Xuejie Zhang
Biographic Data
| ID | 4417583 |
|---|---|
| NAME | Xuejie Zhang |
| GIVEN NAMES | Xuejie |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG X |
| AFFILIATIONS | Yunnan University |
| ORCID | 0000-0002-4029-7000 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 8 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Enhancing Grid Tagging Scheme with Hybrid Contrastive Learning for Aspect Sentiment Triplet Extraction
Aspect sentiment triplet extraction (ASTE) jointly extracts aspect terms, opinion terms, and their associated sentiment polarities. The main challenge is accurately matching aspect–opinion pairs and modeling their sentiment relationships. Recent approaches have attempted to model syntactic dependencies by stacking complex graph neural networks (GNNs) on top of transformers. However, these approaches often have noisy connections, incur substantial…
Syntax-Enhanced Pretrained Language Models for Aspect-Level Sentiment Classification
The main challenge of aspect-level sentiment classification (ASC) is associating target aspect terms with relevant contextual words. Existing methods improve ASC performance by incorporating syntactic dependencies through a graph convolution layer on top of BERT. However, these approaches often assign a fixed weight to edges with the same dependency type, overlooking the contextual nuances these dependencies can convey. To address this, we propos…
The interactions between road networks and ecological corridors
Spatiotemporal patterns and drivers of public concern about air pollution in China
Digitalized social infrastructure and mental health during the Covid-19 crisis
A Study of the Impact of Covid-19 on Urban Contact Networks in China Based on Population Flows
The emergence and enduring diffusion of COVID-19 has had a dramatic impact on cities worldwide. The scientific aim of this study was to introduce geospatial thinking to research related to infectious diseases, while the practical aim was to explore the impact on population movements and urban linkages in the longer term following a pandemic outbreak. Therefore, this study took 366 cities in China as the research subjects while exploring the relat…
Urban growth and shrinkage with Chinese characteristics
Whilst China experiences long-term rapid urbanization, urban shrinkage, as a new normal, has become a common phenomenon in urban development along with growth. In this study, we innovatively established a full-quadrant urban growth-shrinkage model from the dimensions of population, economy, and space. We identified the spatiotemporal evolution and influencing factors of city growth and shrinkage at the county scale based on multi-source data, hot…
A Gated Dilated Convolution with Attention Model for Clinical Cloze-Style Reading Comprehension
The machine comprehension research of clinical medicine has great potential value in practical application, but it has not received sufficient attention and many existing models are very time consuming for the cloze-style machine reading comprehension. In this paper, we study the cloze-style machine reading comprehension in the clinical medical field and propose a Gated Dilated Convolution with Attention (GDCA) model, which consists of a gated di…
A Gated Dilated Convolution with Attention Model for Clinical Cloze-Style Reading Comprehension
The machine comprehension research of clinical medicine has great potential value in practical application, but it has not received sufficient attention and many existing models are very time consuming for the cloze-style machine reading comprehension. In this paper, we study the cloze-style machine reading comprehension in the clinical medical field and propose a Gated Dilated Convolution with Attention (GDCA) model, which consists of a gated di…
A Study of the Impact of Covid-19 on Urban Contact Networks in China Based on Population Flows
The emergence and enduring diffusion of COVID-19 has had a dramatic impact on cities worldwide. The scientific aim of this study was to introduce geospatial thinking to research related to infectious diseases, while the practical aim was to explore the impact on population movements and urban linkages in the longer term following a pandemic outbreak. Therefore, this study took 366 cities in China as the research subjects while exploring the relat…
Urban growth and shrinkage with Chinese characteristics
Whilst China experiences long-term rapid urbanization, urban shrinkage, as a new normal, has become a common phenomenon in urban development along with growth. In this study, we innovatively established a full-quadrant urban growth-shrinkage model from the dimensions of population, economy, and space. We identified the spatiotemporal evolution and influencing factors of city growth and shrinkage at the county scale based on multi-source data, hot…
Enhancing Grid Tagging Scheme with Hybrid Contrastive Learning for Aspect Sentiment Triplet Extraction
Aspect sentiment triplet extraction (ASTE) jointly extracts aspect terms, opinion terms, and their associated sentiment polarities. The main challenge is accurately matching aspect–opinion pairs and modeling their sentiment relationships. Recent approaches have attempted to model syntactic dependencies by stacking complex graph neural networks (GNNs) on top of transformers. However, these approaches often have noisy connections, incur substantial…
Syntax-Enhanced Pretrained Language Models for Aspect-Level Sentiment Classification
The main challenge of aspect-level sentiment classification (ASC) is associating target aspect terms with relevant contextual words. Existing methods improve ASC performance by incorporating syntactic dependencies through a graph convolution layer on top of BERT. However, these approaches often assign a fixed weight to edges with the same dependency type, overlooking the contextual nuances these dependencies can convey. To address this, we propos…
The interactions between road networks and ecological corridors
Spatiotemporal patterns and drivers of public concern about air pollution in China
Digitalized social infrastructure and mental health during the Covid-19 crisis
Artificial Intelligence (3 works) · China (3 works) · Computer Science (3 works) · Geography (3 works) · Demography (2 works) · Economic geography (2 works) · Economic growth (2 works) · Land Use and Ecosystem Services (2 works) · Medicine (2 works) · Natural language processing (2 works)