Si-Yang Liu @ LAMDA, NJU-AI

刘思阳
Si-Yang Liu
M.Sc Student, LAMDA Group
School of Artificial Intelligence
Nanjing University, Nanjing 210023, China

Email: liusy [at] lamda.nju.edu.cn


Short Biography

I received my B.Sc. degree from School of Artificial Intelligence, Nanjing University, in June 2024. In the same year, I was admitted to study for a M.Sc. degree in Nanjing University  without entrance examination in the LAMDA Group led by professor Zhi-Hua Zhou, under the supervision of Associate Prof Han-Jia Ye.

Research Interests

My research interests include Machine Learning and Data Mining, mainly foucus on LLMs for Assisting Tabular Data Prediction and Tabular Foundation Model.

Publications

Tabular Foundation Model

WSFG 

  • 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 main conference, CCF-A, 第一作者) and 1st ICML Workshop on Foundation Models for Structured Data. [Paper]

WSFG 

  • 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). [Paper]

Benchmarking Tabular Data Models

WSFG 

  • 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 (JMLR, CCF-A, 第一作者). [Paper] [Code]

WSFG 

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

WSFG 

  • Jun-Peng Jiang, Si-Yang Liu, Hao-Run Cai, Qile Zhou, Han-Jia Ye. Representation Learning for Tabular Data: A Comprehensive Survey. [Paper] [Code]

LLMs for Assisting Tabular Data Prediction

WSFG 

  • 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. 共同第一作者 [Paper]

WSFG 

  • 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]

Teaching Assistant

Introduction to Machine Learning. (For undergraduate students, Autumn, 2025; Prof. Han-Jia Ye)

Introduction to Machine Learning. (For undergraduate students, Autumn, 2024; Prof. Han-Jia Ye)

Service

Conference Reviewer: AAAI'25, ICLR'25, ICLR'26, IJCAI'25, PAKDD'26

Correspondence

Email: liusy [at] lamda.nju.edu.cn

Office: Room A202, Shaoyifu Building, Xianlin Campus of Nanjing University

Address: National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China

(南京市栖霞区仙林大道163号, 南京大学仙林校区603信箱, 软件新技术国家重点实验室, 210023.)