State Key Laboratory of Computer Architecture
Institute of Computing Technology
Chinese Academy of Sciences
Email: wangying2009 (at) ict (dot) ac (dot) cn
Research Interests: VLSI design, Memory System, Accelerator, Reliable Computer Architecture
I am an Associate Professor in State Key Laboratory of Computer Architecture at Institute of Computing Technology, Chinese Academy of Sciences. From 2011-2013, I was working with SAFARI group of Carnegie Mellon University (CMU) as an visiting researcher. At ICT and CMU, my research interests primarily focus on the area of reliable computer architecture and VLSI design, with an emphasis on memory systems, energy-efficient accelerators, and approximate/error-tolerant computing. I'm also leading the DeepBurning Project.
Three papers are accepted by ICCAD2020. The work of DeepBurning-GL, which is the first automated framework for GNN accelerator design, will be presented in Dec. 2020.
Four papers are accepted by DAC2020, congrats to Songyun, Yintao, Xiandong and Yongchen!
Our first ICLR paper got accepted, congrats to Xiandong! The best part is that it will be a great experience for us to explore the great continent of wild Africa!
Three papers are accepted by DATE2020. The interesting thing is that the paper "You Only Search Once: An Automated Framework for Fast DNN/Accelerator Co-design" actually proposed a novel NAS algorithm, which coincides with the idea of one contemporary work submitted to ICLR2020. However, we missed to claim the contribution due to the lack of backgrounds knowledge on AI algorithms :)
Wen's work on Computing-in-Memory has been elected as the sole best paper of ICCD2019.
Invited to give a talk on "A case of Agile development flow for edge AI processors" at ICTA2019, Chengdu.
We are the champions of 2018 DAC System Design Contest (GPU category), big congrats to Hao Lv! The source-code of the low-power object tracking solution will be released soon.
The first detailed architectural simulator for Processing-in-Memory is now released by Professor Yinhe Han's lab!!
Our AI-enabled RISC-V duo-core chip passed the final test! I will give a talk-A Tightly-coupled Light-Weight Neural Network Processing Units with RISC-V Core-at the 7th RISC-V Workshop, Milpitas, CA.
Two papers are accepted by ICCAD 2017.
Jan.10th 2017, I'm attending 2017 ASPDAC, Chiba, JP.
Two papers are accepted by DAC 2017.
Nov.7th-Nov.10th 2016, I'm attending 2016 International Conference On Computer Aided Design and giving a talk at Austin,TX.
We are the champions of this year Low-Power Image Recognition Challenge (LPIRC) 2016!
Jun.5th-Jun.10th 2016, we are attending the 53nd IEEE/ACM Design Automation Conference and giving three presentations at Austin, TX.
Three papers are accepted as regular and one paper is accepted as WIP poster by DAC 2016, Congrats to Lili and Bosheng.
One paper is accepted by DATE 2016
Giving a talk on machine learning accelerator generation at Jiangnan Institute of Computing Technology, Wuxi.
Our work on memory security and 3D NoC is presented at ATS 2015, Mumbai, India.
Jun.7th-Jun.14th 2015, I'm attending 52nd IEEE/ACM Design Automation Conference and giving three presentations at San Francisco.
Jun.6th-Jun.6th 2015, I'm attending Chinasys 2015 and giving a talk on "Computational Memory Architecture" at Xiamen.
Phd candidates and Post-doc Vacancies for self-motivated CS/EE students/graduates to participate in the following research projects: Approximate computing based on neural networks; Deep learning acceleration for embedded devices; Energy-efficient and resilient memory hierarchy.
2017 CCF-Intel Young Faculty Researcher Program ，YFRP（CCF –Intel青年学者提升项目）
2017 CAST/CCF Young Talent Development Program Awardee （中国科协青年人才托举计划）
2016 Outstanding Faculty Award in Institute of Computing Technology, CAS
2015 Outstanding Faculty Award in Institute of Computing Technology, CAS
2016 Fall, Fundamentals of Digital Circuit Design (B62003H 数字电路), Undergraduate Course, University of Chinese Academy of Sciences (UCAS)