A5101792833- Bayesian Modeling and Causal Inference
- Time Series Analysis and Forecasting
- Metamaterials and Metasurfaces Applications
- Mobile Crowdsensing and Crowdsourcing
- Rough Sets and Fuzzy Logic
- Chaos-based Image/Signal Encryption
- Hate Speech and Cyberbullying Detection
- Text and Document Classification Technologies
- Face and Expression Recognition
- Advanced Neural Network Applications
- Noise Effects and Management
- Impact of Technology on Adolescents
- Wikis in Education and Collaboration
- Radiomics and Machine Learning in Medical Imaging
- Fault Detection and Control Systems
- Sports Analytics and Performance
- Spreadsheets and End-User Computing
- Cognitive Science and Mapping
- Medical Image Segmentation Techniques
- Risk and Safety Analysis
- Big Data Technologies and Applications
- Electrical Fault Detection and Protection
- Advanced Steganography and Watermarking Techniques
- Bullying, Victimization, and Aggression
- Service-Oriented Architecture and Web Services
Shanghai University
2025
Hefei University of Technology
2021-2024
Shanghai Jiao Tong University
2021-2022
Qiqihar University
2020
Ningxia University
2020
Jiangxi Normal University
2019
Shandong University of Finance and Economics
2008
This paper proposes a color image encryption algorithm based on cloud model Fibonacci chaotic system, as well matrix convolution operation that can protect content effectively and safely. The combines the with generalized Fibonacci, creating new complex system realizes dynamic random variation of sequences. sequence is used to scramble pixel coordinates mosaic images R, G, B components image. Then, value alternately updates input obtain permutation transformation original value. Finally,...
We propose a high-quality multispectral plasmonic sensor by coating dielectric grating on the semiconductor-metal-semiconductor stacks. Ultra-narrow resonances with minimum bandwidth of 8 nm are insensitive to polarization incident light. The ultra-narrow multi-band phenomenon can be ascribed synergy guided mode resonances, cavity modes and surface plasmon polaritons. displays superior refractive index sensitivity (404.295 nm/RIU) figure merit (50.3) also used detect protein layer in...
Semi-supervised learning has attracted wide attention from many researchers since its ability to utilize a few data with labels and relatively more without learn information. Some existing semi-supervised methods for medical image segmentation enforce the regularization of training by implicitly perturbing or networks perform consistency. Most consistency focus on level network structure level, rarely them task level. It may not directly lead an improvement in accuracy. To overcome problem,...
Aiming at the structural learning problem of additive noise model in causal discovery and challenge massive data processing era artificial intelligence, this paper combines partial rank correlation coefficients proposes two new Bayesian network structure algorithms: PRCB algorithm based on threshold selection PRCS hypothesis testing. We mainly made three contributions. First, we proved that coefficient can be used as standard independence test, explored distribution corresponding statistics....
Abstract As a new type of acoustic functional material, phononic crystal has great research value and application environment. It is periodic structure two or more elastic materials, which are derived from photonic crystals. The main work on crystals focuses the band gap formation mechanisms Bragg scattering local resonance, some methods vibration reduction noise can be obtained by studying its banding mechanism. Similarly, “metamaterial” been proposed for ability to achieve reduction,...
Recognition of amount in figures the financial multi-bill scenes is crucial for automatic banking business. However, diversity business and limitation customer data privacy determine that it difficult to collect a large number sample datasets. Aiming at problem insufficient training low accuracy detection model, this article proposes new generative adversarial network (GAN) generate samples expand bill dataset, which then adopted train framework recognition amount. In proposed WGAN-SA,...
Tree of Thoughts (ToT) is a reasoning strategy for Large Language Models (LLMs) that employs generator to suggest steps and discriminator decide which implement. ToT demonstrates strong performance on tasks, often surpassing simple methods such as Input-Output (IO) prompting Chain-of-Thought (CoT) reasoning. However, does not consistently outperform simpler across all models, leaving large knowledge gaps the conditions under most beneficial. In this paper, we analyze roles separately better...
In order to solve the problem of resources sharing from different servers on Internet or Intranet, a distributed platform based HBWSP and XML has bean designed implemented in this paper. Developed Java programming language with as its way organization, dynamic communication among making use commuting. This can not only serve an effective search engine, but also avoid duplicate development resources.
This paper presents a unique challenge aimed at learning models that capture volunteers' task participation and collaboration behaviors, using data collected from mobile volunteer crowdsourcing platform. The dataset utilized for this comprises activity records of 68,682 users during the period 2020-2022 in Shenzhen, China. is designed to address two specific tasks: first, predicting retention based on their historical participation, secondly, forecasting future collaborations between pairs...
Identifying causal relationships from observational time-series data is a key problem in dealing with complex dynamical systems such as the industrial or natural climate fields. Data-driven network construction challenging since sets are often high-dimensional and nonlinear. In response to this challenge, paper combines partial rank correlation coefficients proposes new structure learning algorithm, TS-PRCS, suitable for models. article, we mainly make three contributions. First, proved that...