Hao Xue

IEEE Trans. Knowl. Data Eng., November, 2024

Leveraging Simulation Data to Understand Bias in Predictive Models of Infectious Disease Spread.

[BibT_eX]

[DOI]

ACM Trans. Spatial Algorithms Syst., June, 2024

Traffic forecasting on new roads using spatial contrastive pre-training (SCPT).

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., May, 2024

MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings.

[BibT_eX]

[DOI]

Yonchanok Khaokaew

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2024

SeqLink: A Robust Neural-ODE Architecture for Modelling Partially Observed Time Series.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

GenUP: Generative User Profilers as In-Context Learners for Next POI Recommender Systems.

[BibT_eX]

[DOI]

Wilson Wongso

CoRR, 2024

SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition.

[BibT_eX]

[DOI]

CoRR, 2024

ViLCo-Bench: VIdeo Language COntinual learning Benchmark.

[BibT_eX]

[DOI]

CoRR, 2024

XXLTraffic: Expanding and Extremely Long Traffic Dataset for Ultra-Dynamic Forecasting Challenges.

[BibT_eX]

[DOI]

CoRR, 2024

BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics.

[BibT_eX]

[DOI]

CoRR, 2024

A Gap in Time: The Challenge of Processing Heterogeneous IoT Point Data in Buildings.

[BibT_eX]

[DOI]

CoRR, 2024

Prompt Mining for Language-based Human Mobility Forecasting.

[BibT_eX]

[DOI]

CoRR, 2024

Learning spatio-temporal dynamics on mobility networks for adaptation to open-world events.

[BibT_eX]

[DOI]

Artif. Intell., 2024

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

[BibT_eX]

[DOI]

Ruiyi Yang

Proceedings of the ACM on Web Conference 2024, 2024

Large Language Models for Next Point-of-Interest Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

WorkR: Occupation Inference for Intelligent Task Assistance.

[BibT_eX]

[DOI]

Yonchanok Khaokaew

Mohammad Saiedur Rahaman

Proceedings of the 2024 ACM International Symposium on Wearable Computers, 2024

Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

T-JEPA: A Joint-Embedding Predictive Architecture for Trajectory Similarity Computation.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

Prompt Mining for Language Models-based Mobility Flow Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Human Mobility Question Answering (Vision Paper).

[BibT_eX]

[DOI]

CoRR, 2023

Message Passing Neural Networks for Traffic Forecasting.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Multimodal Trajectory Prediction: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning.

[BibT_eX]

[DOI]

Arian Prabowo

Kaixuan Chen

Subbu Sethuvenkatraman

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Utilizing Language Models for Energy Load Forecasting.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Arian Prabowo

Kaixuan Chen

Subbu Sethuvenkatraman

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation, 2023

Understanding Mobile Information Needs and Behaviours.

[BibT_eX]

[DOI]

Yonchanok Khaokaew

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).

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

2022

Generative Adversarial Networks for Spatio-temporal Data: A Survey.

[BibT_eX]

[DOI]

Mohammad Saiedur Rahaman

ACM Trans. Intell. Syst. Technol., 2022

COCOA: Cross Modality Contrastive Learning for Sensor Data.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Translating Human Mobility Forecasting through Natural Language Generation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Bhanu Prakash Voutharoja

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Event-Aware Multimodal Mobility Nowcasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

PoPPL: Pedestrian Trajectory Prediction by LSTM With Automatic Route Class Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Atrous convolutional feature network for weakly supervised semantic segmentation.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

TERMCast: Temporal Relation Modeling for Effective Urban Flow Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

A Location-Velocity-Temporal Attention LSTM Model for Pedestrian Trajectory Prediction.

[BibT_eX]

[DOI]

IEEE Access, 2020

Take a NAP: Non-Autoregressive Prediction for Pedestrian Trajectories.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

Location-Velocity Attention for Pedestrian Trajectory Prediction.

[BibT_eX]

[DOI]

Du Huynh

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Pedestrian Tracking and Stereo Matching of Tracklets for Autonomous Vehicles.

[BibT_eX]

[DOI]

Proceedings of the 89th IEEE Vehicular Technology Conference, 2019

Pedestrian Trajectory Prediction Using a Social Pyramid.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

2018

SS-LSTM: A Hierarchical LSTM Model for Pedestrian Trajectory Prediction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

Bi-Prediction: Pedestrian Trajectory Prediction Based on Bidirectional LSTM Classification.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]