Summary
Minheng Ni is a Ph.D. candidate and research intern at Microsoft Generative AI with eight years of experience bridging multimodal AI research and real-world product impact. He has authored 14 papers in top venues (ICLR, CVPR, ACL) and spent four years at Microsoft Research Asia working on LLMs, diffusion models, evaluation, interpretability, and deployment across Azure and Bing. At PolyU he combines teaching and doctoral research in multimodality while exploring responsible AI, and he helped shape cross-domain ML initiatives that influenced product strategy. A former NOI Bronze Prize winner with a BE from Harbin Institute of Technology, he blends competitive algorithmic roots with applied generative-AI engineering and a growing interest in AI ethics and governance.
8 years of coding experience
Doctor of Philosophy - PhD, Computer Science, 3.7/4.0, Doctor of Philosophy - PhD, Computer Science, 3.7/4.0 at The Hong Kong Polytechnic University
Bachelor of Engineering - BE, Computer Science, 3.8/4.0, Bachelor of Engineering - BE, Computer Science, 3.8/4.0 at Harbin Institute of Technology
Chinese, English