no code implementations • 15 Mar 2024 • Yanfei Li, Juejing Liu, Xiaodong Zhao, Wenjun Liu, Tong Geng, Ang Li, Xin Zhang
Traditional analysis of highly distorted micro-X-ray diffraction ({\mu}-XRD) patterns from hydrothermal fluid environments is a time-consuming process, often requiring substantial data preprocessing and labeled experimental data.
no code implementations • 14 Aug 2023 • Kaili Jiang, Kailun Tian, HanCong Feng, Yuxin Zhao, Dechang Wang, Sen Cao, Jian Gao, Xuying Zhang, Yanfei Li, Junyu Yuan, Ying Xiong, Bin Tang
Further, the block sparse recovery property is analyzed for wide bandwidth signals.
no code implementations • 14 Aug 2023 • Kaili Jiang, Dechang Wang, Kailun Tian, HanCong Feng, Yuxin Zhao, Sen Cao, Jian Gao, Xuying Zhang, Yanfei Li, Junyu Yuan, Ying Xiong, Bin Tang
To address the high-speed sampling bottleneck of wideband spectrum sensing, a fast and practical solution of power spectrum estimation for Nyquist folding receiver (NYFR) is proposed in this paper.
no code implementations • 5 Jun 2022 • Yanfei Li, Ang Li, Huimin Yu
Being a promising model to be deployed in resource-limited devices, Binarized Neural Networks (BNNs) have drawn extensive attention from both academic and industry.
1 code implementation • 5 Jun 2022 • Yanfei Li, Tong Geng, Samuel Stein, Ang Li, Huimin Yu
To close the accuracy gap, in this paper we propose to add a complementary activation function (AF) ahead of the sign based binarization, and rely on the genetic algorithm (GA) to automatically search for the ideal AFs.
no code implementations • 28 Mar 2021 • Yanfei Li, Tong Geng, Ang Li, Huimin Yu
Motivated by the complex neural networks, in this paper we introduce complex representation into the BNNs and propose Binary complex neural network -- a novel network design that processes binary complex inputs and weights through complex convolution, but still can harvest the extraordinary computation efficiency of BNNs.
1 code implementation • 23 Aug 2019 • Tong Geng, Ang Li, Runbin Shi, Chunshu Wu, Tianqi Wang, Yanfei Li, Pouya Haghi, Antonino Tumeo, Shuai Che, Steve Reinhardt, Martin Herbordt
Deep learning systems have been successfully applied to Euclidean data such as images, video, and audio.