no code implementations • 8 Apr 2024 • Xiahan Chen, Mingjian Chen, Sanli Tang, Yi Niu, Jiang Zhu
3D object detection based on roadside cameras is an additional way for autonomous driving to alleviate the challenges of occlusion and short perception range from vehicle cameras.
no code implementations • 16 Dec 2023 • Yang Zhong, Weiping Dou, Andrew Cohen, Dia'a Bisharat, Yuandong Tian, Jiang Zhu, Qing Huo Liu
To extend the antenna design on printed circuit boards (PCBs) for more engineers of interest, we propose a simple method that models PCB antennas with a few basic components.
1 code implementation • 15 Dec 2023 • Shihan Dou, Enyu Zhou, Yan Liu, Songyang Gao, Jun Zhao, Wei Shen, Yuhao Zhou, Zhiheng Xi, Xiao Wang, Xiaoran Fan, ShiLiang Pu, Jiang Zhu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
Supervised fine-tuning (SFT) is a crucial step for large language models (LLMs), enabling them to align with human instructions and enhance their capabilities in downstream tasks.
no code implementations • 10 Sep 2023 • Qi Zhang, Jiang Zhu, Fengzhong Qu, De Wen Soh
To overcome this fundamental bottleneck, we propose a one-bit-aided (1bit-aided) modulo sampling scheme for direction-of-arrival (DOA) estimation.
no code implementations • 2 Jul 2023 • Jiang Zhu, Hansheng Zhang, Ning Zhang, Jun Fang, Fengzhong Qu
As radar systems will be equipped with thousands of antenna elements and wide bandwidth, the associated costs and power consumption become exceedingly high, primarily attributed to the high-precision (e. g., 10-12 bits) analog-to-digital converters (ADCs).
no code implementations • 6 Jan 2023 • Andrew Cohen, Weiping Dou, Jiang Zhu, Slawomir Koziel, Peter Renner, Jan-Ove Mattsson, Xiaomeng Yang, Beidi Chen, Kevin Stone, Yuandong Tian
Linear Partial Differential Equations (PDEs) govern the spatial-temporal dynamics of physical systems that are essential to building modern technology.
no code implementations • 28 Oct 2022 • Qi Zhang, Jiang Zhu, Fengzhong Qu, De Wen Soh
In addition, a two-stage US LSE (USLSE) is proposed, where the line spectral signal is first recovered by iteratively executing DP and OMP, and then the parameters are estimated by applying a state-of-the-art LSE algorithm.
1 code implementation • 17 Oct 2022 • Jiang Zhu, Xiangming Meng, Xupeng Lei, Qinghua Guo
We consider the problem of recovering an unknown signal ${\mathbf x}\in {\mathbb R}^n$ from general nonlinear measurements obtained through a generalized linear model (GLM), i. e., ${\mathbf y}= f\left({\mathbf A}{\mathbf x}+{\mathbf w}\right)$, where $f(\cdot)$ is a componentwise nonlinear function.
no code implementations • 28 Feb 2022 • Yang Zhong, Peter Renner, Weiping Dou, Geng Ye, Jiang Zhu, Qing Huo Liu
For a dual resonance antenna design with wide bandwidth, our proposed method is in par with Trust Region Framework and much better than the other mature machine learning algorithms including the widely used Genetic Algorithm and Particle Swarm Optimization.
no code implementations • 12 Jul 2021 • Rongkai Zhang, Jiang Zhu, Zhiyuan Zha, Justin Dauwels, Bihan Wen
To benchmark the effectiveness of reinforcement learning in R3L, we train a recurrent neural network with the same architecture for residual recovery using the deterministic loss, thus to analyze how the two different training strategies affect the denoising performance.
Ranked #1 on Image Denoising on BSD68 sigma30
no code implementations • 29 Jan 2021 • Jiang Zhu, Honghui Guo, Ning Zhang, Chunyi Song, Zhiwei Xu
The linear frequency modulated (LFM) frequency agile radar (FAR) can synthesize a wide signal bandwidth through coherent processing while keeping the bandwidth of each pulse narrow.
no code implementations • 11 Jan 2021 • Zhaofeng Kang, Shinya Matsuzaki, Jiang Zhu
We demonstrate that the PLMs with the Haar measure term, involving models successful in QCD with $N=3$, are potentially incompatible with the large $N$ scaling for the thermodynamical quantities and the latent heat at around the criticality of the FOPT reported from the lattice simulations.
High Energy Physics - Phenomenology High Energy Physics - Theory
no code implementations • 26 Dec 2019 • Qi Zhang, Jiang Zhu, Yuantao Gu, Zhiwei Xu
This paper studies DOA in heteroscedastic noise (HN) environment, where the variance of noise is varied across the snapshots and the antennas.
no code implementations • 20 Jun 2019 • Ning Zhang, Jiang Zhu, Zhiwei Xu
Due to the increasing demand for low power and higher sampling rates, low resolution quantization for data acquisition has drawn great attention recently.
1 code implementation • 3 Jun 2019 • Jiang Zhu, Chao-Kai Wen, Jun Tong, Chongbin Xu, Shi Jin
Employing low-resolution analog-to-digital converters (ADCs) coupled with large antenna arrays at the receivers has drawn considerable interests in the millimeter wave (mm-wave) system.
Signal Processing Information Theory Information Theory
no code implementations • 23 May 2019 • Benzhou Jin, Jiang Zhu, Qihui Wu, Yuhong Zhang, Zhiwei Xu
It is shown that compared to the conventional radar applying linear processing methods, one-bit LFMCW radar has about $1. 3$ dB performance gain when the input signal-to-noise ratios (SNRs) of targets are low.
no code implementations • 26 Aug 2018 • Jiang Zhu, Qi Zhang, Xiangming Meng, Zhiwei Xu
In this paper, we consider a general form of noisy compressive sensing (CS) where the sensing matrix is not precisely known.
Signal Processing
no code implementations • 17 Mar 2018 • Jiang Zhu, Qi Zhang, Peter Gerstoft, Mihai-Alin Badiu, Zhiwei Xu
In this paper, the line spectral estimation (LSE) problem with multiple measurement vectors (MMVs) is studied utilizing the Bayesian methods.
Information Theory Information Theory
no code implementations • 29 Dec 2017 • Xiangming Meng, Sheng Wu, Jiang Zhu
In this letter, we present a unified Bayesian inference framework for generalized linear models (GLM) which iteratively reduces the GLM problem to a sequence of standard linear model (SLM) problems.
Information Theory Information Theory
no code implementations • 10 Aug 2016 • Yuncheng Li, Liangliang Cao, Jiang Zhu, Jiebo Luo
The core of the proposed automatic composition system is to score fashion outfit candidates based on the appearances and meta-data.