Author:
Liu Zhiqiang,Dou Yong,Jiang Jingfei,Wang Qiang,Chow Paul
Cited by
25 articles.
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1. WinTA: An Efficient Reconfigurable CNN Training Accelerator With Decomposition Winograd;IEEE Transactions on Circuits and Systems I: Regular Papers;2024-02
2. Efficient N:M Sparse DNN Training Using Algorithm, Architecture, and Dataflow Co-Design;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2024-02
3. BOOST: Block Minifloat-Based On-Device CNN Training Accelerator with Transfer Learning;2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD);2023-10-28
4. FPGA architecture for convolutional neural network training;Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023);2023-10-10
5. Efficient Hardware and Software Design for On-device Learning;Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing;2023-10-10