Huangjie Zheng 郑煌杰

I am a Research Scientist at Apple Machine Learning Research, led by Samy Bengio. My research spans generative modeling and large language models: diffusion and flow-based models and their distillation into fast one-step generators, diffusion language models and efficient LLM decoding, and self-improvement of LLMs for code generation and reasoning. More broadly, I am interested in making generative models efficient, scalable and principled, drawing on probabilistic and Bayesian methods.

Before joining Apple, I received my PhD in Statistics and Data Sciences from the University of Texas at Austin, advised by Mingyuan Zhou. During my PhD I was a research intern at Microsoft Research, working with Pengcheng He, Weizhu Chen and Chunyuan Li, and at ByteDance AML, working with Jianbo Yuan, Quanzeng You, Guanghan Ning and Hongxia Yang.

I obtained my bachelor’s and master’s degrees from Shanghai Jiao Tong University, advised by Ya Zhang, through a Sino-French program that also took me to Télécom Paris. I was also a research intern at Johns Hopkins University with Lingxi Xie and Alan Yuille.