Jaehoon Yu

About

Jaehoon Yu is an Associate Professor at the Tokyo Institute of Technology in Japan. His research focuses on advanced neural network architectures, inference acceleration, and energy-efficient computation methods, as reflected in his recent publications. Some of his work includes exploring holistic co-design approaches for ultra-compact neural inference acceleration and developing Class DNN accelerators with adjustable bit precision. His contributions also include efforts to improve collaborative inference systems and optimize FPGA programmability for enhanced energy efficiency.