Resume
Academic Achievements
- - Oct 2022: Gave a keynote speak on "Towards Agile development of specialized processors" at the INTERNATIONAL WORKSHOP ON EDGE INTELLIGENT COMPUTING (EIC) 2022.
- - Aug 2022: Gave a talk on Cognitive Storage in the workshop of CCF CHIP 2022.
- - Jul 2022: Cangyuan won the third place in this year DAC SDC.
- - Feb 2022: Four papers are accepted by DAC2022.
- - Dec 2021: Named as a recipient of the IEEE/ACM Design Automation Conference Under-40 Innovators Award.
- - Jun 2021: Mengdi's work on multi-task learning accelerator was granted the best paper award (2nd place) of GLVLSI2021.
- - Mar 2021: Work on NAS acceleration processor was accepted by ISCA2021.
- - Feb 2021: Six papers were accepted by DAC2021.
- - Jul 2020: Three papers were accepted by ICCAD2020.
- - Nov 2019: Three papers were accepted by DATE2020.
- - 2019: Wen's work on Computing-in-Memory was elected as the sole best paper of ICCD2019.
- - 2018: Champions of 2018 DAC System Design Contest (GPU category).
Research Experience
- Leading the DeepBurning, Zhejiang big chips, MLC-CIM, ChipGPT, and LPCM Projects.
Background
- Professor at the Institute of Computing Technology, Chinese Academy of Sciences. Research interests primarily focus on reliable computer architecture and VLSI design, with an emphasis on memory systems, AI-driven processor chip design automation, and large scale integrated chips.