Guoan Tang
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View article: Strategies for Obtaining High-Performance Li-Ion Solid-State Electrolytes for Solid-State Batteries
Strategies for Obtaining High-Performance Li-Ion Solid-State Electrolytes for Solid-State Batteries Open
View article: Characterizing Model Behavior Under Synthetic Data Training: An Empirical Study Across Scales and Mixing Ratios
Characterizing Model Behavior Under Synthetic Data Training: An Empirical Study Across Scales and Mixing Ratios Open
Synthetic data generated by large language models has become integral to modern NLP training pipelines, from bootstrapping reasoning capabilities to augmenting instruction-following datasets. While recent work demonstrates successful appli…
View article: A typology of global relief classes derived from digital elevation models at 1 arcsec resolution
A typology of global relief classes derived from digital elevation models at 1 arcsec resolution Open
Understanding land surface morphology and its relief components, which record the dynamics of the planet's evolution and interaction of multiple environmental factors, constitutes a critical aspect of Earth system science. Advances in Eart…
View article: IPGPhormer: Interpretable Pathology Graph-Transformer for Survival Analysis
IPGPhormer: Interpretable Pathology Graph-Transformer for Survival Analysis Open
Pathological images play an essential role in cancer prognosis, while survival analysis, which integrates computational techniques, can predict critical clinical events such as patient mortality or disease recurrence from whole-slide image…
View article: KnowDR-REC: A Benchmark for Referring Expression Comprehension with Real-World Knowledge
KnowDR-REC: A Benchmark for Referring Expression Comprehension with Real-World Knowledge Open
Referring Expression Comprehension (REC) is a popular multimodal task that aims to accurately detect target objects within a single image based on a given textual expression. However, due to the limitations of earlier models, traditional R…
View article: Quantifying regional differentiation of yardang groups using terrain texture indices
Quantifying regional differentiation of yardang groups using terrain texture indices Open
With yardang research advancing into Earth system science and deep space exploration, there is increasing demand for studies on large-scale spatial patterns. Although texture analysis techniques effectively characterize terrain textures of…
View article: Gendered urban spaces: Unveiling gender segregation through time, space, and behavior - A case study of Zhuhai, China
Gendered urban spaces: Unveiling gender segregation through time, space, and behavior - A case study of Zhuhai, China Open
View article: A global scale submarine landform dataset driven by terrain knowledge
A global scale submarine landform dataset driven by terrain knowledge Open
Submarine landforms are a critical component of Earth's geomorphology, essential for understanding marine geological evolution, ocean dynamics, and marine ecosystems. However, global-scale classification of submarine landforms has been con…
View article: Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering
Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering Open
Although large language models (LLMs) have demonstrated remarkable reasoning capabilities, they still face challenges in knowledge-intensive multi-hop reasoning. Recent work explores iterative retrieval to address complex problems. However…
View article: Inter-annual changes and growth trends mapping of mangrove using Landsat time series imagery
Inter-annual changes and growth trends mapping of mangrove using Landsat time series imagery Open
Mangroves, as the most prolific but vulnerable ecosystems, necessitate continuous monitoring for effective conservation. However, continuous mangrove mapping is challenging due to extensive land use changes and highly intertidal dynamics. …
View article: Deep learning detects entire multiple-size lunar craters driven by elevation data and topographic knowledge
Deep learning detects entire multiple-size lunar craters driven by elevation data and topographic knowledge Open
Lunar craters are important geomorphological features, that provide valuable insights into lunar morphology, geology, and impact processes. However, the current understanding of lunar craters of different sizes, especially smaller craters …
View article: Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering
Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering Open
View article: AnRe: Analogical Replay for Temporal Knowledge Graph Forecasting
AnRe: Analogical Replay for Temporal Knowledge Graph Forecasting Open
View article: Submarine Landform Mapping Driven by Terrain Knowledge at the Global Scale
Submarine Landform Mapping Driven by Terrain Knowledge at the Global Scale Open
View article: Vibration simulations of a rotating detonation engine
Vibration simulations of a rotating detonation engine Open
View article: A time-series-based model to detect homogeneous regions of residents’ dynamic living habits
A time-series-based model to detect homogeneous regions of residents’ dynamic living habits Open
The identification of homogeneous regions representing the dynamic living habits of residents has long been a central focus in human activity research. Although extensive studies have been conducted in this area, the majority of these effo…
View article: An approach for exploring spatial associations in multi-layer networks based on convergent and divergent flow structures
An approach for exploring spatial associations in multi-layer networks based on convergent and divergent flow structures Open
The study of spatial social networks has evolved from identifying structures within single networks to analyzing spatial associations between multilayer networks. However, current research primarily focuses on many-to-many flow structures,…
View article: Global basic landform units derived from multi-source digital elevation models at 1 arc-second resolution
Global basic landform units derived from multi-source digital elevation models at 1 arc-second resolution Open
Landforms are fundamental components of the Earth surface, providing the base on which surface processes operate. Understanding and classifying global landforms, which record the internal and external dynamics of the planet's evolution, co…
View article: A multilevel dataset of landform mapping and geomorphologic descriptors for the Loess Plateau of China
A multilevel dataset of landform mapping and geomorphologic descriptors for the Loess Plateau of China Open
View article: A decomposition study on the factors influencing China’s total fertility rate changes between 1990 and 2020
A decomposition study on the factors influencing China’s total fertility rate changes between 1990 and 2020 Open
Low fertility is not conducive to healthy population development. The total fertility rate (TFR) is influenced by the education expansion (measured by the proportion of non-student women, NSP), marriage delay (measured by the proportion of…
View article: RAPID QUANTITATIVE ANALYSIS OF METHAMPHETAMINE BY PORTABLE NEAR-INFRARED SPECTROSCOPY AND PLS MODELING
RAPID QUANTITATIVE ANALYSIS OF METHAMPHETAMINE BY PORTABLE NEAR-INFRARED SPECTROSCOPY AND PLS MODELING Open
To rapidly detect different types of methamphetamine in the field, a portable near infrared spectroscopy (NIR) method was used to model and analyze the collected samples. Transmission spectra of 359 methamphetamine crystal samples (content…
View article: DEM super-resolution framework based on deep learning: decomposing terrain trends and residuals
DEM super-resolution framework based on deep learning: decomposing terrain trends and residuals Open
Deep learning-based super-resolution is an essential technique for acquiring high-resolution digital elevation models (DEMs) by enhancing the spatial resolution of low-resolution DEMs. However, current deep learning-based approaches for DE…
View article: A Framework for Rapidly Predicting the Dynamics of Flexible Solar Arrays in the China Space Station with a Verification Based on On-Orbit Measurement Data
A Framework for Rapidly Predicting the Dynamics of Flexible Solar Arrays in the China Space Station with a Verification Based on On-Orbit Measurement Data Open
The Chinese space station is a complex structure with large flexible appendages. Obtaining the on-orbit response characteristics of such a structure under different working conditions is a traditional and classic challenge in the field of …
View article: Reconstructing and tracing the evolution of the road networks in the Haidai region of China during the Bronze and Early Iron Ages
Reconstructing and tracing the evolution of the road networks in the Haidai region of China during the Bronze and Early Iron Ages Open
Reconstructing ancient transportation networks is critical to studying past human mobility patterns. China’s Haidai region was a thriving political and economic hub during the Bronze and Early Iron Ages. We used GIS spatial analysis techni…
View article: Viral invasion, incubation, and outbreak under the normalized operation of urban systems: a spatial cognition-driven transmission model of infectious diseases
Viral invasion, incubation, and outbreak under the normalized operation of urban systems: a spatial cognition-driven transmission model of infectious diseases Open
Large-scale epidemics, such as COVID-19, pose significant threats to human health and social stability due to their rapid and covert transmission, emerging as one of the main challenges to maintaining a well-functioning urban system. Durin…
View article: Distinguishing the Intervalley Plain from the Intermountain Flat for Landform Mapping Using the Sightline Algorithm
Distinguishing the Intervalley Plain from the Intermountain Flat for Landform Mapping Using the Sightline Algorithm Open
The intervalley plain is an important type of landform for mapping, and it has good connectivity for urban construction and development on the Loess Plateau. During the global landform mapping of the Deep-time Digital Earth (DDE) Big Scien…
View article: Incorporating ontological characteristics for global landform classification based on 30 meters DEM
Incorporating ontological characteristics for global landform classification based on 30 meters DEM Open
Landform classification and mapping provide fundamental data for Earth science research, natural resource management, environmental monitoring, urban planning, and various other domains. Despite the availability of DEMs with 1-arc second r…
View article: Design and Experimental Study of a Hybrid Micro-Vibration Isolation System Based on a Strain Sensor for High-Precision Space Payloads
Design and Experimental Study of a Hybrid Micro-Vibration Isolation System Based on a Strain Sensor for High-Precision Space Payloads Open
Micro-vibrations significantly influence the imaging quality and pointing accuracy of high-precision space-borne payloads. To mitigate this issue, vibration isolation technology must be employed to reduce the transmission of micro-vibratio…
View article: End-to-End Dental Age Estimation for Adolescents Using Deep Learning with Advanced Optimization
End-to-End Dental Age Estimation for Adolescents Using Deep Learning with Advanced Optimization Open
View article: Integrating topographic features and patch matching into point cloud restoration for terrain modelling
Integrating topographic features and patch matching into point cloud restoration for terrain modelling Open
Point clouds are widely used in Earth surface research but usually exhibit gaps of missing data. Previous point cloud restoration methods used in terrain modelling have not fully considered complex terrain characteristics, which can be sum…