- Distributed Control Multi-Agent Systems
- Nonlinear Dynamics and Pattern Formation
- Mathematical and Theoretical Epidemiology and Ecology Models
- Nonlinear Differential Equations Analysis
- Neural Networks Stability and Synchronization
- Fixed Point Theorems Analysis
- Micro and Nano Robotics
- Advanced Neural Network Applications
- Mathematical Biology Tumor Growth
- stochastic dynamics and bifurcation
- Opinion Dynamics and Social Influence
- Image Enhancement Techniques
- Differential Equations and Numerical Methods
- Fractional Differential Equations Solutions
- Numerical methods for differential equations
- Advanced Vision and Imaging
- Evolutionary Game Theory and Cooperation
- Complex Network Analysis Techniques
- Auction Theory and Applications
- Advanced Memory and Neural Computing
- Topic Modeling
- Speech and dialogue systems
- Traditional Chinese Medicine Analysis
- Advanced Differential Equations and Dynamical Systems
- Consumer Market Behavior and Pricing
National University of Defense Technology
2014-2025
Chinese Academy of Medical Sciences & Peking Union Medical College
2022-2025
Lanzhou University
2023-2025
National University of Singapore
2025
Zhejiang Sci-Tech University
2024
Nanjing University
2024
Tsinghua University
2011-2024
University of Hong Kong
2024
Harbin Institute of Technology
2023-2024
China Academy of Chinese Medical Sciences
2024
View missing and label are two challenging problems in the applications of multi-view multi-label classification scenery. In past years, many efforts have been made to address incomplete learning or problem. However, few works can simultaneously handle case with both issues. this article, we propose a new network issue. The proposed method is composed four major parts: view-specific deep feature extraction network, weighted representation fusion module, decoder network. By, respectively,...
High-Definition (HD) maps are essential for the safety of autonomous driving systems. While existing techniques employ camera images and onboard sensors to generate vectorized high-precision maps, they constrained by their reliance on single-frame input. This approach limits stability performance in complex scenarios such as occlusions, largely due absence temporal information. Moreover, diminishes when applied broader perception ranges. In this paper, we present StreamMapNet, a novel online...
The processing delay is incorporated into the influence function of well-known Cucker–Smale model for self-organized systems with multiple agents. Both symmetric and non-symmetric pairwise functions are considered, a Lyapunov functional approach developed to establish existence flocking solutions proposed delayed model. An analytic formula given calculate asymptotic velocity in terms parameters variation position during initial time interval.
We define a new property which contains the (EA) for hybrid pair of single‐ and multivalued maps give some common fixed point theorems under contractive conditions. Our results extend previous ones. As an application, we partial answer to problem raised by Singh Mishra.
A primary hurdle of autonomous driving in urban environments is understanding complex and long-tail scenarios, such as challenging road conditions delicate human behaviors. We introduce DriveVLM, an system leveraging Vision-Language Models (VLMs) for enhanced scene planning capabilities. DriveVLM integrates a unique combination chain-of-thought (CoT) modules description, analysis, hierarchical planning. Furthermore, recognizing the limitations VLMs spatial reasoning heavy computational...
Chemoresistance is a major obstacle to successful chemotherapy for human non-small cell lung cancer (NSCLC). Astragaloside IV, the component of Astragalus membranaceus, has been reported exhibit anti-inflammation, anti-cancer and immunoregulatory properties. In present study, we investigated role astragaloside IV in chemoresistance cisplatin NSCLC cells.We established IV-suppressed lines including A549, HCC827, NCI-H1299 evaluated their sensitivity vitro. addition, examined mRNA protein...
Incomplete multi-view clustering (IMVC) aims to reveal shared structures within data, where only partial views of the samples are available. Existing IMVC methods primarily suffer from two issues: 1) Imputation-based inevitably introduce inaccurate imputations, which in turn degrade performance; 2) Imputation-free susceptible unbalanced information among and fail fully exploit information. To address these issues, we propose a novel method based on variational autoencoders. Specifically,...
Self-organizing systems arise very naturally in artificial intelligence, and physical, biological social sciences. In this paper, we modify the classic Cucker-Smale model at both microscopic macroscopic levels by taking target motion pattern driving forces into consideration. Such force functions are properly defined for line-shaped ball-shaped pattern. For modified with prescribed pattern, have analytically shown that there is a flocking an asymptotic velocity. This illustrated numerical...
This paper focuses on the problem of finite-time flocking with uniform minimal distance for second-order multi-agent systems. The solutions these issues can be viewed as reasonable explanations bird flocks or fish schools. A new discontinuous protocol, which combines a singular communication function weighted sum sign functions relative velocities among agents, is proposed to guarantee that agents attract and repel each other. Since weight singular, existence uniqueness theorem cannot...
This is a classical problem in mathematical physics to describe the dynamics of large-scale multi-agent systems. In this paper, we propose limit graphon integral-differential system with weight feature represent second-order delay system. We first study well-posedness, stability, and regularity When number agents tends infinity, prove that strongly converges Then, through novel perturbed energy function delayed matrix exponential estimate methods, give sufficient conditions for convergence...
This cross-sectional study aimed to investigate the association between TyG index and both obesity indicators hypertension among American adults. Data were drawn from 4,813 adults in 2013–2018 National Health Nutrition Examination Survey (NHANES). Multivariate logistic regression models indicated significant associations obesity-related indices with hypertension. Using Cox analysis, we examined relationship relation hypertensive prognosis, employing threshold effect analysis fitted smoothed...
Rather than catalyzing iterative glycosylation on a linear precursor, the putative bifunctional polysaccharide deacetylase/glycosyltransferase family 2 protein, IgtG, can install multiple glycosyl groups Ser residue of mature lasso peptide.
The Retrieval-Augmented Generation (RAG) has been proven to have a promising approach. It can address the limitations of purely generative models in knowledge-intensive tasks caused by their reliance on static, pre-trained knowledge. RAG addresses these challenges integrating retrieval mechanism with model, enabling dynamic access external knowledge sources during generation process. This paper presents comprehensive study framework, focusing its architecture, training strategies, and...
ABSTRACT In this paper, we investigate the dynamical behaviors of an orientation flocking model that incorporates state‐dependent delay. The research unfolds in three principal phases: First, establish global existence and uniqueness solutions for our system. Subsequently, develop a comprehensive theoretical framework provides sufficient conditions emergence phenomena. particular, remains valid regardless number particles . final phase analysis, perform systematic derivation mean‐field limit...
Significant evidence has been documented regarding the intricate connection between development of anal fistula (AF) and composition Body Mass Index (BMI). Nevertheless, due to inherent limitations reverse causality confounders in observational studies, this relationship remains unclarified. Our study aims reveal causal impact BMI AF, as well identify its associated risk factors, thereby providing a more comprehensive understanding complex interaction.