A5100775080- Advanced Sensor and Energy Harvesting Materials
- Conducting polymers and applications
- Privacy-Preserving Technologies in Data
- Bacteriophages and microbial interactions
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Smart Grid Security and Resilience
- Asthma and respiratory diseases
- Innovative Energy Harvesting Technologies
- Robotics and Sensor-Based Localization
- Cancer Research and Treatments
- Layered Double Hydroxides Synthesis and Applications
- Advanced Materials and Mechanics
- Microbial Community Ecology and Physiology
- Ideological and Political Education
- UAV Applications and Optimization
- Tactile and Sensory Interactions
- Vehicular Ad Hoc Networks (VANETs)
- Advanced Wireless Communication Technologies
- Stochastic Gradient Optimization Techniques
- Muscle activation and electromyography studies
- Neural Networks and Reservoir Computing
- Brain Tumor Detection and Classification
- Phagocytosis and Immune Regulation
- Energy Efficient Wireless Sensor Networks
- Microgrid Control and Optimization
State Key Laboratory of Respiratory Disease
2025
Chinese Academy of Medical Sciences & Peking Union Medical College
2020-2025
National Clinical Research Center for Digestive Diseases
2020-2025
China-Japan Friendship Hospital
2020-2025
Northwest A&F University
2025
University of Electronic Science and Technology of China
2017-2024
Zhengzhou University
2023-2024
Imperial College London
2024
Beijing Forestry University
2024
Harbin University of Science and Technology
2024
Rapid advances in wearable sensing technology have demonstrated unprecedented opportunities for artificial intelligence. In comparison with the traditional hand‐held electrolarynx, a and intelligent throat sound‐sensing ability is more comfortable versatile method to assist disabled people communication. Herein, piezoresistive sensor novel configuration demonstrated, which consists of polystyrene (PS) spheres as microstructures sandwiched between silver nanowires reduced graphene oxide...
Wireless sensor network nodes are widely used in wearable devices, consumer electronics, and industrial electronics a crucial component of the Internet Things (IoT). Recently, advanced power technology with sustainable energy supply pollution-free characteristics has become popular research focus. Herein, to realize an unattended reliable unit suitable for distributed IoT systems, we develop high-performance triboelectric-electromagnetic hybrid nanogenerator (TEHNG) harvest mechanical...
To exploit the massive amounts of onboard data in vehicular networks while protecting privacy and security, federated learning (FL) is regarded as a promising technology to support enormous applications. Despite that FL has great potential improve architecture intelligent networks, mobility vehicles dynamic nature wireless channels make integration more challenging. In this paper, we propose vehicle mobility- channel dynamic-aware (MADCA-FL) scheme fit enhance performances. This novel...
Unmanned aerial vehicle (UAV) assisted mobile edge computing (MEC) systems have emerged as a promising technology with the capability to expand terrestrial networks. UAVs, working nodes and base stations, can be deployed closer user equipment (UEs). However, rapid increase of UEs, scarcity spectrum resources has become critical challenge for future communication systems. Additionally, inherent characteristics wireless transmission untrusted broadcasting pose significant security privacy...
Tree peony seeds, traditionally used for edible oil production, are rich in α-linolenic acid (ALA). However, little attention is paid to their development as a healthcare food due bitter and astringent taste. The aim of this study was optimize the debittering process seeds on basis maintaining nutritional value identify compounds that cause taste bitterness. We first optimized by orthogonal experiments which reduced polyphenol content 90.25%, we measured main fatty composition, indicating...
Recently, realizing machine learning (ML)-based technologies with the aid of mobile edge computing (MEC) in vehicular network to establish an intelligent transportation system (ITS) has gained considerable interest. To fully utilize data and onboard units vehicles, it is possible implement federated (FL), which can locally train model centrally aggregate results, (VEC) for a vision connected autonomous vehicles. In this article, we review present concept FL introduce general architecture...
Flexible sensors for hand gesture recognition and human–machine interface (HMI) applications have witnessed tremendous advancements during the last decades. Current state‐of‐the‐art placed on fingers or embedded into gloves are incapable of fully capturing all gestures often uncomfortable wearer. Herein, a flake‐sphere hybrid structure reduced graphene oxide (rGO) doped with polystyrene (PS) spheres is fabricated to construct highly sensitive, fast response, flexible piezoresistive sensor...
Social media is an indispensable part of modern life, and social popularity prediction (SMPP) plays a vital role in practice. In current work, the inconsistency words labels titles, user feature transformation, etc have not been well noticed. this paper, we propose novel approach named Title-and-Tag Contrastive Vision-and-Language Transformer (TTC-VLT), combining two pre-trained vision language transformers other dense parts for task. On one hand, order to learn differences between titles...
Nowadays, vehicular networks have emerged as a boosting technology to enhance traffic efficiency and safety within transportation systems. As the amount of onboard data increases privacy concerns grow, federated learning (FL) has gained popularity for harnessing intelligent operations. To satisfy strict latency criteria in networks, quantization scheme is employed FL reduce size local models before uplink transmission. In this paper, considering nature vehicles' high mobility, we aim...
As an important phase-change material, GeTe has many high-pressure phases as well, but its phase transitions under pressure are still lack of clarity. It is challenging to identify crystal structures owing the coexistence in a wide range and reversibility transitions. Hence, first-principles calculations required provide further information addition limited experimental characterizations. In this work, new orthorhombic Cmca been predicted via CALYPSO method most energetically favorable...
Acanthopanax senticosus (Rupr. Maxim.; AS) is a medicinal plant used in the clinical treatment of cerebrovascular diseases and central nervous system disorders, it significantly improves blood lipid levels endothelial cell function patients with acute cerebral infarction. Isofraxidin, one active ingredients AS, core plant’s medical effects, its extraction depends on organic solvents. Deep eutectic solvents (DESs) are new green synthesized by intermolecular hydrogen bonding between bond...
Abstract Intelligent wearable electronics have gained considerable research interest as it presents a huge market prospect. As the fundamental component of electronics, patterned electrodes play key role combines advantages such mechanical flexibility, multiple functions, and cost-effectiveness. Patterned drawn attention due to their wide application potential for other devices. Herein, we briefly summarized recent reports on classification fabrication methods electrodes, applications in...
Bi-doped LiZn ferrites with different iron deficiencies were fabricated by a conventional ceramic method. Anisotropy constant (K1) was calculated and ferromagnetic resonance (FMR) linewidth (ΔH) investigated. Crystalline anisotropy broadening (ΔHa) porosity (ΔHp) derived an approximate calculation based on dipolar narrowing theory, which play significant role in contributions to FMR occupy more than 90 % of ΔH. Physical static magnetic properties ferrite deficiency are presented, supports...
Abstract The rapid development of advanced manufacturing technologies in micro-electro-mechanical system (MEMS) fields has promoted the advance wearable electronics. Among them, biomechanical micro-energy harvesters have attracted much attention recent years to meet unique power supply demands electronics serving as sustainable sources. In meanwhile, they also been successfully demonstrated be either self-powered sensors or other functional devices for electronic applications. Herein, we...
Federated learning (FL) is able to utilize the computing capability and maintain privacy of end devices by collecting aggregating locally trained model parameters while keeping local personal data. As most widely-used FL framework,Jederated averaging (FedAvg) suffers an expensive communication cost especially when there are large amounts involving process. Moreover, considering asynchronous FL, slowest device becomes bottleneck for cask effect determines overall latency. In this work, we...
Autonomous systems often employ multiple LiDARs to leverage the integrated advantages, enhancing perception and robustness. The most critical prerequisite under this setting is estimating extrinsic between each LiDAR, i.e., calibration. Despite exciting progress in multi-LiDAR calibration efforts, a universal, sensor-agnostic method remains elusive. According coarse-to-fine framework, we first design spherical descriptor TERRA for 3-DoF rotation initialization with no prior knowledge. To...
<abstract> <p>The technology of robot-assisted prostate seed implantation has developed rapidly. However, during the process, there are some problems to be solved, such as non-intuitive visualization effects and complicated robot control. To improve intelligence operation a voice control in augmented reality environment was proposed. Initially, MRI image denoised segmented. The three-dimensional model its surrounding tissues reconstructed by surface rendering technology. Combined...