no code implementations • 31 Mar 2025 • Shuoming Zhang, Jiacheng Zhao, Ruiyuan Xu, Xiaobing Feng, Huimin Cui
In this work, we reveal a critical control-plane attack surface orthogonal to traditional data-plane vulnerabilities.
1 code implementation • 24 Jul 2024 • Junyu Li, Ye Zhang, Wen Shu, Xiaobing Feng, Yingchun Wang, Pengju Yan, Xiaolin Li, Chulin Sha, Min He
Multiple instance learning (MIL) has been successfully applied for whole slide images (WSIs) analysis in computational pathology, enabling a wide range of prediction tasks from tumor subtyping to inferring genetic mutations and multi-omics biomarkers.
no code implementations • 9 Mar 2022 • Yike Zhang, Xiaobing Feng, Yi Liu, Songjun Cao, Long Ma
Automatic speech recognition (ASR) systems used on smart phones or vehicles are usually required to process speech queries from very different domains.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
no code implementations • 7 Jul 2021 • Songjun Cao, Yike Zhang, Xiaobing Feng, Long Ma
Secondly, a group of geo-specific language models (Geo-LMs) are integrated into our speech recognition system to improve recognition accuracy of long tail and homophone POI.
no code implementations • 1 Apr 2021 • Jiansong Li, Xiao Dong, Guangli Li, Peng Zhao, Xueying Wang, Xiaobing Chen, Xianzhi Yu, Yongxin Yang, Zihan Jiang, Wei Cao, Lei Liu, Xiaobing Feng
The training of deep neural networks (DNNs) is usually memory-hungry due to the limited device memory capacity of DNN accelerators.
no code implementations • 30 Oct 2020 • Guangli Li, Xiu Ma, Xueying Wang, Lei Liu, Jingling Xue, Xiaobing Feng
The increasing computational cost of deep neural network models limits the applicability of intelligent applications on resource-constrained edge devices.
no code implementations • 19 Mar 2020 • Guangli Li, Lei Liu, Xueying Wang, Xiu Ma, Xiaobing Feng
Accelerating deep convolutional neural networks has become an active topic and sparked an interest in academia and industry.
no code implementations • 17 Jan 2019 • Xueying Wang, Lei Liu, Guangli Li, Xiao Dong, Peng Zhao, Xiaobing Feng
Background subtraction is a significant component of computer vision systems.
no code implementations • 16 Dec 2018 • Guangli Li, Lei Liu, Xueying Wang, Xiao Dong, Peng Zhao, Xiaobing Feng
By analyzing the characteristics of layers in DNNs, an auto-tuning neural network quantization framework for collaborative inference is proposed.
no code implementations • 3 Oct 2014 • Shuchang Zhou, Zhihua Zhang, Xiaobing Feng
In this paper we propose and study an optimization problem over a matrix group orbit that we call \emph{Group Orbit Optimization} (GOO).