- Optical Polarization and Ellipsometry
- Optical and Acousto-Optic Technologies
- Photonic and Optical Devices
- Color Science and Applications
- Photoacoustic and Ultrasonic Imaging
- Expert finding and Q&A systems
- Topic Modeling
- Image Enhancement Techniques
- Acupuncture Treatment Research Studies
- Empathy and Medical Education
- Spectroscopy Techniques in Biomedical and Chemical Research
- Advanced Electron Microscopy Techniques and Applications
- Random lasers and scattering media
- Complementary and Alternative Medicine Studies
- Visual perception and processing mechanisms
- Natural Language Processing Techniques
- Sparse and Compressive Sensing Techniques
- Color perception and design
- Advanced Fluorescence Microscopy Techniques
- Advanced Optical Imaging Technologies
- Optical Imaging and Spectroscopy Techniques
- Near-Field Optical Microscopy
Zhejiang University
2018-2021
State Key Laboratory of Modern Optical Instruments
2018-2021
Shandong University
2017
Lutheran Medical Center
2006
Abstract Many applications requiring both spectral and spatial information at high resolution benefit from imaging. Although different technical methods have been developed commercially available, computational cameras represent a compact, lightweight, inexpensive solution. However, the tradeoff between resolutions, dominated by limited data volume environmental noise, limits potential of these cameras. In this study, we deeply learned broadband encoding stochastic hyperspectral camera....
Abstract Computational spectroscopic instruments with broadband encoding stochastic (BEST) filters allow the reconstruction of spectrum at high precision only a few filters. However, conventional design manners BEST are often heuristic and may fail to fully explore potential The parameter constrained spectral encoder decoder (PCSED)—a neural network‐based framework—is presented for in instruments. By incorporating target response definition optical procedures comprehensively, PCSED links...
We aim at summarizing answers in community question-answering (CQA). While most previous work focuses on factoid question-answering, we focus the non-factoid question-answering. Unlike CQA, usually requires passages as answers. The shortness, sparsity and diversity of form interesting challenges for summarization. To tackle these challenges, propose a sparse coding-based summarization strategy that includes three core ingredients: short document expansion, sentence vectorization,...
In using a laser light source, it becomes possible to realize an ultra-wide display gamut that approaches the human color vision limit. This paper introduces method for extremely large optimization different primary numbers, and offers set produces nearly ultimate gamut. Considering lightness, we calculated wavelength selection lightness design of with 3-9 primaries in CIELAB uniform space (UCS) by optimizing coverage optimal Theoretically maximum area 3-12 CIE xy u'v' chromaticity diagrams...
In super-resolution optical microscopes, aberrations often compromise the image performances by reducing its resolution and contrast. previous works, in stimulated emission depletion (STED) microscopy single-molecule localization (SMLM) have been well investigated, while research on structured illumination (SIM) is not sufficient, researchers always poured attention into only detection path. this paper, we investigate SIM a comprehensive manner, their causes effects both paths are discussed....
This paper introduces a method for an extremely wide display gamut optimization different primary numbers. Considering luminance efficacy of radiation (LER), the can be used in primitive color design practical display, especially multi‐primary ultra‐wide displays such as QD‐LED or laser display.
Computational spectroscopic instruments with Broadband Encoding Stochastic (BEST) filters allow the reconstruction of spectrum at high precision only a few filters. However, conventional design manners BEST are often heuristic and may fail to fully explore encoding potential The Parameter Constrained Spectral Encoder Decoder (PCSED) - neural network-based framework is presented for in instruments. By incorporating target spectral response definition optical procedures comprehensively, PCSED...