Xiaozhuang Song

According to our database, Xiaozhuang Song authored at least 10 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Traffic Prediction With Transfer Learning: A Mutual Information-Based Approach.

Yunjie Huang, Xiaozhuang Song, Yuanshao Zhu, Shiyao Zhang, James J. Q. Yu

IEEE Trans. Intell. Transp. Syst., August, 2023

Traffic Prediction With Missing Data: A Multi-Task Learning Approach.

Ao Wang, Yongchao Ye, Xiaozhuang Song, Shiyao Zhang, James J. Q. Yu

IEEE Trans. Intell. Transp. Syst., April, 2023

2022

Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations.

Xiaozhuang Song, Shun Zheng, Wei Cao, James J. Q. Yu, Jiang Bian

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.

Chenhan Zhang, Qingpeng Zhang, Shui Yu, James J. Q. Yu, Xiaozhuang Song

IEEE Trans. Comput. Soc. Syst., 2021

The CityLearn Challenge 2022: Overview, Results, and Lessons Learned.

Kingsley Nweye, Zoltán Nagy, Sharada Mohanty, Dipam Chakraborty, Siva Sankaranarayanan, Tianzhen Hong, Sourav Dey, Gregor Henze, Ján Drgona, Fangquan Lin, Wei Jiang, Hanwei Zhang, Zhongkai Yi, Jihai Zhang, Cheng Yang, Matthew Motoki, Sorapong Khongnawang, Michael Ibrahim, Abilmansur Zhumabekov, Daniel May, Zhihu Yang, Xiaozhuang Song, Han Zhang, Xiaoning Dong, Shun Zheng, Jiang Bian

Proceedings of the NeurIPS 2022 Competition Track, 2021

Learn Travel Time Distribution with Graph Deep Learning and Generative Adversarial Network.

Xiaozhuang Song, Chenhan Zhang, James J. Q. Yu

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Transfer Learning in Traffic Prediction with Graph Neural Networks.

Yunjie Huang, Xiaozhuang Song, Shiyao Zhang, James J. Q. Yu

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

TINet: Multi-dimensional Traffic Data Imputation via Transformer Network.

Xiaozhuang Song, Yongchao Ye, James J. Q. Yu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

TSTNet: A Sequence to Sequence Transformer Network for Spatial-Temporal Traffic Prediction.

Xiaozhuang Song, Ying Wu, Chenhan Zhang

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.

Xiaozhuang Song, Christos Markos, James J. Q. Yu

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020