BIMK
Institute of
Bioinspired Intelligence and Mining Knowledge
Location:首页  Researchers  Teachers

许柯(讲师)

2021-11-24

许柯(讲师)

●电  话:18801312251

●E-mail:xuke@ahu.edu.cn

●实验室主页:bimk.ahu.edu.cn

●个人主页:https://ai.ahu.edu.cn/2021/1123/c19212a274716/page.htm

●Github:https://github.com/xuke225


主要研究方向:神经网络加速器设计,计算机视觉,神经网络压缩,神经网络架构搜索


Education Experience: 

2016.09 ~ 2021.09  北京交通大学   工学博士(硕博连读)

2012.09 ~ 2016.06  合肥工业大学   工学学士


Working Experience: 

  2021.11 ~ present  安徽大学 人工智能学院 讲师

  2015.11 ~ 2016.08  IBM 中国研究院(实习)


获奖情况:

  2018.07    全国计算机体系结构年会(ACA2018)会议获最佳海报奖

  2017.12     ICFPT 2017 会议获最佳设计奖


主要论著:

2021

  Ke Xu, Dezheng Zhang, Jianjing An, Li Liu, Lingzhi Liu, Dong Wang*. “GenExp: Multi-Objective Pruning for Deep Neural Network Based on Genetic Algorithm.” Neurocomputing, Volume 451, pp: 81-94, 2021. (SCI 中科院二区)

  Ke Xu, Xiaoyun Wang, Xinyang Liu, Changfeng Cao, Huolin Li, Haiyong Peng, Dong Wang*. “A Dedicated Hardware Accelerator for Real-time Acceleration of YOLOv2.” Journal of Real-Time Image Processing, Volume 18, pp: 481–492, 2021. (SCI 中科院三区)

  Lei Lang, Ke Xu, Qian Zhang, Dong Wang*. “Fast and Accurate Object Detection in Remote Sensing Images Based on Lightweight Deep Neural Network.” Sensors, Volume 21, no. 16, 2021. (SCI 中科院三区)

  Qiantai Feng, Ke Xu, Li Liu, Lingzhi Liu, Dong Wang*. “LOG-Pruning: Layer-Wise One-Level Global Pruning on Architecture Search.” PRCV 2021. 

  吕君环,许柯,王东*. “基于知识蒸馏的神经网络低比特量化方法.”模式识别与人工智能杂志 2021.(北大中文核心)

2020

  Dong Wang*(导师), Ke Xu, Jingning Guo, Soheil Ghiasi. “DSP-Efficient Hardware Acceleration of Convolutional Neural Network Inference on FPGAs.” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), Volume 39, no. 12, pp: 4867-4880, 2020.(CCF A 类推荐期刊,Oral)

  Zixiao Wang, Ke Xu, Shuaixiao Wu, Li Liu, Lingzhi Liu, Dong Wang*. “Sparse-YOLO: Hardware/Software Co-Design of an FPGA Accelerator for YOLOv2.” IEEE Access, Volume 8, pp: 116569-116585, 2020. (SCI 中科院二区)

  Dong Wang*(导师), Jia Xu, Ke Xu. “An FPGA-Based Hardware Accelerator for Real-Time Block-Matching and 3D Filtering.” IEEE Access, Volume 8, pp: 121987-121998, 2020. (SCI中科院二区)

2019

  Ke Xu, Xiaoyun Wang, Dong Wang*. “A Scalable OpenCL-Based FPGA Accelerator for YOLOv2.” IEEE 27th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM) pp: 317-317, 2019. (EI会议,FPGA领域顶会,CCF C 类会议)

  Dong Wang*(导师), Ke Xu, Qun Jia, Soheil Ghiasi. “ABM-SpConv: A Novel Approach to FPGA-Based Acceleration of ConvolutionaI NeuraI Network Inference.” Proceedings of the 56th Annual Design Automation Conference (DAC), pp:87 ,2019 (EI会议,CCF A 类会议)

2018

  Ke Xu, Xiaoyun Wang, Shihang Fu, Dong Wang*. “A Scalable FPGA Accelerator for Convolutional Neural Networks.” Advanced Computer Architecture - 12th Conference, (ACA), Volume 908, pp: 3-14, 2018. (EI会议,获最佳海报奖)

  Xiaoyun Wang, Ke Xu, Dong Wang*, “Accelerating block-matching and 3D filtering-based image denoising algorithm on FPGAs.” 14th IEEE International Conference on Signal Processing (ICSP), 2018 (EI会议)

2017

  Dong Wang(导师)Ke Xu*(通信作者), Diankun Jiang. “PipeCNN: An OpenCL-based Open-source FPGA Accelerator for Convolution Neural Networks.” 2017 International Conference on Field Programmable Technology (ICFPT), pp: 279-282, 2017. (EI会议,FPGA领域顶会,CCF C 类会议,获最佳设计奖)