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All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management.

Y. Gong, Z. Zhan, P. Zhao, Y. Wu, C. Wu, C. Ding, W. Jiang, M. Qin, and Y. Wang. ICCAD, page 133:1-133:9. ACM, (2022)

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Minghai Qin

Qi Qin

Gang Qin

Minghao Qin

Qin Wang

Other publications of authors with the same name

Shfl-BW: accelerating deep neural network inference with tensor-core aware weight pruning.G. Huang, H. Li, M. Qin, F. Sun, Y. Ding, and Y. Xie. DAC, page 1153-1158. ACM, (2022)A Min-Max Optimization Framework for Multi-task Deep Neural Network Compression.J. Guo, H. Sun, M. Qin, H. Yu, and T. Zhang. ISCAS, page 1-5. IEEE, (2024)Improving Noise Tolerance of Hardware Accelerated Artificial Neural Networks.W. Ma, M. Qin, W. Choi, P. Chiu, and M. Lueker-Boden. ICMLA, page 797-801. IEEE, (2018)Noisy Computations during Inference: Harmful or Helpful?M. Qin, and D. Vucinic. CoRR, (2018)Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?X. Ma, G. Yuan, X. Shen, T. Chen, X. Chen, X. Chen, N. Liu, M. Qin, S. Liu, Z. Wang and 1 other author(s). NeurIPS, page 12749-12760. (2021)Pruning Parameterization with Bi-level Optimization for Efficient Semantic Segmentation on the Edge.C. Yang, P. Zhao, Y. Li, W. Niu, J. Guan, H. Tang, M. Qin, B. Ren, X. Lin, and Y. Wang. CVPR, page 15402-15412. IEEE, (2023)Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting.G. Li, J. Ji, M. Qin, W. Niu, B. Ren, F. Afghah, L. Guo, and X. Ma. CVPR, page 10259-10269. IEEE, (2023)SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning.Z. Kong, P. Dong, X. Ma, X. Meng, W. Niu, M. Sun, X. Shen, G. Yuan, B. Ren, H. Tang and 2 other author(s). ECCV (11), volume 13671 of Lecture Notes in Computer Science, page 620-640. Springer, (2022)Effective Model Sparsification by Scheduled Grow-and-Prune Methods.X. Ma, M. Qin, F. Sun, Z. Hou, K. Yuan, Y. Xu, Y. Wang, Y. Chen, R. Jin, and Y. Xie. ICLR, OpenReview.net, (2022)Condense: A Framework for Device and Frequency Adaptive Neural Network Models on the Edge.Y. Gong, P. Zhao, Z. Zhan, Y. Wu, C. Wu, Z. Kong, M. Qin, C. Ding, and Y. Wang. DAC, page 1-6. IEEE, (2023)

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Disambiguation of "Qin, Minghai"

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All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management.

Please choose a person to relate this publication to

Minghai Qin

Qi Qin

Gang Qin

Minghao Qin

Qin Wang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Qin, Minghai"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management.

Please choose a person to relate this publication to

Minghai Qin

Qi Qin

Gang Qin

Minghao Qin

Qin Wang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management.