Zou, James

Towards Automatic Concept-based Explanations

Ghorbani, A., Wexler, J., Zou, J., & Kim, B. (2019) · arXiv

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

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Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

Zhang, Q., Hu, C., Upasani, S., Ma, B., Hong, F., Kamanuru, V., Rainton, J., Wu, C., Ji, M., Li, H., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

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Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale

Bianchi, F., Kalluri, P., Durmus, E., Ladhak, F., Cheng, M., Nozza, D., Hashimoto, T., Jurafsky, D., Zou, J., & Caliskan, A. (2023) · 2023 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 342

A generalist vision-language foundation model for diverse biomedical tasks

Zhang, K., Zhou, R., Adhikarla, E., Yan, Z., Liu, Y., Yu, J., Liu, Z., Chen, X., Davison, B. D., Ren, H., et al. (2024) · Nature Medicine

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 333

Polygenic enrichment distinguishes disease associations of individual cells in single-cell RNA-seq data

Zhang, M. J., Hou, K., Dey, K. K., Sakaue, S., Jagadeesh, K. A., Weinand, K., Taychameekiatchai, A., Rao, P., Pisco, A. O., Zou, J., et al. (2022) · Nature Genetics

Single-cell and spatial transcriptomicsGenetic Associations and Epidemiology

Cited by 302

TrustLLM: Trustworthiness in Large Language Models

Huang, Y., Sun, L., Wang, H., Wu, S., Zhang, Q., Li, Y., Gao, C., Huang, Y., Lyu, W., Zhang, Y., et al. (2024) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 256

Blinded, randomized trial of sonographer versus AI cardiac function assessment

He, B., Kwan, A. C., Cho, J. H., Yuan, N., Pollick, C., Shiota, T., Ebinger, J., Bello, N. A., Wei, J., Josan, K., et al. (2023) · Nature

Artificial Intelligence in Healthcare and EducationCardiovascular Function and Risk Factors

Cited by 256

Can large language models provide useful feedback on research papers? A large-scale empirical analysis

Liang, W., Zhang, Y., Cao, H., Wang, B., Ding, D., Yang, X., Vodrahalli, K., He, S., Smith, D., Yin, Y., et al. (2023) · arXiv

Academic Writing and PublishingTopic Modeling

Cited by 243

Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials

Esteva, A., Feng, J., van der Wal, D., Huang, S.-C., Simko, J. P., DeVries, S., Chen, E., Schaeffer, E. M., Morgan, T. M., Sun, Y., et al. (2022) · npj Digital Medicine

Radiomics and Machine Learning in Medical ImagingAI in cancer detection

Cited by 217

Protein structure generation via folding diffusion

Wu, K. E., Yang, K. K., Berg, R. V. D., Zou, J. Y., Lu, A. X., & Amini, A. P. (2022) · arXiv

Protein Structure and DynamicsComputational Drug Discovery Methods

Cited by 193

Multiaccuracy: Black-Box Post-Processing for Fairness in Classification

Kim, M. P., Ghorbani, A., & Zou, J. (2019) · Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 193

Super-resolved spatial transcriptomics by deep data fusion

Bergenstråhle, L., He, B., Bergenstråhle, J., Abalo, X., Mirzazadeh, R., Thrane, K., Ji, A. L., Andersson, A., Larsson, L., Stakenborg, N., et al. (2022) · Nature Biotechnology

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 188

Making AI Forget You: Data Deletion in Machine Learning

Ginart, A., Guan, M. Y., Valiant, G., & Zou, J. (2019) · arXiv

Privacy-Preserving Technologies in DataMachine Learning and Data Classification

Cited by 175

The Virtual Lab of AI agents designs new SARS-CoV-2 nanobodies

Swanson, K., Wu, W., Bulaong, N. L., Pak, J. E., & Zou, J. (2025) · Nature

SARS-CoV-2 and COVID-19 Researchvaccines and immunoinformatics approaches

Cited by 169

Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings

Demszky, D., Garg, N., Voigt, R., Zou, J., Shapiro, J., Gentzkow, M., & Jurafsky, D. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

Sentiment Analysis and Opinion MiningHate Speech and Cyberbullying Detection

Cited by 164

Graph deep learning for the characterization of tumour microenvironments from spatial protein profiles in tissue specimens

Wu, Z., Trevino, A. E., Wu, E., Swanson, K., Kim, H. J., D’Angio, H. B., Preska, R., Charville, G. W., Dalerba, P. D., Egloff, A. M., et al. (2022) · Nature Biomedical Engineering

Single-cell and spatial transcriptomicsAI in cancer detection

Cited by 154

Molecular hallmarks of heterochronic parabiosis at single-cell resolution

Pálovics, R., Keller, A., Schaum, N., Tan, W., Fehlmann, T., Borja, M., Kern, F., Bonanno, L., Calcuttawala, K., Webber, J., et al. (2022) · Nature

Genetics, Aging, and Longevity in Model OrganismsSingle-cell and spatial transcriptomics

Cited by 153

The rise of agentic AI teammates in medicine

Zou, J., & Topol, E. J. (2025) · The Lancet

Artificial Intelligence in Healthcare and EducationArtificial Intelligence Applications

Cited by 138

Ensuring that biomedical AI benefits diverse populations

Zou, J., & Schiebinger, L. (2021) · EBioMedicine

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 124

Characterizing the clinical adoption of medical AI devices through U.S. insurance claims

Wu, K., Wu, E., Theodorou, B., Liang, W., Mack, C., Glass, L., Sun, J., & Zou, J. (2024) · NEJM AI

Artificial Intelligence in Healthcare and EducationHealthcare Policy and Management

Cited by 103

Optimizing generative AI by backpropagating language model feedback

Yuksekgonul, M., Bianchi, F., Boen, J., Liu, S., Lu, P., Huang, Z., Guestrin, C., & Zou, J. (2025) · Nature

Artificial Intelligence ApplicationsTopic Modeling

Cited by 85

Quantifying large language model usage in scientific papers

Liang, W., Zhang, Y., Wu, Z., Lepp, H., Ji, W., Zhao, X., Cao, H., Liu, S., He, S., Huang, Z., et al. (2025) · Nature Human Behaviour

scientometrics and bibliometrics researchAcademic Writing and Publishing

Cited by 80

Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews

Liang, W., Izzo, Z., Zhang, Y., Lepp, H., Cao, H., Zhao, X., Chen, L., Ye, H., Liu, S., Huang, Z., et al. (2024) · arXiv

Authorship Attribution and ProfilingAcademic integrity and plagiarism

Cited by 73

An automated framework for assessing how well LLMs cite relevant medical references

Wu, K., Wu, E., Wei, K., Zhang, A., Casasola, A., Nguyen, T., Riantawan, S., Shi, P., Ho, D., & Zou, J. (2025) · Nature Communications

Artificial Intelligence in Healthcare and EducationInformation Retrieval and Search Behavior

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