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2020 – today
- 2024
[j4]Yunjie Huang
, Xiaozhuang Song, Shiyao Zhang, Lei Li, James Jian Qiao Yu:
GT-TTE: Modeling Trajectories as Graphs for Travel Time Estimation. IEEE Internet Things J. 11(19): 30965-30977 (2024)- [c9]Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang:
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration. ICLR 2024 - [c8]Yaoyao Xu, Xinjian Zhao, Xiaozhuang Song, Benyou Wang, Tianshu Yu:
Boosting Protein Language Models with Negative Sample Mining. ECML/PKDD (10) 2024: 199-214 - [i3]Yaoyao Xu, Xinjian Zhao, Xiaozhuang Song, Benyou Wang, Tianshu Yu:
Boosting Protein Language Models with Negative Sample Mining. CoRR abs/2405.17902 (2024) - [i2]Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang:
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration. CoRR abs/2407.05364 (2024) - 2023
- [j3]Ao Wang, Yongchao Ye, Xiaozhuang Song, Shiyao Zhang, James J. Q. Yu:
Traffic Prediction With Missing Data: A Multi-Task Learning Approach. IEEE Trans. Intell. Transp. Syst. 24(4): 4189-4202 (2023) - [j2]Yunjie Huang, Xiaozhuang Song, Yuanshao Zhu, Shiyao Zhang, James J. Q. Yu:
Traffic Prediction With Transfer Learning: A Mutual Information-Based Approach. IEEE Trans. Intell. Transp. Syst. 24(8): 8236-8252 (2023) - [i1]Yunjie Huang, Xiaozhuang Song, Yuanshao Zhu, Shiyao Zhang, James J. Q. Yu:
Traffic Prediction with Transfer Learning: A Mutual Information-based Approach. CoRR abs/2303.07184 (2023) - 2022
- [c7]Xiaozhuang Song, Shun Zheng, Wei Cao, James J. Q. Yu, Jiang Bian:
Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations. NeurIPS 2022 - 2021
- [j1]Chenhan Zhang, Qingpeng Zhang, Shui Yu, James J. Q. Yu, Xiaozhuang Song:
Complicating the Social Networks for Better Storytelling: An Empirical Study of Chinese Historical Text and Novel. IEEE Trans. Comput. Soc. Syst. 8(3): 754-767 (2021) - [c6]Xiaozhuang Song, Yongchao Ye, James J. Q. Yu:
TINet: Multi-dimensional Traffic Data Imputation via Transformer Network. ICANN (1) 2021: 306-317 - [c5]Xiaozhuang Song, Ying Wu, Chenhan Zhang:
TSTNet: A Sequence to Sequence Transformer Network for Spatial-Temporal Traffic Prediction. ICANN (1) 2021: 343-354 - [c4]Xiaozhuang Song, Chenhan Zhang, James J. Q. Yu:
Learn Travel Time Distribution with Graph Deep Learning and Generative Adversarial Network. ITSC 2021: 1385-1390 - [c3]Yunjie Huang, Xiaozhuang Song, Shiyao Zhang, James J. Q. Yu:
Transfer Learning in Traffic Prediction with Graph Neural Networks. ITSC 2021: 3732-3737 - [c2]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:
The CityLearn Challenge 2022: Overview, Results, and Lessons Learned. NeurIPS (Competition and Demos) 2021: 85-103 - 2020
- [c1]Xiaozhuang Song, Christos Markos, James J. Q. Yu:
MultiMix: A Multi-Task Deep Learning Approach for Travel Mode Identification with Few GPS Data. ITSC 2020: 1-6
Coauthor Index
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