Guangyu Sun

发表

P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification

Bingzhe Wu, Guangyu Sun, Zhong Su, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Energon: Toward Efficient Acceleration of Transformers Using Dynamic Sparse Attention

Guangyu Sun, Zhe Zhou, Junling Liu, 2021, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection

Yatao Bian, Zibin Zheng, Junzhou Huang, 2022, ArXiv.

S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search

Bingzhe Wu, Shiwan Zhao, Guangyu Sun, 2019, ECCV.

GNNSampler: Bridging the Gap between Sampling Algorithms of GNN and Hardware

Guangyu Sun, Dongrui Fan, Xin Liu, 2021, ECML/PKDD.

Flatfish: A Reinforcement Learning Approach for Application-Aware Address Mapping

Tao Zhang, Dimin Niu, Guangyu Sun, 2022, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

SRPGAN: Perceptual Generative Adversarial Network for Single Image Super Resolution pdf

Guangyu Sun, Bingzhe Wu, Zhichao Liu, 2017, ArXiv.

Reducing Overfitting in Deep Convolutional Neural Networks Using Redundancy Regularizer

Guangyu Sun, Bingzhe Wu, Charles Wu, 2017, ICANN.

Customizing Trusted AI Accelerators for Efficient Privacy-Preserving Machine Learning pdf

Guangyu Sun, Xuanle Ren, Peichen Xie, 2020, ArXiv.

GCNear: A Hybrid Architecture for Efficient GCN Training with Near-Memory Processing pdf

Xuechao Wei, Guangyu Sun, Zhe Zhou, 2021, ArXiv.

Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics pdf

Cen Chen, Jun Zhou, Bingzhe Wu, 2019, AAAI.

PTQ4ViT: Post-Training Quantization Framework for Vision Transformers pdf

Yiqi Chen, Zhihang Yuan, Qiang Wu, 2021, ArXiv.

RPTQ: Reorder-based Post-training Quantization for Large Language Models

Jiaxiang Wu, Xinggang Wang, Wenyu Liu, 2023, ArXiv.

PTQ-SL: Exploring the Sub-layerwise Post-training Quantization pdf

Yiqi Chen, Zhihang Yuan, Guangyu Sun, 2021, ArXiv.

Benchmarking the Reliability of Post-training Quantization: a Particular Focus on Worst-case Performance

Jiaxiang Wu, Xinggang Wang, Wenyu Liu, 2023, ArXiv.

G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification

Guangyu Sun, Bingzhe Wu, Lingxi Xie, 2018, AAAI.

PTQ4ViT: Post-training Quantization for Vision Transformers with Twin Uniform Quantization

Guangyu Sun, Zhihang Yuan, Qiang Wu, 2021, ECCV.

BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference

Guangyu Sun, Bingzhe Wu, Peichen Xie, 2019, IJCAI.