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Dr Hao Xue
Postdoctoral Fellow

Dr Hao Xue

Engineering
Computer Science and Engineering

Dr Hao Xue is a Research Fellow 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
  • 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, pp. 1 - 28, 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
  • 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/2210.08964v4
    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, ACM, presented at SIGSPATIAL '22: The 30th International Conference 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

DAAD AInet Fellowship 2022