I build AI that makes people's workdays easier and their personal lives more creative.
Currently, I drive post-training efforts for Microsoft 365 Copilot: post-training OpenAI models to synergize better with Microsoft's tools, applications, and ecosystem, with a focus on enterprise and workplace scenarios.
Previously, I drove innovation at Samsung Research, prototyping advanced AI features for the next generation of smartphones, spanning everything from core productivity to digital entertainment.
I completed my PhD at KU Leuven in Belgium under Prof. Matthew Blaschko, contributing to many domains in AI, including image generation models, large language models, distributed learning and privacy-preserving machine learning. Before that, I earned my Master's degree from the Karlsruhe Institute of Technology in Germany, using AI to solve control and perception tasks of autonomous driving.
News
May 17, 2026Our paper "GraTAG: Production AI Search via Graph-Based Query Decomposition and Triplet Aligned Generation with Rich Multimodal Representations" has been accepted to the KDD Industry Track. A link to the paper will be available soon.
Sep 14, 2025I am honored to serve as an Area Chair for CVPR 2026. I look forward to contributing to the community and supporting the review process in this role.
Selected publications
Jigsaw-R1: A Study of Rule-based Visual Reinforcement Learning with Jigsaw Puzzles
Z. Wang*, J. Zhu*, B. Tang*, Z. Li, F. Xiong, J. Yu, M. B. Blaschko
TMLR 2025* = Co-first authors paper ↗
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better
E. Liu*, J. Zhu*, Z. Lin, X. Ning, M. B. Blaschko, S. Yekhanin, S. Yan, G. Dai, H. Yang, Y. Wang
ICLR 2025* = Co-first authors paper ↗
Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction
J. Shi*, J. Zhu*, D. M. Pelt, K. J. Batenburg, M. B. Blaschko
TMLR 2024* = Co-first authors paper ↗
All publications →