Zhilin Li

ORCID: 0000-0003-1507-323X
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About
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Research Areas
  • Geographic Information Systems Studies
  • Data Management and Algorithms
  • Remote Sensing and LiDAR Applications
  • Remote-Sensing Image Classification
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • 3D Modeling in Geospatial Applications
  • Automated Road and Building Extraction
  • Advanced Computational Techniques and Applications
  • Satellite Image Processing and Photogrammetry
  • Remote Sensing and Land Use
  • Land Use and Ecosystem Services
  • 3D Surveying and Cultural Heritage
  • Constraint Satisfaction and Optimization
  • Remote Sensing in Agriculture
  • Urban Design and Spatial Analysis
  • Geological Modeling and Analysis
  • Digital Image Processing Techniques
  • Advanced Image and Video Retrieval Techniques
  • Data Visualization and Analytics
  • Cryospheric studies and observations
  • Soil Moisture and Remote Sensing
  • Geochemistry and Geologic Mapping
  • Robotics and Sensor-Based Localization
  • Sparse and Compressive Sensing Techniques
  • Spatial Cognition and Navigation

Hong Kong Polytechnic University
2015-2025

Nanjing University of Aeronautics and Astronautics
2017-2025

Southwest Jiaotong University
2016-2025

Tianjin Medical University
2023-2025

Chengdu University of Traditional Chinese Medicine
2022-2025

Wuhan National Laboratory for Optoelectronics
2022-2025

Huazhong University of Science and Technology
2022-2025

Bioscience (China)
2023-2025

Chengdu University
2018-2025

Kunming University of Science and Technology
2025

To improve the response rate of immune checkpoint inhibitors such as anti-PD-L1 antibody in immunosuppressive cancers like triple-negative breast cancer (TNBC), induction immunogenic cell death (ICD) at tumor sites can increase antigenicity and adjuvanticity to activate microenvironment so that tumors become sensitive intervention inhibitors. Herein, a self-amplified biomimetic nanosystem, mEHGZ, was constructed by encapsulation epirubicin (EPI), glucose oxidase (Gox) hemin ZIF-8...

10.1016/j.bioactmat.2022.08.028 article EN cc-by-nc-nd Bioactive Materials 2022-09-13

Emerging wearable devices would benefit from integrating ductile photovoltaic light-harvesting power sources. In this work, we report a small-molecule acceptor (SMA), also known as non–fullerene (NFA), designed for stretchable organic solar cell ( s -OSC) blends with large mechanical compliance and performance. Blends of the organosilane-functionalized SMA BTP-Si4 polymer donor PNTB6-Cl achieved conversion efficiency (PCE) >16% ultimate strain (ε u ) >95%. Typical SMAs suppress OSC...

10.1126/science.adp9709 article EN Science 2025-01-23

Abstract This article proposes an efficient solution algorithm to aid travelers' route choice decisions in road network with travel time uncertainty, the context of advanced traveler information systems (ATIS). In this article, a link is assumed be spatially correlated only neighboring links within local 'impact area.' Based on assumption, dependent reliable shortest path problem (SD-RSPP) formulated as multicriteria path-finding problem. The dominant conditions for SD-RSPP are established...

10.1080/13658816.2011.598133 article EN International Journal of Geographical Information Science 2011-10-25

With high mobility, low cost and outstanding maneuverability properties, unmanned aerial vehicle (UAV) swarm has attracted worldwide attentions in both academia industry. Nevertheless, the complex coherent characteristics of intelligent cooperation UAV greatly restrict its wide application. The recent development artificial intelligence provides new methodologies for swarm. However, these methods are resource-in-tensive that cannot be directly applied computation storage constrained UAVs. In...

10.1109/mnet.011.2000388 article EN IEEE Network 2020-11-18

Over the past decades, unmanned aerial vehicles (UAVs) have been widely used in both military and civilian fields. In these applications, flocking motion is a fundamental but crucial operation of multi-UAV systems. Traditional methods usually designed for specific environment. However, real environment mostly unknown stochastic, which greatly reduces practicality methods. this article, deep reinforcement learning (DRL) to realize Considering that sim-to-real problem restricts application DRL...

10.1109/jiot.2021.3127873 article EN IEEE Internet of Things Journal 2021-11-15

Volatile organic compounds (VOCs) are important and ubiquitous air pollutants, which may lead to a significant increase in the prevalence of respiratory diseases. To investigate relationships between VOCs exposure childhood asthma, 252 asthmatic children 69 healthy were recruited. Urinary 8-hydroxy-2′-deoxyguanosine (8-OHdG, biomarker oxidative DNA damage), trans-3′-hydroxycotinine (OH-Cot, passive smoking) 27 VOC metabolites simultaneously determined by an ultra-high-performance liquid...

10.1016/j.ecoenv.2020.111864 article EN cc-by-nc-nd Ecotoxicology and Environmental Safety 2021-01-07

This paper considers the cooperative search for stationary targets by multiple unmanned aerial vehicles (UAVs) with limited sensing range and communication ability in a dynamic threatening environment. The main purpose is to use UAVs find more unknown as soon possible, increase coverage rate of mission area, importantly, guide away from threats. However, traditional methods are mostly unscalable perform poorly environments. A new multi-agent deep reinforcement learning (MADRL) method,...

10.1109/tvt.2023.3245120 article EN IEEE Transactions on Vehicular Technology 2023-02-23

Quick and accurate building damage assessment following a disaster is critical to making preliminary estimate of losses. Remote-sensing image analysis based on convolutional neural networks (CNNs) their relatives has shown growing potential in this task, but faces the challenge collecting dense pixel-level annotations. In letter, we propose novel weakly supervised semantic segmentation (WSSS) method image-level labels for pixel-wise damaged extraction from postearthquake high-resolution...

10.1109/lgrs.2023.3243575 article EN IEEE Geoscience and Remote Sensing Letters 2023-01-01

Building generalization is a difficult operation due to the complexity of spatial distribution buildings and for reasons recognition. In this study, building decomposed into two steps, i.e. grouping execution. The neighbourhood model in urban morphology provides global constraints guiding partitioning sets on whole map by means roads rivers, which enclaves, blocks, superblocks or neighbourhoods are formed; whereas local from Gestalt principles provide criteria further and/or neighbourhoods....

10.1080/13658810410001702021 article EN International Journal of Geographical Information Science 2004-06-16

Abstract This article describes a new set of algorithms for locally–adaptive line generalization based on the so-called natural principle objective generalization. The drawbacks existing methods are briefly discussed and described. performance these is compared with benchmarks both manual cartographic procedures standard method found in many geographical information systems.

10.1080/02693799208901921 article EN International Journal of Geographical Information Systems 1992-09-01
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