A5029007002- Advanced Memory and Neural Computing
- Magnetic properties of thin films
- Ferroelectric and Negative Capacitance Devices
- Corrosion Behavior and Inhibition
- Multiferroics and related materials
- Image Processing Techniques and Applications
- Domain Adaptation and Few-Shot Learning
- Face recognition and analysis
- Biometric Identification and Security
- Transition Metal Oxide Nanomaterials
- Polymer composites and self-healing
- Magnetic and transport properties of perovskites and related materials
- Human Pose and Action Recognition
- Magnetic Properties and Applications
- Forensic and Genetic Research
- Magnesium Oxide Properties and Applications
- Ferroelectric and Piezoelectric Materials
- Conducting polymers and applications
- Advanced Vision and Imaging
- Concrete Corrosion and Durability
- ZnO doping and properties
- Physics of Superconductivity and Magnetism
- Spacecraft and Cryogenic Technologies
- Video Surveillance and Tracking Methods
- Characterization and Applications of Magnetic Nanoparticles
Xi’an University
2025
Zhengzhou University
2021-2024
Shanghai Jiao Tong University
2021-2023
National University of Defense Technology
2021-2023
Shanghai University of Engineering Science
2019-2021
Nanjing University
2015-2021
Zhejiang University
2021
Air Force Engineering University
2019-2020
Dalian Maritime University
2018-2020
Zhejiang A & F University
2019
Commercial lead-based piezoelectric materials raised worldwide environmental concerns in the past decade. Bi₀.₅Na₀.₅TiO₃-based solid solution is among most promising lead-free candidates; however, depolarization of these solutions a longstanding obstacle for their practical applications. Here we use strategy to defer thermal depolarization, even render depolarization-free 0-3-type composites. This achieved by introducing semiconducting ZnO particles into relaxor ferroelectric...
Abstract Chromatic adaptation refers to the sensing and preprocessing of spectral composition incident light on retina, it is important for color‐image recognition. It challenging apply sensing, memory, processing functions color images via same physical process using complementary metal–oxide–semiconductor technology because redundant data detection, complicated signal conversion processes, requirement additional memory modules. Inspired by highly efficient chromatic human a 2D...
Generalizable face anti-spoofing (FAS) based on domain generalization (DG) has gained growing attention due to its robustness in real-world applications. However, these DG methods rely heavily labeled source data, which are usually costly and hard access. Comparably, unlabeled data far more accessible various scenarios. In this paper, we propose the first Unsupervised Domain Generalization framework for Face Anti-Spoofing, namely UDG-FAS, could exploit large amounts of easily learn...
Generalizable face anti-spoofing (FAS) has drawn growing attention due to its robustness unseen real scenarios. Existing domain generalization methods leverage adversarial learning or meta-learning mitigate the bias and improve generalizability. However, these are heuristic suffer from complicated min-max problems cumbersome meta-updates. In this paper, we propose a simple yet effective Causal Intervention method for generalizable Face Anti-Spoofing, namely CIFAS. Firstly, figure out...
Abstract With the increase in construction on soft clay, accurately assessing its consolidation behavior has become crucial. This paper presents a system using fractional‐derivative models. The Caputo Merchant model (FDMM) was used to simulate soil skeleton deformation, and Riemann‐Liouville (R‐L) Darcy (FDDM) adopted describe water flow within clay. efficiency of R‐L FDDM verified literature data. one‐dimensional rheological equation derived. reliability numerical procedure examined by...
Domain Generalization (DG) has achieved great success in generalizing knowledge from source domains to unseen target domains. However, current DG methods rely heavily on labeled data, which are usually costly and unavailable. Since unlabeled data far more accessible, we study a practical unsupervised domain generalization (UDG) problem. Learning invariant visual representation different views, i.e., contrastive learning, promises well semantic features for in-domain learning. it fails...
Single-cell RNA sequencing (scRNAseq) data always involves various unwanted variables, which would be able to mask the true signal identify cell-types. More efficient way of dealing with this issue is extract low dimension information from high dimensional gene expression represent cell-type structure. In past two years, several powerful matrix factorization tools were developed for scRNAseq data, such as NMF, ZIFA, pCMF and ZINB-WaVE. But existing approaches either are unable directly model...
Activation of silent synapses is great significance for the extension neural plasticity related to learning and memory. Inspired by activation via receptor insertion in synapses, we propose an efficient method activating artificial through intercalation Sn layered α-MoO3. capable switching on response α-MoO3 stimuli visible near infrared light decreasing bandgap. This mimics process synapses. The Sn-intercalated MoO3 (Sn-MoO3) exhibits persistent photoconductivity due donor impurity induced...
In this paper, an environmentally friendly waterborne polyurea (WPUA) emulsion and its corresponding coating were prepared, which was characterized by dynamic light scattering (DLS), Fourier transform infrared spectroscopy (FTIR), nuclear magnetic resonance (NMR), scanning electron microscopy (SEM). To improve the performance of coating, we doped sulfonated graphene (SG) into WPUA to prepare composite (SG/WPUA). SG can be uniformly dispersed in is stable for a long time (28 days) without...
The formation of charge density wave (CDW) is attributed to Fermi-surface nesting in textbooks, but this common paradigm challenged by recent studies that reveal the pronounced effects electron-phonon interaction and defects. Transition-metal dichalcogenide $\mathrm{Ta}{\mathrm{Te}}_{2}$, being a prototype at around 170 K, an ideal playground for exploring mechanism CDW. In work, we subtle effect defects on CDW through studying series...
Various inorganic fillers are proved to be desirable synergists improve the fire resistance of fire-retardant coatings. Herein, a functional filler (ANE) with flame retardant property was prepared by intercalating aluminum diethylphosphinate into microwave expanded vermiculite and grafting sodium stearate on its surface. The structure ANE fully characterized FTIR, XRD, XPS SEM analyses. Then applied melamine modified urea-formaldehyde resin produce test, TGA cone calorimeter test demonstrate...
In this paper, we consider the task of unsupervised object discovery in videos. Previous works have shown promising results via processing optical flows to segment objects. However, taking flow as input brings about two drawbacks. First, cannot capture sufficient cues when objects remain static or partially occluded. Second, it is challenging establish temporal coherency from flow-only input, due missing texture information. To tackle these limitations, propose a model for directly...