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Faith: An Efficient Framework for Transformer Verification on GPUs


Sep 23, 2022
Boyuan Feng, Tianqi Tang, Yuke Wang, Zhaodong Chen, Zheng Wang, Shu Yang, Yuan Xie, Yufei Ding

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* Published in ATC'22 

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Empowering GNNs with Fine-grained Communication-Computation Pipelining on Multi-GPU Platforms


Sep 14, 2022
Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin Barker, Ang Li, Yufei Ding

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TC-GNN: Accelerating Sparse Graph Neural Network Computation Via Dense Tensor Core on GPUs


Dec 03, 2021
Yuke Wang, Boyuan Feng, Yufei Ding

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Towards Efficient Ansatz Architecture for Variational Quantum Algorithms


Nov 26, 2021
Anbang Wu, Gushu Li, Yuke Wang, Boyuan Feng, Yufei Ding, Yuan Xie

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APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores


Jun 23, 2021
Boyuan Feng, Yuke Wang, Tong Geng, Ang Li, Yufei Ding

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* Accepted by SC'21 

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DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions


Jan 04, 2021
Yuke Wang, Boyuan Feng, Yufei Ding

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Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks


Sep 22, 2020
Boyuan Feng, Yuke Wang, Zheng Wang, Yufei Ding

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Scalable Adversarial Attack on Graph Neural Networks with Alternating Direction Method of Multipliers


Sep 22, 2020
Boyuan Feng, Yuke Wang, Xu Li, Yufei Ding

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Optimizing Convolutional Neural Network Architecture via Information Field


Sep 11, 2020
Yuke Wang, Boyuan Feng, Xueqiao Peng, Yufei Ding

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SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization


Jul 09, 2020
Boyuan Feng, Yuke Wang, Xu Li, Shu Yang, Xueqiao Peng, Yufei Ding

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