---
title: "Kexin Huang · Stanford University — author profile and papers"
description: "Kexin Huang, Stanford University: 2 papers on Elamur Research (2019–2023), h-index 23 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/kexin-huang/"
---
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# Kexin Huang

Kexin Huang has 2 papers in our library, in 2019–2023, most of them on [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/); often with [Marinka Žitnik](https://md.research.elamur.ai/free/en/authors/marinka-zitnik/).

2 papers in our library · 2019–2023

[OpenAlex](https://openalex.org/A5049086940) · [ORCID](https://orcid.org/0000-0001-6693-8390) · [**h-index 23**](https://openalex.org/authors/A5049086940) · [83 works](https://openalex.org/works?filter=author.id:A5049086940) · [6,564 citations](https://openalex.org/works?filter=author.id:A5049086940&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/kexin-huang/#papers) · [🔗 Cited 461 times in our library](https://md.research.elamur.ai/free/en/authors/kexin-huang/cited-by/) · [23 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #1991](https://md.research.elamur.ai/free/en/paper-stars/page/20/#star-1991)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Kexin+Huang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Kexin+Huang) · [dblp](https://dblp.org/search?q=Kexin+Huang) · [ACL Anthology](https://aclanthology.org/search/?q=Kexin+Huang)

## Affiliations

[🎓**Stanford University** Stanford · United States 2020–2026 · 30 papers*current*](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**Harvard University** Cambridge · United States 2019–2024 · 19 papers](https://md.research.elamur.ai/free/en/universities/harvard-university/) · [🎓**New York University** New York · United States 2018–2023 · 3 papers](https://md.research.elamur.ai/free/en/universities/new-york-university/) · [🏢**Genentech** San Francisco 2024–2025 · 2 papers](https://ror.org/04gndp242) · [🎓**University of Michigan** Ann Arbor · United States 2022 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-michigan/)

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.

📚 Shelves 9 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Biochemistry, Genetics and Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Social Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/social-psychology/)

🧭 Topics 1 Research subjects and languages the work is about.[Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Knowledge graph · 1 work](https://md.research.elamur.ai/free/en/concepts/knowledge-graph/)

## Works by year

### 2020s

[**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/kexin-huang/year/2023/)

### 2010s

[**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/kexin-huang/year/2019/)

## Papers

The most cited first (OpenAlex and our library).

1. **[ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission](https://md.research.elamur.ai/free/en/papers/huang-2019-clinicalbert-modeling-clinical-notes-predicting/)** *(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](https://md.research.elamur.ai/free/en/papers/chandak-2023-building-knowledge-graph-enable-precision/)** *(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 Readmission arXiv:1904.05342**Kexin Huang, Jaan Altosaar, Rajesh Ranganath*2019 · 801 citations*](https://md.research.elamur.ai/free/en/papers/huang-2019-clinicalbert-modeling-clinical-notes-predicting/)
2. **[Building a knowledge graph to enable precision medicine](https://md.research.elamur.ai/free/en/papers/chandak-2023-building-knowledge-graph-enable-precision/) [Scientific Data](https://md.research.elamur.ai/free/en/venues/scientific-data/)**Payal Chandak, Kexin Huang, Marinka Žitnik*2023 · 555 citations*
3. **[Predicting transcriptional outcomes of novel multigene perturbations with GEARS ↗](https://doi.org/10.1038/s41587-023-01905-6) Nature Biotechnology · no summary yet**Yusuf Roohani, Kexin Huang, Jure Leskovec*2023 · 352 citations*
4. **[A foundation model for clinician-centered drug repurposing ↗](https://doi.org/10.1038/s41591-024-03233-x) Nature Medicine · no summary yet**Kexin Huang et al.*2024 · 249 citations*
5. **[Artificial intelligence foundation for therapeutic science ↗](https://doi.org/10.1038/s41589-022-01131-2) Nature Chemical Biology · no summary yet**Kexin Huang et al.*2022 · 201 citations*
6. **[Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development ↗](https://arxiv.org/abs/2102.09548) arXiv (Cornell University) · no summary yet**Kexin Huang et al.*2021 · 156 citations*
7. **[Biomni: A General-Purpose Biomedical AI Agent ↗](https://doi.org/10.1101/2025.05.30.656746) bioRxiv 2025.05.30.656746 · no summary yet**Kexin Huang et al.*2025 · 146 citations*
8. **[Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation ↗](https://aclanthology.org/2020.clinicalnlp-1.11/) Proceedings of the 3rd Clinical Natural Language Processing Workshop · no summary yet**Kexin Huang et al.*2020 · 65 citations*
9. **[SpatialAgent: An autonomous AI agent for spatial biology ↗](https://doi.org/10.1101/2025.04.03.646459) bioRxiv (Cold Spring Harbor Laboratory) · no summary yet**Hanchen Wang et al.*2025 · 55 citations*
10. **[Uncertainty Quantification over Graph with Conformalized Graph Neural Networks ↗](https://doi.org/10.52202/075280-1160) neural information processing systems · no summary yet**Kexin Huang et al.*2023 · 39 citations*
11. **[STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases ↗](https://doi.org/10.52202/079017-4037) neural information processing systems · no summary yet**Shirley Wu et al.*2024 · 38 citations*
12. **[AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning ↗](https://doi.org/10.52202/079017-0817) neural information processing systems · no summary yet**Shirley Wu et al.*2024 · 36 citations*
13. **[RelBench: A Benchmark for Deep Learning on Relational Databases ↗](https://doi.org/10.52202/079017-0672) neural information processing systems · no summary yet**Joshua Robinson et al.*2024 · 32 citations*
14. **[BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments ↗](https://arxiv.org/abs/2405.17631) arXiv:2405.17631 · no summary yet**Yusuf Roohani et al.*2024 · 29 citations*
15. **[Autonomous biomedical research with an artificial intelligence agent ↗](https://doi.org/10.1126/science.adz4351) Science · no summary yet**Kexin Huang et al.*2026 · 26 citations*
16. **[Relational Deep Learning: Graph Representation Learning on Relational Databases ↗](https://arxiv.org/abs/2312.04615) arXiv (Cornell University) · no summary yet**Matthias Fey et al.*2023 · 23 citations*
17. **[Automated Hypothesis Validation with Agentic Sequential Falsifications ↗](https://arxiv.org/abs/2502.09858) arXiv:2502.09858 · no summary yet**Kexin Huang et al.*2025 · 19 citations*
18. **[Small-cohort GWAS discovery with AI over massive functional genomics knowledge graph ↗](https://doi.org/10.1101/2024.12.03.24318375) medRxiv · no summary yet**Kexin Huang et al.*2024 · 7 citations*
19. **[High dimensional, tabular deep learning with an auxiliary knowledge graph ↗](https://doi.org/10.52202/075280-1146) neural information processing systems · no summary yet**Camilo Ruiz et al.*2023 · 4 citations*
20. **[TuneUp: A Simple Improved Training Strategy for Graph Neural Networks ↗](https://arxiv.org/abs/2210.14843) arXiv (Cornell University) · no summary yet**Weihua Hu et al.*2022 · 2 citations*
21. **[BiomniBench: Process-level Evaluation of LLM Agents for Real-world Biomedical Research ↗](https://doi.org/10.64898/2026.05.12.724604) bioRxiv (Cold Spring Harbor Laboratory) · no summary yet**Yuanhao Qu et al.*2026 · 1 citation*
22. **[TxConformal: Controlling False Discoveries in AI-Driven Therapeutic Discovery ↗](https://doi.org/10.64898/2026.04.27.721076) bioRxiv (Cold Spring Harbor Laboratory) · no summary yet**Ying Jin et al.*2026*
23. **[AutoScreen: AI Co-Scientist System for Target Discovery in Functional Genomics ↗](https://doi.org/10.64898/2026.09.06.749678) bioRxiv (Cold Spring Harbor Laboratory) · no summary yet**Yuanhao Qu et al.*2026*
24. **[Automating discovery with AI ↗](https://doi.org/10.25740/sb255dn3993) Stanford Digital Repository · no summary yet**Kexin Huang et al.*2025*
25. **[Enabling tabular deep learning when d n with an auxiliary knowledge graph ↗](https://arxiv.org/abs/2306.04766) arXiv (Cornell University) · no summary yet**Camilo Ruiz et al.*2023*

## Co-authors here

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

- [Marinka Žitnik](https://md.research.elamur.ai/free/en/authors/marinka-zitnik/)

## 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](https://md.research.elamur.ai/free/en/venues/scientific-data/): [Scientific Data 2023](https://md.research.elamur.ai/free/en/venues/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 →](https://md.research.elamur.ai/free/en/authors/kexin-huang/cited-by/).

Updated 1 November 2026