PeopleofSuperintelligence

Researcher

Hong-You Chen

Hong-You Chen is an AI researcher whose work connects federated learning with computer vision and multimodal foundation models. He earned a PhD in computer science and engineering at Ohio State, developed federated-learning methods with Wei-Lun Chao, and worked at Google Research before joining Apple's AI/ML group. His Apple research includes CLOC; he also coauthored Apple's 2025 foundation language model report. As of October 2026, he works at Reflection AI after roles at Apple and Meta.

Timeline

  1. 2018–2023

    A PhD at Ohio State

    He visits Carnegie Mellon's Machine Learning Department in 2018 and earns a PhD in computer science and engineering at Ohio State in 2023, advised by Wei-Lun Chao. During his PhD, he studies practical deep learning, including federated learning and personalization.

  2. 2020

    FedBE and a workshop award

    In 2020, he coauthors FedBE, a Bayesian ensemble algorithm for aggregating local models into a global model. He receives the best student paper award at NeurIPS's 2020 Workshop on Scalability, Privacy, and Security in Federated Learning.

  3. 2020–2023

    Google and Microsoft research

    He interns at Google Ads in 2020 and Google Research in 2021, then works as a student researcher at Google Research in 2022. In 2023, he interns at Microsoft Research & Security and coauthors the CVPR paper Train-Once-for-All Personalization; TAPER adapts vision models to users' task descriptions.

  4. 2021

    Federated Robust Decoupling

    In 2021, he and Wei-Lun Chao introduce Federated Robust Decoupling (Fed-RoD), which uses a shared model for generic prediction and a lightweight predictor for each client.

  5. December 2023–February 2025

    Machine learning at Apple

    He joins Apple AI/ML in Seattle in December 2023 and leaves in February 2025. While at Apple, he coauthors CLOC, a 2025 ICML paper that improves CLIP localization through region-text contrastive loss and promptable embeddings.

  6. 2025

    Apple Intelligence foundation models

    In July 2025, he coauthors Apple Intelligence Foundation Language Models: Tech Report, which describes one on-device model and one server model for Apple Intelligence.

  7. As of October 2026

    Researcher at Reflection AI

    He joins Meta AI as an AI research scientist in February 2025, then works as a researcher at Reflection AI after his roles at Apple and Meta.

  1. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI from 1961 to 2025, with a year-by-year chart.
  2. The United States employs an estimated 53% of people in our data with a known employment countryOur estimates of where AI careers are concentrated now and how countries’ shares of dated positions changed over time.
  3. 46% of living people in our data with known birth and employment countries work outside their birth countryOur estimate of cross-border careers in AI, from country of birth and the country of each current organization.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionOur estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.

Sources and credits

Photo: We have no published photo of Hong-You Chen yet. Send us a free-licensed photo.

  1. Hong-You Chen sites.google.com. Checked 19 October 2026.
  2. FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning arxiv.org. Checked 19 October 2026.
  3. CVPR 2023 Open Access Repository openaccess.thecvf.com. Checked 19 October 2026.
  4. On Bridging Generic and Personalized Federated Learning for Image Classification arxiv.org. Checked 19 October 2026.
  5. Contrastive Localized Language-Image Pre-Training - Apple Machine Learning Research machinelearning.apple.com. Checked 19 October 2026.
  6. Apple Intelligence Foundation Language Models: Tech Report 2025 arxiv.org. Checked 19 October 2026.
  7. Group members sites.google.com. Checked 19 October 2026.