A5100601609- Millimeter-Wave Propagation and Modeling
- Advanced MIMO Systems Optimization
- Microwave Engineering and Waveguides
- Advanced Algorithms and Applications
- Bayesian Methods and Mixture Models
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
- Power Line Communications and Noise
- Machine Learning and ELM
- Computational and Text Analysis Methods
- Advanced Sensor and Control Systems
- Advanced Computational Techniques and Applications
- Full-Duplex Wireless Communications
- Telecommunications and Broadcasting Technologies
- Industrial Technology and Control Systems
- Wireless Sensor Networks and IoT
- Terahertz technology and applications
- Virtual Reality Applications and Impacts
- Machine Learning and Algorithms
- Smart Grid Energy Management
- Statistical Methods and Inference
- Advanced Bandit Algorithms Research
- Data Stream Mining Techniques
- Text and Document Classification Technologies
- Image and Video Quality Assessment
Chengdu University of Information Technology
2007-2024
Huawei Technologies (China)
2016-2023
Chinese Academy of Sciences
2015-2023
University of Chinese Academy of Sciences
2017-2023
Dongguan University of Technology
2023
Aerospace Information Research Institute
2023
Huawei Technologies (United Kingdom)
2021
Institute of Computing Technology
2016-2019
In 6G, it is envisaged that the function of sensing and communication will coexist be fully integrated in one system, sharing same resources time, frequency space domains, as well key elements including waveform, signal processing, hardware, etc. This paper discusses novel applications, performance requirements, challenges future research directions for Integrated Sensing Communication (ISAC) design 6G. First, four categories ISAC use cases are described new services 6G together with their...
TeraHertz (THz) communications are envisioned as a promising technology, owing to its unprecedented multiGHz bandwidth. In this paper, wideband channel measurement campaigns at 140 GHz and 220 conducted in indoor scenarios including meeting room an office room. Directional antennas utilized rotated for resolving the multi-path components (MPCs) angular domain. Comparable path loss values achieved bands. To investigate large-scale fading characteristics THz communications, single-band...
Abstract 6G is believed to go beyond communication and provide integrated sensing computing capabilities for a vision of Connected Intelligence with everything connected, sensed, intelligent. Integrated will play vital role the fusion physical cyber worlds. The exploration higher frequency bands, larger bandwidth, more advanced large antenna technologies paving way towards goal. In particular, study THz opens possibility have high resolution imaging capability on mobile device. this paper,...
This paper studies the novel learning scenarios of Distributed Online Multi-tasks (DOM), where individuals with continuously arriving data are distributed separately and meanwhile they need to learn individual models collaboratively. It has three characteristics: learning, online multi-task learning. is motivated by emerging applications wearable devices, which aim provide intelligent monitoring services, such as health emergency alarming movement recognition.
Pansharpening is crucial for obtaining high-resolution multispectral images. Existing deep learning-based pansharpening networks rely on supervised learning with external reference labels. Due to the lack of actual fusion results labeling, simulated degraded data used original image as result label. This process steps are cumbersome, which also leads problem scale degradation, and relationship between before after degradation cannot represent real relationship. To address these limitations,...
The key problem of constructing RBF neural networks is center selection. method adjusting the cluster centers used in dynamic K-means clustering algorithm to make choice network-center more accurate. This paper, first introduced structure Neural Networks (RBFNN) theory, and then applied selection RBFNN. Our Simulation results show that approximation RBFNN, whose determined by algorithm, has better performance stronger practicality.
In this paper, we propose a scatterer-based hybrid channel model framework for integrated sensing and communication (ISAC). The basic idea of the ISAC is to first generate scatterers in propagation environment then use simplified ray-tracing both channels. proposed aspect i.e., consists deterministic part stochastic part. from input geometry while constructed MPCs generated by 3GPP standardization framework. A method couple with avoid unrealistic ray propagation. To support application THz...
This paper proposed a new algorithm of facial feature extraction and recognition based on curvelet transform SVD (singular value decomposition). Firstly, the method carries to face images, extracts energy features low frequency high frequency, then singular compression fusion this component. Finally, by using nearest neighbor classifier in ORL person database, classified was carried out so that confirm validity algorithm.
Existing multi-view learning methods based on kernel function either require the user to select and tune a single predefined or have compute store many Gram matrices perform multiple learning. Apart from huge consumption of manpower, computation memory resources, most these models seek point estimation their parameters, are prone overfitting small training data. This paper presents an adaptive nonlinear max-margin model under Bayesian framework. Specifically, we regularize posterior...
Gaussian filtering has been extensively used in the field of surface metrology. However, computing performance becomes a core bottleneck for algorithm based applications when facing large-scale and/or real-time data processing. Although researchers tried to accelerate by using GPU (Graphics Processing Unit), single still fail meet and requirements texture micro- nano-measurements. Therefore, solve this problem, paper proposes node multi-GPUs framework 2D algorithm. This presents that devised...
There are many instances of intellectual property rights violations due to the common usage digital data on Internet, including unauthorised use, copying, and theft content. Intellectual photos must be upheld, as they very valuable materials. Digital watermarking is a more modern method do this. By using watermark (WM), owner's information included into content, which may then shared or saved. When required, this technology will retrieve encoded WM prove ownership. Different technologies...
As multipath components (MPCs) are experimentally observed to appear in clusters, cluster-based channel models have been focused the wireless study. However, most of MPC clustering algorithms for MIMO channels with delay and angle information MPCs based on distance metric that quantifies similarity two determines preferred cluster shape, greatly impacting quality. In this paper, a general framework Mahalanobis-distance is proposed analysis, without user-specified parameters. Remarkably,...
We discuss the measured propagation characteristics of E-Band radio signals in indoor office and closed meeting room scenarios for LOS (Line-of-Sight) NLOS (NonLine-of-Sight) conditions. A new wideband channel sounder with 2 GHz bandwidth (i.e. 72 ~ 74 GHz) was used measurements. In both scenarios, a horn antenna 40° HPBW at transmitter scanned directional 10° receiver. These measurement results show path loss exponent about 2.1 3.4 respectively. measurements are quite similar to values...