Author of the publication

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

Achieving Real-Time Execution of Transformer-based Large-scale Models on Mobile with Compiler-aware Neural Architecture Optimization.

W. Niu, Z. Kong, G. Yuan, W. Jiang, J. Guan, C. Ding, P. Zhao, S. Liu, B. Ren, and Y. Wang. CoRR, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Klaus Geng

Hui Geng

Hong Geng

Xiaoyun Geng

Geng Lai

Other publications of authors with the same name

An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning.C. Zhang, G. Yuan, W. Niu, J. Tian, S. Jin, D. Zhuang, Z. Jiang, Y. Wang, B. Ren, S. Song and 1 other author(s). 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)Memristor crossbar-based ultra-efficient next-generation baseband processors.G. Yuan, C. Ding, R. Cai, X. Ma, Z. Zhao, A. Ren, B. Yuan, and Y. Wang. MWSCAS, page 1121-1124. IEEE, (2017)ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training.S. Chang, G. Yuan, A. Lu, M. Sun, Y. Li, X. Ma, Z. Li, Y. Xie, M. Qin, X. Lin and 2 other author(s). DATE, page 1-6. IEEE, (2023)Achieving Real-Time Execution of Transformer-based Large-scale Models on Mobile with Compiler-aware Neural Architecture Optimization.W. Niu, Z. Kong, G. Yuan, W. Jiang, J. Guan, C. Ding, P. Zhao, S. Liu, B. Ren, and Y. Wang. CoRR, (2020)A Life-Cycle Energy and Inventory Analysis of Adiabatic Quantum-Flux-Parametron Circuits.M. Zabihi, Y. Xie, Z. Li, P. Dong, G. Yuan, O. Chen, M. Pedram, and Y. Wang. CoRR, (2023)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 and 2 other author(s). FPL, page 109-116. IEEE, (2022)YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design.Y. Cai, H. Li, G. Yuan, W. Niu, Y. Li, X. Tang, B. Ren, and Y. Wang. AAAI, page 955-963. AAAI Press, (2021)Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training.Z. Kong, H. Ma, G. Yuan, M. Sun, Y. Xie, P. Dong, X. Meng, X. Shen, H. Tang, M. Qin and 5 other author(s). AAAI, page 8360-8368. AAAI Press, (2023)Towards Real-Time Segmentation on the Edge.Y. Li, C. Yang, P. Zhao, G. Yuan, W. Niu, J. Guan, H. Tang, M. Qin, Q. Jin, B. Ren and 2 other author(s). AAAI, page 1468-1476. AAAI Press, (2023)

BibSonomy

Disambiguation of "Yuan, Geng"

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

Achieving Real-Time Execution of Transformer-based Large-scale Models on Mobile with Compiler-aware Neural Architecture Optimization.

Please choose a person to relate this publication to

Klaus Geng

Hui Geng

Hong Geng

Xiaoyun Geng

Geng Lai

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Yuan, Geng"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Achieving Real-Time Execution of Transformer-based Large-scale Models on Mobile with Compiler-aware Neural Architecture Optimization.

Please choose a person to relate this publication to

Klaus Geng

Hui Geng

Hong Geng

Xiaoyun Geng

Geng Lai

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
Harvard
MSOffice XML

Achieving Real-Time Execution of Transformer-based Large-scale Models on Mobile with Compiler-aware Neural Architecture Optimization.