Search Results for author: He Chen

Found 19 papers, 3 papers with code

DeepCRF: Deep Learning-Enhanced CSI-Based RF Fingerprinting for Channel-Resilient WiFi Device Identification

no code implementations11 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.

Contrastive Learning Data Augmentation

Age of Information-Oriented Probabilistic Link Scheduling for Device-to-Device Networks

no code implementations26 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.

Graph Neural Network Scheduling

Spurious Stationarity and Hardness Results for Mirror Descent

no code implementations11 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?

Towards Channel-Resilient CSI-Based RF Fingerprinting using Deep Learning

no code implementations23 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.

Contrastive Learning Data Augmentation +1

Physical-Layer Authentication of Commodity Wi-Fi Devices via Micro-Signals on CSI Curves

no code implementations1 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.

The Power of Large Language Models for Wireless Communication System Development: A Case Study on FPGA Platforms

no code implementations14 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.

In-Context Learning Scheduling

Pulse Shape-Aided Multipath Delay Estimation for Fine-Grained WiFi Sensing

no code implementations27 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.

Benchmarking

RF-Based Simultaneous Localization and Source Seeking for Multi-Robot Systems

no code implementations27 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.

Position

Consecutive Pretraining: A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain

1 code implementation8 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.

Land Cover Classification object-detection +3

Towards Efficient Graph Convolutional Networks for Point Cloud Handling

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.

Computational Efficiency

Capturing Detailed Deformations of Moving Human Bodies

no code implementations15 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.

The Card Shuffling Hypotheses: Building a Time and Memory Efficient Graph Convolutional Network

no code implementations1 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.

3D Classification Point Cloud Classification +2

Flow Sampling: Network Monitoring in Large-Scale Software-Defined IoT Networks

no code implementations21 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.

Optimizing Information Freshness in Two-Hop Status Update Systems under a Resource Constraint

no code implementations6 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

Physical Layer Authentication for Non-Coherent Massive SIMO-Enabled Industrial IoT Communications

no code implementations23 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".

Attribute TAG

Curvature: A signature for Action Recognition in Video Sequences

no code implementations30 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.

Action Recognition Few-Shot Learning +6

Multi-Normal Estimation via Pair Consistency Voting

1 code implementation1 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.

Surface Normals Estimation from Point Clouds

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