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Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization.

Z. Li, M. Sun, A. Lu, H. Ma, G. Yuan, Y. Xie, H. Tang, Y. Li, M. Leeser, Z. Wang, X. Lin, and Z. Fang. FPL, page 109-116. IEEE, (2022)

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Zhengang Li

Li Li

Other publications of authors with the same name

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)GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight Sparsity.W. Niu, Z. Li, X. Ma, P. Dong, G. Zhou, X. Qian, X. Lin, Y. Wang, and B. Ren. CoRR, (2021)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)RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition.P. Dong, S. Wang, W. Niu, C. Zhang, S. Lin, Z. Li, Y. Gong, B. Ren, X. Lin, Y. Wang and 1 other author(s). CoRR, (2020)Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration.Y. Gong, G. Yuan, Z. Zhan, W. Niu, Z. Li, P. Zhao, Y. Cai, S. Liu, B. Ren, X. Lin and 2 other author(s). ACM Trans. Design Autom. Electr. Syst., 27 (5): 47:1-47:26 (2022)Chromosome-level Genomes Reveal the Genetic Basis of Descending Dysploidy and Sex Determination in Morus Plants.Z. Xia, X. Dai, W. Fan, C. Liu, M. Zhang, P. Bian, Y. Zhou, L. Li, B. Zhu, S. Liu and 6 other author(s). Genom. Proteom. Bioinform., 20 (6): 1119-1137 (December 2022)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). CoRR, (2022)Highly Sensitive Sphere-Tube Coupled Photoacoustic Cell Suitable for Detection of a Variety of Trace Gases: NO2 as an Example.Z. Li, G. Si, Z. Ning, J. Liu, Y. Fang, B. Si, Z. Cheng, and C. Yang. Sensors, 22 (1): 281 (2022)

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Disambiguation of "Li, Zhengang"

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Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme 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 Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme 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

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization.