Author

Lilong Wang

Shanghai Artificial Intelligence Laboratory

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:benchmark study· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

Xiaosong Wang· 2 shared Yingnan HaniD· 2 shared Zhenyu TangiD· 2 shared Bin ZhouiD· 1 shared Erping LongiD· 1 shared Faming Chen· 1 shared Fulong YuiD· 1 shared Haoran Sun· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersGenetics

Xiaosong Wang

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2 papers

Recent·Most cited

Scaling genetic discovery through automated post-GWAS interpretation

Libo Qiao, Shuang Gu, Ye Yang, Yingnan Han, Xuanzhao Li, Xing Wan, Xiwen Zhang, Qinhao Zhang, Tingting Hu, Yan Zhang, Faming Chen, Jiaheng He, Jingxuan Wang, Zhenyu Tang, Peng Ye, , Fulong Yu

This paper introduces PGI, a system that automates post-GWAS interpretation, achieving high recovery of findings and enabling cross-study biological evidence accumulation.

bioRxiv · Oct 27, 2026 · PreprintGenetics

MolClaw: An Autonomous Agent with Hierarchical Skills for Drug Molecule Evaluation, Screening, and Optimization

Lisheng Zhang, Lilong Wang, Xiangyu Sun, Wei Tang, Haoyang Su, Yuehui Qian, Qikui Yang, Qingsong Li, Zhenyu Tang, Haoran Sun, Yingnan Han, Yankai Jiang, Wenjie Lou, Bin Zhou, Xiaosong Wang, , Zhengwei Xie

MolClaw is an autonomous agent that evaluates, screens, and optimizes drug molecules using a hierarchical skill system, achieving state-of-the-art performance in complex workflows.

bioRxiv · Apr 6, 2026 · PreprintBioinformatics