- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Geological Modeling and Analysis
- Domain Adaptation and Few-Shot Learning
- Image Retrieval and Classification Techniques
- Coding theory and cryptography
- Catalytic Processes in Materials Science
- Advanced Computational Techniques and Applications
- Seismic Imaging and Inversion Techniques
- Catalytic C–H Functionalization Methods
- X-ray Diffraction in Crystallography
- Advanced Fiber Optic Sensors
- Cryptographic Implementations and Security
- Surface Modification and Superhydrophobicity
- Icing and De-icing Technologies
- Multimodal Machine Learning Applications
- Chaos-based Image/Signal Encryption
- Crystallization and Solubility Studies
- Radical Photochemical Reactions
- Gas Sensing Nanomaterials and Sensors
- Wireless Sensor Networks and IoT
- Advanced MEMS and NEMS Technologies
- Neural Networks and Applications
- graph theory and CDMA systems
PLA Information Engineering University
2005-2025
Sun Yat-sen University
2024
Changchun University of Chinese Medicine
2019-2024
Northeastern University
2021-2024
China University of Mining and Technology
2023-2024
Harbin Engineering University
2024
Henan University
2019-2023
Harbin University of Science and Technology
2021-2023
Tianjin University
2022-2023
Delft University of Technology
2019-2022
A radical-based asymmetric olefin difunctionalization strategy for rapidly forging all-carbon quaternary stereocenters α to diverse azaarenes is reported. Under cooperative photoredox and chiral Brønsted acid catalysis, cyclopropylamines with α-branched 2-vinylazaarenes can undergo a sequential two-step radical process, furnishing various valuable azaarene-substituted cyclopentanes. The use of the rigid confined C2-symmetric imidodiphosphoric catalysts achieves high enantio-...
Unsupervised hashing is important for indexing huge image or video collections without having expensive annotations available. Hashing aims to learn short binary codes compact storage and efficient semantic retrieval. We propose an unsupervised deep layer called Bi-Half Net that maximizes entropy of the codes. Entropy maximal when both possible values bit are uniformly (half-half) distributed. To maximize entropy, we do not add a term loss function as this difficult optimize tune. Instead,...
Abstract. Unlike some other well-known challenges such as facial recognition, where machine learning and inversion algorithms are widely developed, the geosciences suffer from a lack of large, labelled data sets that can be used to validate or train robust schemes. Publicly available 3D geological models far too restricted in both number range scenarios serve these purposes. With reference inverting geophysical this problem is further exacerbated most cases real observations result unknown...
The functionalized graphene oxide (GO)-based composites as fillers added into organic coatings are desired for realizing the longstanding corrosion protection of carbon steel. Here, pH-responsive two-dimensional/three-dimensional (2D/3D) GO-based composite (ZIF-90-AAP/GO) was developed by environmentally friendly inhibitor 4-aminoantipyrine (AAP) anchored on in situ growth zeolite imidazolate framework-90 (ZIF-90) GO surface (ZIF-90/GO) through Schiff base reaction. active filler...
An enantioconvergent substitution of 3-substituted 3-chlorooxindoles with N-aryl glycines under visible light irradiation is reported. A transition-metal-free cooperative catalysis platform a dicyanopyrazine-derived chromophore (DPZ) as photoredox catalyst and chiral Brønsted acid effective for these transformations, which involve single-electron transfer redox step an enantioselective radical coupling. variety valuable 3-aminomethylene-3-substituted oxindoles can be directly synthesized...
The ubiquity of imine-containing azaarenes in pharmaceutically important molecules has inspired remarkable developments facile and precise catalytic synthesis strategies. Nonetheless, the methods to access valuable α-azaaryl-substituted tertiary amines α-amino acid derivatives are still extremely scarce. This situation can be ascribed weak electron-withdrawing capability strong basicity azaarenes, resulting poor reactivity substrates incompatibility previous enantiocontrol modes used yield...
China's transition into an aging society is accelerated by the simultaneous decline in fertility rates and prolonged life expectancy of older adults. The impact widowhood, a significant stressor old age, has emerged as crucial factor affecting quality among elderly. This study based on data from 2018 China Health Aging Tracking Survey. Multiple linear regression models were employed to investigate influence widowhood adults China. Additionally, Bootstrap mediation effects utilized assess...
Ice accumulation on the surface of outdoor equipment has adverse effects normal operation. The superhydrophobic attracted more attention because its nonwettability and good ice-shedding potential. However, poor stability seriously limits application. Here, robust coating with excellent performance was prepared by a facile spraying way. combination ethylene–propylene–diene terpolymer γ-aminopropyl triethoxysilane could significantly enhance robustness stability. can be directly sprayed...
Current weakly supervised object localization and segmentation rely on class-discriminative visualization techniques to generate pseudo-labels for pixel-level training. Such methods, including class activation mapping (CAM) Grad-CAM, use only the deepest, lowest resolution convolutional layer, missing all information in intermediate layers. We propose Zoom-CAM: going beyond last layer by integrating importance maps over activations Zoom-CAM captures fine-grained small-scale objects various...
Classification-based tracking strategies often face more challenges from intra-class discrimination than inter-class separability. Even for deep convolutional neural networks that have been widely proven to be effective in various vision tasks, their discriminative capability is still limited by the weakness of softmax loss, especially targets not seen training dataset. By taking intrinsic attributes samples into account, this paper, we propose a position-sensitive loss coupled with achieve...
In this paper, an optical fiber sensor is realized with multi-parameter measurement, including magnetic field, temperature and displacement. Then, the implementation of three-parameter independent measurement was performed. Among them, one Bragg gratings (FBG) coated giant magnetostrictive particle composite (GMPC) to measure another FBG used displacement, a micro-nano structure single mode (SMF)-tapering seven core (T-MCF-7)-SMF (S-TM7-S) applied temperature. Further, GMPC concentration...
The objective of this study was to explore the neuroprotective mechanism JDYZF in treating AD from perspective inflammation and intestinal microflora.A total 24 APP/PS1 mice were randomly divided into four groups: model (n = 6), low-dose high-dose positive drug six C57 used as control group. body weights diets all examined daily. After 8 weeks administration, learning memory evaluated by Morris water maze test. histopathological changes hippocampus, liver kidney observed HE staining after...
Deep learning algorithms are increasingly employed at the edge. However, edge devices resource constrained and thus require efficient deployment of deep neural networks. Pruning methods a key tool for as they can improve storage, compute, memory bandwidth, energy usage. In this paper we propose novel accurate pruning technique that allows precise control over output network size. Our method uses an optimal transportation scheme which make end-to-end differentiable automatically tunes...
Abstract. The three-dimensional (3D) visualization of geological structures and the dynamic simulation evolutionary processes are helpful when studying formation renowned features. However, most existing 3D modeling software is based on raster models, which unable to generate smooth boundaries. This work proposes a temporally (i.e., four-dimensional (4D)) method using parametric functions vector data structures, can dynamically build models well-known First, we extract typical features...
At present, the people are concerned about indoor environmental problems. The environment monitoring system is designed. paper designed and developed temperature humidity acquisition module combining DHT11 Arduino, wireless transceiver based ESP8266 to achieve a information. requirements, design, correlative hardware circuits, control flow chart software design depicted in details. This can realize data acquisition, processing, transmission, information client of phone. functions...