His research focuses on efficient deep learning, TinyML, embedded systems, and memory/storage systems. Wei-Chen has received several accolades for his work, including the MLSys Best Paper Award, the Best Poster Award at the NSF Athena AI Institute, the ACM/IEEE CODES+ISSS Best Paper Award, and the IEEE NVMSA Best Paper Award. In addition, he received first place (among 150 teams) in the flash consumption track of the ACM/IEEE TinyML Design Contest at ICCAD 2022. His research has received over 4,000 stars on GitHub, and his work "On-device training under 256KB memory" (MCUNetV3) was highlighted by the MIT homepage. He is the cofounder Eigen AI.