Hai Hu
Biographic Data
| ID | 5889858 |
|---|---|
| NAME | Hai Hu |
| GIVEN NAMES | Hai |
| FAMILY NAME | Hu |
| SIGNATURE | HU H |
| AFFILIATIONS | Shanghai Jiao Tong University |
| ORCID | 0000-0002-9175-7775 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 10 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Bilingual influences and sources of variability in acceptability judgments
Classifying the Shapes of Buildings by Combining Distance Field Enhancement and a Convolution Neural Network
The shape classification of building objects is crucial in fields such as map generalization and spatial queries. Recently, convolutional neural networks (CNNs) have been used to capture high-level features and classify building shape patterns based on raster representations. However, this raster-based deep learning method binarizes the areas into building and non-building zones and does not account for the distance information between these area…
Role‐playing computer games in disaster medicine education
The COVID-19 pandemic has forced a transition from traditional in-person teaching to virtual learning in disaster medicine education, posing significant challenges. The lack of dedicated teaching platforms, especially those offering immersive experiences in critical decision-making under austere conditions, created a challenging environment for medical students transitioning to disaster settings. The scarcity of resources and complex disaster sit…
Exploring hub genes and crucial pathways linked to oxidative stress in bipolar disorder depressive episodes through bioinformatics analysis
We identified three hub genes (TAC1, MAP2K1, and MAP2K4) in BD associated with OS, potentially influencing the diagnosis and treatment of BD. Based on the GEO database, our study provides novel insights into the relationship between BD and OS, offering promising therapeutic targets
Tracing semantic change with distributional methods
This paper uses the tools of distributional semantics to investigate the semantic change of algo from a noun meaning ‘goods, possessions’ and an indefinite pronoun ‘something’ in the Medieval/Classical period of Spanish to an indefinite pronoun and degree adverb ‘a bit’ in contemporary Spanish. We compare the results of a previous corpus-based study ( Amaral 2016 ) on the semantic change of algo with an analysis using word embeddings models with …
Intra- and interspeaker repetitiveness in Chengdu Mandarin locative variation
In producing linguistic variation, language users display a tendency to reuse the same variant. This paper compares the empirical properties of different types of repetitiveness in a single case study: locative variation in Chengdu Mandarin. Using conversational data from sociolinguistic interviews, we ask whether within-speaker repetitiveness (persistence) and cross-speaker repetitiveness (convergence) behave similarly with respect to (1) their …
Effects of Risk Perception of Pests and Diseases on Tea Famers’ Green Control Techniques Adoption
Green control techniques support the concept of green plant protection, advocate for the safe and reasonable use of pesticides, and finally achieve the goal of controlling pests and diseases and protecting the environment. The purpose of this study is to explore the effect of risk perception of pests and diseases on farmers' usage intention of green control techniques. Based on 747 samples of tea farmers in Sichuan province, China, introducing th…
Curing the Sick and Other NLI Maladies
Against the backdrop of the ever-improving Natural Language Inference (NLI) models, recent efforts have focused on the suitability of the current NLI datasets and on the feasibility of the NLI task as it is currently approached. Many of the recent studies have exposed the inherent human disagreements of the inference task and have proposed a shift from categorical labels to human subjective probability assessments, capturing human uncertainty. In…
Health Workforce Development in Health Emergency and Disaster Risk Management
The Sendai Framework for Disaster Risk Reduction 2015-2030 placed human health at the centre of disaster risk reduction, calling for the global community to enhance local and national health emergency and disaster risk management (Health EDRM). The Health EDRM Framework, published in 2019, describes the functions required for comprehensive disaster risk management across prevention, preparedness, readiness, response, and recovery to improve the r…
The “M” in digital elevation models
The “M” in digital elevation models (DEM) stands for model, which literally means “a schematic description of a system, theory, or phenomenon that accounts for its known or inferred properties and may be used for further study of its characteristics.” A DEM fulfills the requirement of “a schematic description” of terrain. However, how to make it account for the “known or inferred properties” warrants further scrutiny. This article outlines three …
The “M” in digital elevation models
The “M” in digital elevation models (DEM) stands for model, which literally means “a schematic description of a system, theory, or phenomenon that accounts for its known or inferred properties and may be used for further study of its characteristics.” A DEM fulfills the requirement of “a schematic description” of terrain. However, how to make it account for the “known or inferred properties” warrants further scrutiny. This article outlines three …
The “M” in digital elevation models
The “M” in digital elevation models (DEM) stands for model, which literally means “a schematic description of a system, theory, or phenomenon that accounts for its known or inferred properties and may be used for further study of its characteristics.” A DEM fulfills the requirement of “a schematic description” of terrain. However, how to make it account for the “known or inferred properties” warrants further scrutiny. This article outlines three …
Health Workforce Development in Health Emergency and Disaster Risk Management
The Sendai Framework for Disaster Risk Reduction 2015-2030 placed human health at the centre of disaster risk reduction, calling for the global community to enhance local and national health emergency and disaster risk management (Health EDRM). The Health EDRM Framework, published in 2019, describes the functions required for comprehensive disaster risk management across prevention, preparedness, readiness, response, and recovery to improve the r…
Effects of Risk Perception of Pests and Diseases on Tea Famers’ Green Control Techniques Adoption
Green control techniques support the concept of green plant protection, advocate for the safe and reasonable use of pesticides, and finally achieve the goal of controlling pests and diseases and protecting the environment. The purpose of this study is to explore the effect of risk perception of pests and diseases on farmers' usage intention of green control techniques. Based on 747 samples of tea farmers in Sichuan province, China, introducing th…
Curing the Sick and Other NLI Maladies
Against the backdrop of the ever-improving Natural Language Inference (NLI) models, recent efforts have focused on the suitability of the current NLI datasets and on the feasibility of the NLI task as it is currently approached. Many of the recent studies have exposed the inherent human disagreements of the inference task and have proposed a shift from categorical labels to human subjective probability assessments, capturing human uncertainty. In…
Tracing semantic change with distributional methods
This paper uses the tools of distributional semantics to investigate the semantic change of algo from a noun meaning ‘goods, possessions’ and an indefinite pronoun ‘something’ in the Medieval/Classical period of Spanish to an indefinite pronoun and degree adverb ‘a bit’ in contemporary Spanish. We compare the results of a previous corpus-based study ( Amaral 2016 ) on the semantic change of algo with an analysis using word embeddings models with …
Intra- and interspeaker repetitiveness in Chengdu Mandarin locative variation
In producing linguistic variation, language users display a tendency to reuse the same variant. This paper compares the empirical properties of different types of repetitiveness in a single case study: locative variation in Chengdu Mandarin. Using conversational data from sociolinguistic interviews, we ask whether within-speaker repetitiveness (persistence) and cross-speaker repetitiveness (convergence) behave similarly with respect to (1) their …
Classifying the Shapes of Buildings by Combining Distance Field Enhancement and a Convolution Neural Network
The shape classification of building objects is crucial in fields such as map generalization and spatial queries. Recently, convolutional neural networks (CNNs) have been used to capture high-level features and classify building shape patterns based on raster representations. However, this raster-based deep learning method binarizes the areas into building and non-building zones and does not account for the distance information between these area…
Role‐playing computer games in disaster medicine education
The COVID-19 pandemic has forced a transition from traditional in-person teaching to virtual learning in disaster medicine education, posing significant challenges. The lack of dedicated teaching platforms, especially those offering immersive experiences in critical decision-making under austere conditions, created a challenging environment for medical students transitioning to disaster settings. The scarcity of resources and complex disaster sit…
Exploring hub genes and crucial pathways linked to oxidative stress in bipolar disorder depressive episodes through bioinformatics analysis
We identified three hub genes (TAC1, MAP2K1, and MAP2K4) in BD associated with OS, potentially influencing the diagnosis and treatment of BD. Based on the GEO database, our study provides novel insights into the relationship between BD and OS, offering promising therapeutic targets
Bilingual influences and sources of variability in acceptability judgments
Computer Science (6 works) · Artificial Intelligence (5 works) · Mathematics (5 works) · Psychology (4 works) · Linguistics (3 works) · Philosophy (3 works) · Social Psychology (3 works) · Disaster Response and Management (2 works) · Engineering (2 works) · Epistemology (2 works)