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Xiaoyao Liang

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MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization

Nov 16, 2023
Zeyu Zhu, Fanrong Li, Gang Li, Zejian Liu, Zitao Mo, Qinghao Hu, Xiaoyao Liang, Jian Cheng

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$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks

Feb 01, 2023
Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng

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BayesFT: Bayesian Optimization for Fault Tolerant Neural Network Architecture

Sep 30, 2022
Nanyang Ye, Jingbiao Mei, Zhicheng Fang, Yuwen Zhang, Ziqing Zhang, Huaying Wu, Xiaoyao Liang

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DNN Training Acceleration via Exploring GPGPU Friendly Sparsity

Mar 11, 2022
Zhuoran Song, Yihong Xu, Han Li, Naifeng Jing, Xiaoyao Liang, Li Jiang

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CP-ViT: Cascade Vision Transformer Pruning via Progressive Sparsity Prediction

Mar 09, 2022
Zhuoran Song, Yihong Xu, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang

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N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores

Dec 15, 2021
Yu Gong, Zhihan Xu, Zhezhi He, Weifeng Zhang, Xiaobing Tu, Xiaoyao Liang, Li Jiang

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SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network

Mar 02, 2021
Fangxin Liu, Wenbo Zhao, Yilong Zhao, Zongwu Wang, Tao Yang, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang

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Invocation-driven Neural Approximate Computing with a Multiclass-Classifier and Multiple Approximators

Oct 19, 2018
Haiyue Song, Chengwen Xu, Qiang Xu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang, Li Jiang

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AXNet: ApproXimate computing using an end-to-end trainable neural network

Jul 27, 2018
Zhenghao Peng, Xuyang Chen, Chengwen Xu, Naifeng Jing, Xiaoyao Liang, Cewu Lu, Li Jiang

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Approximate Random Dropout

May 23, 2018
Zhuoran Song, Dongyu Ru, Ru Wang, Hongru Huang, Zhenghao Peng, Jing Ke, Xiaoyao Liang, Li Jiang

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