Researcher @ Huawei 2012 Network Technique Lab, Email: zhou.zhe@pku.edu.cn [CV] [Google Scholar] [GitHub]

About me

I obtained a PhD. degree in 2024 at Peking University under the supervision of Dr. Guangyu Sun.
Before that, I received the B.S. degree also from Peking University. My research interests primarily lie in the areas of computer architecture, near-data processing, domain-specific accelerators, deep learning systems, and interconnect techniques. I pay particular attention to addressing the Memory Wall and Communication Wall problems. Through my work, I have published as the first author in top-tier computer architecture/system conferences/journals including HPCA (Won the Best Paper Award), MICRO, USENIX ATC, DAC, PACT and TCAD.

Research Interests

• Domain-Specific Architecture

• Scale UP/Out Techniques

• Near-Data Processing

• Machine Learning System

Selected Publications

• NeoMem: Hardware/Software Co-Design for CXL-Native Memory Tiering.
  Zhe Zhou(1), Yiqi Chen(1), Tao Zhang, Yang Wang, Ran Shu, Shuotao Xu, Peng Cheng, Lei Qu, Jie Zhang Yongqiang Xiong, Guangyu Sun.
  MICRO 2024

• DIMM-Link: Enabling Efficient Inter-DIMM Communication for Near-Memory Processing.
  Zhe Zhou(1), Cong Li(1), Fan Yang, Guangyu Sun.
  International Symposium on High- Performance Computer Architecture (HPCA), 2023. (Best Paper Award!)

• PetS: A Unified Framework for Parameter-Efficient Transformers Serving.
  Zhe Zhou, Xuechao Wei, Jiejing Zhang, Guangyu Sun.
  USENIX Annual Technical Conference (USENIX ATC), 2022. Acceptance rate: 16%.

• GNNear: Accelerating Full-Batch Training of Graph Neural Networks with Near-Memory Processing.
  Zhe Zhou, Cong Li, XueChao Wei, Guangyu Sun.
  International Conference on Parallel Architectures and Compilation Techniques (PACT), 2022.

• Energon: Towards Efficient Acceleration of Transformers Using Dynamic Sparse Attention
  Zhe Zhou, Junlin Liu, Guangyu Sun, and Zhenyu Gu.
  IEEE Transactions on Computer Aided Design of Integrated Circuits & Systems (TCAD), 2022.

• BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices
  Zhe Zhou, Bizhao Shi, Zhe Zhang, Guangyu Sun, and Guojie Luo.
  Design Automation Conference , (DAC), 2021. Acceptance rate: 23%

• NMExplorer: An Efficient Exploration Framework for DIMM-based Near-Memory Tensor Reduction. (To Appear~)
  Cong Li, Zhe Zhou, Xingchen Li, Dimin Niu, Guangyu Sun.
  Design Automation Conference (DAC), 2023.

• PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization.
  Cong Li, Zhe Zhou, Yang Wang, Fan Yang, Ting Cao, Mao Yang, Yun Liang, Guangyu Sun.
  Accepted by ASPLOS 2024

• SpecPIM: SpecPIM: Accelerating Speculative Inference on PIM-Enabled System via Architecture-Dataflow Co-Exploration.
  Cong Li, Zhe Zhou, Size Zheng, Jiaxi Zhang, Yun Liang, Guangyu Sun.
  Accepted by ASPLOS 2024

• FD-CNN: A Frequency-Domain FPGA Acceleration Scheme for CNN-based Image Processing Applications.
  Xiaoyang wang (1), Zhe Zhou (1), Zhihang Yuan et al.
  ACM Transactions on Embedded Computing Systems (TECS), 2022.

• Hardware-Assistedservice Live Migration in Resource-Limited Edge Computing Systems.
  Zhe Zhou, Xintong Li, Xiaoyang Wang, Zheng Liang, Guangyu Sun, and Guojie Luo.
  Design Automation Conference , (DAC), 2020. Acceptance rate: 22%.

Honors and Awards

• 2025: Outstanding Doctoral Dissertation Award, ACM ChinaSys / ACM ChinaSys优博 (3 positions)

• 2024: Outstanding Doctoral Dissertation Award of Computer Department / 北京大学计算机学院优博 (10 positions)

• 2023: HPCA Best Paper Award / HPCA 最佳论文奖 (2 positions)

• 2023: President Award of Peking University / 北京大学校长奖学金 (top 2%)

• 2023: Award of Excellence, Stars of Tomorrow Intership Program / 微软亚研院“明日之星”优秀实习生奖 (top 10%)

• 2022: ByteDance Scholarship / 字节跳动奖学金 (10 students in China)

• 2022: China National Scholarship / 博士生国家奖学金 (top 2%)

• 2022: Academic Innovation Award of Peking University / 北京大学科研创新奖 (top 1%)

• 2021: Merit Student of Peking University / 北京大学三好学生

• 2016: Excellent Social Work Award of Peking University / 北京大学社会工作奖

Industrial Experience

• Huawei 2012 (Network Technique Lab)

  Researcher. July 2024-

• Microsoft Research Asia (Networking Research Group)

  Research Intern. Aug 2022- May 2023

• Alibaba DAMO Academy (Machine Intelligence Laboratory)

  Research Intern. May 2021-Jan 2022

• Alibaba DAMO Academy (T-HEAD Semiconductor)

  Research Intern. July 2020-January 2021

• Advanced Institute of Information Technology (Real-Time Computing Laboratory)

  Research Intern. April 2019-April 2020