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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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Biologically Inspired Dynamic Thresholds for Spiking Neural Networks


Jun 09, 2022
Jianchuan Ding, Bo Dong, Felix Heide, Yufei Ding, Yunduo Zhou, Baocai Yin, Xin Yang

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Dynamic N:M Fine-grained Structured Sparse Attention Mechanism


Feb 28, 2022
Zhaodong Chen, Yuying Quan, Zheng Qu, Liu Liu, Yufei Ding, Yuan Xie

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Attacking Point Cloud Segmentation with Color-only Perturbation


Dec 18, 2021
Jiacen Xu, Zhe Zhou, Boyuan Feng, Yufei Ding, Zhou Li

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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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Mitigating Noise-Induced Gradient Vanishing in Variational Quantum Algorithm Training


Nov 25, 2021
Anbang Wu, Gushu Li, Yufei Ding, Yuan Xie

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Transformer Acceleration with Dynamic Sparse Attention


Oct 21, 2021
Liu Liu, Zheng Qu, Zhaodong Chen, Yufei Ding, Yuan Xie

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Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective


Oct 18, 2021
Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie, Yu Wang

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