Kevin(Jian) Lu

Master's Student · Duke University

I am a Master's student in Computer Science at Duke University. I am fortunate to work with Professor Anru Zhang on AI for Health, where I explore how advanced AI methods—particularly large language models and generative models—can improve clinical data understanding and healthcare applications.

Motivated by the fundamental challenges underlying current AI systems—such as efficiency, reasoning reliability, and scalability observed in real-world applications—I actively study the foundations of artificial intelligence, including efficient AI agent workflows, scalable reasoning in large language models, and memory and context management. My long-term goal is to develop more efficient and principled AI systems that better support real-world applications.

Previously, I obtained my B.S. in Computer Science from the University of Rochester, where I worked with Professor Jiebo Luo on computer vision methods for biomedical image analysis.

Selected Publications

2026 IEEE International Conference on Healthcare Informatics (ICHI)
Reliable Curation of EHR Dataset via Large Language Models under Environmental Constraints
Raymond M. Xiong, Panyu Chen, Tianze Dong, Jian Lu, Louis Hu, Nathan Yu, Benjamin Goldstein, Danyang Zhuo, Anru R. Zhang
2025 ICLR 2025 Workshop on Data Problems
Revisiting Multi-Modal LLM Evaluation
Jian Lu, Shikhar Srivastava, Junyu Chen, Robik Shrestha, Manoj Acharya, Kushal Kafle, Christopher Kanan

Education

2025 — Present
M.S. in Computer Science
Duke University, Durham, NC
Advisor: Prof. Anru Zhang. Research focus on AI for Health, efficient AI agent workflows, and scalable reasoning in large language models.
2021 — 2025
B.S. in Computer Science
University of Rochester, Rochester, NY
Worked with Prof. Jiebo Luo on computer vision methods for biomedical image analysis.

Contact