A5100360421- Photonic and Optical Devices
- Sparse and Compressive Sensing Techniques
- Face and Expression Recognition
- Text and Document Classification Technologies
- Plasmonic and Surface Plasmon Research
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Diffusion and Search Dynamics
- Advanced Fiber Laser Technologies
- Mechanical and Optical Resonators
- Gene Regulatory Network Analysis
- 3D Shape Modeling and Analysis
- Combustion and flame dynamics
- Receptor Mechanisms and Signaling
- Computer Graphics and Visualization Techniques
- Near-Field Optical Microscopy
- Stock Market Forecasting Methods
- Hydraulic Fracturing and Reservoir Analysis
- Image Processing and 3D Reconstruction
- Catalysts for Methane Reforming
- Laser Material Processing Techniques
- Quantum Dots Synthesis And Properties
- Advanced Combustion Engine Technologies
- Neural Networks and Reservoir Computing
- Formal Methods in Verification
University of International Business and Economics
2019-2025
Peking University
1999-2025
City University of Macau
2024
Shandong University of Science and Technology
2022
Beijing Union University
2015
Time series forecasting has played the key role in different industrial, including finance, traffic, energy, and healthcare domains. While existing literatures have designed many sophisticated architectures based on RNNs, GNNs, or Transformers, another kind of approaches multi-layer perceptrons (MLPs) are proposed with simple structure, low complexity, {superior performance}. However, most MLP-based methods suffer from point-wise mappings information bottleneck, which largely hinders...
Micro/nanoscale single photon source is a building block of on-chip quantum information devices. Owing to possessing ultrasmall optical mode volume, plasmon structures can provide large Purcell enhancement, however scattering and absorption are two barriers prevent them from being used in practice. To overcome these barriers, we propose the topological photonic structure containing resonant nanoantenna, where nanoantenna provides enhancement while crystal guides all light into its edge...
We consider problems of traffic matrix (TM) estimation and anomaly detection utilizing link-load measurements. Models including structure regularized monitoring (SRTM) dynamic SRTM (DSRTM) are presented to realize under static routing configurations, respectively. Considering that real data usually approximately low-rank but exhibit strong spatial temporal dependencies, we define regularization matrices based on Moore-Penrose pseudoinverse Laplacian structurally regularize the TM variables....
Summary Predicting well production in unconventional reservoirs has attracted much attention recent years. However, it is still a challenge because of the heterogeneity formation and uncertain physical properties rock fluid-flow mechanism. Therefore, objective our study to develop an efficient method for forecast low-permeability reservoirs. In this paper, we applied locality preserving projection (LPP) -based machine-learning provide novel way predicting Our model preserves local geometric...
The strong confined electromagnetic field in the micro/nano photonic structures brings new opportunities for research of interaction between light and matter. By designing optical modes, can be controlled to realize reversible or inreversible energy exchange photons emitters at scale. Here, we review basic principles matter cavity quantum electrodynamics their recent advances coupling based on such as plasmon nanostructures, whispering gallery resonators crystals. These works opening...
In this article, we prove new connections between two frameworks for analysis and control of Boolean networks: the invariant subspace framework quotient framework. Each method, in different ways, produces a smaller model but preserves enough information about original network. We make precise connection models reduced by methods. The results show equivalence approaches wide classes problems.
Chiral photon-emitter coupling has been extensively explored in its non-reciprocal property, which results from spin-locked photon transmission. It manifests the potential on-chip devices, such as optical isolators and routing quantum networks. However, enhancement of chiral coupling, seldom studied, remains wanting. Here, we numerically propose a gap-plasmon-emitter system demonstrating large Purcell with effective nanoscale Owing to strong field high transverse spin momentum (TSM) gap...
A probabilistic Boolean network (PBN) is a discrete-time system composed of collection networks between which the PBN switches in stochastic manner. This article focuses on study quotients PBNs. Given and an equivalence relation its state set, we consider transition that generated by PBN; resulting quotient then automatically captures behavior this PBN. We therefore describe method for obtaining generates transitions system. Applications description are discussed, it shown PBNs, controller...
Due to the emerging requirement of point cloud applications, efficient compression methods are in high demand for compact representation limited bandwidth transmission. The standard GPCC (Geometry-based Point Cloud Compression) is led by MPEG (Moving Picture Expert Group) respond industrial requirements. KNN (K-Nearest Neighbors) search based prediction method adopted attribute current G-PCC, which only exploits Euclidean distance-based geometric relationship without fully consideration...
This paper studies sparse regularization image deconvolution scheme over the space of measures. method is natural extension ℓ1 norm vectors to setting The proposed model composed data fitting term and term. parameter controls degree sparsity solution, promotes sparsity, ℓ2 smoothness while preserving edges. We use convex analysis tools get a simple iterative algorithm. Extensive experiments on deblurring inpainting verify effectiveness
Potassium dihydrogen phosphate (KDP) is commonly used for frequency conversion and optical switching applications in many high-power laser systems. Such require high damage threshold of KDP crystals. Damage behavior has been investigated years, the results show that intrinsic or extrinsic defects are responsible highly localized absorption materials, turn will cause damage. In this paper, we studied properties crystals at wavelengths 355 nm by using a three-dimensional (3D) photothermal...
We study the multimodal and mixmodal data-driven supervised structural sparse subspace learning problem in this paper, present α-structural regularization based hierarchical locality analysis (α-SRHLA) model. Unlike most existing models that merely constrain cardinalities of basis vectors, α-SRHLA model takes into account correlations original data variables generates "variable groups"for learning. As a result, sparsity is induced scale variable group instead single variable, i.e.,...
We theoretically demonstrate the coupling coefficient enhancement in cavity quantum electrodynamics system via a nanogap between dielectric nanotoroid and nanowire. © 2019 The Author(s)
We consider in this paper two kinds of complex data, i.e., multimodal and mixmodal aim to develop data-driven learning models exploit the intrinsic characteristics data. An l <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">α</sub> -regularization-based sparse semi-supervised graph embedding (SSGE) model for feature extraction upon data is presented by incorporating hierarchical locality with non-convex sparsity, facilitating better...