no code implementations • 15 Apr 2024 • Tong Qiao, Jianlei Yang, Yingjie Qi, Ao Zhou, Chen Bai, Bei Yu, Weisheng Zhao, Chunming Hu
Graph Neural Networks (GNNs) succeed significantly in many applications recently.
no code implementations • 8 Apr 2024 • Ao Zhou, Jianlei Yang, Tong Qiao, Yingjie Qi, Zhi Yang, Weisheng Zhao, Chunming Hu
GCoDE abstracts the device communication process into an explicit operation and fuses the search of architecture and the operations mapping in a unified space for joint-optimization.
no code implementations • 3 Nov 2023 • Jianlei Yang, Jiacheng Liao, Fanding Lei, Meichen Liu, Junyi Chen, Lingkun Long, Han Wan, Bei Yu, Weisheng Zhao
To the best of our knowledge, SparseEngine is the first deployment framework capable of performing inference of sparse models with transformer on MCUs.
no code implementations • 31 Oct 2023 • Cenlin Duan, Jianlei Yang, Xiaolin He, Yingjie Qi, Yikun Wang, Yiou Wang, Ziyan He, Bonan Yan, Xueyan Wang, Xiaotao Jia, Weitao Pan, Weisheng Zhao
Processing-in-memory (PIM), as a novel computing paradigm, provides significant performance benefits from the aspect of effective data movement reduction.
no code implementations • 20 Mar 2023 • Ao Zhou, Jianlei Yang, Yingjie Qi, Yumeng Shi, Tong Qiao, Weisheng Zhao, Chunming Hu
Moreover, HGNAS achieves hardware awareness during the GNN architecture design by leveraging a hardware performance predictor, which could balance the GNN model accuracy and efficiency corresponding to the characteristics of targeted devices.
no code implementations • 22 Jun 2022 • Jianlei Yang, Xiaopeng Gao, Weisheng Zhao
With the rapid development of artificial intelligence (AI) community, education in AI is receiving more and more attentions.
no code implementations • 29 Mar 2022 • Mingjun Li, Jianlei Yang, Yingjie Qi, Meng Dong, Yuhao Yang, Runze Liu, Weitao Pan, Bei Yu, Weisheng Zhao
In this paper, Eventor is proposed as a fast and efficient EMVS accelerator by realizing the most critical and time-consuming stages including event back-projection and volumetric ray-counting on FPGA.
1 code implementation • 20 Aug 2021 • Junyu Luo, Jianlei Yang, Xucheng Ye, Xin Guo, Weisheng Zhao
Federated learning aims to protect users' privacy while performing data analysis from different participants.
1 code implementation • 23 Jul 2021 • Xing Chen, Flavio Abreu Araujo, Mathieu Riou, Jacob Torrejon, Dafiné Ravelosona, Wang Kang, Weisheng Zhao, Julie Grollier, Damien Querlioz
Here we show that a dynamical neural network, trained on a minimal amount of data, can predict the behavior of spintronic devices with high accuracy and an extremely efficient simulation time, compared to the micromagnetic simulations that are usually employed to model them.
2 code implementations • 15 Jun 2021 • Jianlei Yang, Wenzhi Fu, Xingzhou Cheng, Xucheng Ye, Pengcheng Dai, Weisheng Zhao
Convolutional neural networks (CNNs) have achieved great success in performing cognitive tasks.
1 code implementation • 7 Apr 2021 • Ao Zhou, Jianlei Yang, Yeqi Gao, Tong Qiao, Yingjie Qi, Xiaoyi Wang, Yunli Chen, Pengcheng Dai, Weisheng Zhao, Chunming Hu
Graph neural networks (GNN) have achieved state-of-the-art performance on various industrial tasks.
no code implementations • 21 Jan 2021 • Zhenyi Zheng, Yue Zhang, Victor Lopez-Dominguez, Luis Sánchez-Tejerina, Jiacheng Shi, Xueqiang Feng, Lei Chen, Zilu Wang, Zhizhong Zhang, Kun Zhang, Bin Hong, Yong Xu, Youguang Zhang, Mario Carpentieri, Albert Fert, Giovanni Finocchio, Weisheng Zhao, Pedram Khalili Amiri
Existing methods to do so involve the application of an in-plane bias magnetic field, or incorporation of in-plane structural asymmetry in the device, both of which can be difficult to implement in practical applications.
Mesoscale and Nanoscale Physics
no code implementations • 10 Dec 2020 • Kewen Shi, Wenlong Cai, Sheng Jiang, Daoqian Zhu, Kaihua Cao, Zongxia Guo, Jiaqi Wei, Ao Du, Zhi Li, Yan Huang, Jialiang Yin, Johan Akerman, Weisheng Zhao
Magnetic droplets, a class of highly non-linear magnetodynamical solitons, can be nucleated and stabilized in nanocontact spin-torque nano-oscillators where they greatly increase the microwave output power.
Applied Physics
no code implementations • 21 Jul 2020 • Pengcheng Dai, Jianlei Yang, Xucheng Ye, Xingzhou Cheng, Junyu Luo, Linghao Song, Yiran Chen, Weisheng Zhao
In this paper, \textit{SparseTrain} is proposed to accelerate CNN training by fully exploiting the sparsity.
no code implementations • 8 May 2020 • Xiaotao Jia, Jianlei Yang, Runze Liu, Xueyan Wang, Sorin Dan Cotofana, Weisheng Zhao
A feature decomposition and memorization (\texttt{DM}) strategy is utilized to reform the BNN inference flow in a reduced manner.
no code implementations • 3 Jun 2019 • Runze Liu, Jianlei Yang, Yiran Chen, Weisheng Zhao
Simultaneous Localization and Mapping (SLAM) is a critical task for autonomous navigation.
no code implementations • 8 Feb 2018 • Jianlei Yang, Xueyan Wang, Qiang Zhou, Zhaohao Wang, Hai, Li, Yiran Chen, Weisheng Zhao
Circuit obfuscation is a frequently used approach to conceal logic functionalities in order to prevent reverse engineering attacks on fabricated chips.
Emerging Technologies Cryptography and Security
no code implementations • 3 Nov 2017 • Xiaotao Jia, Jianlei Yang, Zhaohao Wang, Yiran Chen, Hai, Li, Weisheng Zhao
Bayesian inference is an effective approach for solving statistical learning problems especially with uncertainty and incompleteness.
no code implementations • 29 Aug 2016 • Yangqi Huang, Wang Kang, Xichao Zhang, Yan Zhou, Weisheng Zhao
Magnetic skyrmions are promising candidates for next-generation information carriers, owing to their small size, topological stability, and ultralow depinning current density.