Zhilin Li
Biographic Data
| ID | 4181833 |
|---|---|
| NAME | Zhilin Li |
| GIVEN NAMES | Zhilin |
| FAMILY NAME | Li |
| SIGNATURE | LI Z |
| AFFILIATIONS | Southwest Jiaotong University |
| ORCID | 0000-0003-1507-323X |
| VERIFIED | Yes |
| TOTAL WORKS | 21 |
| TOTAL CITATIONS | 8 |
| AUTHOR COUNT | 21 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1995 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
The joint modulation of language distance and task demands on the neural mechanisms underlying bilingual lexical processing
摘要: 双语者加工母语(L1)和二语(L2)是否共享相同的脑机制是研究者广泛关注的问题, 现有研究积累了大量的证据同时也存在分岐。造成结果不一致的主要原因在于双语者母语和二语间的语言距离以及实验任务差异。本研究利用元分析的优势, 考察了不同任务(语音、语义)下两类双语者(语言距离远的汉-英双语者、语言距离近的拼音文字双语者)加工L1和L2词汇时的大脑激活。结果发现, 在语音任务中, 语言距离远的汉-英双语者L2更多激活了负责形-音转换的左侧顶下小叶/缘上回; 而语言距离近的拼音文字双语者L1和L2共享了相同的脑机制。在语义任务中, 汉-英双语者L1更多激活了左侧额中回和左侧楔前叶来完成形-义转换; 拼音文字双语者L1更多激活了左侧颞上回中部来进行音-义转换, L2更多激活了左侧额中回/额下回、脑岛和顶下小叶等语言控制脑区。进一步在语言切换任务中对比两类双语者的脑区激活也发现语言距离近的拼音文字双语者需要更多执行控制脑区参与激活。结果表明, 双语者加工L1和L2的脑区激活差异是在语言距离和…
Referencing, Internalizing, or Activating Knowledge: A Comparative Analysis of Strategies for Enhancing LLM Performance in Cartography
Large language models (LLMs) offer transformative potential for automated cartography, yet their effectiveness depends on their integration with specialized cartographic knowledge. Although strategies like retrieval-augmented generation (RAG), fine-tuning, and prompt engineering are the prevailing approaches for knowledge augmentation, their comparative effectiveness in enhancing LLM performance in cartography remains underexplored. Based on a sp…
Automatic Reconstruction of 3D Building Models from ALS Point Clouds Based on Façade Geometry
Three-dimensional (3D) building models are essential for urban planning, spatial analysis, and virtual simulations. However, most reconstruction methods based on Airborne LiDAR Scanning (ALS) rely primarily on rooftop information, often resulting in distorted footprints and the omission of façade semantics such as windows and doors. To address these limitations, this study proposes an automatic 3D building reconstruction method driven by façade g…
Impact of schematic representations of road maps on pedestrian route planning
An AI-guided framework for automated map point symbol generation through template rendering
Richard Bussmann, The Archaeology of Pharaonic Egypt: Society and Culture, 2700–1700 BC
Buyang huanwu decoction promotes remyelination via miR-760-3p/GPR17 axis after intracerebral hemorrhage
Revealing Schematic Map Designs with Preservation of Relativity in Node Position and Segment Length in Existing Official Maps
Schematic maps have widely been used for representing transport networks. In the schematization process, preserving the relative position of nodes and the relative length of segments are considered highly important for constructing spatial cognition. Some researchers have regarded these as general principles of automated schematization. However, in-depth investigations into the conversion of these general principles into specific schematic networ…
Influencing Pedestrians’ Route Choice Using Route Shape Simplification
Pedestrians’ route choice is critical for several purposes, while deliberately changing map representations can influence map users’ route choice. Simplifying routes’ geometric shapes is one way to achieve this. However, the other geometric characteristics of routes (e.g., the relative distance of different routes, differences in initial orientation, the number of intersections, and the direction changes) also influence pedestrians’ route choice,…
An ANNs-Based Method for Automated Labelling of Schematic Metro Maps
Schematic maps are popular for representing transport networks. In the last two decades, some researchers have been working toward automated generation of network layouts (i.e., the network geometry of schematic maps), while automated labelling of schematic maps is not well considered. The descriptive-statistics-based labelling method, which models the labelling space by defining various station-based line relations in advance, has been specially…
Exploring the evolution of road centrality: A case study of Hong Kong from 1976 to 2018
Mapping essential urban land use categories in China (Euluc-China): Preliminary results for 2018
Identifying Complex Junctions in a Road Network
Automated generalization of road network data is of great concern to the map generalization community because of the importance of road data and the difficulty involved. Complex junctions are where roads meet and join in a complicated way and identifying them is a key issue in road network generalization. In addition to their structural complexity, complex junctions don’t have regular geometric boundary and their representation in spatial data is…
A Comprehensive Measurement of Progress toward Local SDGs with Geospatial Information: Methodology and Lessons Learned
The UN’s 2030 Agenda defined 17 Sustainable Development Goals (SDGs). In order to ensure the implementation of this global agenda, the UN proposed a systematic follow-up and review through indicator-based tracking and reporting of the progress with statistical and geospatial information toward SDGs at national, regional, and global levels. This has posed many technical and institutional challenges. Although international communities have devoted …
Urban Allometric Scaling Beneath Structural Fractality of Road Networks
Allometry originally referred to the scaling relationship between the size of a body part and the size of the whole body when an organism grows. Gradually, researchers introduced it into urban studies. In existing urban studies, many allometric relations were discovered, especially those between urban population and other (physical or socioeconomic) quantities, such as urban area and gross domestic product (GDP). Recently, geometric fractal dimen…
How many samples are needed? An investigation of binary logistic regression for selective omission in a road network
Selective omission in a road network (or road selection) means to retain more important roads, and it is a necessary operator to transform a road network at a large scale to that at a smaller scale. This study discusses the use of the supervised learning approach to road selection, and investigates how many samples are needed for a good performance of road selection. More precisely, the binary logistic regression is employed and three road networ…
Spacing and alignment rules for effective legend design
Legends are important for understanding maps. Legend design is a part of map design and forms an important topic of cartographic research. Most research on legend design concentrates on the development of techniques rather than the development of basic principles. This study is devoted to the latter topic. Particularly, attention is paid to the development of spacing and alignment rules for effective design of legends shown on screens (computer m…
Theories of Map Design in the Digital Era
(2012). Theories of Map Design in the Digital Era. Cartography and Geographic Information Science: Vol. 39, No. 2, pp. 71-75
Fractality and Self-Similarity in the Structure of Road Networks
Fractal geometry has been an important tool in multiple disciplines, but it is usually limited to the geometrical fractal: a shape made of parts similar to the whole in certain ways. Recently there has been increasing interest in structural fractality of complex networks (e.g., biological and Internet hyperlinks) for studying organizational principles and evolutionary rules. In this study, the structural fractality of road networks (a kind of com…
An Automated System for Multi-Scale Vegetation Mapping
The geographical distribution of vegetation is commonly represented on maps. However, some map users require very detailed information down to species at individual levels, while others are satisfied with generalized data on a class or community. Representation of vegetation data at different levels of abstraction is required to satisfy the requirements of different applications. It is desirable to have an automated mapping system so that smaller…
Algebraic Models for Feature Displacement in the Generalization of Digital Map Data Using Morphological Techniques
Feature displacement is one of the many operations (or operators) in map-data generalization. It has become a priority item on the research agenda. This paper describes some algebraic models (or mathematical models) for this operation. These models are based on the operators developed in mathematical morphology, which is a science dealing with form, shape, and structure of objects. Feature displacements can be classified into two groups, i.e., fe…
Fractality and Self-Similarity in the Structure of Road Networks
Fractal geometry has been an important tool in multiple disciplines, but it is usually limited to the geometrical fractal: a shape made of parts similar to the whole in certain ways. Recently there has been increasing interest in structural fractality of complex networks (e.g., biological and Internet hyperlinks) for studying organizational principles and evolutionary rules. In this study, the structural fractality of road networks (a kind of com…
Urban Allometric Scaling Beneath Structural Fractality of Road Networks
Allometry originally referred to the scaling relationship between the size of a body part and the size of the whole body when an organism grows. Gradually, researchers introduced it into urban studies. In existing urban studies, many allometric relations were discovered, especially those between urban population and other (physical or socioeconomic) quantities, such as urban area and gross domestic product (GDP). Recently, geometric fractal dimen…
An AI-guided framework for automated map point symbol generation through template rendering
Algebraic Models for Feature Displacement in the Generalization of Digital Map Data Using Morphological Techniques
Feature displacement is one of the many operations (or operators) in map-data generalization. It has become a priority item on the research agenda. This paper describes some algebraic models (or mathematical models) for this operation. These models are based on the operators developed in mathematical morphology, which is a science dealing with form, shape, and structure of objects. Feature displacements can be classified into two groups, i.e., fe…
An Automated System for Multi-Scale Vegetation Mapping
The geographical distribution of vegetation is commonly represented on maps. However, some map users require very detailed information down to species at individual levels, while others are satisfied with generalized data on a class or community. Representation of vegetation data at different levels of abstraction is required to satisfy the requirements of different applications. It is desirable to have an automated mapping system so that smaller…
Theories of Map Design in the Digital Era
(2012). Theories of Map Design in the Digital Era. Cartography and Geographic Information Science: Vol. 39, No. 2, pp. 71-75
Fractality and Self-Similarity in the Structure of Road Networks
Fractal geometry has been an important tool in multiple disciplines, but it is usually limited to the geometrical fractal: a shape made of parts similar to the whole in certain ways. Recently there has been increasing interest in structural fractality of complex networks (e.g., biological and Internet hyperlinks) for studying organizational principles and evolutionary rules. In this study, the structural fractality of road networks (a kind of com…
Spacing and alignment rules for effective legend design
Legends are important for understanding maps. Legend design is a part of map design and forms an important topic of cartographic research. Most research on legend design concentrates on the development of techniques rather than the development of basic principles. This study is devoted to the latter topic. Particularly, attention is paid to the development of spacing and alignment rules for effective design of legends shown on screens (computer m…
How many samples are needed? An investigation of binary logistic regression for selective omission in a road network
Selective omission in a road network (or road selection) means to retain more important roads, and it is a necessary operator to transform a road network at a large scale to that at a smaller scale. This study discusses the use of the supervised learning approach to road selection, and investigates how many samples are needed for a good performance of road selection. More precisely, the binary logistic regression is employed and three road networ…
Urban Allometric Scaling Beneath Structural Fractality of Road Networks
Allometry originally referred to the scaling relationship between the size of a body part and the size of the whole body when an organism grows. Gradually, researchers introduced it into urban studies. In existing urban studies, many allometric relations were discovered, especially those between urban population and other (physical or socioeconomic) quantities, such as urban area and gross domestic product (GDP). Recently, geometric fractal dimen…
Mapping essential urban land use categories in China (Euluc-China): Preliminary results for 2018
Identifying Complex Junctions in a Road Network
Automated generalization of road network data is of great concern to the map generalization community because of the importance of road data and the difficulty involved. Complex junctions are where roads meet and join in a complicated way and identifying them is a key issue in road network generalization. In addition to their structural complexity, complex junctions don’t have regular geometric boundary and their representation in spatial data is…
A Comprehensive Measurement of Progress toward Local SDGs with Geospatial Information: Methodology and Lessons Learned
The UN’s 2030 Agenda defined 17 Sustainable Development Goals (SDGs). In order to ensure the implementation of this global agenda, the UN proposed a systematic follow-up and review through indicator-based tracking and reporting of the progress with statistical and geospatial information toward SDGs at national, regional, and global levels. This has posed many technical and institutional challenges. Although international communities have devoted …
An ANNs-Based Method for Automated Labelling of Schematic Metro Maps
Schematic maps are popular for representing transport networks. In the last two decades, some researchers have been working toward automated generation of network layouts (i.e., the network geometry of schematic maps), while automated labelling of schematic maps is not well considered. The descriptive-statistics-based labelling method, which models the labelling space by defining various station-based line relations in advance, has been specially…
Exploring the evolution of road centrality: A case study of Hong Kong from 1976 to 2018
Revealing Schematic Map Designs with Preservation of Relativity in Node Position and Segment Length in Existing Official Maps
Schematic maps have widely been used for representing transport networks. In the schematization process, preserving the relative position of nodes and the relative length of segments are considered highly important for constructing spatial cognition. Some researchers have regarded these as general principles of automated schematization. However, in-depth investigations into the conversion of these general principles into specific schematic networ…
Influencing Pedestrians’ Route Choice Using Route Shape Simplification
Pedestrians’ route choice is critical for several purposes, while deliberately changing map representations can influence map users’ route choice. Simplifying routes’ geometric shapes is one way to achieve this. However, the other geometric characteristics of routes (e.g., the relative distance of different routes, differences in initial orientation, the number of intersections, and the direction changes) also influence pedestrians’ route choice,…
Buyang huanwu decoction promotes remyelination via miR-760-3p/GPR17 axis after intracerebral hemorrhage
Automatic Reconstruction of 3D Building Models from ALS Point Clouds Based on Façade Geometry
Three-dimensional (3D) building models are essential for urban planning, spatial analysis, and virtual simulations. However, most reconstruction methods based on Airborne LiDAR Scanning (ALS) rely primarily on rooftop information, often resulting in distorted footprints and the omission of façade semantics such as windows and doors. To address these limitations, this study proposes an automatic 3D building reconstruction method driven by façade g…
Impact of schematic representations of road maps on pedestrian route planning
An AI-guided framework for automated map point symbol generation through template rendering
Richard Bussmann, The Archaeology of Pharaonic Egypt: Society and Culture, 2700–1700 BC
The joint modulation of language distance and task demands on the neural mechanisms underlying bilingual lexical processing
摘要: 双语者加工母语(L1)和二语(L2)是否共享相同的脑机制是研究者广泛关注的问题, 现有研究积累了大量的证据同时也存在分岐。造成结果不一致的主要原因在于双语者母语和二语间的语言距离以及实验任务差异。本研究利用元分析的优势, 考察了不同任务(语音、语义)下两类双语者(语言距离远的汉-英双语者、语言距离近的拼音文字双语者)加工L1和L2词汇时的大脑激活。结果发现, 在语音任务中, 语言距离远的汉-英双语者L2更多激活了负责形-音转换的左侧顶下小叶/缘上回; 而语言距离近的拼音文字双语者L1和L2共享了相同的脑机制。在语义任务中, 汉-英双语者L1更多激活了左侧额中回和左侧楔前叶来完成形-义转换; 拼音文字双语者L1更多激活了左侧颞上回中部来进行音-义转换, L2更多激活了左侧额中回/额下回、脑岛和顶下小叶等语言控制脑区。进一步在语言切换任务中对比两类双语者的脑区激活也发现语言距离近的拼音文字双语者需要更多执行控制脑区参与激活。结果表明, 双语者加工L1和L2的脑区激活差异是在语言距离和…
Referencing, Internalizing, or Activating Knowledge: A Comparative Analysis of Strategies for Enhancing LLM Performance in Cartography
Large language models (LLMs) offer transformative potential for automated cartography, yet their effectiveness depends on their integration with specialized cartographic knowledge. Although strategies like retrieval-augmented generation (RAG), fine-tuning, and prompt engineering are the prevailing approaches for knowledge augmentation, their comparative effectiveness in enhancing LLM performance in cartography remains underexplored. Based on a sp…
Computer Science (12 works) · Geography (11 works) · Mathematics (9 works) · Geographic Information Systems Studies (8 works) · Cartography (6 works) · Urban Design and Spatial Analysis (6 works) · Artificial Intelligence (5 works) · Engineering (4 works) · Land Use and Ecosystem Services (4 works) · Data Management and Algorithms (3 works)