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Id VisitTime IPAddress Area
20281765 2018-02-21 54.167.75.28 美国
20259823 2018-02-21 213.180.203.26 俄罗斯
20256230 2018-02-20 106.11.153.250 亚太地区
20251049 2018-02-20 106.11.155.228 亚太地区
20215289 2018-02-19 40.77.167.99 美国
20198494 2018-02-19 123.191.116.79 辽宁省沈阳市
20187247 2018-02-18 203.208.60.175 北京市
20178940 2018-02-18 123.123.219.59 北京市
20142513 2018-02-16 106.11.153.250 亚太地区
20135401 2018-02-16 207.46.13.103 美国
20125916 2018-02-15 203.208.60.177 北京市
20092132 2018-02-14 123.191.97.78 辽宁省沈阳市
20089425 2018-02-14 123.191.97.78 辽宁省沈阳市
20047443 2018-02-12 106.11.157.249 亚太地区
20037433 2018-02-12 106.11.157.249 亚太地区

Profile

Kejie Huang received the B.Sc degree and M.Eng degree from the College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China, in 2003 and 2006, respectively, and the Ph.D degree from the Department of Electrical Engineering, National University of Singapore, Singapore, in 2014. He was working in Samsung Semiconductor, GalaxyCore, Xilinx Singpaore, A*STAR and SUTD from 2006 to 2016. Since Oct 2016, he has been a Principal Investigator with the College of Information Science and Electronic Engineering, Zhejiang University. He has authored or co-authored 20 scientific papers in international peer-reviewed journals and conference proceedings. He holds four granted international patents, and another three patent applications. He is the reviewer of many international journals such as IEEE TCAS, TVLSI, EDL.

Research work

Energy consumption in general computing environment, such as home electronics, data centre, internet of things, artificial intelligence, etc., has been one of the most critical issues. The key underlying problem is that the memory and the processing unit are separated in the conventional Von Neumann system. New computing systems are under focused development to meet the rapidly growing demands of low power, high computing power and intelligent systems. Technological advancements are the major propellant for architectural innovations. The recent resistive non-volatile memory technologies open a new paradigm of the computing system and may revolutionize the computer architecture in near future. My research interests, including but not limited to: 1. Emerging resistive non-volatile memory (PCM, RRAM, etc.) array design 2. Low power circuits and system design with the emerging technologies 3. Neuromorphic computing chip design 4. Deep learning software and hardware development

Contact

Phone:0571 87951754
E-mail:huangkejie@zju.edu.cn