科研成果 |
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Xizi Chen (通讯作者), Jingyang Zhu, Jingbo Jiang, Chi-Ying Tsui. Tight Compression: Compressing CNN Through Fine-Grained Pruning and Weight Permutation for Efficient Implementation. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2022, accepted. （中国计算机学会 CCF-A 类）
Xizi Chen (通讯作者), Jingyang Zhu, Jingbo Jiang, Chi-Ying Tsui. Tight Compression: Compressing CNN Model Tightly Through Unstructured Pruning and Simulated Annealing Based Permutation. 57th Design Automation Conference (DAC), San Francisco, USA. July 20-24, 2020, 1-6. （中国计算机学会 CCF-A 类）
Xizi Chen (通讯作者), Jingyang Zhu, Jingbo Jiang, Chi-Ying Tsui. CompRRAE: RRAM-Based Convolutional Neural Network Accelerator with Reduced Computations Through a Runtime Activation Estimation. 24th Asia and South Pacific Design Automation Conference (ASP-DAC), Tokyo, Japan. Jan 21-24, 2019, 133-139. （中国计算机学会 CCF-C 类） Xizi Chen (通讯作者), Jingbo Jiang, Jingyang Zhu, Chi-Ying Tsui. SubMac: Exploiting the Subword-Based Computation in RRAM-Based CNN Accelerator for Energy Saving and Speedup. Integration, the VLSI Journal, 2019, 69: 356-368. （中国计算机学会 CCF-C 类）
Xizi Chen (通讯作者), Jingbo Jiang, Jingyang Zhu, Chi-Ying Tsui. A High-Throughput and Energy-Efficient RRAM-Based Convolutional Neural Network Using Data Encoding and Dynamic Quantization. 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), Jeju, Korea. Jan 22-25, 2018, 123-128. （中国计算机学会 CCF-C 类）
Jingyang Zhu (通讯作者), Jingbo Jiang, Xizi Chen, Chi-Ying Tsui. SparseNN: An Energy-Efficient Neural Network Accelerator Exploiting Input and Output Sparsity. Design, Automation and Test in Europe Conference and Exhibition (DATE), Dresden, Germany. March 19-23, 2018, 241-244. （中国计算机学会 CCF-B 类）
Jingbo Jiang (通讯作者), Xizi Chen, and Chi-Ying Tsui. A Reconfigurable Winograd CNN Accelerator with Nesting Decomposition Algorithm for Computing Convolution with Large Filters. arXiv:2102.13272. Under Review. |
