Huy Quang Ung

Orcid: 0000-0001-9238-8601

According to our database1, Huy Quang Ung authored at least 9 papers between 2022 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
CartoMapQA: A Fundamental Benchmark Dataset Evaluating Vision-Language Models on Cartographic Map Understanding.
Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

2024
xMTrans: Temporal Attentive Cross-Modality Fusion Transformer for Long-Term Traffic Prediction.
Proceedings of the 25th IEEE International Conference on Mobile Data Management, 2024

Mixture of Projection Experts for Multivariate Long-Term Time Series Forecasting.
Proceedings of the International Conference on Machine Learning and Applications, 2024

2023
Towards Multimodal Spatio-Temporal Transformer-based Models for Traffic Congestion Prediction.
Proceedings of the 4th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval, 2023

A Classical Machine Learning Method for Locomotion and Transportation Recognition using both Motion and Location Data.
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

Leverage Samples with Single Positive Labels to Train CNN-based Models For Multi-label Plant Species Prediction.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Fostering Innovation in Urban Transportation Risk Management: A Multi-Sector Collaborative Benchmarking Platform.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Source Domain Selection for Cross-House Human Activity Recognition with Ambient Sensors.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

CheckHARD: Checking Hard Labels for Adversarial Text Detection, Prediction Correction, and Perturbed Word Suggestion.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022


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