Lead co-author for GPUWattch, a widely used open-sourced GPU power model; Project 'Robust and Efficient System Architecture for AI Applications with Effective Path' funded by MSRA; Project 'Asymmetric Resilience for Reliable Accelerator-Rich Systems' funded by NSFC
Research Experience
Research Intern, IBM T.J. Watson Research Center, March 2015 - December 2016; Research Intern, SRI International, Summer 2013; Summer Intern, Samsung Austin R&D Center, Summer 2011
Education
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 University, 2006 - 2010
Background
Professor in John Hopcroft Computer Science Center and Computer Science and Engineering Department at Shanghai Jiao Tong University. Research interests include building intelligent and robust systems for artificial intelligence, believing that the virtuous cycle of algorithm-software-hardware is key to enabling next-generation AI technology.
Miscellany
Office: Building No.1, Software School, Minhang Campus; Lab (Mostly): Room 119, Building No.3, Telecommunication Group, Minhang Campus; Email: leng-jw@sjtu.edu.cn