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Wujie Wen

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Zero-Space Cost Fault Tolerance for Transformer-based Language Models on ReRAM

Jan 22, 2024
Bingbing Li, Geng Yuan, Zigeng Wang, Shaoyi Huang, Hongwu Peng, Payman Behnam, Wujie Wen, Hang Liu, Caiwen Ding

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LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference

Sep 30, 2023
Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding

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AutoReP: Automatic ReLU Replacement for Fast Private Network Inference

Aug 20, 2023
Hongwu Peng, Shaoyi Huang, Tong Zhou, Yukui Luo, Chenghong Wang, Zigeng Wang, Jiahui Zhao, Xi Xie, Ang Li, Tony Geng, Kaleel Mahmood, Wujie Wen, Xiaolin Xu, Caiwen Ding

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Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators through Training with Right-Censored Gaussian Noise

Jul 29, 2023
Zheyu Yan, Yifan Qin, Wujie Wen, Xiaobo Sharon Hu, Yiyu Shi

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Spectral-DP: Differentially Private Deep Learning through Spectral Perturbation and Filtering

Jul 25, 2023
Ce Feng, Nuo Xu, Wujie Wen, Parv Venkitasubramaniam, Caiwen Ding

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Negative Feedback Training: A Novel Concept to Improve Robustness of NVCiM DNN Accelerators

May 23, 2023
Yifan Qin, Zheyu Yan, Wujie Wen, Xiaobo Sharon Hu, Yiyu Shi

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Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration

Apr 24, 2023
Shaoyi Huang, Haowen Fang, Kaleel Mahmood, Bowen Lei, Nuo Xu, Bin Lei, Yue Sun, Dongkuan Xu, Wujie Wen, Caiwen Ding

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RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference

Feb 22, 2023
Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Shaoyi Huang, Xi Xie, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding

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CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference

Sep 24, 2022
Ran Ran, Nuo Xu, Wei Wang, Quan Gang, Jieming Yin, Wujie Wen

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