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, mianly foucus on LLMs for Assisting Tabular Data Prediction and Tabular Foundation Model.

Publications

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. [Paper]

WSFG 
  • Jun-Peng Jiang, Si-Yang Liu, De-Chuan Zhan, Han-Jia Ye. Unlocking the Power of Text in Deep Tabular Data Learning. [Paper] [Code]

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) [Paper]

WSFG 
  • Han-Jia Ye, Si-Yang Liu, Wei-Lun Chao. A Closer Look at TabPFN v2: Strength, Limitation, and Extension. [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. [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]

Teaching Assistant

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

Service

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

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.)