Wen, Wujie

10 publications

NeurIPS 2024 Error Correction Output Codes for Robust Neural Networks Against Weight-Errors: A Neural Tangent Kernel Point of View Anlan Yu, Shusen Jing, Ning Lyu, Wujie Wen, Zhiyuan Yan
ICCV 2023 AutoReP: Automatic ReLU Replacement for Fast Private Network Inference 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
ICML 2023 COLA: Orchestrating Error Coding and Learning for Robust Neural Network Inference Against Hardware Defects Anlan Yu, Ning Lyu, Jieming Yin, Zhiyuan Yan, Wujie Wen
NeurIPS 2023 LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding
NeurIPS 2023 Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network Inference Ran Ran, Nuo Xu, Tao Liu, Wei Wang, Gang Quan, Wujie Wen
ICML 2023 SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference Ran Ran, Xinwei Luo, Wei Wang, Tao Liu, Gang Quan, Xiaolin Xu, Caiwen Ding, Wujie Wen
NeurIPS 2022 CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference Ran Ran, Wei Wang, Quan Gang, Jieming Yin, Nuo Xu, Wujie Wen
ECCV 2020 An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang
AAAI 2019 Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks Yanzhi Wang, Zheng Zhan, Liang Zhao, Jian Tang, Siyue Wang, Jiayu Li, Bo Yuan, Wujie Wen, Xue Lin
ECCV 2018 A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers Tianyun Zhang, Shaokai Ye, Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang