agentic learning
ai lab
design

Frank (Zequan) Wu

Visiting Researcher

Frank (Zequan) Wu is a visiting researcher and an Algorithm Engineer. He previously graduated with a joint bachelor degree in Computer Science and Mathematics from NYU, where he worked with Prof. Mengye Ren on the Forward-Forward Algorithm. His primary interests lie in exploring new, emerging paradigms to train deep neural networks. Recently, his work has focused on localized learning and reinforcement learning.

Frank (Zequan) Wu's Papers