A5100781916- Formal Methods in Verification
- Cancer Immunotherapy and Biomarkers
- Advanced Control Systems Optimization
- Stability and Control of Uncertain Systems
- Fault Detection and Control Systems
- Advanced Image and Video Retrieval Techniques
- Adversarial Robustness in Machine Learning
- Lung Cancer Research Studies
- Advanced Optimization Algorithms Research
- Covalent Organic Framework Applications
- Advanced Neural Network Applications
- Metal-Organic Frameworks: Synthesis and Applications
- CAR-T cell therapy research
- Control Systems and Identification
- Cancer-related molecular mechanisms research
- Immunotherapy and Immune Responses
- Probabilistic and Robust Engineering Design
- Speech and Audio Processing
- Advanced Vision and Imaging
- Cancer Genomics and Diagnostics
- Medical Image Segmentation Techniques
- Music and Audio Processing
- Petri Nets in System Modeling
- Anomaly Detection Techniques and Applications
- Image Retrieval and Classification Techniques
Southern Medical University
2025
Nanfang Hospital
2025
University of Chinese Academy of Sciences
2019-2025
First Affiliated Hospital of Henan University
2025
Dalian Minzu University
2022-2025
University of Florida
2024-2025
Sichuan Agricultural University
2022-2025
Dalian Institute of Chemical Physics
2021-2025
Jilin University
2024-2025
Shenyang Agricultural University
2023-2025
An interactive framework for soft segmentation and matting of natural images videos is presented in this paper. The proposed technique based on the optimal, linear time, computation weighted geodesic distances to user-provided scribbles, from which whole data automatically segmented. weights are spatial and/or temporal gradients, without explicit optical flow or any advanced often computationally expensive feature detectors. These could be naturally added as well if desired, form distances....
Although tremendous success has been achieved for interactive object cutout in still images, accurately extracting dynamic objects video remains a very challenging problem. Previous systems present two major limitations: (1) reliance on global statistics, thus lacking the ability to deal with complex and diverse scenes; (2) treating segmentation as optimization, practical workflow that can guarantee convergence of desired results. We Video SnapCut , robust system significantly advances...
This review systematically introduces how to regulate the electronic structure and geometric configuration of atomic catalysts achieve high-efficiency electrocatalysis performances by analyzing detailed electrocatalytic applications mechanisms.
665 Background: This single-arm phase II trial was conducted to evaluate the efficacy and safety of neoadjuvent disitamab vedotin (DV, a HER2-targetted monoclonal antibody conjugated with monomethyl auristatin E) plus perioperative toripalimab (an anti-PD-1 inhibitor) in MIBC patients (pts) HER2 expression. The preliminary results showed promising acceptable neoadjuvant treatment DV pts HER2-expressing (Sheng, et al. ASCO Annual meeting 2024). Methods: Key eligibility criteria included...
In recent years, Weibo has greatly enriched people's life. More and more people are actively sharing information with others expressing their opinions feelings on Weibo. Analyzing emotion hidden in this can benefit online marketing, branding, customer relationship management monitoring public opinions. Sentiment analysis is to identify the emotional tendencies of microblog messages, that classify users' emotions into positive, negative neutral. This paper presents a novel model build...
Capturing document images is a common way for digitizing and recording physical documents due to the ubiquitousness of mobile cameras. To make text recognition easier, it often desirable digitally flatten image when sheet folded or curved. In this paper, we develop first learning-based method achieve goal. We propose stacked U-Net [25] with intermediate supervision directly predict forward mapping from distorted its rectified version. Because large-scale real-world data ground truth...
Abstract Uncontrolled Zn dendrites and undesirable side reactions such as self‐corrosion hydrogen evolution reaction (HER) remain major challenges for the further development of aqueous batteries (AZBs). In this study, macrolide antibiotics are proposed to be added electrolyte, serving ionophores modulate 2+ solvation structure, regulate electrodeposition, suppress parasitic reactions. Azithromycin (Azi), a representative antibiotic, is demonstrated undergo bidentate coordination with ions...
Owing to its prominent π-delocalization and stability, vinylene linkage holds great merits in the construction of covalent organic frameworks (COFs) with promising semiconducting properties. However, carbon-carbon double bond formation reaction always exhibits relatively low reversibility, unfavorable for high crystalline through self-error correction assembling processes. In this work, we report a heteroatom-tuned strategy build up series two-dimensional (2D) vinylene-linked COFs by...
Because of the regular annual harvest, Phragmites australis used in wetland protection produces an abundance straw, resulting a large amount straw waste. As result, extra should be convenient and efficient manner. A comprehensive analysis P. use Pleurotus cultivation spent mushroom substrate compost was performed this study to increase its value. The lignocellulose content shown meet nutritional requirements mushroom. Immediately thereafter, replacement bagasse with proved reasonable for...
This study proposes a chalcogenide-based hollow-core anti-resonant reflecting optical waveguide sensor, featuring an easy fabrication process and exhibiting highly sensitive dual-gas sensing capabilities.
Although tremendous success has been achieved for interactive object cutout in still images, accurately extracting dynamic objects video remains a very challenging problem. Previous systems present two major limitations: (1) reliance on global statistics, thus lacking the ability to deal with complex and diverse scenes; (2) treating segmentation as optimization, practical workflow that can guarantee convergence of desired results.
Anomaly detection on road traffic is a fundamental computer vision task and plays critical role in video structure analysis urban analysis. Although it has attracted intense attention recent years, remains very challenging problem due to the complexity of scene, dense chaos flow lack fine-grained abnormal labeled data. In this paper, we propose multi-granularity tracking approach with modularized components analyze anomaly detection. The framework consists module, background modeling mask...
In this paper, we propose a convex programming based method to address long-standing problem of inner-approximating backward reachable sets state-constrained polynomial systems subject time-varying uncertainties. The set is states, from which all trajectories starting will surely enter target region at the end given time horizon without violating state constraints in spite actions It equal zero sublevel unique Lipschitz viscosity solution Hamilton-Jacobi partial differential equation (HJE)....
In this technical report, we present a joint effort of four groups, namely GT, USTC, Tencent, and UKE, to tackle Task 1 - Acoustic Scene Classification (ASC) in the DCASE 2020 Challenge. comprises two different sub-tasks: (i) 1a focuses on ASC audio signals recorded with multiple (real simulated) devices into ten fine-grained classes, (ii) 1b concerns classification data three higher-level classes using low-complexity solutions. For 1a, propose novel two-stage system leveraging upon ad-hoc...
To improve device robustness, a highly desirable key feature of competitive data-driven acoustic scene classification (ASC) system, novel two-stage system based on fully convolutional neural networks (CNNs) is proposed. Our leverages an ad-hoc score combination two CNN classifiers: (i) the first classifies inputs into one three broad classes, and (ii) second same ten finergrained classes. Three different architectures are explored to implement classifiers, frequency sub-sampling scheme...
Abstract Cerebral cavernous malformations (CCMs) and spinal cord (SCCMs) are common vascular abnormalities of the CNS that can lead to seizure, haemorrhage other neurological deficits. Approximately 85% patients present with sporadic (versus congenital) CCMs. Somatic mutations in MAP3K3 PIK3CA were recently reported CCM, yet it remains unknown whether mutation is sufficient induce Here we analysed whole-exome sequencing data for CCM found ∼40% them have a single, specific [c.1323C>G...
Autism spectrum disorder (ASD) is a lifelong neurodevelopmental with very high prevalence around the world. Research progress in field of ASD facial analysis pediatric patients has been hindered due to lack well-established baselines. In this paper, we propose use Vision Transformer (ViT) for computational ASD. The presented model, known as ViTASD, distills knowledge from large expression datasets and offers model structure transferability. Specifically, ViTASD employs vanilla ViT extract...
Background Immune checkpoint inhibitors (ICIs) have achieved substantial advancements in clinical care. However, there is no strong evidence for identified biomarkers of ICIs NPC.
Polycyclic aromatic hydrocarbons (PAHs) hold the predominant role either as individual molecules or building blocks in field of organic semiconductors nanocarbons. Connecting PAHs via sp