Kun Qian
Biographic Data
| ID | 525654 |
|---|---|
| NAME | Kun Qian |
| GIVEN NAMES | Kun |
| FAMILY NAME | Qian |
| SIGNATURE | QIAN K |
| AFFILIATIONS | Beijing Institute of Technology |
| ORCID | 0000-0002-0625-1834 |
| VERIFIED | Yes |
| TOTAL WORKS | 22 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 22 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
The current status and future prospects of artificial intelligence education in residency training
With the rapid advancement of artificial intelligence (AI) technology, its applications in medicine have grown increasingly widespread. In particular, AI has shown significant potential within residency education. This review examines current uses of AI in residency training, focusing on innovative educational models, curriculum design, outcome assessment, and existing challenges. By analyzing recent research across medical specialties, the discu…
Platformativity of Desire
This article examines labor relations in China’s entertainment live-streaming, where the state and private companies jointly regulate desire to secure political control and economic profit. Using Hao Wu’s documentary People’s Republic of Desire as a case study, I analyze how physical and affective labor are converted into emotional commodities circulated across platforms. Drawing on Jean-François Lyotard’s concept of the “libidinal economy,” I ar…
Creating Healthier Living Environments
Semantic Disentangling for Audiovisual Induced Emotion
Emotions regulation play an important role in human behavior, but exhibit considerable heterogeneity among individuals, which attenuates the generalization ability of emotion models. In this work, we aim to achieve robust emotion prediction through efficient disentanglement of affective semantic representations. In detail, the data generation mechanism behind observations from different perspectives is causally set, where latent variables that re…
Information Diffusion Prediction With Augmented Diffusion Dependency and Multigranularity Temporal Influence
Information diffusion prediction plays a pivotal role in the analysis of information propagation across social networks. Many existing methods rely on learning social homophily solely from users’ social connections as a single diffusion dependency to drive information diffusion. Moreover, these approaches often capture temporal influence from cascades within discrete time intervals, which might be inadequate in describing complex diffusion proces…
Physiological Electrosignal Asynchronous Acquisition Technology
With great pride and enthusiasm, we present the inaugural edition of IEEE Transactions on Computational Social Systems (TCSS) for 2024. Reflecting on the year gone by, 2023 stands as a hallmark of academic excellence and prolific output, wherein our journal has successfully disseminated a substantial volume of scholarly work—301 articles encompassing approximately 3600 pages, distributed across six distinct issues
A Novel Intelligence Evaluation Framework
Intelligence evaluation is a desirable intelligent application for sensing and interaction in various scenarios, e.g., education, office, and the aviation industry. For example, identifying gifted students, who learn faster and more efficiently than general students due to their neurophysiological advantages, and teaching different students according to their intelligence are urgent requirements in school education. However, current intelligence …
Large-scale EV charging scheduling considering on-site PV generation by combining an aggregated model and sorting-based methods
Large-scale electric vehicle (EV) charging scheduling is highly relevant for the growing number of EVs, while it can be complex to solve. A few existing studies have applied a two-stage scheduling approach to reduce computation time. The first stage approximates the optimal overall load, and the second prioritizes the charging. This work also attempts to apply such an approach for large-scale EV charging considering on-site photovoltaic (PV) gene…
Social inclusion regulates the effect of social exclusion on adaptation to emotional conflict
摘要: 情绪冲突适应是指人们调动认知控制资源解决当前情绪冲突会促进对随后情绪冲突任务的解决。基于社会排斥的自我情绪调节理论和自我决定理论, 本研究通过两个实验考察社会排斥是否影响情绪冲突适应以及社会接纳是否调节社会排斥对情绪冲突适应的影响。在实验1中被试被随机分为接纳组和排斥组。结果发现, 排斥组被试在反应时上的情绪冲突适应效应小于接纳组。在实验2中被试被随机分成接纳-接纳组、接纳-排斥组、排斥-接纳组和排斥-排斥组。结果发现, 接纳-排斥组比排斥-排斥组被试在反应时上表现出更大的情绪冲突适应效应, 而接纳-接纳组和排斥-接纳组被试的情绪冲突适应效应没有显著差异。这两个实验提示, 社会排斥会降低个体的情绪冲突适应, 而社会接纳可以调节被排斥者的情绪冲突适应。上述发现不仅有助于理解社会排斥与情绪问题之间的关系, 而且为干预社会排斥带来的情绪问题风险提供可行性方案
A sustainable approach to universal metabolic cancer diagnosis
Intelligent Music Intervention for Mental Disorders
Welcome to the first issue of IEEE Transactions on Computational Social Systems (TCSS) of 2023. The past 2022 was again a very productive year, in which we have published 159 articles with about 1850 pages in six issues. We also received much great and exciting news
Can a Holistic View Facilitate the Development of Intelligent Traditional Chinese Medicine? A Survey
Intelligent traditional Chinese medicine (ITCM) is an emerging interdisciplinary subject. It aims to efficiently and precisely promote the prevention and treatment of diseases and health management in Chinese medicine clinical practice via the combination of traditional Chinese medicine (TCM) fundamentals and artificial intelligence technologies. Presently, it is experiencing dramatic growth in recent years. On the one hand, a holistic view, as a…
Global, regional, and national incidence and mortality of neonatal sepsis and other neonatal infections, 1990–2019
Background: Neonatal infections, especially neonatal sepsis, are one of the major causes of incidence and mortality in pediatrics. However, the global burden of neonatal sepsis and other neonatal infections (NSNIs) remains unclear. Methods: From the 2019 global disease burden study, we collected annual incident cases, deaths, age-standardized incidence rates (ASIRs), and age-standardized deaths rates (ASDRs) of NSNIs in the past 30 years. Analysi…
Digital Mental Health—Breaking a Lance for Prevention
Welcome to the last issue of IEEE Transactions On Computational Social Systems (TCSS) of 2022. In this issue, we publish a Special Issue on Advanced Cognitive Computing for Data-Driven Computational Social Systems, which includes 23 articles. Moreover, we also would like to share some of our opinions and perspectives on “Digital Mental Health—Breaking a Lance for Prevention.”
Psychological Field Versus Physiological Field
Welcome to the fifth issue of IEEE Transactions on Computational Social Systems (TCSS) in 2022. After the usual introduction of our 24 regular articles, we would like to discuss the topic of “Psychological Field Versus Physiological Field: From Qualitative Analysis to Quantitative Modelling of the Mental Status.”
Fundamentals of Computational Psychophysiology
Welcome to the second issue of IEEE Transactions on Computational Social Systems (TCSS) in 2022. In this issue, we are going to present 25 regular articles. After the “scanning the issue,” I would like to share some of my opinions and perspectives on the fundamentals of computational psychophysiology: theory and methodology
Covid-19’s Impact on Mental Health—The Hour of Computational Aid
Welcome to the fourth issue of IEEE Transactions on Computational Social Systems (TCSS) in 2022. First, we have some exciting news to share. In late June, Clarivate updated the Impact Factor of all journals which are indexed by Web of Science. According to the Journal Citation Reports, the 2021 Journal Impact Factor of IEEE TCSS was 4.727. Many thanks to all for your great effort and support
Patient-centered care and patient satisfaction
Objective To introduce patient-centered approach in China and to relate it with Chinese patient satisfaction via validating the Chinese version of Patient-Professional Interaction Questionnaire (PPIQ-C). Design This cross-sectional survey was conducted through face-to-face interviews from June to September in 2019. Participants rated their patient-centered care experience via the 16-item translated PPIQ, their experience of the received medical s…
Situational factors shape moral judgements in the trolley dilemma in Eastern, Southern and Western countries in a culturally diverse sample
Comparison of different BMI cut-offs to screen for child and adolescent obesity in urban China
Objectives: To determine which set of BMI cut-offs is the most appropriate to define child and adolescent obesity in urban China. Design: A cross-sectional study was carried out between 1 November and 31 December in 2017. Setting: Community Healthcare Center in Minhang District, Shanghai, China. Participants: A total of 12 426 children and adolescents aged 7–17 years were selected by cluster random sampling. Bioelectrical impedance analysis was t…
Effect of Montmorillonite on 4-Nonylphenol Enrichment in Zebrafish
The aim of this study was to investigate the effect of montmorillonite on nonylphenol (4-nonylphenol, 4-NP) enrichment in a zebrafish model. The AB strain zebrafish were used as the animal subjects, and three concentration gradients were set for both nonylphenol and montmorillonite, according to their actual concentrations in aquaculture water in Huzhou City. A group treated with nonylphenol alone was also set, adding up to 12 experimental groups…
Imperial-Time-Order
Imperial-Time-Order
Effect of Montmorillonite on 4-Nonylphenol Enrichment in Zebrafish
The aim of this study was to investigate the effect of montmorillonite on nonylphenol (4-nonylphenol, 4-NP) enrichment in a zebrafish model. The AB strain zebrafish were used as the animal subjects, and three concentration gradients were set for both nonylphenol and montmorillonite, according to their actual concentrations in aquaculture water in Huzhou City. A group treated with nonylphenol alone was also set, adding up to 12 experimental groups…
Comparison of different BMI cut-offs to screen for child and adolescent obesity in urban China
Objectives: To determine which set of BMI cut-offs is the most appropriate to define child and adolescent obesity in urban China. Design: A cross-sectional study was carried out between 1 November and 31 December in 2017. Setting: Community Healthcare Center in Minhang District, Shanghai, China. Participants: A total of 12 426 children and adolescents aged 7–17 years were selected by cluster random sampling. Bioelectrical impedance analysis was t…
Digital Mental Health—Breaking a Lance for Prevention
Welcome to the last issue of IEEE Transactions On Computational Social Systems (TCSS) of 2022. In this issue, we publish a Special Issue on Advanced Cognitive Computing for Data-Driven Computational Social Systems, which includes 23 articles. Moreover, we also would like to share some of our opinions and perspectives on “Digital Mental Health—Breaking a Lance for Prevention.”
Psychological Field Versus Physiological Field
Welcome to the fifth issue of IEEE Transactions on Computational Social Systems (TCSS) in 2022. After the usual introduction of our 24 regular articles, we would like to discuss the topic of “Psychological Field Versus Physiological Field: From Qualitative Analysis to Quantitative Modelling of the Mental Status.”
Fundamentals of Computational Psychophysiology
Welcome to the second issue of IEEE Transactions on Computational Social Systems (TCSS) in 2022. In this issue, we are going to present 25 regular articles. After the “scanning the issue,” I would like to share some of my opinions and perspectives on the fundamentals of computational psychophysiology: theory and methodology
Covid-19’s Impact on Mental Health—The Hour of Computational Aid
Welcome to the fourth issue of IEEE Transactions on Computational Social Systems (TCSS) in 2022. First, we have some exciting news to share. In late June, Clarivate updated the Impact Factor of all journals which are indexed by Web of Science. According to the Journal Citation Reports, the 2021 Journal Impact Factor of IEEE TCSS was 4.727. Many thanks to all for your great effort and support
Patient-centered care and patient satisfaction
Objective To introduce patient-centered approach in China and to relate it with Chinese patient satisfaction via validating the Chinese version of Patient-Professional Interaction Questionnaire (PPIQ-C). Design This cross-sectional survey was conducted through face-to-face interviews from June to September in 2019. Participants rated their patient-centered care experience via the 16-item translated PPIQ, their experience of the received medical s…
Situational factors shape moral judgements in the trolley dilemma in Eastern, Southern and Western countries in a culturally diverse sample
Intelligent Music Intervention for Mental Disorders
Welcome to the first issue of IEEE Transactions on Computational Social Systems (TCSS) of 2023. The past 2022 was again a very productive year, in which we have published 159 articles with about 1850 pages in six issues. We also received much great and exciting news
Can a Holistic View Facilitate the Development of Intelligent Traditional Chinese Medicine? A Survey
Intelligent traditional Chinese medicine (ITCM) is an emerging interdisciplinary subject. It aims to efficiently and precisely promote the prevention and treatment of diseases and health management in Chinese medicine clinical practice via the combination of traditional Chinese medicine (TCM) fundamentals and artificial intelligence technologies. Presently, it is experiencing dramatic growth in recent years. On the one hand, a holistic view, as a…
Global, regional, and national incidence and mortality of neonatal sepsis and other neonatal infections, 1990–2019
Background: Neonatal infections, especially neonatal sepsis, are one of the major causes of incidence and mortality in pediatrics. However, the global burden of neonatal sepsis and other neonatal infections (NSNIs) remains unclear. Methods: From the 2019 global disease burden study, we collected annual incident cases, deaths, age-standardized incidence rates (ASIRs), and age-standardized deaths rates (ASDRs) of NSNIs in the past 30 years. Analysi…
Physiological Electrosignal Asynchronous Acquisition Technology
With great pride and enthusiasm, we present the inaugural edition of IEEE Transactions on Computational Social Systems (TCSS) for 2024. Reflecting on the year gone by, 2023 stands as a hallmark of academic excellence and prolific output, wherein our journal has successfully disseminated a substantial volume of scholarly work—301 articles encompassing approximately 3600 pages, distributed across six distinct issues
A Novel Intelligence Evaluation Framework
Intelligence evaluation is a desirable intelligent application for sensing and interaction in various scenarios, e.g., education, office, and the aviation industry. For example, identifying gifted students, who learn faster and more efficiently than general students due to their neurophysiological advantages, and teaching different students according to their intelligence are urgent requirements in school education. However, current intelligence …
Large-scale EV charging scheduling considering on-site PV generation by combining an aggregated model and sorting-based methods
Large-scale electric vehicle (EV) charging scheduling is highly relevant for the growing number of EVs, while it can be complex to solve. A few existing studies have applied a two-stage scheduling approach to reduce computation time. The first stage approximates the optimal overall load, and the second prioritizes the charging. This work also attempts to apply such an approach for large-scale EV charging considering on-site photovoltaic (PV) gene…
Social inclusion regulates the effect of social exclusion on adaptation to emotional conflict
摘要: 情绪冲突适应是指人们调动认知控制资源解决当前情绪冲突会促进对随后情绪冲突任务的解决。基于社会排斥的自我情绪调节理论和自我决定理论, 本研究通过两个实验考察社会排斥是否影响情绪冲突适应以及社会接纳是否调节社会排斥对情绪冲突适应的影响。在实验1中被试被随机分为接纳组和排斥组。结果发现, 排斥组被试在反应时上的情绪冲突适应效应小于接纳组。在实验2中被试被随机分成接纳-接纳组、接纳-排斥组、排斥-接纳组和排斥-排斥组。结果发现, 接纳-排斥组比排斥-排斥组被试在反应时上表现出更大的情绪冲突适应效应, 而接纳-接纳组和排斥-接纳组被试的情绪冲突适应效应没有显著差异。这两个实验提示, 社会排斥会降低个体的情绪冲突适应, 而社会接纳可以调节被排斥者的情绪冲突适应。上述发现不仅有助于理解社会排斥与情绪问题之间的关系, 而且为干预社会排斥带来的情绪问题风险提供可行性方案
A sustainable approach to universal metabolic cancer diagnosis
Creating Healthier Living Environments
Semantic Disentangling for Audiovisual Induced Emotion
Emotions regulation play an important role in human behavior, but exhibit considerable heterogeneity among individuals, which attenuates the generalization ability of emotion models. In this work, we aim to achieve robust emotion prediction through efficient disentanglement of affective semantic representations. In detail, the data generation mechanism behind observations from different perspectives is causally set, where latent variables that re…
Information Diffusion Prediction With Augmented Diffusion Dependency and Multigranularity Temporal Influence
Information diffusion prediction plays a pivotal role in the analysis of information propagation across social networks. Many existing methods rely on learning social homophily solely from users’ social connections as a single diffusion dependency to drive information diffusion. Moreover, these approaches often capture temporal influence from cascades within discrete time intervals, which might be inadequate in describing complex diffusion proces…
The current status and future prospects of artificial intelligence education in residency training
With the rapid advancement of artificial intelligence (AI) technology, its applications in medicine have grown increasingly widespread. In particular, AI has shown significant potential within residency education. This review examines current uses of AI in residency training, focusing on innovative educational models, curriculum design, outcome assessment, and existing challenges. By analyzing recent research across medical specialties, the discu…
Platformativity of Desire
This article examines labor relations in China’s entertainment live-streaming, where the state and private companies jointly regulate desire to secure political control and economic profit. Using Hao Wu’s documentary People’s Republic of Desire as a case study, I analyze how physical and affective labor are converted into emotional commodities circulated across platforms. Drawing on Jean-François Lyotard’s concept of the “libidinal economy,” I ar…
Computer Science (13 works) · Psychology (12 works) · Data science (7 works) · Artificial Intelligence (6 works) · Medicine (6 works) · Engineering (5 works) · Mental Health Research Topics (4 works) · Political science (4 works) · Psychiatry (4 works) · Mental health (3 works)