🧑‍🔬 Kexin Huang

🏛️ Affiliations

🎓Stanford UniversityStanford · United States2020–2026 · 30 paperscurrent🎓Harvard UniversityCambridge · United States2019–2024 · 19 papers🎓New York UniversityNew York · United States2018–2023 · 3 papers🏢GenentechSan Francisco2024–2025 · 2 papers🎓University of MichiganAnn Arbor · United States2022 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (2019 · 801 citations)
   Clinical notes hold rich patient information (symptoms, reasoning behind diagnoses, history), but their length, jargon, abbreviations and odd grammar make them hard to use in predictive models.
2. Building a knowledge graph to enable precision medicine (2023 · 555 citations)
   Knowledge about diseases is fragmented across publications, databases and ontologies that encode diseases in different and often conflicting ways.

All works

25 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. ClinicalBERT: Modeling Clinical Notes and Predicting Hospital ReadmissionarXiv:1904.05342Kexin Huang, Jaan Altosaar, Rajesh Ranganath2019 · 801 citations
2. Building a knowledge graph to enable precision medicineScientific DataPayal Chandak, Kexin Huang, Marinka Žitnik2023 · 555 citations
3. Predicting transcriptional outcomes of novel multigene perturbations with GEARS ↗Nature Biotechnology · no summary yetYusuf Roohani, Kexin Huang, Jure Leskovec2023 · 352 citations
4. A foundation model for clinician-centered drug repurposing ↗Nature Medicine · no summary yetKexin Huang et al.2024 · 249 citations
5. Artificial intelligence foundation for therapeutic science ↗Nature Chemical Biology · no summary yetKexin Huang et al.2022 · 201 citations
6. Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development ↗arXiv (Cornell University) · no summary yetKexin Huang et al.2021 · 156 citations
7. Biomni: A General-Purpose Biomedical AI Agent ↗bioRxiv 2025.05.30.656746 · no summary yetKexin Huang et al.2025 · 146 citations
8. Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation ↗Proceedings of the 3rd Clinical Natural Language Processing Workshop · no summary yetKexin Huang et al.2020 · 65 citations
9. SpatialAgent: An autonomous AI agent for spatial biology ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetHanchen Wang et al.2025 · 55 citations
10. Uncertainty Quantification over Graph with Conformalized Graph Neural Networks ↗neural information processing systems · no summary yetKexin Huang et al.2023 · 39 citations
11. STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases ↗neural information processing systems · no summary yetShirley Wu et al.2024 · 38 citations
12. AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning ↗neural information processing systems · no summary yetShirley Wu et al.2024 · 36 citations
13. RelBench: A Benchmark for Deep Learning on Relational Databases ↗neural information processing systems · no summary yetJoshua Robinson et al.2024 · 32 citations
14. BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments ↗arXiv:2405.17631 · no summary yetYusuf Roohani et al.2024 · 29 citations
15. Autonomous biomedical research with an artificial intelligence agent ↗Science · no summary yetKexin Huang et al.2026 · 26 citations
16. Relational Deep Learning: Graph Representation Learning on Relational Databases ↗arXiv (Cornell University) · no summary yetMatthias Fey et al.2023 · 23 citations
17. Automated Hypothesis Validation with Agentic Sequential Falsifications ↗arXiv:2502.09858 · no summary yetKexin Huang et al.2025 · 19 citations
18. Small-cohort GWAS discovery with AI over massive functional genomics knowledge graph ↗medRxiv · no summary yetKexin Huang et al.2024 · 7 citations
19. High dimensional, tabular deep learning with an auxiliary knowledge graph ↗neural information processing systems · no summary yetCamilo Ruiz et al.2023 · 4 citations
20. TuneUp: A Simple Improved Training Strategy for Graph Neural Networks ↗arXiv (Cornell University) · no summary yetWeihua Hu et al.2022 · 2 citations
21. BiomniBench: Process-level Evaluation of LLM Agents for Real-world Biomedical Research ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetYuanhao Qu et al.2026 · 1 citation
22. TxConformal: Controlling False Discoveries in AI-Driven Therapeutic Discovery ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetYing Jin et al.2026
23. AutoScreen: AI Co-Scientist System for Target Discovery in Functional Genomics ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetYuanhao Qu et al.2026
24. Automating discovery with AI ↗Stanford Digital Repository · no summary yetKexin Huang et al.2025
25. Enabling tabular deep learning when d n with an auxiliary knowledge graph ↗arXiv (Cornell University) · no summary yetCamilo Ruiz et al.2023

🤝 Co-authors here

1 co-author with a page, the most papers together first.

• Marinka Žitnik

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• neural information processing systems ×5
• bioRxiv (Cold Spring Harbor Laboratory) ×4
• Scientific Data: Scientific Data 2023
• Nature Biotechnology
• Nature Chemical Biology
• Nature Medicine
• Proceedings of the 3rd Clinical Natural Language Processing Workshop
• Science
• Stanford Digital Repository
• bioRxiv 2025.05.30.656746
• medRxiv

🔗 Cited by

Papers of our library cite their works 461 times (of the 149,439 papers whose bibliographies we read); 41 citing papers with a page here →.

Updated 1 November 2026

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