A5063784915- Visual perception and processing mechanisms
- Visual Attention and Saliency Detection
- Neural dynamics and brain function
- Medical Imaging Techniques and Applications
- Topological and Geometric Data Analysis
- Intestinal and Peritoneal Adhesions
- Advanced Image Fusion Techniques
- Surgical Sutures and Adhesives
- Force Microscopy Techniques and Applications
- Advanced Electron Microscopy Techniques and Applications
- Remote-Sensing Image Classification
- Bioinformatics and Genomic Networks
- Electron and X-Ray Spectroscopy Techniques
- Color perception and design
- Visual and Cognitive Learning Processes
- Image and Signal Denoising Methods
- Advanced Biosensing Techniques and Applications
- Environmental Monitoring and Data Management
- Gene expression and cancer classification
- Aesthetic Perception and Analysis
- Computability, Logic, AI Algorithms
- Layered Double Hydroxides Synthesis and Applications
- Data Visualization and Analytics
- Multisensory perception and integration
- Fractal and DNA sequence analysis
Zhejiang Chinese Medical University
2024-2025
Massachusetts Institute of Technology
2019-2025
University of Toronto
2022-2024
Wuhan University
2013-2024
Tsinghua University
2023
Northwestern University
2015-2019
University of California, Davis
2019
Northwestern University
2014
Columbia University
2012-2014
Peking University
2013
Microplastics quantification and classification are demanding jobs to monitor microplastic pollution evaluate the potential health risks. In this paper, microplastics from daily supplies in diverse chemical compositions shapes imaged by scanning electron microscopy. It offers a greater depth finer details of at wider range magnification than visible light microscopy or digital camera, permits further composition analysis. However, it is labour-intensive manually extract micrographs,...
A set of phenomena known as crowding reveal peripheral vision's vulnerability in the face clutter. Crowding is important both because its ubiquity, making it relevant for many real-world tasks and stimuli, window provides onto mechanisms visual processing. Here we focus on models underlying mechanisms. This review centers a popular class pooling models, well phenomenology that appears to challenge account. Using candidate high-dimensional model, gain intuitions about whether model suffices...
Across the natural world as well artificial worlds of maps, diagrams, and data visualizations, feature similarity (e.g., color shape) links spatially separate areas into sets. Despite a century study, it is yet unclear what mechanism underlies this gestalt grouping. One recent proposal that grouping-for example, seeing red, vertical, or square group-is just global selection those features. Although parsimonious, account makes counterintuitive prediction grouping strictly serial: A green...
The frontal eye fields (FEF) are thought to mediate response selection during oculomotor decision tasks. In addition, many FEF neurons have robust postsaccadic responses, but their role in postchoice evaluative processes (online performance monitoring) is only beginning become apparent. Here we report error-related neural activity while monkeys performed a biased speed-categorization task that enticed the animals make impulsive errors. Twenty-three percent of cells macaque coded an...
Abstract As mazes are typically complex, cluttered stimuli, solving them is likely limited by visual crowding. Thus, several aspects of the appearance maze – thickness, spacing, and curvature paths, as well texture both paths walls influence performance. In current study, we investigate effects perceptual design on maze-solving performance to understand role crowding complexity. We conducted two experiments using a set controlled stimuli examine path wall style rendering used for walls....
Postoperative adhesions (PAs) are a common complication after intraperitoneal surgery. Hydrogels physical barrier that prevents peritoneal adhesions, but their efficacy is still controversial. In this study, Laponites, layered two-dimensional nanoscale, incorporated into zwitterionic hydrogel (pSBLA) to enhanced biocompatibility and bioactivity develop nanocomposite for rapid prevention of postoperative recurrent adhesion. The anisotropic distribution charges in laponites results strong...
A set of phenomena known as crowding reveal peripheral vision's vulnerability in the face clutter. Crowding is important both because its ubiquity, making it relevant for many real-world tasks and stimuli, window provides onto mechanisms visual processing. Here we focus on models underlying mechanisms. This review centers a popular class pooling models, well phenomenology that appears to challenge account. Using candidate high-dimensional model, gain intuitions about whether model suffices...
Dian Yu, Michelle Cohn, Yi Mang Yang, Chun Yen Chen, Weiming Wen, Jiaping Zhang, Mingyang Zhou, Kevin Jesse, Austin Chau, Antara Bhowmick, Shreenath Iyer, Giritheja Sreenivasulu, Sam Davidson, Ashwin Bhandare, Zhou Yu. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint (EMNLP-IJCNLP): System Demonstrations. 2019.
Abstract Scanning/transmission electron microscopy (STEM) is a powerful characterization tool for wide range of materials. Over the years, STEMs have been extensively used in situ studies structural evolution and dynamic processes. A limited number STEM instruments are equipped with secondary (SE) detector addition to conventional transmitted detectors, i.e. bright-field (BF) annular dark-field (ADF) detectors. Such capable simultaneous BF-STEM, ADF-STEM SE-STEM imaging. These methods can...
Dear Editor, This letter is concerned with a new hyperspectral fusion paradigm by simultaneously fusing hyperspectral, multispectral, and panchromatic images. Seeking an efficient prior about the target image (HSI), vital for constructing accurate model in this problem. To end, work suggests novel sparse tensor using patch-based dictionary learning. It helps improve effectiveness of fully describing inherent structures high-resolution (HR) HSI. By further incorporating three additional data...
Seat belt detection is one of the important detecting functions and widely needed in field intelligent transportation system. However, research for which still limited terms increasing requirements at present. In this paper, algorithm vehicle seat belts on road proposed. And according to method discussed a type feature based gradient orientation employed describe detect belts. After image pre-processing, front window location human face detecting, finally extracted selected region conclusion...
Joint super-resolution and pansharpening (JSP) brings new insight into the spatial improvement of multispectral images. How to efficiently balance spectral qualities in JSP is important for deep learning-based approaches. To address this problem, we propose a unified interpretable network JSP, named UIJSP-Net. First, formulate problem as an optimization specially designed physical model based on relationship among result, image, panchromatic image. In particular, two priors are utilized...
Our visual system groups objects with similar features, such as colour, orientation, or shape. We argue that similarity grouping is nothing more than global selection of a certain feature value, red, horizontal, circular. This account makes the striking prediction only one group can be created at time. Here we provide most direct evidence yet for this proposal, using number estimation task forces simultaneous processing all objects. Multiple cues failed to produce in task, contrast...
Perceiving the world around us requires that we resolve ambiguity. This process is often studied in lab using ambiguous figures whose structures can be interpreted multiple ways. One class of contains ambiguity its depth relations, such either two surfaces could seen as being "front" an object. Previous research suggests selectively attending to a given location on objects bias perception region front. study asks whether distributed feature also toward Participants viewed...
Solving a maze effectively relies on both perception and cognition. Studying maze-solving behavior contributes to our knowledge about these important processes. Through psychophysical experiments modeling simulations, we examine the role of peripheral vision, specifically visual crowding in periphery, mental maze-solving. Experiment 1 measured gaze patterns while varying complexity, revealing direct relationship between complexity efficiency. Simulations task using vision model confirmed...
Monte Carlo Tree Search (MCTS) has recently emerged as a powerful technique for enhancing the reasoning capabilities of LLMs. Techniques such SFT or DPO have enabled LLMs to distill high-quality behaviors from MCTS, improving their performance. However, existing distillation methods underutilize rich trajectory information generated by limiting potential improvements in LLM reasoning. In this paper, we propose AlphaLLM-CPL, novel pairwise training framework that enables self-improve through...
DarkSHINE is a newly proposed fixed-target experiment initiative to search for the invisible decay of Dark Photon via missing energy/momentum signatures, based on high repetition rate electron beam be deployed/delivered by Shanghai High XFEL and Extreme light facility (SHINE). This report elaborates baseline design introducing physics goals, experimental setups, details each sub-detector system technical designs, signal backgground modelings, expected sensitivities future prospects, which...
Postoperative adhesions (PAs) are a common complication after intraperitoneal surgery. Hydrogels physical barrier that prevents peritoneal adhesions, but their efficacy is still controversial. In this study, Laponites, layered two-dimensional nanoscale, incorporated into zwitterionic hydrogel (pSBLA) to enhanced biocompatibility and bioactivity develop nanocomposite for rapid prevention of postoperative recurrent adhesion. The anisotropic distribution charges in laponites results strong...
Effective strategies for managing chronic wounds include rapid hemostasis, infection control, and excessive infiltration of inflammatory factors. Herein, we report a microenvironment self-adaptive multifunctional hydrogel dressing with intrinsic antimicrobial anti-inflammatory properties that promotes collagen deposition angiogenesis accelerates large-scale wound healing. This hydrogel, synthesized based on the gelatin (Gel) dextran (DT) backbone, adapts to irregular shapes coagulation by...