Publications

Preprints

• Exploring Agentic Multimodal Large Language Models: A Survey for AI Scientists. Jinglin Jian, Yi R. Fung, Denghui Zhang, Yiqian Liang, Qingyu Chen, Zhiyong Lu, Qingyun Wang. TechRxiv, 2025. [Paper]

• Toward a Team of AI-made Scientists for Scientific Discovery from Gene Expression Data. Haoyang Liu, Yijiang Li, Jinglin Jian, Yuxuan Cheng, Jianrong Lu, Shuyi Guo, Jinglei Zhu, Mianchen Zhang, Miantong Zhang, Haohan Wang. arXiv, 2024. [Paper]

• Tutorial: Human-AI Co-Discovery. Qingyun Wang, Wenpeng Yin, Lifu Huang, Yi R. (May) Fung, Jinglin Jian, Xuehang Guo, Ruochen Li. Submitted to ACL 2026.

Conference Proceedings

• Allosterically Inhibiting Pseudomonas aeruginosa’s Polyphosphate Kinase 2A by Disrupting Its Oligomerization. Constanza Torres-Paris, Madeline G. Ammend, Joseph Agha, Jinglin Jian, Matthew Holcomb, Stefano Forli, Lisa R. Racki. BPS 2026 (Poster).

• Big Data-Driven Computational Aptamer Design Framework via Parallel Monte Carlo Tree Search. Jinglin Jian, Zhiheng Jiao, Zihan Li, Jin Chen. IEEE BigData 2024. [Paper]

• Patient Outcome Predictions via A Multimodal Language Model for Electronic Health Records. Zihan Li, Jinglin Jian, Chundian Li, Jinxia Yao, Jin Chen, Yang Zhang. IEEE BigData 2024. [Paper]

• GeoCM: Exploring Consistency Models and EGNNs for Molecular 3D Structure Prediction. Ruibo Hou, Dian Zhou, Jinglin Jian, Ge Liu. UIUC ML for Bioinformatics Workshop. [Paper]

In Preparation

• The AI Scientist in Health: Potential, Challenges, and the Road Ahead. Advised by Prof. Qingyun Wang (William & Mary) and Prof. Qingyu Chen (Yale).