Ning Ding

Ning Ding is an Assistant Professor in the Department of Electronic Engineering at Tsinghua University. His research focuses on artificial intelligence, with a particular emphasis on the theories, algorithms, and systems behind general intelligence and domain-specific reasoning, as well as their applications in scientific discovery. He has published extensively in top-tier venues such as Nature Machine Intelligence, ICLR, NeurIPS, ICML, and ACL. His work has garnered over 7,000 citations on Google Scholar, and his open-source projects have received more than 25,000 stars on GitHub. He was selected for the China Association for Science and Technology’s Young Talent Support Program and has received numerous honors, including the ACL Best System Demonstration Paper Award, the World AI Conference Outstanding Young Paper Award, the Yunfan Award, the Best Paper Award at the China Computing Power Conference, Tsinghua University Outstanding Doctoral Dissertation Award, the Baidu Scholarship, and recognition as one of Stanford’s top 2% global scientists. He also proposed the data-driven Ultra alignment series and contributed to the PRIME algorithm, which integrates dense-reward reinforcement learning methods.

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