I am currently interested at building intelligent and robust system for artificial intelligence. I believe the virtuous cycle of algorithm-software-hardware is the key to enable next-generation AI technology in practice. This is the golden age to conduct research on computer architecture and system. I am looking for self-motivated students who would like to conduct high-quality research in building efficient and reliable systems for deep learning. Please send me an email if you are interested at working with me.
Email: leng-jw at sjtu dot edu dot cn
Project "Robust and Efficient System Architecture for AI Applications with Effective Path" is funded by MSRA.
I am co-teaching graduate course Advanced Computer Architecture. The course information can be found here.
Project "Asymmetric Resilience for Reliable Accelerator-Rich Systems" is funded NSFC.
I am teaching EE 204 Embedded System Principle and Practice (嵌入式系统原理与实验) in the spring 2018. The course information can be found here.
I am looking for self-motivated graduate students as well as undergrads who are interested in conducting high-quality research in building efficient and reliable systems for deep learning.
Ph.D., The University of Texas at Austin, 2012 - 2016
M.S., The University of Texas at Austin, 2010 - 2012
B.S., Shanghai Jiao Tong Univerisity, 2006 - 2010
IBM T.J. Watson Research Center, Research Intern, March 2015 - December 2016
SRI International, Research Intern, Summer 2013
Samsung Austin Research and Development Center, Summer Intern, Summer 2011