A5101576537- Conflict Management and Negotiation
- Advanced Image and Video Retrieval Techniques
- International Student and Expatriate Challenges
- Gender Diversity and Inequality
- Advanced Neural Network Applications
- Text and Document Classification Technologies
- Family Business Performance and Succession
- Cultural Differences and Values
- Multimodal Machine Learning Applications
- Advanced Text Analysis Techniques
- Advanced Graph Neural Networks
- Face and Expression Recognition
- Social and Intergroup Psychology
- Color perception and design
- Advanced Clustering Algorithms Research
- Employment and Welfare Studies
- American Literature and Culture
- Personal Information Management and User Behavior
- Psychology of Moral and Emotional Judgment
- Sensory Analysis and Statistical Methods
- Transport Systems and Technology
- Video Surveillance and Tracking Methods
- COVID-19 diagnosis using AI
- Evolutionary Psychology and Human Behavior
- Visual Attention and Saliency Detection
Singapore University of Social Sciences
2019-2025
Nanyang Technological University
2011-2016
Beijing Normal University
2011-2015
Beijing Haidian Hospital
2013
Guangdong Polytechnic Normal University
2009-2010
University of Languages and International Studies
2009
Zhongshan Hospital
2007
Summary Prior research has found that each culture and gender influences negotiation strategies outcomes, but less is known about their interplay. We integrate these two streams by providing a meta‐analytic review of the interactive impact on performance. reviewed 185 studies reported differences in intracultural performance across 30 societies varied seven cultural dimensions. Results showed Hofstede's individualism–collectivism, GLOBE's in‐group collectivism assertiveness practices,...
Introduction/context Healthcare workers (HCWs) play an important role in fighting against the COVID-19 pandemic. However, they have been exposed to mixed public responses more significantly during pandemic, which potentially affected their work and life. Aim We aim study what toward HCWs existed, how why such impacted HCW’s engagement well-being, Human Resource (HR) professionals navigate these impacts. These understandings are for improving HCWs’ life quality. Methods adopted a approach...
Abstract Gender‐related categorization is a key feature of the literature on gender in negotiation. While previous focused context‐free traits such as warmth and competence, we examine how people categorize specific negotiation goals behaviors masculine feminine across U nited S tates C hina different contexts , illustrating role cultural situational gender‐related categorization. Two studies found that while A merican participants categorized competitive cooperative ones...
Limited-supervised multi-label learning (LML) leverages weak or noisy supervision for classification model training over data with label noise, which contain missing labels and/or redundant labels. Existing studies usually solve LML problems by assuming that noise is independent of the input features and class labels, while ignoring fact may depend on (instance-dependent) classes (label-dependent) in many real-world applications. In this paper, we propose limited-supervised Multi-label...
In recent research, supervised image clustering based on Graph Neural Networks (GNN) connectivity prediction has demonstrated considerable improvements over traditional algorithms. However, existing algorithms are usually time-consuming and limit their applications. order to infer the between instances, they created a subgraph for each instance. Due creation process of large number subgraphs as input GNN, computation overheads enormous. To address high overhead problem in GNN prediction, we...
Intelligent maintenance system (IMS) is a potential selection for modern CNC machine tools. Based on the theory of Kansei engineering (K-E), new distributed intelligent (DIMS) has been developed The DIMS mainly composed expert base, engineer station, K-E operator, concrete processes or conditions, and communication connections. an excellent merit integrating advanced characteristics expressing human's affections, feelings, emotions into units In contrast to general system, this able implant...
During the COVID-19 pandemic, nations implemented various preventive measures, triggering varying online responses. This study examines cultural influences on public stances toward these measures and their impacts cases/deaths. Stance detection analysis was used to analyze 16,428,557 Tweets regarding from 95 countries, selected based Hofstede's dimensions. To ensure variety of population, countries were chosen Twitter data availability a minimum sample size 385 tweets, achieving 95%...
Open-vocabulary learning has revolutionized image segmentation, enabling the delineation of arbitrary categories from textual descriptions. While current methods often employ specialized architectures, OVAMTSeg presents a unified framework for Open-Vocabulary and Multitask Image Segmentation. Leveraging adaptive prompt learning, excels in capturing category-sensitive concepts, ensuring robustness across diverse multi-task scenarios. Text prompts effectively capture semantic contextual...
In multi-label learning, one of the major challenges is that data are associated with label noise including random noisy labels (e.g., encoding errors) and created by annotators missing, extra, or error label), where promoted different structures gaussian, sparse subjective). Existing methods tailored to handle specific structure. However, they lack consideration fact always dirty labels, simutaneously subjective, in real applications. this paper, we formalize learning as a new problem,...
The labour force is experiencing an increased proportion of mature workers, alongside a slowdown in the number young entrants joining workforce. Many organisations will need to adapt their workforce management strategies cushion reduced supply This paper explores implication this demographic development by utilising multimethod approach examine current and future trends market as well key factors that can influence decisions remain for workers women with caregiving responsibilities....
Culture and gender have been separately studied as important factors that influence individual's negotiation strategy outcome. This study proposed a need to corporate these two together in research under an interactive perspective by providing meta-analytic review on high- versus low-context culture strong moderator difference of performance. Studies reporting the objective outcomes from cultures were reviewed. Altering previous consensus male performance was better than female, results...
In order to check whether (un)civilised behaviour can be a valid indigenous intergroup comparison dimension for Chinese people, three studies were conducted based on stereotypic explanatory bias (SEB). Study 1 examined the media representation of and Western behaviours, SEB results suggested ingroup derogation people regarding civilised behaviour. 2 aimed use more empirical approach further analyse at both implicit explicit levels. participants’ indicated outgroup favouritism level; however,...
Currently, with the advent of myriad news applications, which have increased volume information, users are faced challenge discovering this information effectively and efficiently. In paper, we present one web-based platform, NewsInsider, providing an array novel features for exploring reading in Singapore. NewsInsider integrates multiple crawlers to extract from online sources, employs analytics Artificial Intelligence automatically process (e.g., categorizing news, extracting trending...
Intelligent maintenance system (IMS) is a potential selection for modern construction machinery. Kansei engineering (K-E) support systematically exploring people's "feelings" about product or service and translating the feelings into design parameters. Based on theory of collaborative engineering, new intelligent has been developed. Different from conventional system, aims to deal with impact different operators' emotions same type The an excellent merit integrating advanced characteristics...
In this digitalized era, Internet addiction has been a severe problem that needs imperative solutions derived from the same mechanism leads to its addiction. To uncover more nuanced for in association with decision-making focus and emotions thus generate effective interventions, we conducted three experiments investigate how various forms of emotion priming affect intertemporal choice among addicts normal users. We divided into categories, namely emotional valence (negative positive...
Supervised clustering methods cluster images using graph convolutional networks (GCN) via linkage prediction, and have shown significant improvements over the traditional algorithms (e.g., K-means, DBScan, etc.) in terms of effectiveness. However, existing supervised approaches are always time-consuming, which may limit their usage. The high computation overhead is mainly resulted from generating processing a large amount subgraphs, each generated for one image instance order to infer...