- Magnetic properties of thin films
- Quantum and electron transport phenomena
- Physics of Superconductivity and Magnetism
- Machine Learning in Bioinformatics
- Metal Alloys Wear and Properties
- Semiconductor materials and devices
- Metal and Thin Film Mechanics
- Advanced Computational Techniques and Applications
- Reservoir Engineering and Simulation Methods
- Cancer-related molecular mechanisms research
- RNA and protein synthesis mechanisms
- Hydrology and Watershed Management Studies
- Genomics and Phylogenetic Studies
- Seismic Imaging and Inversion Techniques
- CO2 Sequestration and Geologic Interactions
- Remote Sensing and Land Use
- Hydraulic Fracturing and Reservoir Analysis
- Magnetic and transport properties of perovskites and related materials
- Biometric Identification and Security
- Advanced Optical Sensing Technologies
- Semiconductor Quantum Structures and Devices
- Microstructure and Mechanical Properties of Steels
- Advanced Memory and Neural Computing
- Groundwater flow and contamination studies
- Diet, Metabolism, and Disease
Beijing Institute of Technology
2022-2025
Naval University of Engineering
2025
Yan'an University
2023-2024
Qujing Normal University
2023
University of Wyoming
2020-2022
Yanan University Affiliated Hospital
2022
Ocean University of China
2022
Huawei Technologies (China)
2022
Wyoming Department of Education
2022
Institute of Physics
2014-2020
Face Recognition has been studied for many decades. As opposed to traditional hand-crafted features such as LBP and HOG, much more sophisticated can be learned automatically by deep learning methods in a data-driven way. In this paper, we propose two-stage approach that combines multi-patch CNN metric learning, which extracts low dimensional but very discriminative face verification recognition. Experiments show method outperforms other state-of-the-art on LFW dataset, achieving 99.77%...
Different symmetry breaking ways determine various magnetization switching modes driven by spin-orbit torques (SOT). For instance, an applied or effective field parallel to current is indispensable switch with perpendicular anisotropy SOT. Besides of this mode, here we experimentally demonstrate a distinct field-free mode in T-type magnetic system structure MgO/CoFeB/Ta/CoFeB/MgO where layer tilted easy axis was coupled in-plane uniaxial axis. Current orthogonal both axes and thus also...
As an alternative angular momentum carrier, magnons or spin waves can be utilized to encode information and breed magnon-based circuits with ultralow power consumption non-Boolean data processing capability. In order construct such a circuit, it is indispensable design some electronic components both long magnon decay coherence length effective control over transport. Here we show that all-insulating junctions composed by magnetic insulator (MI1)/antiferromagnetic (AFI)/magnetic (MI2)...
Sequential Gaussian Simulation (SGSIM) as a stochastic method has been developed to avoid the smoothing effect produced in deterministic methods by generating various realizations. One of main issues this technique is, however, an intensive computation related inverse operation solving Kriging system, which significantly limits its application when several realizations need be for uncertainty quantification. In paper, physics-informed machine learning (PIML) model is proposed improve...
With the development of intelligent modern agriculture, strawberry harvesting robots play an increasingly important role in precision agriculture. However, existing vision systems face multiple challenges complex farmland environments, including fruit occlusion, difficulties recognizing fruits at varying ripeness levels, and limited real-time processing capabilities. This study proposes a keypoint detection 3D localization method for utilizing depth camera to address these challenges. By...
Besides spin-transfer torque, spin–orbit torque (SOT) provides us with another electrical way for developing magnetic random access memory (MRAM) based on tunnel junctions (MTJs). By using a CoFeB/Ta/CoFeB T-type structure as synthetic free layer, we have realized magnetic-field-free MTJ switchable by SOT. In the structure, an in-plane CoFeB layer is coupled to perpendicular via Ta spacer. The spacer not only mediates exchange coupling but also generates strong SOT, which drives sharp...
Double barrier heterostructures are model systems for the study of electron tunneling and discrete energy levels in a quantum well (QW). Until now resonant phenomena metallicQW have been observed limited thicknesses (1-2 nm) under which phase coherence is conserved. In present we show evidence QW resonance states Fe up to12 nmthick at room temperature fully epitaxial doubleMgAlOxbarrier magnetic tunnel junctions. The displayed this QWis unprecedented quality because ofa homogenous interface...
We report the Hanle magnetoresistance (HMR) due to spin precession of edge accumulation and interfacial current. Because spin-orbit coupling (SOC), an electric current is accompanied by a transverse current, which builds up at surfaces Pt across YIG/Pt interface. Once magnetic field applied, spins will decrease leads increased resistance via ISHE. Spin relaxation governs HMR from accumulation, while diffusion conversion play important roles in This work provides another method investigate...
SUMMARY Earthquake detection and localization are challenging since the seismic signal usually is noisy microearthquakes hidden in noise. Traditional methods often rely on manually picked phases or computationally intensive algorithms. Inspired by successful application of a deep learning model, ConvNetQuake, detecting locating events, we train an attention-based long short-term memory fully convolutional network (LSTM-FCN) model to improve location accuracy same data set. We use parallel...
The voltage noise characteristic and sensitivity of magnetic tunnel junction sensors are crucial for ultralow field detection. In this work, we used a soft material electrode Co70.5Fe4.5Si15B10 as sensing layer to improve the sensitivity. Then, bias along easy axis free was applied linearity manipulate sensors. More importantly, random telegraph suppressed by field, resulting in hysteresis-free performance. highest 3.9%/Oe best detectivity 4.5 nT/√ Hz at 10 without hysteresis have been...
Remanent electrical spin injection into an InGaAs/GaAs based quantum well light emitting diode is realized by using a perpendicularly magnetized MgO/CoFeB/Ta/CoFeB/MgO injector. We demonstrate that the Ta interlayer plays important role to establish perpendicular magnetic anisotropy and thickness of determines type exchange coupling between two adjacent CoFeB layers. They are ferromagnetically or antiferromagnetically coupled for 0.5 nm 0.75 nm, respectively. A circular polarized...
Abstract MicroRNAs (miRNAs) are human post-transcriptional regulators in humans, which involved regulating various physiological processes by the gene expression. The subcellular localization of miRNAs plays a crucial role discovery their biological functions. Although several computational methods based on miRNA functional similarity networks have been presented to identify miRNAs, it remains difficult for these approaches effectively extract well-referenced representations due insufficient...
The use of pretrained models from general computer vision tasks is widespread in remote sensing, significantly reducing training costs and improving performance. However, this practice also introduces vulnerabilities to downstream tasks, where publicly available can be used as a proxy compromise models. This paper presents novel Adversarial Neuron Manipulation method, which generates transferable perturbations by selectively manipulating single or multiple neurons Unlike existing attacks,...
MiRNA subcellular localizations (MSLs) are essential for uncovering and understanding miRNA functions in various biological processes. Several computational methods have been proposed measuring MSL. However, existing only rely on manually crafted features based sequence without considering RNA 3D structure information, most often single-model approaches, which fail to capture the full complexity of systems, further hindering predictive accuracy performance. In this study, we introduce a deep...
A composite (N-rGO@ppy) of N-doped reduced graphene oxide (N-rGO) coated with polypyrrole (ppy) particles was successfully synthesized. The incorporation N-rGO significantly mitigates the aggregation ppy synthesized in situ, and doped N atoms improve conductivity (GO), thereby enhancing N-rGO@ppy's redox properties. Firstly, a glassy carbon electrode (GCE) modified N-rGO@ppy (N-rGO@ppy/GCE) used combination bismuth film square-wave anodic stripping voltammetry (SWASV) for simultaneous trace...