LIN JiangHao

JiangHao Lin is a Tenure-Track Assistant Professor in the Department of Data and Business Intelligence at Antai College of Economics and Management, Shanghai Jiao Tong University. His research interests include generative foundation models and data science, with a focus on large language models, AI agents, and diffusion models. He has published over 40 papers at prestigious international conferences and journals, including Best Paper Awards at DLP-RecSys 2023 and RelKD-KDD 2024. One of his papers is listed as an ESI Highly Cited Paper. Dr. Lin also serves as a supervisor at the Institute of Intelligent Computing and the APEX Data & Knowledge Management Lab.

Jianghao Lin is a researcher at Shanghai Jiao Tong University with expertise in Large Language Models, Agents, Recommender Systems, and Operations Research. His work explores the integration of large language models into recommendation systems to enhance sequential behavior comprehension and knowledge augmentation. Lin also investigates AI agent protocols, agentic information retrieval, and diffusion models for recommendation. His research emphasizes the development of efficient and effective methods for sequential recommendation, click-through rate prediction, and knowledge tracing. Lin's contributions include surveys on LLM-based deep search agents, retrieval methods in recommenders, and model-agnostic pretraining frameworks.