I am a third Ph.D. student working with Prof. (Lin Tan) in the Department of Computer Science of Purdue University.

I am interested in leveraging Artificial Intelligence, particularly Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs), to address challenges in Software Engineering. Currently, I am exploring their applications in tasks such as code generation and UI-to-HTML generation.

Publications

• LATTE: Improving LaTeX Recognition for Tables and Formulae with Iterative Refinement AAAI 2025 [Paper]
  Nan Jiang, Shanchao Liang, Chengxiao Wang, Jiannan Wang, Lin Tan

• Application of Machine Learning Principles to Radiomics Data for Mucinous Characterization of Pancreatic Cysts Abdominal Radiology 2021 [Paper]
  Adam M. Awe, Michael M. Vanden Heuvel, Tianyuan Yuan, Mingren Shen, Victoria R. Rendell, Agrima Kampani, Shanchao Liang, Dane D. Morgan, Emily R. Winslow, Meghan G Lubner

Pre-prints

• Can Language Models Replace Programmers? REPOCOD Says ‘Not Yet’ [Paper] [Page]
  Shanchao Liang, Yiran Hu, Nan Jiang, Lin Tan

• WAFFLE: Multi-Modal Model for Automated Front-End Development [Paper]
  Shanchao Liang, Nan Jiang, Shangshu Qian, Lin Tan

• CaBaGE: Data-Free Model Extraction using ClAss BAlanced Generator Ensembles [Paper]
  Jonathan Rosenthal, Shanchao Liang, Kevin Zhang, Lin Tan