World's Best Scientists 2026 revealed!
Guangyu Sun

Guangyu Sun

D-Index & Metrics

Computer Science

D-Index
39
Citations
9255
World Ranking
9572
National Ranking
1211

Overview

Guangyu Sun is affiliated with Peking University in China and has contributed extensively to the fields of computer science and engineering. Their research spans multiple subfields including artificial intelligence, computer vision and pattern recognition, electrical and electronic engineering, hardware and architecture, and computer networks and communications.

The scientist's work covers a variety of advanced topics such as advanced neural network applications, advanced memory and neural computing, ferroelectric and negative capacitance devices, parallel computing and optimization techniques, advanced image and video retrieval techniques, adversarial robustness in machine learning, and advanced graph neural networks.

Guangyu Sun has authored several papers, some of which include:

  • The Case for FPGA-Based Edge Computing, 2020, IEEE Transactions on Mobile Computing
  • Ultra-Short-Term Photovoltaic Power Prediction Based on Self-Attention Mechanism and Multi-Task Learning, 2020, IEEE Access
  • Energon: Toward Efficient Acceleration of Transformers Using Dynamic Sparse Attention, 2022, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • Single-cell analysis of gastric signet ring cell carcinoma reveals cytological and immune microenvironment features, 2023, Nature Communications
  • An 82nW 0.53pJ/SOP Clock-Free Spiking Neural Network with 40µs Latency for AloT Wake-Up Functions Using Ultimate-Event-Driven Bionic Architecture and Computing-in-Memory Technique, 2022, 2022 IEEE International Solid-State Circuits Conference (ISSCC)

Frequent co-authors collaborating with Guangyu Sun include Zhihang Yuan, Chenhao Xue, Bingzhe Wu, Yiqi Chen, and Guojie Luo.

The scientist's research has appeared in numerous publication venues, with repeat contributions in:

  • arXiv (Cornell University)
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • IEEE Transactions on Computers
  • Journal of Computer Science and Technology
  • Research Square (Research Square)

The distribution of Guangyu Sun's work shows an emphasis on both theoretical and applied aspects of computer science and engineering fields with a significant focus on neural networks, hardware acceleration, and computational intelligence.

Best Publications

  • Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks

    Chen Zhang;Peng Li;Guangyu Sun;Yijin Guan

  • Caffeine: Toward Uniformed Representation and Acceleration for Deep Convolutional Neural Networks

    Chen Zhang;Guangyu Sun;Zhenman Fang;Peipei Zhou

  • A novel architecture of the 3D stacked MRAM L2 cache for CMPs

    Guangyu Sun;Xiangyu Dong;Yuan Xie;Jian Li

  • Circuit and microarchitecture evaluation of 3D stacking magnetic RAM (MRAM) as a universal memory replacement

    Xiangyu Dong;Xiaoxia Wu;Guangyu Sun;Yuan Xie

  • FP-DNN: An Automated Framework for Mapping Deep Neural Networks onto FPGAs with RTL-HLS Hybrid Templates

    Yijin Guan;Hao Liang;Ningyi Xu;Wenqiang Wang

  • An efficient design and implementation of LSM-tree based key-value store on open-channel SSD

    Peng Wang;Guangyu Sun;Song Jiang;Jian Ouyang

  • Energy-Efficient CNN Implementation on a Deeply Pipelined FPGA Cluster

    Chen Zhang;Di Wu;Jiayu Sun;Guangyu Sun

  • Emerging non-volatile memories: opportunities and challenges

    Chun Jason Xue;Guangyu Sun;Youtao Zhang;J. Joshua Yang

  • FPGA-based accelerator for long short-term memory recurrent neural networks

    Yijin Guan;Zhihang Yuan;Guangyu Sun;Jason Cong

  • Energy- and endurance-aware design of phase change memory caches

    Yongsoo Joo;Dimin Niu;Xiangyu Dong;Guangyu Sun

  • A Hybrid solid-state storage architecture for the performance, energy consumption, and lifetime improvement

    Guangyu Sun;Yongsoo Joo;Yibo Chen;Dimin Niu

  • GraphH: A Processing-in-Memory Architecture for Large-Scale Graph Processing

    Guohao Dai;Tianhao Huang;Yuze Chi;Jishen Zhao

  • Joint Task Assignment, Transmission, and Computing Resource Allocation in Multilayer Mobile Edge Computing Systems

    Pengfei Wang;Chao Yao;Zijie Zheng;Guangyu Sun

  • Coordinated static and dynamic cache bypassing for GPUs

    Xiaolong Xie;Yun Liang;Yu Wang;Guangyu Sun

  • Adaptive placement and migration policy for an STT-RAM-based hybrid cache

    Zhe Wang;Daniel A. Jimenez;Cong Xu;Guangyu Sun

  • Half-DRAM: a high-bandwidth and low-power DRAM architecture from the rethinking of fine-grained activation

    Tao Zhang;Ke Chen;Cong Xu;Guangyu Sun

  • Atlas: Baidu's key-value storage system for cloud data

    Chunbo Lai;Song Jiang;Liqiong Yang;Shiding Lin

  • Architecting on-chip interconnects for stacked 3D STT-RAM caches in CMPs

    Asit K. Mishra;Xiangyu Dong;Guangyu Sun;Yuan Xie

  • Multi-level cell STT-RAM: is it realistic or just a dream?

    Yaojun Zhang;Lu Zhang;Wujie Wen;Guangyu Sun

  • An efficient compiler framework for cache bypassing on GPUs

    Xiaolong Xie;Yun Liang;Guangyu Sun;Deming Chen

Frequent Co-Authors

Yuan Xie
Yuan Xie Hong Kong University of Science and Technology
Jason Cong
Jason Cong University of California, Los Angeles
Yun Liang
Yun Liang Peking University
Hai Li
Hai Li Duke University
Weisheng Zhao
Weisheng Zhao Beihang University
Yongpan Liu
Yongpan Liu Tsinghua University
Huazhong Yang
Huazhong Yang Tsinghua University
Chaochao Chen
Chaochao Chen Zhejiang University
Jacques-Olivier Klein
Jacques-Olivier Klein University of Paris-Saclay
Suman Datta
Suman Datta Georgia Institute of Technology

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