- Digital Media and Visual Art
- Neuroscience and Neural Engineering
- Sustainable Urban and Rural Development
- Advanced MIMO Systems Optimization
- Textile materials and evaluations
- Physical Unclonable Functions (PUFs) and Hardware Security
- Advanced Wireless Communication Technologies
- Space Satellite Systems and Control
- Distributed Control Multi-Agent Systems
- Fractal and DNA sequence analysis
- Image and Object Detection Techniques
- Nanomaterials and Printing Technologies
- Fire Detection and Safety Systems
- Remote Sensing and Land Use
- IoT and Edge/Fog Computing
- Spacecraft Dynamics and Control
- Advanced Adaptive Filtering Techniques
- Advanced Wireless Communication Techniques
- Anomaly Detection Techniques and Applications
- Robotic Path Planning Algorithms
- Sparse and Compressive Sensing Techniques
- Biometric Identification and Security
- Advanced Numerical Methods in Computational Mathematics
- Cooperative Communication and Network Coding
- Privacy-Preserving Technologies in Data
Hong Kong University of Science and Technology
2021-2025
University of Hong Kong
2021-2025
Southern University of Science and Technology
2019-2024
Peng Cheng Laboratory
2023
Nanjing Forestry University
2021
Shanghai Power Equipment Research Institute
2021
Fuzhou University
2019
State Council of the People's Republic of China
2019
Harbin Institute of Technology
2018
Changchun Normal University
2012
Abstract An ideal anti-counterfeiting technique has to be inexpensive, mass-producible, nondestructive, unclonable and convenient for authentication. Although many technologies have been developed, very few of them fulfill all the above requirements. Here we report a non-destructive, inkjet-printable, artificial intelligence (AI)-decodable security label. The stochastic pinning points at three-phase contact line ink droplets is crucial successful inkjet printing labels. Upon solvent...
Recent convolutional neural networks (CNNs)-based image processing methods have proven that CNNs are good at extracting features of spatial data. In this letter, we present a CNN-based modulation recognition framework for the detection radio signals in communication systems. Since frequency variation with time is most important distinction among different types, transform 1-D into spectrogram images using short-time discrete Fourier transform. Furthermore, analyze statistical and use...
An unclonable, colorful, and computer vision decodable anti-counterfeiting label is fabricated by self-assembly of coordination polymers on plasmonic surfaces. The physics behind the colors security surface plasmon enhanced optical interference.
In Intelligent Reflecting Surface (IRS)-assisted massive Multiple-Input Multiple-Output (MIMO) systems, the downlink channel state information (CSI) needs to be fed back base station (BS) and utilized perform beamforming IRS control for high spectral efficiency performance. However, intricate nature of these characterized by a vast number antennas, subcarriers, elements, exacerbates CSI feedback overhead complicates optimization parameters, potentially compromising efficiency. Addressing...
In the furniture industry, some traditional Chinese mortise and tenon joints are not suitable for current requirements carbon reduction environmental protection of products. This article aims to explore new ideas methods modern structure design. The principle in green design concept is introduced Based on furniture, a systematic analysis carried out. Additionally, this review discusses method applying context development status trend summarized an innovative practice combination has...
Motivated by increasing powerful edge devices with data-intensive computing and limited storage size, we study a MapReduce-based wireless distributed framework allocating portion of files in the remote data center to network utilizing computation memory resources at edge. Our is composed three step phases: 1) <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Map</i> ; 2) xmlns:xlink="http://www.w3.org/1999/xlink">Shuffle</i> 3)...
Considering the ultra-short distance approaching plan of on-orbit service, trajectory strategy based on Gaussian pseudo-spectral method is researched. Given target spinning, safety, fuel and maneuver factors, a model which contains secure area as well prohibited built. Furthermore, to safe service solution are also presented. Finally, simulations performed prove validity plan, analyze influence optimal function time. The results demonstrate that planned capable avoiding finding best in terms...
In the furniture industry, some traditional Chinese mortise and tenon joints are not suitable for current requirements carbon reduction environmental protection of products. This article aims to explore new ideas methods modern structure design. The principle in green design concept is introduced Based on furniture, a systematic analysis carried out. Additionally, this review discusses method applying context development status trend summarized an innovative practice combination has...
This paper focuses on minimizing the decentralized finite-sum optimization over a network, where each pair of neighboring agents is associated with nonlinear proximity constraint. Additionally, agent possesses private convex cost that can be decomposed into an average multiple constituent functions. The goal network to collectively minimize sum individual costs while satisfying all constraints. Due their fast convergence and low computational burden, stochastic variance reduction methods...
The edge information of pupil was extracted by the least-square method, and iris outer circle improved Canny Operator plus Hough Transform. segmental-secondary linear localization method adopting detection Radon Transform proposed to remove noise from eyelid on localization, eyelash shadows were removed threshold method.
The color of blueberries is not only an important appearance quality for mature blueberries, but a standard blueberry harvesting. In this paper, through detection hardware system, parameters in RGB image space are figured out. Then, order to input the into harvesting Hue HLS carried out by neural networks.
Our paper presents a MapReduce-based wireless distributed computing framework designed to handle data-intensive on edge devices with limited storage. The involves three stages: Map, Shuffle, and Reduce. However, shuffling large data during the second stage can lead performance degradation over interference networks spectrum bandwidth. To address these issues, we propose using over-the-air computation (AirComp) technology, which leverages in multiple-access channel compute multiple target...
This paper investigates the time-varying formation (TVF) control problem of micro-nano satellite cluster (MNSC) system with input saturation and unknown signals neighboring nodes. An adaptive low-gain strategy event-triggered mechanism is proposed to form predefined TVF exclude Zeno behavior. Satellite transmits status information its neighbors at a specific time, which effectively avoids continuous intersatellite communication reduces energy consumption system. Considering global topology...
At present, crowd counting under complex background is still a big challenge, but meaningful task for public safety. We focus on this problem and propose multi-scale multi-clue network (MMNet), which composed of feature encoder backbone four stacked estimation modules (MCEM) multiple scales as decoders. Each module consists three predictors, including shared attention predictor (SAP), density map (DMP) local (LCMP). DMP utilizes the information each pixel image, while LCMP divides image into...