no code implementations • 11 Nov 2024 • Ruiqi Kong, He Chen
This paper presents DeepCRF, a new framework that harnesses deep learning to extract subtle micro-signals from channel state information (CSI) measurements, enabling robust and resilient radio-frequency fingerprinting (RFF) of commercial-off-the-shelf (COTS) WiFi devices across diverse channel conditions.
no code implementations • 26 Oct 2024 • LiXin Wang, Qian Wang, He Chen, Shidong Zhou
However, finding the optimal policy for the formulated MDP in its original form is challenging due to the intertwined AoI dynamics of all D2D links.
no code implementations • 11 Apr 2024 • He Chen, Jiajin Li, Anthony Man-Cho So
Despite the considerable success of Bregman proximal-type algorithms, such as mirror descent, in machine learning, a critical question remains: Can existing stationarity measures, often based on Bregman divergence, reliably distinguish between stationary and non-stationary points?
no code implementations • 23 Mar 2024 • Ruiqi Kong, He Chen
The construction of a framework that is resilient to channel variability is essential for the practical deployment of CSI-RFF techniques.
no code implementations • 1 Aug 2023 • Ruiqi Kong, He Chen
This paper presents a new radiometric fingerprint that is revealed by micro-signals in the channel state information (CSI) curves extracted from commodity Wi-Fi devices.
no code implementations • 14 Jul 2023 • Yuyang Du, Hongyu Deng, Soung Chang Liew, Kexin Chen, Yulin Shao, He Chen
We begin by exploring LLM-assisted code refactoring, reuse, and validation, using an open-source software-defined radio (SDR) project as a case study.
no code implementations • 27 Jun 2023 • Ke Xu, He Chen, Chenshu Wu
Considering the limited number of paths in physical environments, we formulate the multipath delay estimation as a sparse recovery problem.
no code implementations • 27 Jun 2023 • Ke Xu, Rui Zhang, He Chen
This paper considers a radio-frequency (RF)-based simultaneous localization and source-seeking (SLASS) problem in multi-robot systems, where multiple robots jointly localize themselves and an RF source using distance-only measurements extracted from RF signals and then control themselves to approach the source.
1 code implementation • 8 Jul 2022 • Tong Zhang, Peng Gao, Hao Dong, Yin Zhuang, Guanqun Wang, Wei zhang, He Chen
Currently, under supervised learning, a model pretrained by a large-scale nature scene dataset and then fine-tuned on a few specific task labeling data is the paradigm that has dominated the knowledge transfer learning.
no code implementations • 27 Jun 2021 • Wei Zhuo, Kunchi Liu, Taofeng Xue, Beihong Jin, Beibei Li, Xinzhou Dong, He Chen, Wenhai Pan, Xuejian Zhang, Shuo Zhou
Interactions between users and videos are the major data source of performing video recommendation.
no code implementations • ICCV 2021 • Yawei Li, He Chen, Zhaopeng Cui, Radu Timofte, Marc Pollefeys, Gregory Chirikjian, Luc van Gool
In this paper, we aim at improving the computational efficiency of graph convolutional networks (GCNs) for learning on point clouds.
no code implementations • 15 Feb 2021 • He Chen, Hyojoon Park, Kutay Macit, Ladislav Kavan
The key idea behind our system is a new type of motion capture suit which contains a special pattern with checkerboard-like corners and two-letter codes.
no code implementations • 1 Jan 2021 • Yawei Li, He Chen, Zhaopeng Cui, Radu Timofte, Marc Pollefeys, Gregory Chirikjian, Luc van Gool
State-of-the-art GCNs adopt $K$-nearest neighbor (KNN) searches for local feature aggregation and feature extraction operations from layer to layer.
1 code implementation • ECCV 2020 • He Chen, Pengfei Guo, Pengfei Li, Gim Hee Lee, Gregory Chirikjian
In this paper, we depart from the multi-person 3D pose estimation formulation, and instead reformulate it as crowd pose estimation.
Ranked #13 on 3D Multi-Person Pose Estimation on Panoptic (using extra training data)
3D Multi-Person Human Pose Estimation 3D Multi-Person Pose Estimation +2
no code implementations • 21 Jul 2020 • Yulin Shao, Soung Chang Liew, He Chen, Yuyang Du
Software-defined Internet-of-Things networking (SDIoT) greatly simplifies the network monitoring in large-scale IoT networks by per-flow sampling, wherein the controller keeps track of all the active flows in the network and samples the IoT devices on each flow path to collect real-time flow statistics.
no code implementations • 6 Jul 2020 • Yifan Gu, Qian Wang, He Chen, Yonghui Li, Branka Vucetic
We derive approximate closed-form expressions of the average AoI at the destination, and the average number of forwarding operations at the relay for the DTR policy, by modelling the tangled evolution of age at relay and destination as a Markov chain (MC).
Information Theory Networking and Internet Architecture Signal Processing Information Theory
no code implementations • 23 May 2020 • Zhifang Gu, He Chen, Pingping Xu, Yonghui Li, Branka Vucetic
This method realizes PLA by embedding an authentication signal (tag) into a message signal, referred to as "message-based tag embedding".
no code implementations • 30 Apr 2019 • He Chen, Gregory S. Chirikjian
In this paper, a novel signature of human action recognition, namely the curvature of a video sequence, is introduced.
1 code implementation • 1 Apr 2019 • Jie Zhang, Junjie Cao, Xiuping Liu, He Chen, Bo Li, Ligang Liu
This paper presents a unified definition for point cloud normals of feature and non-feature points, which allows feature points to possess multiple normals.