Si-Yang Liu @ LAMDA, NJU-AI

Si-Yang Liu, Han-Jia Ye. TabSwift: An Efficient Tabular Foundation Model with Row-Wise Attention. ICML 2026, Spotlight, CCF-A, 第一作者. Spotlight CCF-A First Author

Si-Yang Liu, Han-Jia Ye. TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems. In Proceedings of the 42nd International Conference on Machine Learning (ICML 2025, CCF-A, 第一作者). CCF-A First Author [Paper]

Han-Jia Ye, Si-Yang Liu, Wei-Lun Chao. A Closer Look at TabPFN v2: Strength, Limitation, and Extension. In: Advances in Neural Information Processing Systems 38 (NeurIPS'25, CCF-A, 学生第一作者). CCF-A Student First [Paper]

Zi-Rong Li, Si-Yang Liu, Tian-Zuo Wang, Han-Jia Ye. TabCausal: Pretraining Across Causal Environments for Tabular Causal Discovery. In 2nd ICML Workshop on Foundation Models for Structured Data, 2026 (ICML@FMSD 2026), 第二作者.

Si-Yang Liu, Hao-Run Cai, Qile Zhou, Huai-Hong Yin, Tao Zhou, Jun-Peng Jiang, Han-Jia Ye. TALENT: A Tabular Analytics and Learning Toolbox. Journal of Machine Learning Research 2025 (JMLR, CCF-A, 第一作者). CCF-A First Author [Paper] [Code]

Jun-Peng Jiang, Si-Yang Liu, Hao-Run Cai, Qile Zhou, Han-Jia Ye. Representation Learning for Tabular Data: A Comprehensive Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence 2026 (TPAMI, CCF-A). CCF-A [Paper] [Code]

Han-Jia Ye, Si-Yang Liu*, Hao-Run Cai*, Qile Zhou, De-Chuan Zhan. A Closer Look at Deep Learning Methods on Tabular Datasets. Student First [Paper] [Code]

Si-Yang Liu, Han-Jia Ye. From Universal Prediction to Universal Workflows: A Survey of Foundation Models for Structured Data. 第一作者, Under Review. Under Review First Author

Si-Yang Liu, Zong-Da Li, Chenming Xu, Han Li, Rui-Qiao Chen, Han-Jia Ye. Look ahead Automated Feature Engineering for Tabular Prediction via Kaggle-Guided Knowledge Transfer. In 2nd ICML Workshop on Foundation Models for Structured Data, 2026 (ICML@FMSD 2026), 第一作者. First Author

Si-Yang Liu*, Qile Zhou*, Han-Jia Ye. Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard. In 1st ICML Workshop on Foundation Models for Structured Data, 2025. First Author [Paper]

Jun-Peng Jiang, Si-Yang Liu, De-Chuan Zhan, Han-Jia Ye. Mind the Modality Gap: Multimodal Representation Learning for Tabular Data with Text Signals. [Paper] [Code]

Qiang Wan, Ze Yang, Dawei Yang, Ying Fan, Xin Yan, Si-Yang Liu. R3-VAE: Reference Vector-Guided Rating Residual Quantization VAE for Generative Recommendation. [Paper]