no code implementations • 14 Feb 2024 • Hao liu, Jiancheng An, Derrick Wing Kwan Ng, George C. Alexandropoulos, Lu Gan
Stacked intelligent metasurfaces (SIM) represents an advanced signal processing paradigm that enables over-the-air processing of electromagnetic waves at the speed of light.
no code implementations • 16 Nov 2023 • Wolfgang Otto, Matthäus Zloch, Lu Gan, Saurav Karmakar, Stefan Dietze
Named Entity Recognition (NER) models play a crucial role in various NLP tasks, including information extraction (IE) and text understanding.
Ranked #1 on Scholarly Named Entity Recognition on GSAP-NER
no code implementations • 14 Nov 2023 • Weidong Wang, Hongshu Liao, Lu Gan
Deep neural networks have been widely used in communication signal recognition and achieved remarkable performance, but this superiority typically depends on using massive examples for supervised learning, whereas training a deep neural network on small datasets with few labels generally falls into overfitting, resulting in degenerated performance.
1 code implementation • 30 Oct 2023 • Sri Aditya Deevi, Connor Lee, Lu Gan, Sushruth Nagesh, Gaurav Pandey, Soon-Jo Chung
Multimodal deep sensor fusion has the potential to enable autonomous vehicles to visually understand their surrounding environments in all weather conditions.
no code implementations • 9 Oct 2023 • Junkang Yang, Hongqing Liu, Lu Gan, Yi Zhou
Speech super-resolution (SSR) aims to predict a high resolution (HR) speech signal from its low resolution (LR) corresponding part.
1 code implementation • 18 Jul 2023 • Connor Lee, Jonathan Gustafsson Frennert, Lu Gan, Matthew Anderson, Soon-Jo Chung
We present a new method to adapt an RGB-trained water segmentation network to target-domain aerial thermal imagery using online self-supervision by leveraging texture and motion cues as supervisory signals.
no code implementations • 24 Jun 2023 • Weidong Wang, Hongshu Liao, Lu Gan
Deep learning has been widely used in radio frequency (RF) fingerprinting.
no code implementations • 24 Jun 2023 • Weidong Wang, Jiancheng An, Hongshu Liao, Lu Gan, Chau Yuen
Experimental results with extensive simulations demonstrate that our proposed GAN framework can effectively learn transmitter characteristics and various channel effects, thus accurately modeling for an underlying sampling distribution to synthesize radio signals of high quality.
1 code implementation • 18 May 2023 • Chenhao Shuai, Chaohua Shi, Lu Gan, Hongqing Liu
Speech super-resolution (SSR) aims to recover a high resolution (HR) speech from its corresponding low resolution (LR) counterpart.
no code implementations • 28 Apr 2023 • Weidong Wang, Cheng Luo, Jiancheng An, Lu Gan, Hongshu Liao, Chau Yuen
As a promising non-password authentication technology, radio frequency (RF) fingerprinting can greatly improve wireless security.
no code implementations • 24 Apr 2023 • Xing Jia, Jiancheng An, Hao liu, Hongshu Liao, Lu Gan, Chau Yuen
Reconfigurable intelligent surface (RIS) is a revolutionary technology that can customize the wireless channel and improve the energy efficiency of next-generation cellular networks.
no code implementations • 6 Jan 2023 • Wangyang Xu, Jiancheng An, Hongbin Li, Lu Gan, Chau Yuen
To improve the efficiency of the D-ADMM in distributed BSs, we develop a monodirectional information exchange strategy with a small signaling overhead.
1 code implementation • 9 Oct 2022 • Lu Gan, Connor Lee, Soon-Jo Chung
This work presents a new method for unsupervised thermal image classification and semantic segmentation by transferring knowledge from the RGB domain using a multi-domain attention network.
no code implementations • 18 May 2022 • Wangyang Xu, Jiancheng An, Chongwen Huang, Lu Gan, Chau Yuen
Reconfigurable intelligent surface (RIS) has recently gained popularity as a promising solution for improving the signal transmission quality of wireless communications with less hardware cost and energy consumption.
no code implementations • 16 Feb 2022 • Zhenhua Xu, Yuxuan Liu, Lu Gan, Yuxiang Sun, Xinyu Wu, Ming Liu, Lujia Wang
To provide a solution to these problems, we propose a novel approach based on transformer and imitation learning in this paper.
no code implementations • journal 2021 • Wangyang Xu, Lu Gan, Chongwen Huang
Specifically, for the situation that the discrete phase shifts and perfect CSI are considered, we first develop a deep quantization neural network (DQNN) to simultaneously design the active and passive beamforming while most reported works design them alternatively.
no code implementations • 11 Nov 2021 • Zhenhua Xu, Yuxuan Liu, Lu Gan, Xiangcheng Hu, Yuxiang Sun, Ming Liu, Lujia Wang
To provide a solution to the aforementioned problems, in this letter, we propose a novel system termed csBoundary to automatically detect road boundaries at the city scale for HD map annotation.
no code implementations • 9 Nov 2021 • Wangyang Xu, Jiancheng An, Yongjun Xu, Chongwen Huang, Lu Gan, Chau Yuen
To mitigate the effects of shadow fading and obstacle blocking, reconfigurable intelligent surface (RIS) has become a promising technology to improve the signal transmission quality of wireless communications by controlling the reconfigurable passive elements with less hardware cost and lower power consumption.
2 code implementations • 6 Aug 2021 • Aishwarya Unnikrishnan, Joey Wilson, Lu Gan, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari
This paper reports on a dynamic semantic mapping framework that incorporates 3D scene flow measurements into a closed-form Bayesian inference model.
1 code implementation • 20 Nov 2020 • Libo Huang, Lu Gan, Bingo Wing-Kuen Ling
Finally, taking the best of the clustering validity indices into the proposed model, we derive an automatic spike sorting method.
Signal Processing
no code implementations • 16 Apr 2020 • Tianyu Liu, Qinghai Liao, Lu Gan, Fulong Ma, Jie Cheng, Xupeng Xie, Zhe Wang, Yingbing Chen, Yilong Zhu, Shuyang Zhang, Zhengyong Chen, Yang Liu, Meng Xie, Yang Yu, Zitong Guo, Guang Li, Peidong Yuan, Dong Han, Yuying Chen, Haoyang Ye, Jianhao Jiao, Peng Yun, Zhenhua Xu, Hengli Wang, Huaiyang Huang, Sukai Wang, Peide Cai, Yuxiang Sun, Yandong Liu, Lujia Wang, Ming Liu
Moreover, many countries have imposed tough lockdown measures to reduce the virus transmission (e. g., retail, catering) during the pandemic, which causes inconveniences for human daily life.
2 code implementations • 10 Sep 2019 • Lu Gan, Ray Zhang, Jessy W. Grizzle, Ryan M. Eustice, Maani Ghaffari
This paper develops a Bayesian continuous 3D semantic occupancy map from noisy point cloud measurements.
Robotics
no code implementations • 20 Mar 2018 • Ross Hartley, Maani Ghaffari Jadidi, Lu Gan, Jiunn-Kai Huang, Jessy W. Grizzle, Ryan M. Eustice
The factor graph framework is a convenient modeling technique for robotic state estimation where states are represented as nodes, and measurements are modeled as factors.
Robotics
no code implementations • 15 Dec 2017 • Ross Hartley, Josh Mangelson, Lu Gan, Maani Ghaffari Jadidi, Jeffrey M. Walls, Ryan M. Eustice, Jessy W. Grizzle
We introduce forward kinematic factors and preintegrated contact factors into a factor graph framework that can be incrementally solved in real-time.
Robotics
no code implementations • 16 Jun 2015 • Vahid Abolghasemi, Hao Shen, Yaochun Shen, Lu Gan
In this paper, the problem of terahertz pulsed imaging and reconstruction is addressed.