I am a Ph.D. student in Computer Science at the University of Illinois Chicago. I am fortunate to be advised by Prof. Philip S. Yu. My research interest is generative models for heterogeneous and multimodal data.

Previously, I received my M.S. in Biomedical Data Science and Mathematics from University of Wisconsin-madison, where I am grateful to have worked with Prof. Yin Li and Prof. Vikas Singh. I received my B.S. in Mathematics from Sun Yat-sen University.

I have been a research intern at Bosch Center for Artificial Intelligence.

Preferred way of being contacted: lfang87 AT uic DOT edu

[Curriculum Vitae]

Selected Publications

• MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection

  Liancheng Fang, Aiwei Liu, Henry Peng Zou, Yankai Chen, Hengrui Zhang, Zhongfen Deng, Philip S. Yu

  Arxiv 2025

• TabGen-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation

  Liancheng Fang, Aiwei Liu, Hengrui Zhang, Henry Peng Zou, Weizhi Zhang, Philip S. Yu

  ACL 2025 (Findings)

• Diffusion-nested Auto-Regressive Synthesis of Heterogeneous Tabular Data

  Hengrui Zhang*, Liancheng Fang*, Qitian Wu, Philip S. Yu

  ICML 2025

• Can Watermarked LLMs be Identified by Users via Crafted Prompts?

  Aiwei Liu, Sheng Guan, Yiming Liu, Leyi Pan, Yifei Zhang, Liancheng Fang, Lijie Wen, Philip S. Yu, Xuming Hu

  ICLR 2025 Spotlight

• DiffPuter: Empowering Diffusion Models for Missing Data Imputation

  Hengrui Zhang, Liancheng Fang, Qitian Wu, Philip S. Yu

  ICLR 2025 Spotlight