no code implementations • 22 Jan 2024 • Bingbing Li, Geng Yuan, Zigeng Wang, Shaoyi Huang, Hongwu Peng, Payman Behnam, Wujie Wen, Hang Liu, Caiwen Ding
Resistive Random Access Memory (ReRAM) has emerged as a promising platform for deep neural networks (DNNs) due to its support for parallel in-situ matrix-vector multiplication.
1 code implementation • ICCV 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
The growth of the Machine-Learning-As-A-Service (MLaaS) market has highlighted clients' data privacy and security issues.
no code implementations • 22 Sep 2022 • Cheng Jie, Da Xu, Zigeng Wang, Wei Shen
Organic search comprises a large portion of the total traffic for e-commerce companies.
no code implementations • 24 Jun 2021 • Cheng Jie, Da Xu, Zigeng Wang, Lu Wang, Wei Shen
With the increasing scale of search engine marketing, designing an efficient bidding system is becoming paramount for the success of e-commerce companies.
no code implementations • 28 Aug 2020 • Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran
The large model size, high computational operations, and vulnerability against membership inference attack (MIA) have impeded deep learning or deep neural networks (DNNs) popularity, especially on mobile devices.
1 code implementation • NeurIPS 2019 • Xia Xiao, Zigeng Wang, Sanguthevar Rajasekaran
Reducing the model redundancy is an important task to deploy complex deep learning models to resource-limited or time-sensitive devices.