A5003033968- Structural Health Monitoring Techniques
- Image and Signal Denoising Methods
- Advanced Battery Materials and Technologies
- Advancements in Battery Materials
- Conducting polymers and applications
- Statistical and numerical algorithms
- Domain Adaptation and Few-Shot Learning
- Advanced Adaptive Filtering Techniques
- Click Chemistry and Applications
- Near-Field Optical Microscopy
- Supercapacitor Materials and Fabrication
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- Organic Chemistry Cycloaddition Reactions
- Photonic Crystals and Applications
- Generative Adversarial Networks and Image Synthesis
- 3D Printing in Biomedical Research
- Photochromic and Fluorescence Chemistry
- Advanced Statistical Methods and Models
- Control Systems and Identification
- Chemical Synthesis and Analysis
- Magnetic Properties and Synthesis of Ferrites
- Fault Detection and Control Systems
- Machine Learning and Data Classification
- Cyclization and Aryne Chemistry
Institute of Computing Technology
2025
University of Chinese Academy of Sciences
2025
China University of Mining and Technology
2023-2024
Nanyang Technological University
2024
Chinese People's Liberation Army
2024
University of Delaware
1994-2018
Newark Hospital
2018
Distinguishing two objects or point sources located closer than the Rayleigh distance is impossible in conventional microscopy. Understandably, task becomes increasingly harder with a growing number of particles placed close proximity. It has been recently demonstrated that subwavelength nanoparticles closely packed clusters can be counted by AI-enabled analysis diffraction patterns coherent light scattered cluster. Here, we show deep learning return actual positions The Pearson correlation...
A new technique is described for the patterning of cell-guidance cues in synthetic extracellular matrices.
This paper introduces the concept of complex weighted median (WM) filtering admitting weighting. Unlike previous approaches in literature that only allowed positive real-valued weights, new WM structures exhibit improved performance as they exploit richness unrestricted To this end, newly defined synthesize operations, whereas prior could attain smoothing properties due to inherent constraints imposed on weights. In order overcome two-dimensional (2-D) search burden associated with...
Weighted medians over multichannel signals are not uniquely defined. Due to its simplicity, Astola 's Vector Median (VM) has received considerable attention particularly in image processing applications. In this paper, we show that the VM and direct extension limited as they do fully utilize cross-channel correlation. fact, treats all sub-channel components independent of each other. By revisiting principles Maximum Likelihood estimation location a multivariate signal space, propose two new...
This paper focuses on extending the weighted median for use with multidimensional (multichannel) signals. Sorting multicomponent (vector) values and selecting middle value is not well defined as in scalar case. introduces two based multivariate filtering structures inspired by ML estimates of location spaces. Unlike Astola's vector filter, multichannel filter introduced this are able to exploit spatial cross-channel correlations embedded data. Adaptive optimization algorithms filters...
In this paper, we show that the optimization needed to solve least absolute deviations (LAD) regression problem can be viewed as a sequence of maximum likelihood estimates (MLE) location. The derived algorithm reduces an iterative procedure where simple coordinate transformation is applied during each iteration direct along edge lines cost surface, followed by MLE estimate location which executed weighted median operation. Requiring medians only, new easily modularized for hardware...
Weighted median (WM) filtering structures for complex-valued samples have been proposed but none of them allows the use weights. This paper defines weighting filters with input samples. Two different approaches to handling weights in complex domain are presented, both derived from characteristics linear filters, resulting two definitions weighted filter. The LMS optimizations schemes also presented. Simulations shown illustrating performance new WM filter compared previous problem and...