Xiaozhuang Song

Orcid: 0000-0002-7861-8957

According to our database1, Xiaozhuang Song authored at least 13 papers between 2020 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

On csauthors.net:

Bibliography

2024
GT-TTE: Modeling Trajectories as Graphs for Travel Time Estimation.
IEEE Internet Things J., October, 2024

Boosting Protein Language Models with Negative Sample Mining.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

PTaRL: Prototype-based Tabular Representation Learning via Space Calibration.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Traffic Prediction With Transfer Learning: A Mutual Information-Based Approach.
IEEE Trans. Intell. Transp. Syst., August, 2023

Traffic Prediction With Missing Data: A Multi-Task Learning Approach.
IEEE Trans. Intell. Transp. Syst., April, 2023

2022
Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Complicating the Social Networks for Better Storytelling: An Empirical Study of Chinese Historical Text and Novel.
IEEE Trans. Comput. Soc. Syst., 2021


Learn Travel Time Distribution with Graph Deep Learning and Generative Adversarial Network.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Transfer Learning in Traffic Prediction with Graph Neural Networks.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

TINet: Multi-dimensional Traffic Data Imputation via Transformer Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

TSTNet: A Sequence to Sequence Transformer Network for Spatial-Temporal Traffic Prediction.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
MultiMix: A Multi-Task Deep Learning Approach for Travel Mode Identification with Few GPS Data.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020


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