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 • 18 Oct 2023 • Yingjie Qi, Jianlei Yang, Ao Zhou, Tong Qiao, Chunming Hu
Graph neural networks (GNNs) have gained significant popularity due to the powerful capability to extract useful representations from graph data.
1 code implementation • 8 Aug 2023 • Yumeng Shi, Shihao Bai, Xiuying Wei, Ruihao Gong, Jianlei Yang
Then, a dedicated differentiable counter is introduced to guide the optimization of lossy compression to arrive at a more suitable point for later lossless compression.
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.
1 code implementation • ICCV 2023 • Yumeng Shi, Shihao Bai, Xiuying Wei, Ruihao Gong, Jianlei Yang
Then, a dedicated differentiable counter is introduced to guide the optimization of lossy compression to arrive at a more suitable point for later lossless compression.
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.
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.
no code implementations • 7 Jun 2021 • Xin Guo, Jianlei Yang, Haoyi Zhou, Xucheng Ye, JianXin Li
In order to overcome these security problems, RoSearch is proposed as a comprehensive framework to search the student models with better adversarial robustness when performing knowledge distillation.
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 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 • 23 May 2020 • Ang Li, Yixiao Duan, Huanrui Yang, Yiran Chen, Jianlei Yang
The goal of this framework is to learn a feature extractor that can hide the privacy information from the intermediate representations; while maximally retaining the original information embedded in the raw data for the data collector to accomplish unknown learning tasks.
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 Dec 2019 • Zirui Xu, Zhao Yang, JinJun Xiong, Jianlei Yang, Xiang Chen
In this paper, we propose Helios, a heterogeneity-aware FL framework to tackle the straggler issue.
Distributed, Parallel, and Cluster Computing
no code implementations • ECCV 2020 • Xucheng Ye, Pengcheng Dai, Junyu Luo, Xin Guo, Yingjie Qi, Jianlei Yang, Yiran Chen
Sparsification is an efficient approach to accelerate CNN inference, but it is challenging to take advantage of sparsity in training procedure because the involved gradients are dynamically changed.
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.