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Towards Sparsification of Graph Neural Networks.

H. Peng, D. Gurevin, S. Huang, T. Geng, W. Jiang, O. Khan, and C. Ding. ICCD, page 272-279. IEEE, (2022)

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Hongwu Zhang

Changgeng Peng

Xiao-Wei Peng

Martin Peng

Guo Peng

Other publications of authors with the same name

Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads.T. Cai, Y. Li, Z. Geng, H. Peng, J. Lee, D. Chen, and T. Dao. CoRR, (2024)Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search.H. Peng, S. Chen, Z. Wang, J. Yang, S. Weitze, T. Geng, A. Li, J. Bi, M. Song, W. Jiang and 2 other author(s). CoRR, (2021)Binary Complex Neural Network Acceleration on FPGA.H. Peng, S. Zhou, S. Weitze, J. Li, S. Islam, T. Geng, A. Li, W. Zhang, M. Song, M. Xie and 2 other author(s). CoRR, (2021)Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate.C. Jin, T. Che, H. Peng, Y. Li, and M. Pavone. CoRR, (2024)RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference.H. Peng, S. Zhou, Y. Luo, N. Xu, S. Duan, R. Ran, J. Zhao, S. Huang, X. Xie, C. Wang and 4 other author(s). CoRR, (2023)Accelerating Framework of Transformer by Hardware Design and Model Compression Co-Optimization.P. Qi, E. Sha, Q. Zhuge, H. Peng, S. Huang, Z. Kong, Y. Song, and B. Li. ICCAD, page 1-9. IEEE, (2021)AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization.Y. Luo, N. Xu, H. Peng, C. Wang, S. Duan, K. Mahmood, W. Wen, C. Ding, and X. Xu. MICRO, page 628-640. ACM, (2023)Accommodating Transformer onto FPGA: Coupling the Balanced Model Compression and FPGA-Implementation Optimization.P. Qi, Y. Song, H. Peng, S. Huang, Q. Zhuge, and E. Sha. ACM Great Lakes Symposium on VLSI, page 163-168. ACM, (2021)Advanced Large Language Model (LLM)-Driven Verilog Development: Enhancing Power, Performance, and Area Optimization in Code Synthesis.K. Thorat, J. Zhao, Y. Liu, H. Peng, X. Xie, B. Lei, J. Zhang, and C. Ding. CoRR, (2023)MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training.H. Peng, X. Xie, K. Shivdikar, M. Hasan, J. Zhao, S. Huang, O. Khan, D. Kaeli, and C. Ding. ASPLOS (2), page 683-698. ACM, (2024)

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Disambiguation of "Peng, Hongwu"

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Towards Sparsification of Graph Neural Networks.

Please choose a person to relate this publication to

Hongwu Zhang

Changgeng Peng

Xiao-Wei Peng

Martin Peng

Guo Peng

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Peng, Hongwu"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Towards Sparsification of Graph Neural Networks.

Please choose a person to relate this publication to

Hongwu Zhang

Changgeng Peng

Xiao-Wei Peng

Martin Peng

Guo Peng

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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Towards Sparsification of Graph Neural Networks.