Hao Xue

Orcid: 0000-0003-1700-9215

Affiliations:
  • RMIT University, School of Computing Technologies, Melbourne, Australia
  • University of Western Australia, Department of Computer Science and Software Engineering, Perth, WA, Australia (former)
  • Harbin Institute of Technology, Communication Research Centre, China (former)


According to our database1, Hao Xue authored at least 40 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2024

SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding.
CoRR, 2024

2023
Measuring Misogyny in Natural Language Generation: Preliminary Results from a Case Study on two Reddit Communities.
CoRR, 2023

Human Mobility Question Answering (Vision Paper).
CoRR, 2023

Message Passing Neural Networks for Traffic Forecasting.
CoRR, 2023

Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training.
CoRR, 2023

Multimodal Trajectory Prediction: A Survey.
CoRR, 2023

Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Utilizing Language Models for Energy Load Forecasting.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Continually Learning Out-of-Distribution Spatiotemporal Data for Robust Energy Forecasting.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study.
Proceedings of the 24th IEEE International Conference on Mobile Data Management, 2023

Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting.
Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation, 2023

Understanding Mobile Information Needs and Behaviours.
Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

Artificial General Intelligence for Human Mobility (Vision Paper).
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

2022
Generative Adversarial Networks for Spatio-temporal Data: A Survey.
ACM Trans. Intell. Syst. Technol., 2022

COCOA: Cross Modality Contrastive Learning for Sensor Data.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

CrossPyramid: Neural Ordinary Differential Equations Architecture for Partially-observed Time-series.
CoRR, 2022

Prompt-Based Time Series Forecasting: A New Task and Dataset.
CoRR, 2022

Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data.
CoRR, 2022

Translating Human Mobility Forecasting through Natural Language Generation.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Leveraging language foundation models for human mobility forecasting.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Event-Aware Multimodal Mobility Nowcasting.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
PoPPL: Pedestrian Trajectory Prediction by LSTM With Automatic Route Class Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2021

Atrous convolutional feature network for weakly supervised semantic segmentation.
Neurocomputing, 2021

Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding.
Proceedings of the WWW '21: The Web Conference 2021, 2021

TERMCast: Temporal Relation Modeling for Effective Urban Flow Forecasting.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
TRAILER: Transformer-based Time-wise Long Term Relation Modeling for Citywide Traffic Flow Prediction.
CoRR, 2020

Scene Gated Social Graph: Pedestrian Trajectory Prediction Based on Dynamic Social Graphs and Scene Constraints.
CoRR, 2020

A Location-Velocity-Temporal Attention LSTM Model for Pedestrian Trajectory Prediction.
IEEE Access, 2020

Take a NAP: Non-Autoregressive Prediction for Pedestrian Trajectories.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Location-Velocity Attention for Pedestrian Trajectory Prediction.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Pedestrian Tracking and Stereo Matching of Tracklets for Autonomous Vehicles.
Proceedings of the 89th IEEE Vehicular Technology Conference, 2019

Pedestrian Trajectory Prediction Using a Social Pyramid.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

2018
SS-LSTM: A Hierarchical LSTM Model for Pedestrian Trajectory Prediction.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017
A Fast C-GIST Based Image Retrieval Method for Vision-Based Indoor Localization.
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

Bi-Prediction: Pedestrian Trajectory Prediction Based on Bidirectional LSTM Classification.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

2016
A fast visual map building method using video stream for visual-based indoor localization.
Proceedings of the 2016 International Wireless Communications and Mobile Computing Conference (IWCMC), 2016


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