Publications

Ongoing

Compute-Optimal Scaling Laws for a Data-Constrained Protein Language Model. Jinglin Jian, Zefan Cai, …, Stefano Forli, Bryan Briney. Ongoing, 2026.
Science Earth: Towards A Planet-Scale Operating System for AI-Native Scientific Discovery. Zhe Zhao, Haibin Wen, Yingcheng Wu, Jiaming Ma, Yifan Wen, Jinglin Jian, Jiacheng Ge, Xiangru Tang, Bo An, Ming Yin, Sanfeng Wu, Mengdi Wang, Le Cong. Ongoing, 2026. [arXiv record]
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. Ongoing, 2026.

From Protocols to Policies: A Long-Horizon Manipulation Benchmark from Scientific Workflows. Wenbo Lu, Jinglin Jian, Xi Wang, Yingcheng Wu, Luna Lyu, Shenji Wan, Le Cong. Under review by NeurIPS, 2026.
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.

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]