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FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization

M. Sun, Z. Li, A. Lu, Y. Li, S. Chang, X. Ma, X. Lin, and Z. Fang. FPGA '22: The 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Virtual Event, USA, 27 February 2022 - 1 March 2022, page 134--145. ACM, (2022)
DOI: 10.1145/3490422.3502364

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Zhengang Li

Li Li

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HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers.P. Dong, M. Sun, A. Lu, Y. Xie, K. Liu, Z. Kong, X. Meng, Z. Li, X. Lin, Z. Fang and 1 other author(s). HPCA, page 442-455. IEEE, (2023)Post-Processing Network Based on Dense Inception Attention for Video Compression.H. Tao, J. Qian, L. Yu, H. Wang, W. Zhang, Z. Li, N. Wang, and X. Zeng. CVPR Workshops, page 547-551. Computer Vision Foundation / IEEE, (2020)Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI.G. Yuan, Z. Liao, X. Ma, Y. Cai, Z. Kong, X. Shen, J. Fu, Z. Li, C. Zhang, H. Peng and 4 other author(s). ISQED, page 135-141. IEEE, (2021)Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices.X. Shen, G. Yuan, W. Niu, X. Ma, J. Guan, Z. Li, B. Ren, and Y. Wang. IJCAI, page 5012-5015. ijcai.org, (2021)Dense Inception Attention Neural Network for In-Loop Filter.X. Xu, J. Qian, L. Yu, H. Wang, X. Zeng, Z. Li, and N. Wang. PCS, page 1-5. IEEE, (2019)6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration.Z. Li, G. Yuan, W. Niu, Y. Li, P. Zhao, Y. Cai, X. Shen, Z. Zhan, Z. Kong, Q. Jin and 6 other author(s). CoRR, (2020)BLCR: Towards Real-time DNN Execution with Block-based Reweighted Pruning.X. Ma, G. Yuan, Z. Li, Y. Gong, T. Zhang, W. Niu, Z. Zhan, P. Zhao, N. Liu, J. Tang and 3 other author(s). ISQED, page 1-8. IEEE, (2022)Invited: Algorithm-Software-Hardware Co-Design for Deep Learning Acceleration.Z. Li, Y. Xie, P. Dong, O. Chen, and Y. Wang. DAC, page 1-4. IEEE, (2023)A Privacy-Preserving DNN Pruning and Mobile Acceleration Framework.Z. Zhan, Y. Gong, Z. Li, P. Zhao, X. Ma, W. Niu, X. Xu, B. Ren, Y. Wang, and X. Lin. CoRR, (2020)A SOT-MRAM-based Processing-In-Memory Engine for Highly Compressed DNN Implementation.G. Yuan, X. Ma, S. Lin, Z. Li, and C. Ding. CoRR, (2019)

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Disambiguation of "Li, Zhengang"

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FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization

Please choose a person to relate this publication to

Zhengang Li

Li Li

Li Li

Li Li

Li Li

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Li, Zhengang"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization

Please choose a person to relate this publication to

Zhengang Li

Li Li

Li Li

Li Li

Li Li

Other publications of authors with the same name

Disambiguation

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FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization