Xiaolin Zhang

ORCID: 0000-0003-3307-9838
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About
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Research Areas
  • Antenna Design and Analysis
  • Robotics and Sensor-Based Localization
  • Microwave Engineering and Waveguides
  • Advanced Vision and Imaging
  • Antenna Design and Optimization
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • GNSS positioning and interference
  • Advanced Measurement and Detection Methods
  • Advanced Antenna and Metasurface Technologies
  • Inertial Sensor and Navigation
  • Video Surveillance and Tracking Methods
  • Advanced Wireless Communication Techniques
  • Image Processing Techniques and Applications
  • Advanced Data Compression Techniques
  • Domain Adaptation and Few-Shot Learning
  • 3D Surveying and Cultural Heritage
  • Optical measurement and interference techniques
  • Optical Systems and Laser Technology
  • Conducting polymers and applications
  • Advanced Algorithms and Applications
  • Infrared Target Detection Methodologies
  • Electrochemical sensors and biosensors
  • Advanced Sensor and Control Systems
  • 3D Shape Modeling and Analysis

Shanghai Institute of Microsystem and Information Technology
2016-2025

State Key Laboratory of Transducer Technology
2019-2025

Inner Mongolia University of Science and Technology
2022-2025

City University of Hong Kong
2020-2024

ShanghaiTech University
2019-2024

University of Chinese Academy of Sciences
2009-2024

State Key Laboratory of Pollution Control and Resource Reuse
2024

Nanjing University
2017-2024

State Key Laboratory of Cryptology
2024

Shanghai Jiao Tong University
2024

Despite the great success achieved by supervised fully convolutional models in semantic segmentation, training requires a large amount of labor-intensive work to generate pixel-level annotations. Recent works exploit synthetic data train model for but domain adaptation between real and images remains challenging problem. In this work, we propose Separated Semantic Feature based network, named SSF-DAN, segmentation. First, Semantic-wise Separable Discriminator (SS-D) is designed independently...

10.1109/iccv.2019.00107 article EN 2021 IEEE/CVF International Conference on Computer Vision (ICCV) 2019-10-01

Abstract Na 4 Fe 3 (PO ) 2 (P O 7 (NFPP) is considered as a promising cathode material for sodium‐ion batteries (SIBs) due to its low cost, non‐toxicity, and high structural stability, but electrochemical performance limited by the poor electronic conductivity. In this study, Mg‐doped NFPP/C composites are presented materials SIBs. Benefiting from enhanced kinetics intercalation pseudocapacitance resulted Mg doping, optimal composite (NFPP‐Mg5%) delivers rate (capacity of ≈40 mAh g −1 at 20...

10.1002/adfm.202211257 article EN Advanced Functional Materials 2022-11-27

Hierarchical cobalt assemblies such as spheres, flowers with dendritic petals, and sharp petals are successfully synthesized via a facile liquid-phase reduction method by simply adjusting the reaction conditions. The morphology evolution process transformation mechanism from spheres to dendrites finally have been systematically investigated. It is determined that coercivity Hc depends more on sample size than shape anisotropy, while saturation magnetization Ms greatly affected pinned surface...

10.1021/jp1050386 article EN The Journal of Physical Chemistry C 2010-08-13

Li-B alloy has uniform Li deposition morphology and offers better capacity retention as advantageous anode properties over metallic lithium.

10.1039/c4ta01709a article EN Journal of Materials Chemistry A 2014-01-01

Abstract The fast development of flexible and wearable electronics increases the demand for secondary batteries, emerging high‐performance K‐ion batteries (KIBs) have shown immense promise due to abundant cost‐effective potassium resources. However, implementation cathodes KIBs is hampered by critical issues low capacity, rapid capacity decay with cycles, limited initial Coulombic efficiency. To address these pressing issues, a freestanding K‐rich iron hexacyanoferrate/carbon cloth...

10.1002/advs.202305467 article EN cc-by Advanced Science 2023-12-07

Porous microspheres fabricated by biodegradable polymers show great potential as microcarriers for cell cultivation in tissue engineering. Herein poly(DL-lactide) (PLA) was used to fabricate porous through a modified double emulsion solvent evaporation method. The influence of fabrication parameters, such the stirring speed primary and secondary emulsion, polymer concentration oil phase, type, well post-hydrolysis treatment structure PLA are discussed. Good attachment an active spread MG-63...

10.1002/mabi.200900224 article EN Macromolecular Bioscience 2009-10-10

A linearly polarized wire antenna has been proposed. This wide-beam radiation patterns. The half-power beamwidth (HPBW) is 150° in the E-plane and 130° H-plane. proposed a simple structure with compact size of 0.5 λ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">g</sub> × 0.1 low profile 0.05 (λ waveguide wavelength at operating frequency). makes it easy to be integrated RF circuits. nine-element linear-phased array constructed demonstrate its...

10.1109/lawp.2018.2791286 article EN IEEE Antennas and Wireless Propagation Letters 2018-01-01

Fabricating polymer solar cells (PSCs) on flexible substrates, instead of hard glass, is attractive for implementing the advantage and uniqueness PSCs represented by mechanically rollable light-weight natures. However, simultaneously achieving reliable robustness high-power conversion efficiency (PCE) in such still technically challenging due to poor light harvesting thin photoactive polymers. In this work, we report a facile, effective strategy improving light-harvesting performance without...

10.3390/nano10050944 article EN cc-by Nanomaterials 2020-05-15

Skeleton-based human action recognition has become an active research area in recent years. The key to this task is fully explore both spatial and temporal features. Recently, GCN-based methods modeling the body skeletons as spatial-temporal graphs, have achieved remarkable performances. However, most use a fixed adjacency matrix defined by dataset, which can only capture structural information provided joints directly connected through bones ignore dependencies between distant that are not...

10.1109/access.2020.2964115 article EN cc-by IEEE Access 2020-01-01

The 3D semantic map plays an increasingly important role in a wide variety of applications, especially for many kinds task-driven robots. In this paper, we present mapping methodology obtaining from RGB-D scans. contrast to existing methods that use annotated information as supervisory, focus on accurate 2D frame labeling and combine labels space using fusion mechanism. For scene parsing, two-stream network with novel discriminatory mask loss is proposed explore sufficient extraction RGB...

10.1109/tcsvt.2021.3056726 article EN IEEE Transactions on Circuits and Systems for Video Technology 2021-02-03

Emerging aqueous ammonium-ion batteries (AIBs) are considered inexpensive, highly safe, ecofriendly, and sustainable energy storage systems. Although some high-performance electrode materials have been reported for AIBs, a comprehensive understanding of the origin high performance is still lacking. Herein, percolating network anionic vacancies determined to be superior properties Prussian blue analogues based on ab initio molecular dynamics simulation electrochemical kinetic analyses....

10.1021/acs.jpclett.3c03579 article EN The Journal of Physical Chemistry Letters 2024-01-29

One-shot semantic segmentation poses the challenging task of segmenting object regions from unseen categories with only one annotated example as guidance. Thus, how to effectively construct robust feature representations guidance image is crucial success one-shot segmentation. To this end, we propose in article a simple, yet effective approach named rich embedding features (REFs). Given reference accompanied its mask, our REF constructs support three perspectives: 1) global capture general...

10.1109/tnnls.2021.3081693 article EN IEEE Transactions on Neural Networks and Learning Systems 2021-06-23

Semantic segmentation finds wide-ranging applications and stands as a crucial task in the realm of computer vision. It holds significant implications for scene comprehension decision-making unmanned systems, including domains such autonomous driving, aerial vehicles, robotics, healthcare. Consequently, there is growing demand high precision semantic segmentation, particularly these contents. This paper introduces DPNet, novel image method based on Deeplabv3 plus architecture. (1) DPNet...

10.3390/electronics12143161 article EN Electronics 2023-07-21
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