Xiaozhuang Song

29 papers A* 5Journal 15Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Calibrating Tabular Anomaly Detection via Optimal Transport.
CoRR
Hangting Ye, He Zhao, Wei Fan, Xiaozhuang Song, Dandan Guo, Yi Chang, Hongyuan Zha
2026 J jnl
Deep Tabular Representation Corrector.
CoRR
Hangting Ye, Peng Wang, Wei Fan, Xiaozhuang Song, He Zhao, Dandan Gun, Yi Chang
2026 J jnl
Deep Tabular Representation Corrector.
IEEE Trans. Pattern Anal. Mach. Intell.
Hangting Ye, Peng Wang, Wei Fan, Xiaozhuang Song, He Zhao, Dandan Guo, Yi Chang
2026 J jnl
MedViA: Empowering medical time series classification with vision augmentation and multimodal fusion.
Inf. Fusion
Wei Fan, Jingru Fei, Jindong Han, Jie Lian, Hangting Ye, Xiaozhuang Song, Xin Lv, Kun Yi, Min Li
2026 A* conf
Physically-Informed Flow Matching with Graph Neural Networks for Complex Fluid Dynamics.
AAAI
Xiaozhuang Song, Tianshu Yu
2025 J jnl
AOT*: Efficient Synthesis Planning via LLM-Empowered AND-OR Tree Search.
CoRR
Xiaozhuang Song, Xuanhao Pan, Xinjian Zhao, Hangting Ye, Shufei Zhang, Jian Tang, Tianshu Yu
2025 A* conf
Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining.
AAAI
Xiaozhuang Song, Yuzhao Tu, Hangting Ye, Wei Fan, Qingquan Zhang, Xiaoxue Wang, Tianshu Yu
2025 J jnl
Enhancing Molecular Conformer Generation via Fragment- Augmented Diffusion Pretraining.
Trans. Mach. Learn. Res.
Xiaozhuang Song, Yuzhao Tu, Tianshu Yu
2025 J jnl
MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification.
CoRR
Wei Fan, Jingru Fei, Dingyu Guo, Kun Yi, Xiaozhuang Song, Haolong Xiang, Hangting Ye, Min Li
2025 — conf
ReKG-MCTS: Reinforcing LLM Reasoning on Knowledge Graphs via Training-Free Monte Carlo Tree Search.
ACL (Findings)
Xiaozhuang Song, Shufei Zhang, Tianshu Yu
2025 J jnl
The Underappreciated Power of Vision Models for Graph Structural Understanding.
CoRR
Xinjian Zhao, Wei Pang, Zhongkai Xue, Xiangru Jian, Lei Zhang, Yaoyao Xu, Xiaozhuang Song, Shu Wu, Tianshu Yu
2025 A* conf
Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification.
WWW
Wei Fan, Jingru Fei, Dingyu Guo, Kun Yi, Xiaozhuang Song, Haolong Xiang, Hangting Ye, Min Li
2024 — conf
Boosting Protein Language Models with Negative Sample Mining.
ECML/PKDD (10)
Yaoyao Xu, Xinjian Zhao, Xiaozhuang Song, Benyou Wang, Tianshu Yu
2024 J jnl
Boosting Protein Language Models with Negative Sample Mining.
CoRR
Yaoyao Xu, Xinjian Zhao, Xiaozhuang Song, Benyou Wang, Tianshu Yu
2024 J jnl
GT-TTE: Modeling Trajectories as Graphs for Travel Time Estimation.
IEEE Internet Things J.
Yunjie Huang, Xiaozhuang Song, Shiyao Zhang, Lei Li, James Jian Qiao Yu
2024 A* conf
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration.
ICLR
Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang
2024 J jnl
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration.
CoRR
Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang
2024 — conf
Single Cell Gene Expression Prediction via Prototype-based Proximal Neural Factorization.
BIBM
Xiaozhuang Song, Xu Liao, Hangting Ye, Yaoyao Xu, Wei Fan, Jin Liu, Tianshu Yu
2023 J jnl
Traffic Prediction With Missing Data: A Multi-Task Learning Approach.
IEEE Trans. Intell. Transp. Syst.
Ao Wang, Yongchao Ye, Xiaozhuang Song, Shiyao Zhang, James J. Q. Yu
2023 J jnl
Traffic Prediction With Transfer Learning: A Mutual Information-Based Approach.
IEEE Trans. Intell. Transp. Syst.
Yunjie Huang, Xiaozhuang Song, Yuanshao Zhu, Shiyao Zhang, James J. Q. Yu
2023 J jnl
Traffic Prediction with Transfer Learning: A Mutual Information-based Approach.
CoRR
Yunjie Huang, Xiaozhuang Song, Yuanshao Zhu, Shiyao Zhang, James J. Q. Yu
2022 A* conf
Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations.
NeurIPS
Xiaozhuang Song, Shun Zheng, Wei Cao, James J. Q. Yu, Jiang Bian
2021 J jnl
Complicating the Social Networks for Better Storytelling: An Empirical Study of Chinese Historical Text and Novel.
IEEE Trans. Comput. Soc. Syst.
Chenhan Zhang, Qingpeng Zhang, Shui Yu, James J. Q. Yu, Xiaozhuang Song
2021 — conf
Learn Travel Time Distribution with Graph Deep Learning and Generative Adversarial Network.
ITSC
Xiaozhuang Song, Chenhan Zhang, James J. Q. Yu
2021 — conf
TINet: Multi-dimensional Traffic Data Imputation via Transformer Network.
ICANN (1)
Xiaozhuang Song, Yongchao Ye, James J. Q. Yu
2021 — conf
TSTNet: A Sequence to Sequence Transformer Network for Spatial-Temporal Traffic Prediction.
ICANN (1)
Xiaozhuang Song, Ying Wu, Chenhan Zhang
2021 — conf
The CityLearn Challenge 2022: Overview, Results, and Lessons Learned.
NeurIPS (Competition and Demos)
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
2021 — conf
Transfer Learning in Traffic Prediction with Graph Neural Networks.
ITSC
Yunjie Huang, Xiaozhuang Song, Shiyao Zhang, James J. Q. Yu
2020 — conf
MultiMix: A Multi-Task Deep Learning Approach for Travel Mode Identification with Few GPS Data.
ITSC
Xiaozhuang Song, Christos Markos, James J. Q. Yu