no code implementations • 25 May 2021 • Nelly Elsayed, Zaghloul Saad Zaghloul, Sylvia Worlali Azumah, Chengcheng Li
In this paper, we proposed an intrusion detection system (IDS) to detect anomalies in a smart home network using a bidirectional long short-term memory (BiLSTM) and convolutional neural network (CNN) hybrid model.
no code implementations • CVPR 2021 • Zi Wang, Chengcheng Li, Xiangyang Wang
Based on this finding, we then propose a network pruning approach that identifies structural redundancy of a CNN and prunes filters in the selected layer(s) with the most redundancy.
no code implementations • 6 Jan 2020 • Murat Ozer, Nelly Elsayed, Said Varlioglu, Chengcheng Li, Niyazi Ekici
Social network analysis is employed to measure the influence of peers on the outcome variable.
no code implementations • 16 May 2019 • Chengcheng Li, Zi Wang, Dali Wang, Xiangyang Wang, Hairong Qi
Most existing channel pruning methods formulate the pruning task from a perspective of inefficiency reduction which iteratively rank and remove the least important filters, or find the set of filters that minimizes some reconstruction errors after pruning.
no code implementations • 18 Feb 2019 • Zi Wang, Chengcheng Li, Dali Wang, Xiangyang Wang, Hairong Qi
In specific, with the proposed method, 75% and 54% of the total computation time for the whole pruning procedure can be reduced for AlexNet on CIFAR-10, and for VGG-16 on ImageNet, respectively.
no code implementations • 18 Feb 2019 • Chengcheng Li, Zi Wang, Xiangyang Wang, Hairong Qi
In this work, we propose a novel single-shot channel pruning approach based on alternating direction methods of multipliers (ADMM), which can eliminate the need for complex iterative pruning and fine-tuning procedure and achieve a target compression ratio with only one run of pruning and fine-tuning.
no code implementations • 5 May 2018 • Chengcheng Li, Zi Wang, Hairong Qi
Building on top of the success of generative adversarial networks (GANs), conditional GANs attempt to better direct the data generation process by conditioning with certain additional information.
no code implementations • 14 Jan 2018 • Zi Wang, Dali Wang, Chengcheng Li, Yichi Xu, Husheng Li, Zhirong Bao
However, the application of these systems to model cell movement is still challenging and requires a comprehensive understanding of regulation networks at the right scales.