Haifeng Li
Biographic Data
| ID | 3917180 |
|---|---|
| NAME | Haifeng Li |
| GIVEN NAMES | Haifeng |
| FAMILY NAME | Li |
| SIGNATURE | LI H |
| AFFILIATIONS | Central South University |
| ORCID | 0000-0002-2534-2299 |
| VERIFIED | Yes |
| TOTAL WORKS | 24 |
| TOTAL CITATIONS | 15 |
| AUTHOR COUNT | 24 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
What generative AI can do to facilitate group awareness in collaboration
Generative AI is becoming an important intelligent tool for collaborative learning interactions and promoting collective cognition. However, the pathways and effects of promoting group awareness in collaboration remain unclear. To reveal how generative AI influences interactive behavior in collaborative learning, this study, grounded in the situated expectancy-value theory framework, examines the critical role of environmental support and expecta…
Exploring the dilemma of full-screen ads when opening an app
Full-screen ads when opening an app, also known as splash ads, is highly favored by advertisers and app developers. However, such ads are reported to often result in users’ ad avoidance. This study investigates the effect of splash ads on users’ attitudes toward such ads and the apps displaying them. We find that splash ads lead to negative users’ attitudes toward ads and user satisfaction with apps through increasing perceived goal impediment. W…
Understanding the UI-design features paradox of the skip option in splash advertising
Splash advertising appears on mobile apps at launch. Since the skip option of splash ads is a critical function for user experience and ad effectiveness, a more in-depth perspective is required to shift attention from the mere presence of the skip option to its UI-design features, and to further explore its influence. This study aims to explore the impact of the UI-design features of the skip option within the context of splash ads on users’ atti…
Multimodal physiological signal emotion recognition based on multi-head cross attention with representation learning
These results underscore the potential of our model in the domain of affective computing and hold significant implications for research in healthcare and human-computer interaction
Dgat
DGAT holds significant academic and practical value in the analysis of emotional EEG signals and applications related to other physiological signal data
The Interplay of Identity Construction and Motivational Development in Chinese Heritage Language Learning
This study explores the intricate relationship between identity construction and motivational development in Chinese Heritage Language (CHL) learners. Drawing on the narratives of three CHL learners in the UK, the research employs a post-structuralist perspective and the Heritage Language Identity Development Model (HLIDM) to analyze the dynamic interplay of personal histories, spatial contexts, and relational experiences in shaping learners’ ide…
Psychometric Assessment of the Structural-functional Social Support Scale (SFSSS) among Chinese older adults
Effects of a ChatGPT-based flipped learning guiding approach on learners’ courseware project performances and perceptions
In recent decades, flipped learning has been adopted by teachers to improve learning achievement. However, it is challenging to provide all students with instant personalised guidance at the same time. To address this gap, based on Chat Generative Pre-trained Transformer (ChatGPT) and the learning scaffolding theory, I developed a ChatGPT-based flipped learning guiding approach (ChatGPT-FLGA) according to the analysis, design, development, implem…
Value-directed attentional refreshing and its mechanism
摘要: 人们能够优先处理工作记忆中更有价值的信息, 可能是因为人们在工作记忆维持阶段优先刷新了这些信息。那么, 人们是如何优先刷新这些信息的呢?本文通过价值导向的记忆范式操纵信息的价值, 结合点探测任务(实验1和实验2)和空白屏范式(实验3)考察了价值导向的注意刷新及其机制。结果表明:(1)高价值项目的记忆成绩优于低价值项目; (2)不论项目是同时还是继时呈现, 相比低价值项目, 高价值项目对应位置的点探测反应时显著更快; (3)相比低价值项目, 被试在高价值项目对应位置的注视频率显著更高。上述结果表明, 价值能够引导注意刷新; 价值导向的注意刷新可能是通过增加高价值信息的刷新频率来实现的
The Burden of Trachea, Bronchus, and Lung Cancer Attributable to Occupational Exposure From 1990 to 2019
Objectives: Occupational exposure to carcinogens is associated with trachea, bronchus, and lung (TBL) cancer. The objective of this study was to provide global and regional estimates of the burden of TBL cancer associated with occupational carcinogens (OCs) between 1990 and 2019. Methods: Age-standardized mortality rates (ASMR) and age-standardized disability-adjusted life years (DALYs) rates (ASDR) of TBL cancer related to exposure to OCs at the…
Deemd-SPP
Electroencephalography (EEG) is one of the most widely-used biosignal capturing technology for investigating brain activities, cognitive diseases, and affective disorders. To understand the underlying principles of brain activities and affective disorders using EEG data, one of the fundamental tasks is to accurately identify emotions from EEG signals, which has attracted huge attention in the field of affective computing. To improve the accuracy …
Association between Sleep Duration and Physical Fitness in Children Aged 3–6 Years
Aim: To explore associations between sleep duration and physical fitness (PF) of children aged 3−6 years. Methods: This study investigated the sleep duration and PF data of children aged 3−6 years by stratified random sampling. The restricted cubic spline model and binary logistic regression analysis were mainly used for the empirical analysis of the correlation effect between sleep duration and PF. The final data had a total of 21,857 children, …
A comparative study of the disease burden attributable to asbestos in Brazil, China, Kazakhstan, and Russia between 1990 and 2019
The ASMR and ASDR of disease burden attributable to asbestos decreased between 1990 and 2019 globally. TBL cancer was the leading cause of death and DALYs attributable to asbestos between 1990 and 2019. There has been an increasing trend in mortality and DALYs globally, especially in older men. The burden of disease attributable to asbestos is increasing in China, especially in men
The Ownership, Innovation, and Sustainable Development of Micro and Small Enterprises
This study aims to examine the impacts of ownership and innovation on the sustainable development of micro and small enterprises (MSEs). Using the dataset from the 2015 China Micro and Small Enterprise Survey, this study divides the ownership of MSEs into state ownership, collective ownership, private ownership, and foreign ownership. In this study, the sustainable development of MSEs is measured by four sets of variables, sustainable operation, …
Analysis of the Uniqueness and Similarity of City Landscapes Based on Deep Style Learning
The city landscape is largely related to the design concept and aesthetics of planners. Influenced by globalization, planners and architects have borrowed from available designs, resulting in the “one city with a thousand faces” phenomenon. In order to create a unique urban landscape, they need to focus on local urban characteristics while learning new knowledge. Therefore, it is particularly important to explore the characteristics of cities’ la…
A3t-GCN
Accurate real-time traffic forecasting is a core technological problem against the implementation of the intelligent transportation system. However, it remains challenging considering the complex spatial and temporal dependencies among traffic flows. In the spatial dimension, due to the connectivity of the road network, the traffic flows between linked roads are closely related. In the temporal dimension, although there exists a tendency among ad…
T-GCN
Accurate and real-time traffic forecasting plays an important role in the intelligent traffic system and is of great significance for urban traffic planning, traffic management, and traffic control. However, traffic forecasting has always been considered an “open” scientific issue, owing to the constraints of urban road network topological structure and the law of dynamic change with time. To capture the spatial and temporal dependences simultane…
DeepCropNet
Large-scale crop yield estimation is critical for understanding the dynamics of global food security. Understanding and quantifying the temporal cumulative effect of crop growth and spatial variances across different regions remains challenging for large-scale crop yield estimation. In this study, a deep spatial-temporal learning framework, named DeepCropNet (DCN), has been developed to hierarchically capture the features for county-level corn yi…
Salvia miltiorrhiza polysaccharide activates T Lymphocytes of cancer patients through activation of TLRs mediated -Mapk and -NF-κB signaling pathways
Antioxidant and neuroprotective effects of Dictyophora indusiata polysaccharide in Caenorhabditis elegans
Planning of Green Space Ecological Network in Urban Areas
Green space plays an important role in sustainable urban development and ecology by virtue of multiple environmental, recreational, and economic benefits. Constructing an effective and harmonious urban ecological network and maintaining a sustainable living environment in response to rapid urbanization are the key issues required to be resolved by landscape planners. In this paper, Nanchang City, China was selected as a study area. Based on a ser…
Modeling urban land use change by the integration of cellular automaton and Markov model
Sustainable Consumption and Life Satisfaction
Possibility and potential of clean development mechanisms in China
China has become the world's second largest greenhouse gas (GHG) emitter behind the United States. It emits approximately three billion tons of CO2 equivalents every year. Its growing economy and large population are making a wealthier, more consumption-oriented country. Energy demand is expected to grow 5–10% per year through 2030. Therefore, a large potential of GHG emission reduction in China can be expected. The clean development mechanism (C…
Possibility and potential of clean development mechanisms in China
China has become the world's second largest greenhouse gas (GHG) emitter behind the United States. It emits approximately three billion tons of CO2 equivalents every year. Its growing economy and large population are making a wealthier, more consumption-oriented country. Energy demand is expected to grow 5–10% per year through 2030. Therefore, a large potential of GHG emission reduction in China can be expected. The clean development mechanism (C…
Modeling urban land use change by the integration of cellular automaton and Markov model
Sustainable Consumption and Life Satisfaction
Planning of Green Space Ecological Network in Urban Areas
Green space plays an important role in sustainable urban development and ecology by virtue of multiple environmental, recreational, and economic benefits. Constructing an effective and harmonious urban ecological network and maintaining a sustainable living environment in response to rapid urbanization are the key issues required to be resolved by landscape planners. In this paper, Nanchang City, China was selected as a study area. Based on a ser…
Antioxidant and neuroprotective effects of Dictyophora indusiata polysaccharide in Caenorhabditis elegans
Salvia miltiorrhiza polysaccharide activates T Lymphocytes of cancer patients through activation of TLRs mediated -Mapk and -NF-κB signaling pathways
T-GCN
Accurate and real-time traffic forecasting plays an important role in the intelligent traffic system and is of great significance for urban traffic planning, traffic management, and traffic control. However, traffic forecasting has always been considered an “open” scientific issue, owing to the constraints of urban road network topological structure and the law of dynamic change with time. To capture the spatial and temporal dependences simultane…
DeepCropNet
Large-scale crop yield estimation is critical for understanding the dynamics of global food security. Understanding and quantifying the temporal cumulative effect of crop growth and spatial variances across different regions remains challenging for large-scale crop yield estimation. In this study, a deep spatial-temporal learning framework, named DeepCropNet (DCN), has been developed to hierarchically capture the features for county-level corn yi…
Analysis of the Uniqueness and Similarity of City Landscapes Based on Deep Style Learning
The city landscape is largely related to the design concept and aesthetics of planners. Influenced by globalization, planners and architects have borrowed from available designs, resulting in the “one city with a thousand faces” phenomenon. In order to create a unique urban landscape, they need to focus on local urban characteristics while learning new knowledge. Therefore, it is particularly important to explore the characteristics of cities’ la…
A3t-GCN
Accurate real-time traffic forecasting is a core technological problem against the implementation of the intelligent transportation system. However, it remains challenging considering the complex spatial and temporal dependencies among traffic flows. In the spatial dimension, due to the connectivity of the road network, the traffic flows between linked roads are closely related. In the temporal dimension, although there exists a tendency among ad…
The Burden of Trachea, Bronchus, and Lung Cancer Attributable to Occupational Exposure From 1990 to 2019
Objectives: Occupational exposure to carcinogens is associated with trachea, bronchus, and lung (TBL) cancer. The objective of this study was to provide global and regional estimates of the burden of TBL cancer associated with occupational carcinogens (OCs) between 1990 and 2019. Methods: Age-standardized mortality rates (ASMR) and age-standardized disability-adjusted life years (DALYs) rates (ASDR) of TBL cancer related to exposure to OCs at the…
Deemd-SPP
Electroencephalography (EEG) is one of the most widely-used biosignal capturing technology for investigating brain activities, cognitive diseases, and affective disorders. To understand the underlying principles of brain activities and affective disorders using EEG data, one of the fundamental tasks is to accurately identify emotions from EEG signals, which has attracted huge attention in the field of affective computing. To improve the accuracy …
Association between Sleep Duration and Physical Fitness in Children Aged 3–6 Years
Aim: To explore associations between sleep duration and physical fitness (PF) of children aged 3−6 years. Methods: This study investigated the sleep duration and PF data of children aged 3−6 years by stratified random sampling. The restricted cubic spline model and binary logistic regression analysis were mainly used for the empirical analysis of the correlation effect between sleep duration and PF. The final data had a total of 21,857 children, …
A comparative study of the disease burden attributable to asbestos in Brazil, China, Kazakhstan, and Russia between 1990 and 2019
The ASMR and ASDR of disease burden attributable to asbestos decreased between 1990 and 2019 globally. TBL cancer was the leading cause of death and DALYs attributable to asbestos between 1990 and 2019. There has been an increasing trend in mortality and DALYs globally, especially in older men. The burden of disease attributable to asbestos is increasing in China, especially in men
The Ownership, Innovation, and Sustainable Development of Micro and Small Enterprises
This study aims to examine the impacts of ownership and innovation on the sustainable development of micro and small enterprises (MSEs). Using the dataset from the 2015 China Micro and Small Enterprise Survey, this study divides the ownership of MSEs into state ownership, collective ownership, private ownership, and foreign ownership. In this study, the sustainable development of MSEs is measured by four sets of variables, sustainable operation, …
Psychometric Assessment of the Structural-functional Social Support Scale (SFSSS) among Chinese older adults
Effects of a ChatGPT-based flipped learning guiding approach on learners’ courseware project performances and perceptions
In recent decades, flipped learning has been adopted by teachers to improve learning achievement. However, it is challenging to provide all students with instant personalised guidance at the same time. To address this gap, based on Chat Generative Pre-trained Transformer (ChatGPT) and the learning scaffolding theory, I developed a ChatGPT-based flipped learning guiding approach (ChatGPT-FLGA) according to the analysis, design, development, implem…
Value-directed attentional refreshing and its mechanism
摘要: 人们能够优先处理工作记忆中更有价值的信息, 可能是因为人们在工作记忆维持阶段优先刷新了这些信息。那么, 人们是如何优先刷新这些信息的呢?本文通过价值导向的记忆范式操纵信息的价值, 结合点探测任务(实验1和实验2)和空白屏范式(实验3)考察了价值导向的注意刷新及其机制。结果表明:(1)高价值项目的记忆成绩优于低价值项目; (2)不论项目是同时还是继时呈现, 相比低价值项目, 高价值项目对应位置的点探测反应时显著更快; (3)相比低价值项目, 被试在高价值项目对应位置的注视频率显著更高。上述结果表明, 价值能够引导注意刷新; 价值导向的注意刷新可能是通过增加高价值信息的刷新频率来实现的
The Interplay of Identity Construction and Motivational Development in Chinese Heritage Language Learning
This study explores the intricate relationship between identity construction and motivational development in Chinese Heritage Language (CHL) learners. Drawing on the narratives of three CHL learners in the UK, the research employs a post-structuralist perspective and the Heritage Language Identity Development Model (HLIDM) to analyze the dynamic interplay of personal histories, spatial contexts, and relational experiences in shaping learners’ ide…
Understanding the UI-design features paradox of the skip option in splash advertising
Splash advertising appears on mobile apps at launch. Since the skip option of splash ads is a critical function for user experience and ad effectiveness, a more in-depth perspective is required to shift attention from the mere presence of the skip option to its UI-design features, and to further explore its influence. This study aims to explore the impact of the UI-design features of the skip option within the context of splash ads on users’ atti…
Multimodal physiological signal emotion recognition based on multi-head cross attention with representation learning
These results underscore the potential of our model in the domain of affective computing and hold significant implications for research in healthcare and human-computer interaction
Dgat
DGAT holds significant academic and practical value in the analysis of emotional EEG signals and applications related to other physiological signal data
What generative AI can do to facilitate group awareness in collaboration
Generative AI is becoming an important intelligent tool for collaborative learning interactions and promoting collective cognition. However, the pathways and effects of promoting group awareness in collaboration remain unclear. To reveal how generative AI influences interactive behavior in collaborative learning, this study, grounded in the situated expectancy-value theory framework, examines the critical role of environmental support and expecta…
Exploring the dilemma of full-screen ads when opening an app
Full-screen ads when opening an app, also known as splash ads, is highly favored by advertisers and app developers. However, such ads are reported to often result in users’ ad avoidance. This study investigates the effect of splash ads on users’ attitudes toward such ads and the apps displaying them. We find that splash ads lead to negative users’ attitudes toward ads and user satisfaction with apps through increasing perceived goal impediment. W…
Computer Science (11 works) · Psychology (9 works) · Geography (7 works) · Artificial Intelligence (5 works) · Business (5 works) · China (5 works) · Social Psychology (5 works) · Environmental Science (4 works) · Mathematics (4 works) · Medicine (4 works)