Hao Xue

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 69

Top Topics

Change Point Detection

Indoor Localization

Top Venues

BuildSys@SenSys

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

Publications

Andreas Züfle, Flora D. Salim, Taylor Anderson, Matthew Scotch, Li Xiong, Kacper Sokol, Hao Xue, Ruochen Kong, David J. Heslop, Hye-Young Paik, C. Raina MacIntyre
Leveraging Simulation Data to Understand Bias in Predictive Models of Infectious Disease Spread. ACM Trans. Spatial Algorithms Syst. 10 (2) (2024)
Hao Xue, Tianye Tang, Ali Payani, Flora D. Salim
Prompt Mining for Language-based Human Mobility Forecasting. CoRR (2024)
Du Yin, Jinliang Deng, Shuang Ao, Zechen Li, Hao Xue, Arian Prabowo, Renhe Jiang, Xuan Song, Flora Salim
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned. CoRR (2024)
Lihuan Li, Hao Xue, Yang Song, Flora D. Salim
T-JEPA: A Joint-Embedding Predictive Architecture for Trajectory Similarity Computation. CoRR (2024)
Peibo Li, Maarten de Rijke, Hao Xue, Shuang Ao, Yang Song, Flora D. Salim
Large Language Models for Next Point-of-Interest Recommendation. CoRR (2024)
Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Stephen White, Flora D. Salim
A Gap in Time: The Challenge of Processing Heterogeneous IoT Point Data in Buildings. CoRR (2024)
Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim
SeqLink: A Robust Neural-ODE Architecture for Modelling Partially Observed Time Series. Trans. Mach. Learn. Res. 2024 (2024)
Arian Prabowo, Xiachong Lin, Imran Razzak, Hao Xue, Emily W. Yap, Matthew Amos, Flora D. Salim
BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics. CoRR (2024)
Yonchanok Khaokaew, Hao Xue, Flora D. Salim
MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8 (1) (2024)
Arian Prabowo, Hao Xue, Wei Shao, Piotr Koniusz, Flora D. Salim
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT). Data Min. Knowl. Discov. 38 (3) (2024)
Ruiyi Yang, Flora D. Salim, Hao Xue
SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding. WWW (2024)
Ruiyi Yang, Flora D. Salim, Hao Xue
SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding. CoRR (2024)
Yonchanok Khaokaew, Hao Xue, Mohammad Saiedur Rahaman, Flora D. Salim
WorkR: Occupation Inference for Intelligent Task Assistance. CoRR (2024)
Peibo Li, Maarten de Rijke, Hao Xue, Shuang Ao, Yang Song, Flora D. Salim
Large Language Models for Next Point-of-Interest Recommendation. SIGIR (2024)
Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki, Wei Hu, Shaowen Wang
Learning spatio-temporal dynamics on mobility networks for adaptation to open-world events. Artif. Intell. 335 (2024)
Du Yin, Hao Xue, Arian Prabowo, Shuang Ao, Flora Salim
XXLTraffic: Expanding and Extremely Long Traffic Dataset for Ultra-Dynamic Forecasting Challenges. CoRR (2024)
Jason Liu, Shohreh Deldari, Hao Xue, Van Nguyen, Flora D. Salim
Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study. CoRR (2023)
Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim
Continually learning out-of-distribution spatiotemporal data for robust energy forecasting. CoRR (2023)
Hao Xue, Flora D. Salim
Utilizing Language Models for Energy Load Forecasting. BuildSys@SenSys (2023)
Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning. BuildSys@SenSys (2023)
Jason Liu, Shohreh Deldari, Hao Xue, Van Nguyen, Flora D. Salim
Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study. MDM (2023)
Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim
Continually Learning Out-of-Distribution Spatiotemporal Data for Robust Energy Forecasting. ECML/PKDD (7) (2023)
Arian Prabowo, Hao Xue, Wei Shao, Piotr Koniusz, Flora D. Salim
Message Passing Neural Networks for Traffic Forecasting. CoRR (2023)
Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting. IoTDI (2023)
Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning. CoRR (2023)
Hao Xue, Flora D. Salim
Artificial General Intelligence for Human Mobility (Vision Paper). SIGSPATIAL/GIS (2023)
Hao Xue, Flora D. Salim
Utilizing Language Models for Energy Load Forecasting. CoRR (2023)
Aaron J. Snoswell, Lucinda Nelson, Hao Xue, Flora D. Salim, Nicolas Suzor, Jean Burgess
Measuring Misogyny in Natural Language Generation: Preliminary Results from a Case Study on two Reddit Communities. CoRR (2023)
Yonchanok Khaokaew, Hao Xue, Flora D. Salim
MAPLE: Mobile App Prediction Leveraging Large Language model Embeddings. CoRR (2023)
Yonchanok Khaokaew, Flora D. Salim, Hao Xue
Understanding Mobile Information Needs and Behaviours. UbiComp/ISWC Adjunct (2023)
Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting. CoRR (2023)
Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim
Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training. CoRR (2023)
Hao Xue, Flora D. Salim
Human Mobility Question Answering (Vision Paper). CoRR (2023)
Shohreh Deldari, Hao Xue, Aaqib Saeed, Jiayuan He, Daniel V. Smith, Flora D. Salim
Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data. CoRR (2022)
Shohreh Deldari, Hao Xue, Aaqib Saeed, Daniel V. Smith, Flora D. Salim
COCOA: Cross Modality Contrastive Learning for Sensor Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6 (3) (2022)
Nan Gao, Hao Xue, Wei Shao, Sichen Zhao, Kyle Kai Qin, Arian Prabowo, Mohammad Saiedur Rahaman, Flora D. Salim
Generative Adversarial Networks for Spatio-temporal Data: A Survey. ACM Trans. Intell. Syst. Technol. 13 (2) (2022)
Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim
CrossPyramid: Neural Ordinary Differential Equations Architecture for Partially-observed Time-series. CoRR (2022)
Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki
Event-Aware Multimodal Mobility Nowcasting. AAAI (2022)
Hao Xue, Bhanu Prakash Voutharoja, Flora D. Salim
Leveraging Language Foundation Models for Human Mobility Forecasting. CoRR (2022)
Shohreh Deldari, Hao Xue, Aaqib Saeed, Daniel V. Smith, Flora D. Salim
COCOA: Cross Modality Contrastive Learning for Sensor Data. CoRR (2022)
Hao Xue, Flora D. Salim
Prompt-Based Time Series Forecasting: A New Task and Dataset. CoRR (2022)
Hao Xue, Bhanu Prakash Voutharoja, Flora D. Salim
Leveraging language foundation models for human mobility forecasting. SIGSPATIAL/GIS (2022)
Hao Xue, Flora D. Salim, Yongli Ren, Charles L. A. Clarke
Translating Human Mobility Forecasting through Natural Language Generation. WSDM (2022)
Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim
PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series. CoRR (2021)
Shohreh Deldari, Daniel V. Smith, Hao Xue, Flora D. Salim
Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding. WWW (2021)
Lian Xu, Hao Xue, Mohammed Bennamoun, Farid Boussaïd, Ferdous Sohel
Atrous convolutional feature network for weakly supervised semantic segmentation. Neurocomputing 421 (2021)
Hao Xue, Flora D. Salim
TERMCast: Temporal Relation Modeling for Effective Urban Flow Forecasting. PAKDD (1) (2021)
Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim
PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series. ICDM (2021)
Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki
Event-Aware Multimodal Mobility Nowcasting. CoRR (2021)
Hao Xue, Flora D. Salim, Yongli Ren, Nuria Oliver
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction. CoRR (2021)
Hao Xue, Flora D. Salim
Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification. KDD (2021)
Hao Xue, Flora D. Salim, Yongli Ren, Charles L. A. Clarke
Translating Human Mobility Forecasting through Natural Language Generation. CoRR (2021)
Hao Xue, Du Q. Huynh, Mark Reynolds
PoPPL: Pedestrian Trajectory Prediction by LSTM With Automatic Route Class Clustering. IEEE Trans. Neural Networks Learn. Syst. 32 (1) (2021)
Hao Xue, Flora D. Salim, Yongli Ren, Nuria Oliver
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction. NeurIPS (2021)
Hao Xue, Flora D. Salim
Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification. CoRR (2021)
Hao Xue, Du Q. Huynh, Mark Reynolds
Scene Gated Social Graph: Pedestrian Trajectory Prediction Based on Dynamic Social Graphs and Scene Constraints. CoRR (2020)
Hao Xue, Du Q. Huynh, Mark Reynolds
A Location-Velocity-Temporal Attention LSTM Model for Pedestrian Trajectory Prediction. IEEE Access 8 (2020)
Hao Xue, Du Q. Huynh, Mark Reynolds
Take a NAP: Non-Autoregressive Prediction for Pedestrian Trajectories. ICONIP (1) (2020)
Shohreh Deldari, Daniel V. Smith, Hao Xue, Flora D. Salim
Time-series Change Point Detection with Self-Supervised Contrastive Predictive Coding. CoRR (2020)
Hao Xue, Flora D. Salim
TRAILER: Transformer-based Time-wise Long Term Relation Modeling for Citywide Traffic Flow Prediction. CoRR (2020)
Hao Xue, Du Q. Huynh, Mark Reynolds
Take a NAP: Non-Autoregressive Prediction for Pedestrian Trajectories. CoRR (2020)
Nan Gao, Hao Xue, Wei Shao, Sichen Zhao, Kyle Kai Qin, Arian Prabowo, Mohammad Saiedur Rahaman, Flora D. Salim
Generative Adversarial Networks for Spatio-temporal Data: A Survey. CoRR (2020)
Hao Xue, Du Q. Huynh, Mark Reynolds
Pedestrian Tracking and Stereo Matching of Tracklets for Autonomous Vehicles. VTC Spring (2019)
Hao Xue, Du Huynh, Mark Reynolds
Location-Velocity Attention for Pedestrian Trajectory Prediction. WACV (2019)
Hao Xue, Du Q. Huynh, Mark Reynolds
Pedestrian Trajectory Prediction Using a Social Pyramid. PRICAI (2) (2019)
Hao Xue, Du Q. Huynh, Mark Reynolds
SS-LSTM: A Hierarchical LSTM Model for Pedestrian Trajectory Prediction. WACV (2018)
Hao Xue, Du Q. Huynh, Mark Reynolds
Bi-Prediction: Pedestrian Trajectory Prediction Based on Bidirectional LSTM Classification. DICTA (2017)
Lin Ma, Hao Xue, Tong Jia, Xuezhi Tan
A Fast C-GIST Based Image Retrieval Method for Vision-Based Indoor Localization. VTC Spring (2017)
Hao Xue, Lin Ma, Xuezhi Tan
A fast visual map building method using video stream for visual-based indoor localization. IWCMC (2016)