A5056694985- Flame retardant materials and properties
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Generative Adversarial Networks and Image Synthesis
- Synthesis and properties of polymers
- Fire dynamics and safety research
- Wound Healing and Treatments
- Remote Sensing and Land Use
- Environmental and Industrial Safety
- Video Surveillance and Tracking Methods
- Olfactory and Sensory Function Studies
- Remote-Sensing Image Classification
- Domain Adaptation and Few-Shot Learning
- Nanopore and Nanochannel Transport Studies
- Electromagnetic wave absorption materials
- Visual Attention and Saliency Detection
- biodegradable polymer synthesis and properties
- Anomaly Detection Techniques and Applications
- Silk-based biomaterials and applications
- Robot Manipulation and Learning
- RNA Interference and Gene Delivery
- Gait Recognition and Analysis
- Fiber-reinforced polymer composites
Nankai University
2023
Wuhan Textile University
2010-2023
Zhejiang Lab
2021
ShanghaiTech University
2020
City University of Hong Kong
2020
Fuyang Normal University
2018
Institute of Software
2017
Chinese Academy of Sciences
2017
California NanoSystems Institute
2010
Institute for Molecular Medicine
2010
Nanoparticles are regarded as promising transfection reagents for effective and safe delivery of nucleic acids into a specific type cells or tissues providing an alternative manipulation/therapy strategy to viral gene delivery. However, the current process searching novel materials is limited due conventional low-throughput time-consuming multistep synthetic approaches. Additionally, approaches frequently accompanied with unpredictability continual optimization refinements, impeding flexible...
Generative Adversarial Nets (GANs) are one of the most popular architectures for image generation, which has achieved significant progress in generating high-resolution, diverse samples. The normal GANs supposed to minimize Kullback–Leibler divergence between distributions natural and generated images. In this paper, we propose Alpha-divergence Net (Alpha-GAN) adopts alpha as minimization objective function generators. can be regarded a generalization divergence, Pearson χ 2 Hellinger etc....
Abstract Epoxy resin (EP) have the disadvantage of high flammability and large amount smoke, which greatly restricts its wide application in basic material. In order to obtain EP with excellent smoke inhibition flame retardance, retardant called as PBO, both condensed phase gas flame‐retardant effects, was synthesized by reaction among p‐phenylenediamine, DOPO, indole‐3‐carboxaldehyde. From combustion results, containing PBO obtained V‐0 grade a significantly improvement from 22.5% 30.2%...
Feature space transformation techniques have been widely studied for dimensionality reduction in vector-based feature space. However, these are inapplicable to sequence data because the features same not independent. In this paper, we propose a method called max-min inter-sequence distance analysis (MMSDA) transform sequences into low-dimensional subspace such that different classes holistically separated. To utilize temporal dependencies, MMSDA first aligns from class an adapted number of...
Abstract Polyphenylene sulfide (PPS) filter bag is widely used in the field of high temperature filtration coal dust because its resistance and stable chemical properties. However, as nondegradable solid waste, incineration main solution for waste PPS materials which also brings harm to environment. To achieve green recycling efficient utilization material, utilized charring agent together with ammonium polyphosphate (APP) form a compound flame retardant improve retardancy epoxy resin (EP)....
Different spinnerets can be used to generate needleless electrospinning with the potential scale up production of nanofibers. However, performance, normally refers quality as-spun fiber and rate, is dramatically different from spinnerets. This study focuses on electric field under same experimental parameters so as understand key factors that affect performance upward electrospinning. Modeling analysis suggested could further concentrated by optimizing geometry spinneret. Experimental...
Abstract Due to redundancy in the spatiotemporal neighborhood and global dependency between video frames, recognition remains a challenge. Some prior works have been mainly driven by 3D convolutional neural networks (CNNs) or 2D CNNs with well‐designed module for temporal information. However, convolution‐based lack capability capture due limited receptive field. Alternatively, transformer is proposed build long‐range frame patches. Nevertheless, most transformer‐based significant...
In the domain of video recognition, transformers have demonstrated remarkable performance, albeit at significant computational cost. This paper introduces TSNet, an innovative approach for dynamically selecting informative tokens from given samples. The proposed method involves a lightweight prediction module that assigns importance scores to each token in video. Tokens with top are then utilized self-attention computation. We apply Gumbel-softmax technique sample output module, enabling...
As an important visual attribute for characterizing image objects, shape is always be investigated by researchers in pattern recognition and analysis fields. It provides the most relevant information about objects identification classification tasks. By using classical first-order second-order operator algorithms, this brief paper extracts boundaries of contour several sets. Then, generating explanatory variables based on newly proposed complex network method associated dynamic evolution was...