Context Learning Demonstration Exemplars,

Preprints | 2025

Hua Y; Weatherhead S; Jafari M; Xue H; Salim FD, 2025, SOCIA-Nabla: Textual Gradient Meets Multi-Agent Orchestration for Automated Simulator Generation,

Preprints | 2025

Huang R; Xue H; Pagnucco M; Salim F; Song Y, 2025, Vision-based Multi-future Trajectory Prediction: A Survey,

Preprints | 2025

Jafari M; Hua DY; Xue H; Salim F, 2025, Enhancing Conversational Agents with Theory of Mind: Aligning Beliefs, Desires, and Intentions for Human-Like Interaction,

Conference Papers | 2025

Jafari M; Hua Y; Xue H; Salim F, 2025, 'Beyond Words: Integrating Theory of Mind into Conversational Agents for Human-Like Belief, Desire, and Intention Alignment', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 5489 - 5508,

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 Www Companion 2025 Companion Proceedings of the ACM Web Conference 2025, pp. 29 - 32,

Conference Papers | 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', in Www Companion 2025 Companion Proceedings of the ACM Web Conference 2025, pp. 2847 - 2850,

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,

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

Kong R; Anderson T; Scotch M; Heslop DJ; Khaokaew Y; Xue H; Xiong L; Macintyre CR; Salim FD; Züfle A, 2025, 'Simulated Infectious Diseases Datasets with Controlled Data Bias', in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 5551 - 5559,

Preprints | 2025

Li L; Xue H; Ao S; Song Y; Salim F, 2025, HiT-JEPA: A Hierarchical Self-supervised Trajectory Embedding Framework for Similarity Computation,

Preprints | 2025

Li L; Yin D; Xue H; Lillo-Trynes D; Salim F, 2025, Optimizing Electric Vehicle Charging Station Locations: A Data-driven System with Multi-source Fusion,

Conference Papers | 2025

Li Z; Deldari S; Chen L; Xue H; Salim FD, 2025, 'SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition', in Emnlp 2025 2025 Conference on Empirical Methods in Natural Language Processing Proceedings of the Conference, pp. 354 - 379,

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 Www Companion 2025 Companion Proceedings of the ACM Web Conference 2025, pp. 2327 - 2330,

Preprints | 2025

Lin X; Prabowo A; Razzak I; Xue H; Amos M; Behrens S; Salim FD, 2025, Electric Vehicle Charging Load Modeling: A Survey, Trends, Challenges and Opportunities,

Preprints | 2025

Low M; Prabowo A; Xue H; Salim F, 2025, Embedding spatial context in urban traffic forecasting with contrastive pre-training,

Conference Papers | 2025

Luong J; Xue H; Salim FD, 2025, 'CoughViT: A Self-Supervised Vision Transformer for Cough Audio Representation Learning', in Proceedings International Symposium on Wearable Computers Iswc, pp. 45 - 52,

Preprints | 2025

Luong J; Xue H; Salim FD, 2025, CoughViT: A Self-Supervised Vision Transformer for Cough Audio Representation Learning,

Conference Papers | 2025

Pal S; Xue H; Gao N; Heinisch JS; Salim F; Zhang H, 2025, 'UbiSense 2025: First International Workshop on Emerging Techniques in Ubiquitous Sensing and Interaction', in Ubicomp Companion 2025 Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 1476 - 1478,

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 Www Companion 2025 Companion Proceedings of the ACM Web Conference 2025, pp. 3021 - 3025,

Conference Papers | 2025

Stone H; Du J; Xue H; Scotch M; Heslop D; Zufle A; Macintyre CR; Salim F, 2025, 'A Probabilistic Framework for Imputing Genetic Distances in Spatiotemporal Pathogen Models', in 33rd ACM Sigspatial International Conference on Advances in Geographic Information Systems ACM Sigspatial 2025, pp. 646 - 655,

Preprints | 2025

Stone H; Du J; Xue H; Scotch M; Heslop D; Züfle A; MacIntyre CR; Salim F, 2025, A Probabilistic Framework for Imputing Genetic Distances in Spatiotemporal Pathogen Models,

Preprints | 2025

Tan Y; Hu X; Xue H; De Melo C; Salim FD, 2025, Bisecle: Binding and Separation in Continual Learning for Video Language Understanding,

Preprints | 2025

Tian F; Salim FD; Xue H, 2025, TradingGroup: A Multi-Agent Trading System with Self-Reflection and Data-Synthesis,

Conference Papers | 2025

Wongso W; Xue H; Salim FD, 2025, 'GenUP: Generative User Profilers as In-Context Learners for Next POI Recommender Systems', in 33rd ACM Sigspatial International Conference on Advances in Geographic Information Systems ACM Sigspatial 2025, pp. 436 - 439,

Preprints | 2025

Wongso W; Xue H; Salim FD, 2025, Massive-STEPS: Massive Semantic Trajectories for Understanding POI Check-ins -- Dataset and Benchmarks,

Preprints | 2025

Yang R; Xue H; Razzak I; Hacid H; Salim FD, 2025, Beyond Single Pass, Looping Through Time: KG-IRAG with Iterative Knowledge Retrieval,

Preprints | 2025

Yang R; Xue H; Razzak I; Hacid H; Salim FD, 2025, Divide by Question, Conquer by Agent: SPLIT-RAG with Question-Driven Graph Partitioning,

Conference Papers | 2025

Yang Y; Yin D; Xue H; Salim F, 2025, 'STOAT: Spatial-Temporal Probabilistic Causal Inference Network', in 33rd ACM Sigspatial International Conference on Advances in Geographic Information Systems ACM Sigspatial 2025, pp. 499 - 510,

Preprints | 2025

Yang Y; Yin D; Xue H; Salim F, 2025, STOAT: Spatial-Temporal Probabilistic Causal Inference Network,

Conference Papers | 2025

Yin D; Xue H; Prabowo A; Ao S; Salim F, 2025, 'XXLTraffic: Expanding and Extremely Long Traffic Forecasting beyond Test Adaptation', in 33rd ACM Sigspatial International Conference on Advances in Geographic Information Systems ACM Sigspatial 2025, pp. 511 - 521,

Preprints | 2025

Yin D; Xue H; Prabowo A; Ao S; Salim F, 2025, XXLTraffic: Expanding and Extremely Long Traffic forecasting beyond test adaptation,

Preprints | 2024

Abushaqra FM; Xue H; Ren Y; Salim FD, 2024, ODEStream: A Buffer-Free Online Learning Framework with ODE-based Adaptor for Streaming Time Series Forecasting,

Conference Papers | 2024

Amos M; Lin X; Prabowo A; Razzak I; Salim F; Xue H; Yap E, 2024, 'Building Timeseries Dataset: Empowering Large-Scale Building Analytics', in Advances in Neural Information Processing Systems 37, Neural Information Processing Systems Foundation, Inc. (NeurIPS), pp. 133180 - 133206, presented at Advances in Neural Information Processing Systems 37, 10 December 2024 - 15 December 2024,

Preprints | 2024

Khaokaew Y; Ji K; Nguyen TH; Kegalle H; Alaofi M; Xue H; Salim FD, 2024, ZzzGPT: An Interactive GPT Approach to Enhance Sleep Quality,

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,

Preprints | 2024

Khaokaew Y; Xue H; Rahaman MS; Salim FD, 2024, WorkR: Occupation Inference for Intelligent Task Assistance,

Preprints | 2024

Khaokaew Y; Xue H; Salim FD, 2024, MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings,

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,

Preprints | 2024

Li L; Xue H; Song Y; Salim F, 2024, T-JEPA: A Joint-Embedding Predictive Architecture for Trajectory Similarity Computation,

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,

Preprints | 2024

Li P; Rijke MD; Xue H; Ao S; Song Y; Salim FD, 2024, Large Language Models for Next Point-of-Interest Recommendation,

Preprints | 2024

Li Z; Deldari S; Chen L; Xue H; Salim FD, 2024, SensorLLM: Human-Intuitive Alignment of Multivariate Sensor Data with LLMs for Activity Recognition,

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,

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,

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,

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,

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,

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

Tang T; Deldari S; Xue H; Melo CD; Salim FD, 2024, ViLCo-Bench: VIdeo Language COntinual learning Benchmark,

Preprints | 2024

Wongso W; Xue H; Salim FD, 2024, GenUP: Generative User Profilers as In-Context Learners for Next POI Recommender Systems,

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,

Preprints | 2024

Xue H; Tang T; Payani A; Salim FD, 2024, Prompt Mining for Language-based Human Mobility Forecasting,

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,

Preprints | 2024

Yang R; Salim FD; Xue H, 2024, SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding,

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,

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,

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,

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,

Preprints | 2023

Liu J; Deldari S; Xue H; Nguyen V; Salim FD, 2023, Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study,

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,

Preprints | 2023

Prabowo A; Chen K; Xue H; Sethuvenkatraman S; Salim FD, 2023, Continually learning out-of-distribution spatiotemporal data for robust energy forecasting,

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,

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,

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,

Preprints | 2023

Prabowo A; Xue H; Shao W; Koniusz P; Salim FD, 2023, Message Passing Neural Networks for Traffic Forecasting,

Preprints | 2023

Prabowo A; Xue H; Shao W; Koniusz P; Salim FD, 2023, Traffic Forecasting on New Roads Using Spatial Contrastive Pre-Training (SCPT),

Preprints | 2023

Snoswell AJ; Nelson L; Xue H; Salim FD; Suzor N; Burgess J, 2023, Measuring Misogyny in Natural Language Generation: Preliminary Results from a Case Study on two Reddit Communities,

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,

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,

Preprints | 2023

Xue H; Salim FD, 2023, Human Mobility Question Answering (Vision Paper),

Preprints | 2023

Xue H; Salim FD, 2023, Utilizing Language Models for Energy Load Forecasting,

Preprints | 2022

Abushaqra FM; Xue H; Ren Y; Salim FD, 2022, SeqLink: A Robust Neural-ODE Architecture for Modelling Partially Observed Time Series,

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,

Preprints | 2022

Deldari S; Xue H; Saeed A; Smith DV; Salim FD, 2022, COCOA: Cross Modality Contrastive Learning for Sensor Data,

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,

Preprints | 2022

Xue H; Salim FD, 2022, PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting,

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,

Preprints | 2022

Xue H; Voutharoja BP; Salim FD, 2022, Leveraging Language Foundation Models for Human Mobility Forecasting,

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,

Preprints | 2021

Abushaqra FM; Xue H; Ren Y; Salim FD, 2021, PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series,

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,

Preprints | 2021

Wang Z; Jiang R; Xue H; Salim FD; Song X; Shibasaki R, 2021, Event-Aware Multimodal Mobility Nowcasting,

Preprints | 2021

Xue H; Salim FD; Ren Y; Clarke CLA, 2021, Translating Human Mobility Forecasting through Natural Language Generation,

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,

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,

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,

Preprints | 2021

Xue H; Salim FD, 2021, Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification,

Preprints | 2020

Deldari S; Smith DV; Xue H; Salim FD, 2020, Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding,

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,

Preprints | 2020

Xue H; Huynh DQ; Reynolds M, 2020, Scene Gated Social Graph: Pedestrian Trajectory Prediction Based on Dynamic Social Graphs and Scene Constraints,

Preprints | 2020

Xue H; Huynh DQ; Reynolds M, 2020, Take a NAP: Non-Autoregressive Prediction for Pedestrian Trajectories,

Preprints | 2020

Xue H; Salim FD, 2020, TERMCast: Temporal Relation Modeling for Effective Urban Flow Forecasting,

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,

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,

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,

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,

Conference Papers | 2017

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

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,

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,

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