Xiaozhuang Song

According to our database, Xiaozhuang Song authored at least 19 papers between 2020 and 2025.

Collaborative distances:

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

2025

MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification.

Wei Fan, Jingru Fei, Dingyu Guo, Kun Yi, Xiaozhuang Song, Haolong Xiang, Hangting Ye, Min Li

CoRR, February, 2025

Enhancing Molecular Conformer Generation via Fragment- Augmented Diffusion Pretraining.

Xiaozhuang Song, Yuzhao Tu, Tianshu Yu

Trans. Mach. Learn. Res., 2025

Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification.

Wei Fan, Jingru Fei, Dingyu Guo, Kun Yi, Xiaozhuang Song, Haolong Xiang, Hangting Ye, Min Li

Proceedings of the ACM on Web Conference 2025, 2025

ReKG-MCTS: Reinforcing LLM Reasoning on Knowledge Graphs via Training-Free Monte Carlo Tree Search.

Xiaozhuang Song, Shufei Zhang, Tianshu Yu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining.

Xiaozhuang Song, Yuzhao Tu, Hangting Ye, Wei Fan, Qingquan Zhang, Xiaoxue Wang, Tianshu Yu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

GT-TTE: Modeling Trajectories as Graphs for Travel Time Estimation.

Yunjie Huang, Xiaozhuang Song, Shiyao Zhang, Lei Li, James Jian Qiao Yu

IEEE Internet Things J., October, 2024

Boosting Protein Language Models with Negative Sample Mining.

Yaoyao Xu, Xinjian Zhao, Xiaozhuang Song, Benyou Wang, Tianshu Yu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

PTaRL: Prototype-based Tabular Representation Learning via Space Calibration.

Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Single Cell Gene Expression Prediction via Prototype-based Proximal Neural Factorization.

Xiaozhuang Song, Xu Liao, Hangting Ye, Yaoyao Xu, Wei Fan, Jin Liu, Tianshu Yu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

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 P. 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