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LOCP: Latency-optimized channel pruning for CNN inference acceleration on GPUs.

Y. Zhang, H. Jiang, Y. Zhu, R. Zhang, Y. Cao, C. Zhu, W. Wang, D. Dong, и X. Li. J. Supercomput., 79 (13): 14313-14341 (сентября 2023)

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Zhang Zhang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Yue Zhang

Ning Zhang

Gang Zhang

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LayTex: A Design Tool for Generating Customized Textile Sensor Layouts in Wearable Computing.Y. Zhang, N. Qu, R. Zhang, Y. Tao, G. Wang, и Q. Wang. UbiComp/ISWC Adjunct, стр. 63-67. ACM, (2023)LOCP: Latency-optimized channel pruning for CNN inference acceleration on GPUs.Y. Zhang, H. Jiang, Y. Zhu, R. Zhang, Y. Cao, C. Zhu, W. Wang, D. Dong, и X. Li. J. Supercomput., 79 (13): 14313-14341 (сентября 2023)SRQ: Self-Reference quantization scheme for lightweight neural network.X. Li, H. Jiang, S. Huang, F. Tian, R. Zhang, и D. Dong. DCC, стр. 349. IEEE, (2021)EmTex: Prototyping Textile-Based Interfaces through An Embroidered Construction Kit.Q. Wang, Y. Zeng, R. Zhang, N. Ye, L. Zhu, X. Sun, и T. Han. UIST, стр. 20:1-20:17. ACM, (2023)Xenos : Dataflow-Centric Optimization to Accelerate Model Inference on Edge Devices.R. Zhang, H. Jiang, F. Tian, J. Geng, X. Li, Y. Ma, C. Zhu, D. Dong, X. Li, и H. Wang. DASFAA (1), том 13943 из Lecture Notes in Computer Science, стр. 535-545. Springer, (2023)A Tailored Textile Sensor-based Wrap for Shoulder Complex Angles Monitoring.R. Zhang, Y. Hu, Y. He, S. Fang, B. Yu, X. Sun, и Q. Wang. UbiComp/ISWC Adjunct, стр. 137-141. ACM, (2023)Drug-Target Interaction Prediction Based on Interpretable Graph Transformer Model.B. Zhu, R. Zhang, T. Jiang, Z. Cui, и H. Wu. ICIC (3), том 14088 из Lecture Notes in Computer Science, стр. 676-686. Springer, (2023)Deep Learning-Based Prediction of Drug-Target Binding Affinities by Incorporating Local Structure of Protein.R. Zhang, B. Zhu, T. Jiang, Z. Cui, и H. Wu. ICIC (3), том 14088 из Lecture Notes in Computer Science, стр. 666-675. Springer, (2023)Virtflex: Automatic Adaptation to NUMA Topology Change for OpenMP Applications.R. Zhang, A. Cox, и S. Rixner. IWOMP, том 12295 из Lecture Notes in Computer Science, стр. 212-227. Springer, (2020)CNNBooster: Accelerating CNN Inference with Latency-aware Channel Pruning for GPU.Y. Zhu, H. Jiang, R. Zhang, Y. Zhang, и D. Dong. ISPA/BDCloud/SocialCom/SustainCom, стр. 355-362. IEEE, (2022)

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