Yanzhi Wang is Professor in the Department of Electrical and Computer Engineering and Computer Science at Northeastern University, a senior member of IEEE. His research interests focus on real-time and energy-efficient deep learning and artificial intelligence systems, especially on efficient large language models and large-scale generative AI systems. His research works have been published broadly in (i) machine learning conferences such as AAAI, CVPR, NeurIPS, ICML, ICCV, ICLR, IJCAI, ECCV, KDD, ICRA, ACM MM, ICDM, etc., (ii) architecture and system conferences such as ASPLOS, ISCA, MICRO, HPCA, CCS, VLDB, PLDI, WWW, ICS, PACT, CGO, IPDPS, INFOCOM, ICDCS, DAC, ICCAD, FPGA, FCCM, ISSCC, CICC, RTAS, RTSS, etc., and (iii) IEEE and ACM transactions. His research works have been cited over 26,500 times. He has received six Best Paper Awards and another 12 Best Paper Nominations. His research work has been reported and cited by around 500 media. He has 15 academic descendents as tenure-track faculty members at University of Minnesota, University of Massachusetts Amherst, University of Arizona, Michigan State University, University of Georgia, etc.