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Climate Change Concerns And Mortgage Lending, Tinghua Duan, Frank Weikai Li Jan 2024

Climate Change Concerns And Mortgage Lending, Tinghua Duan, Frank Weikai Li

Research Collection Lee Kong Chian School Of Business

We examine whether beliefs about climate change affect loan officers’ mortgage lending decisions. We show that abnormally high local temperature leads to elevated attention to and belief in climate change in a region. Loan officers approve fewer mortgage applications and originate lower amounts of loans in abnormally warm weather. This effect is stronger among counties heavily exposed to the risk of sea-level rise, during periods of heightened public attention to climate change, and for loans originated by small lenders. Additional tests suggest that the negative relation between temperature and approval rate is not fully explained by changes in local economic …

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Shadow Bank, Risk-Taking, And Real Estate Financing: Evidence From The Online Loan Market, Xiaoying Deng, Chong Liu, Eng Seow Ong Jan 2024

Shadow Bank, Risk-Taking, And Real Estate Financing: Evidence From The Online Loan Market, Xiaoying Deng, Chong Liu, Eng Seow Ong

Research Collection Lee Kong Chian School Of Business

This paper examines whether and how individual risk-taking behavior affects real estate financing through shadow banks. Using the loan data from an online platform in China, we show that riskier households tend to employ online loans to meet the increasing down-payment in their home purchase. Individual investors are likely to fund riskier real estate loans with higher expected returns. Real estate loans experience higher ex-post default rates than other types of loans. The effect is more pronounced during the period of credit constraints.

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The Effects Of Language-Related Misunderstanding At Work, John Fiset, Devasheesh P. Bhave, Nilotpal Jha Jan 2024

The Effects Of Language-Related Misunderstanding At Work, John Fiset, Devasheesh P. Bhave, Nilotpal Jha

Research Collection Lee Kong Chian School Of Business

Demographic, technological, and global trends have brought the language used at the workplace to the forefront. A growing body of research reveals that language could result in misunderstanding at work, and influence employees' performance and attitudinal outcomes. Language at work encompasses standard language (e.g., English) as well as several hybrid forms of language (non-native accents, code-switching, and jargon). We delineate how these forms of language could result in misunderstanding. We then identify relational, affective, and informational mechanisms that underlie the relationship between language-related misunderstanding and employees' performance and attitudinal outcomes, and highlight key boundary conditions. In doing so, we uncover …

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R&D Project Portfolio Collaboration: How To Structure The Strategic Alliance, Guiyun Feng, Pascale Crama, Wenqi Lian Jan 2024

R&D Project Portfolio Collaboration: How To Structure The Strategic Alliance, Guiyun Feng, Pascale Crama, Wenqi Lian

Research Collection Lee Kong Chian School Of Business

Incumbent companies target innovative firms with promising research and development (R&D) projects to rejuvenate their product portfolio. Such strategic alliances create value by combining the innovator’s research expertise with the partner firm’s superior marketing capability. The partner firm chooses the timing and payment terms of the strategic alliance, accounting for the innovator's budget and marketing capability, and the project portfolio's market interaction and revenue variability. The partner firm may prefer delayed alliances post R&D completion for innovator firms with high marketing capability when the innovator has sufficient budget or when market interaction is weak. Upfront alliances - prior to the …

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The Dark Side Of Category Expansion: Will Existing Ones Pay The Price?, Qi Yu, Ron Berman, Eric Bradlow Jan 2024

The Dark Side Of Category Expansion: Will Existing Ones Pay The Price?, Qi Yu, Ron Berman, Eric Bradlow

Research Collection Lee Kong Chian School Of Business

Many retailers that manage product assortments believe that “more is better”. We challenge this conventional wisdom by demonstrating that a retailer may face more price-sensitive demand for existing categories after a category expansion. While introducing a new category to a store may increase the demand for the existing ones, this increase sometimes suggests a movement towards the steeper part of the demand curve and an increase in price sensitivity. We build a model of multi-category purchases with transportation costs and generate a series of theoretical predictions of the changes in price sensitivity after category expansion. We then estimate the model …

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Why The Ethical Use Of Ai Matters For Your Career, Jack Mcguire, David De Cremer, Yorck Hesselbarth, Leander De Schutter Jan 2024

Why The Ethical Use Of Ai Matters For Your Career, Jack Mcguire, David De Cremer, Yorck Hesselbarth, Leander De Schutter

Research Collection Lee Kong Chian School Of Business

In the contemporary digital era, innovations such as artificial intelligence (AI) are profoundly transforming the business landscape (De Cremer, 2020). The buzz surrounding ChatGPT, coupled with recent assertions about the sentience of Google’s LaMDA, a large language model, underscore the prominence of chatbot technology in these advancements (Adamopoulou & Moussiades, 2020; Ryu & Lee, 2018; Tiku, 2022). Customer-oriented chatbots, an emergent application of this tech, offer unparalleled efficiency and cost-effectiveness, operating ceaselessly and responding to client inquiries in real time (Salesforce, Research, 2019). Yet, amidst these advantages lies an ethical conundrum. Customers cherish genuine human interaction and can become quickly …

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Do Real-Time Strategy Video Gamers Have Better Attentional Control?, Mengxin He, Lin-Xuan Xu, Chiang-Shan R. Li, Zihan Liu, Jiaqi Hu, Xiangyi Guo, Hongyun Liu, Jin-Tao Zhang Jan 2024

Do Real-Time Strategy Video Gamers Have Better Attentional Control?, Mengxin He, Lin-Xuan Xu, Chiang-Shan R. Li, Zihan Liu, Jiaqi Hu, Xiangyi Guo, Hongyun Liu, Jin-Tao Zhang

Research Collection Lee Kong Chian School Of Business

Objective: Do real-time strategy (RTS) video gamers have better attentional control? To examine this issue, we tested experienced versus inexperienced RTS video gamers on multi-object tracking tasks (MOT) and dual-MOT tasks with visual or auditory secondary tasks (dMOT). We employed a street-crossing task with a visual working memory task as a secondary task in a virtual reality (VR) environment to examine any generalized attentional advantage. Background: Similar to action video games, RTS video games require players to switch attention between multiple visual objects and views. However, whether the attentional control advantage is limited by sensory modalities or generalizes to real-life …

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Strategic Diplomacy: The Singapore Case, Country Report For The Project On ‘Strategic Diplomacy For 21st Century Defence And Statecraft’, Evelyn Goh, Wee-Kiat Lim Jan 2024

Strategic Diplomacy: The Singapore Case, Country Report For The Project On ‘Strategic Diplomacy For 21st Century Defence And Statecraft’, Evelyn Goh, Wee-Kiat Lim

CCX Research

How does Singapore conduct strategic diplomacy despite being a small and constrained state? This report first identifies the major long-term drivers affecting Singapore’s security, both at the domestic level (rapidly ageing population, immigrant assimilation, and growing societal fault-lines) and at the international or systemic level (changing global order, power of technology, slow collective action on climate change). Then it analyses how Singapore strategists deal with two of their most prominent problem-sets: (i) positioning Singapore in relation to the US-China rivalry and the changing international order; and (ii) tackling climate change as a collective action problem. Both problem-sets illustrate how Singapore …

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Impact Of A Covid-19 Related Lockdown On The Experience Of Informal Caregiving In Singapore, Vicky Mengqi Qin, Abhijit Visaria, Rahul Malhotra Jan 2024

Impact Of A Covid-19 Related Lockdown On The Experience Of Informal Caregiving In Singapore, Vicky Mengqi Qin, Abhijit Visaria, Rahul Malhotra

ROSA Journal Articles and Publications

Introduction: Lockdowns, while limiting COVID-19 transmission, can affect provision of care by informal caregivers and their caregiving experience. We assessed, among informal caregivers in Singapore, (a) the perceived impact of a 2-month (April to May 2020) nationwide lockdown on their care provision, (b) correlates of different perceptions of the impact of the lockdown on care provision, and (c) association of different perceptions of the impact with negative and positive experiences of caregiving. Methods: In the August 2020 wave of the Singapore Life Panel (SLP; nationally representative, longitudinal monthly survey of Singapore citizens and permanent residents aged 50-70 years at baseline), …

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Politics Speak Louder Than Skills: Political Similarity Effects In Hireability Judgments In Multiparty Contexts And The Role Of Political Interest, Franz W. Moenke, Filip Lievens, Ursula Hess, Philipp Schaepers Jan 2024

Politics Speak Louder Than Skills: Political Similarity Effects In Hireability Judgments In Multiparty Contexts And The Role Of Political Interest, Franz W. Moenke, Filip Lievens, Ursula Hess, Philipp Schaepers

Research Collection Lee Kong Chian School Of Business

Recruiters increasingly cybervet job applicants by checking their social media profiles. Theory (i.e., the political affiliation model, PAM) and research show that during cybervetting, recruiters are exposed to job-unrelated information such as political affiliation, which might trigger similarity-attraction effects and bias hireability judgments. However, as the PAM was developed in a more polarized two-party political system, it is pivotal to test and refine the PAM in a multiparty context. Therefore, we asked working professionals from the United States (two-party context, N = 266) and Germany (multiparty context, N = 747) to rate an applicant’s hireability after cybervetting a LinkedIn profile …

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Ai Fairness In Action: A Human-Computer Perspective On Ai Fairness In Organizations And Society, David De Cremer, Jack Mcguire, Jack Mcguire Jan 2024

Ai Fairness In Action: A Human-Computer Perspective On Ai Fairness In Organizations And Society, David De Cremer, Jack Mcguire, Jack Mcguire

Research Collection Lee Kong Chian School Of Business

Artificial intelligence (AI) systems are being increasingly adopted by society, governments, and organizations in various decision-making contexts. For example, organizations use AI systems to decide whether applicants can be considered for a job, whether bonuses and other rewards should be allocated, or whether promotions and further training need to be invested in. In fact, as AI is seen as an important catalyst of economic growth, organizations today seem to know no boundaries in their AI adoption efforts, making employees and society more dependent on and thus also more vulnerable to the decisions made by or in partnership with AI (De …

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Predicting Viral Rumors And Vulnerable Users With Graph-Based Neural Multi-Task Learning For Infodemic Surveillance, Xuan Zhang, Wei Gao Jan 2024

Predicting Viral Rumors And Vulnerable Users With Graph-Based Neural Multi-Task Learning For Infodemic Surveillance, Xuan Zhang, Wei Gao

Research Collection School Of Computing and Information Systems

In the age of the infodemic, it is crucial to have tools for effectively monitoring the spread of rampant rumors that can quickly go viral, as well as identifying vulnerable users who may be more susceptible to spreading such misinformation. This proactive approach allows for timely preventive measures to be taken, mitigating the negative impact of false information on society. We propose a novel approach to predict viral rumors and vulnerable users using a unified graph neural network model. We pre-train network-based user embeddings and leverage a cross-attention mechanism between users and posts, together with a community-enhanced vulnerability propagation (CVP) …

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Quantifying The Competitiveness Of A Dataset In Relation To General Preferences, Kyriakos Mouratidis, Keming Li, Bo Tang Jan 2024

Quantifying The Competitiveness Of A Dataset In Relation To General Preferences, Kyriakos Mouratidis, Keming Li, Bo Tang

Research Collection School Of Computing and Information Systems

Typically, a specific market (e.g., of hotels, restaurants, laptops, etc.) is represented as a multi-attribute dataset of the available products. The topic of identifying and shortlisting the products of most interest to a user has been well-explored. In contrast, in this work we focus on the dataset, and aim to assess its competitiveness with regard to different possible preferences. We define measures of competitiveness, and represent them in the form of a heat-map in the domain of preferences. Our work finds application in market analysis and in business development. These applications are further enhanced when the competitiveness heat-map is used …

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Efficient Privacy-Preserving Spatial Data Query In Cloud Computing, Yinbin Miao, Yutao Yang, Xinghua Li, Linfeng Wei, Zhiquan Liu, Robert H. Deng Jan 2024

Efficient Privacy-Preserving Spatial Data Query In Cloud Computing, Yinbin Miao, Yutao Yang, Xinghua Li, Linfeng Wei, Zhiquan Liu, Robert H. Deng

Research Collection School Of Computing and Information Systems

With the rapid development of geographic location technology and the explosive growth of data, a large amount of spatial data is outsourced to the cloud server for reducing the local high storage and computing burdens, but at the same time causes security issues. Thus, extensive privacy-preserving spatial data query schemes have been proposed. Most of the existing schemes use Asymmetric Scalar-Product-Preserving Encryption (ASPE) to encrypt data, but ASPE has proven to be insecure against known plaintext attack. And the existing schemes require users to provide more information about query range and thus generate a large amount of ciphertexts, which causes …

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Conversational Localization: Indoor Human Localization Through Intelligent Conversation, Sheshadri Smitha, Kotaro Hara Jan 2024

Conversational Localization: Indoor Human Localization Through Intelligent Conversation, Sheshadri Smitha, Kotaro Hara

Research Collection School Of Computing and Information Systems

We propose a novel sensorless approach to indoor localization by leveraging natural language conversations with users, which we call conversational localization. To show the feasibility of conversational localization, we develop a proof-of-concept system that guides users to describe their surroundings in a chat and estimates their position based on the information they provide. We devised a modular architecture for our system with four modules. First, we construct an entity database with available image-based floor maps. Second, we enable the dynamic identification and scoring of information provided by users through our utterance processing module. Then, we implement a conversational agent that …

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Conceptthread: Visualizing Threaded Concepts In Mooc Videos, Zhiguang Zhou, Li Ye, Lihong Cai, Lei Wang, Yigang Wang, Yongheng Wang, Wei Chen, Yong Wang Jan 2024

Conceptthread: Visualizing Threaded Concepts In Mooc Videos, Zhiguang Zhou, Li Ye, Lihong Cai, Lei Wang, Yigang Wang, Yongheng Wang, Wei Chen, Yong Wang

Research Collection School Of Computing and Information Systems

Massive Open Online Courses (MOOCs) platforms are becoming increasingly popular in recent years. Online learners need to watch the whole course video on MOOC platforms to learn the underlying new knowledge, which is often tedious and time-consuming due to the lack of a quick overview of the covered knowledge and their structures. In this paper, we propose ConceptThread , a visual analytics approach to effectively show the concepts and the relations among them to facilitate effective online learning. Specifically, given that the majority of MOOC videos contain slides, we first leverage video processing and speech analysis techniques, including shot recognition, …

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The Economic Value Of Blockchain Applications: Early Evidence From Asset-Backed Securities, Xia Chen, Qiang Cheng, Ting Luo Jan 2024

The Economic Value Of Blockchain Applications: Early Evidence From Asset-Backed Securities, Xia Chen, Qiang Cheng, Ting Luo

Research Collection School Of Accountancy

In this paper, we evaluate the economic value of a blockchain application. In the context of asset-backed securities (ABS) issuance in China, where some ABS are issued with blockchain technology and others are not, we find that the use of blockchain significantly reduces the coupon yield at issuance. Compared with other ABS, those issued using blockchain technology experience a decrease of 31.4 basis points in the yield spread, which corresponds to a relative decrease of 13%. We further document that the effect of blockchain is more pronounced for ABS deals rated by less reputable credit rating agencies and agencies that …

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Common Ownership And Analyst Forecasts, Qiang Cheng, Shuqing Luo, Jinping Zhang Jan 2024

Common Ownership And Analyst Forecasts, Qiang Cheng, Shuqing Luo, Jinping Zhang

Research Collection School Of Accountancy

We examine the effect of the common ownership relation between brokerage houses and the firms covered by their analysts (referred to as co-owned brokerage houses, co-owned firms, and connected analysts, respectively) on analyst forecast performance. Common ownership can help the connected analysts have better access to co-owned firms, leading to higher-quality analyst research. However, common owners have incentives for higher valuation of the co-owned firms and thus can exert pressure on the connected analysts to issue optimistically biased research reports for these firms. We find that common ownership improves analyst forecast accuracy. This result is robust to a difference-in-differences design …

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Tracking People Across Ultra Populated Indoor Spaces By Matching Unreliable Wi-Fi Signals With Disconnected Video Feeds, Quang Hai Truong, Dheryta Jaisinghani, Shubham Jain, Arunesh Sinha, Jeong Gil Ko, Rajesh Krishna Balan Jan 2024

Tracking People Across Ultra Populated Indoor Spaces By Matching Unreliable Wi-Fi Signals With Disconnected Video Feeds, Quang Hai Truong, Dheryta Jaisinghani, Shubham Jain, Arunesh Sinha, Jeong Gil Ko, Rajesh Krishna Balan

Research Collection School Of Computing and Information Systems

Tracking in dense indoor environments where several thousands of people move around is an extremely challenging problem. In this paper, we present a system — DenseTrack for tracking people in such environments. DenseTrack leverages data from the sensing modalities that are already present in these environments — Wi-Fi (from enterprise network deployments) and Video (from surveillance cameras). We combine Wi-Fi information with video data to overcome the individual errors induced by these modalities. More precisely, the locations derived from video are used to overcome the localization errors inherent in using Wi-Fi signals where precise Wi-Fi MAC IDs are used to …

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The Wto Of The Future: Keeping The Wto Digitally Relevant Through The Jsi On E-Commerce, Qiu Xu Liao Jan 2024

The Wto Of The Future: Keeping The Wto Digitally Relevant Through The Jsi On E-Commerce, Qiu Xu Liao

Research Collection Yong Pung How School Of Law

Members of the WTO have long regarded e-commerce as an issue of lesser priority. Though seeking to tackle e-commerce issues since 1998 with a Work Programme, progress on enacting WTO law on the matter has remained largely stagnant. To combat two decades of relative inaction, the Joint Statement Initiative on e-commerce was introduced in 2017. Now, within a decade, the JSI has drafted and released a finalised agreement which is now looked towards being integrated into the WTO legal framework. This article explores the history of the JSI, why it has been successful, and how it has overcome previous indifference …

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Soci+: An Enhanced Toolkit For Secure Outsourced Computation On Integers, Bowen Zhao, Weiquan Deng, Xiaoguo Li, Ximeng Liu, Qingqi Pei, Robert H. Deng Jan 2024

Soci+: An Enhanced Toolkit For Secure Outsourced Computation On Integers, Bowen Zhao, Weiquan Deng, Xiaoguo Li, Ximeng Liu, Qingqi Pei, Robert H. Deng

Research Collection School Of Computing and Information Systems

Secure outsourced computation is critical for cloud computing to safeguard data confidentiality and ensure data usability. Recently, secure outsourced computation schemes following a twin-server architecture based on partially homomorphic cryptosystems have received increasing attention. The Secure Outsourced Computation on Integers (SOCI) [1] toolkit is the state-of-the-art among these schemes which can perform secure computation on integers without requiring the costly bootstrapping operation as in fully homomorphic encryption; however, SOCI suffers from relatively large computation and communication overhead. In this paper, we propose SOCI+ which significantly improves the performance of SOCI. Specifically, SOCI+ employs a novel (2,2)-threshold Paillier cryptosystem with fast …

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A Unified Framework For Contextual And Factoid Question Generation, Chenhe Dong, Ying Shen, Shiyang Lin, Zhenzhou Lin, Yang Deng Jan 2024

A Unified Framework For Contextual And Factoid Question Generation, Chenhe Dong, Ying Shen, Shiyang Lin, Zhenzhou Lin, Yang Deng

Research Collection School Of Computing and Information Systems

Question generation (QG) aims to automatically generate fluent and relevant questions, where the two most mainstream directions are generating questions from unstructured contextual texts (CQG), such as news articles, and generating questions from structured factoid texts (FQG), such as knowledge graphs or tables. Existing methods for these two tasks mainly face challenges of limited internal structural information as well as scarce background information, while these two tasks can benefit each other for alleviating these issues. For example, when meeting the entity mention “United Kingdom” in CQG, it can be inferred that it is a country in European continent based on …

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Demonstrating Canvas-Based Processing Of Multiple Camera Streams At The Edge, Ila Gokarn, Hemanth Sabbella, Yigong Hu, Tarek Abdelzaher, Archan Misra Jan 2024

Demonstrating Canvas-Based Processing Of Multiple Camera Streams At The Edge, Ila Gokarn, Hemanth Sabbella, Yigong Hu, Tarek Abdelzaher, Archan Misra

Research Collection School Of Computing and Information Systems

We demonstrate criticality-aware canvas-based processing of multiple concurrent camera streams at the resource constrained edge to show substantial improvement in the accuracy-throughput trade-off. The proposed system focuses the available computation resources on select Regions of Interest (RoI) across all the camera streams by (i) extracting RoI from the input camera stream (ii) 2D bin packing the RoI on a canvas frame and (iii) batching and inferring upon these constructed composite canvas frames with a YOLOv5 object detection model. Our experiments show that such canvas-based processing can (i) sustain real-time processing throughput of 23 FPS per camera across 6 concurrent input …

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Educational Technologies And Assessment Practices: Evolution And Emerging Research Gaps, Lim Ming Soon Tristan, Gottipati Swapna, Michelle L. F. Cheong Jan 2024

Educational Technologies And Assessment Practices: Evolution And Emerging Research Gaps, Lim Ming Soon Tristan, Gottipati Swapna, Michelle L. F. Cheong

Research Collection School Of Computing and Information Systems

This chapter examines the integration and trajectory of ubiquitous, adaptive, and immersive technologies in educational assessments, based upon qualitative predictions from Horizon Report and quantitative bibliometric analysis. Through network analysis, the authors identified key educational technological trends and their interconnectedness within the academic domain. These findings underscored the ascendance of adaptive assessments for personalized real-time feedback, the role of virtual immersive assessments adding layers of complexity, variability, and adaptability that a physical environment might not offer, and the pervasive reach of ubiquitous assessments in crafting contextually anchored evaluations. Grounded in pedagogical underpinnings, the chapter presents pressing research gaps, theoretical and …

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Societal Impacts Of Artificial Intelligence: Ethics, Legal, And Governance Issues, Yuzhou Qian, Keng Siau, Fiona Fui-Hoon Nah Jan 2024

Societal Impacts Of Artificial Intelligence: Ethics, Legal, And Governance Issues, Yuzhou Qian, Keng Siau, Fiona Fui-Hoon Nah

Research Collection School Of Computing and Information Systems

Artificial intelligence (AI) is quickly changing the way we work and the way we live. The emergence of ChatGPT has thrust AI, especially Generative AI, into the spotlight. The societal impact of AI is on most people's minds. This article presents several research projects on how AI impacts work and society. Three research works are discussed in this article. The first study develops a theoretical framework structuring the legal and ethical objectives that are needed and the means to achieve them. The second study concentrates on bias and discrimination issues embedded in AI applications. It focuses on enhancing the collaboration …

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Big Code Search: A Bibliography, Kisub Kim, Sankalp Ghatpande, Dongsun Kim, Xin Zhou, Kui Liu, Tegawende F. Bissyande, Jacques Klein, Traon Yves Le Jan 2024

Big Code Search: A Bibliography, Kisub Kim, Sankalp Ghatpande, Dongsun Kim, Xin Zhou, Kui Liu, Tegawende F. Bissyande, Jacques Klein, Traon Yves Le

Research Collection School Of Computing and Information Systems

Code search is an essential task in software development. Developers often search the internet and other code databases for necessary source code snippets to ease the development efforts. Code search techniques also help learn programming as novice programmers or students can quickly retrieve (hopefully good) examples already used in actual software projects. Given the recurrence of the code search activity in software development, there is an increasing interest in the research community. To improve the code search experience, the research community suggests many code search tools and techniques. These tools and techniques leverage several different ideas and claim a better …

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Clearspeech: Improving Voice Quality Of Earbuds Using Both In-Ear And Out-Ear Microphones, Dong Ma, Ting Dang, Ming Ding, Rajesh Krishna Balan Jan 2024

Clearspeech: Improving Voice Quality Of Earbuds Using Both In-Ear And Out-Ear Microphones, Dong Ma, Ting Dang, Ming Ding, Rajesh Krishna Balan

Research Collection School Of Computing and Information Systems

Wireless earbuds have been gaining increasing popularity and using them to make phone calls or issue voice commands requires the earbud microphones to pick up human speech. When the speaker is in a noisy environment, speech quality degrades significantly and requires speech enhancement (SE). In this paper, we present ClearSpeech, a novel deep-learningbased SE system designed for wireless earbuds. Specifically, by jointly using the earbud’s in-ear and out-ear microphones, we devised a suite of techniques to effectively fuse the two signals and enhance the magnitude and phase of the speech spectrogram. We built an earbud prototype to evaluate ClearSpeech under …

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Hardware-Assisted Live Kernel Function Updating On Intel Platforms, Lei Zhou, Fengwei Zhang, Kevin Leach, Xuhua Ding, Zhenyu Ning, Guojun Wang, Jidong Xiao Jan 2024

Hardware-Assisted Live Kernel Function Updating On Intel Platforms, Lei Zhou, Fengwei Zhang, Kevin Leach, Xuhua Ding, Zhenyu Ning, Guojun Wang, Jidong Xiao

Research Collection School Of Computing and Information Systems

Traditional kernel updates such as perfective maintenance and vulnerability patching requires shutting the system down, disrupting continuous execution of applications. Enterprises and researchers have proposed various live updating techniques to patch the kernel with lower downtime to reduce the loss of useful uptime. However, existing kernel live update techniques either rely on specific support from the target OS, or are deployed in virtualized environments (i.e., systems running in virtual machines). In this article we present KShot , a hardware-assisted live and secure kernel function update mechanism for native operating systems. By leveraging x86 SMM and Intel SGX, KShot runs in …

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Effects Of Mindfulness And Emotion Regulation On Aesthetics: A Theoretical Model From Hedonic Perspective Of Processing Fluency, Geng-Bao Lin, Fiona Fui-Hoon Nah, Choon Ling Sia Jan 2024

Effects Of Mindfulness And Emotion Regulation On Aesthetics: A Theoretical Model From Hedonic Perspective Of Processing Fluency, Geng-Bao Lin, Fiona Fui-Hoon Nah, Choon Ling Sia

Research Collection School Of Computing and Information Systems

Research has shown that processing fluency positively impacts perceived aesthetics, with pleasure mediating the relationship. Considering the important role of pleasure, we propose studying the role of emotion regulation in moderating the mediated relationship from processing fluency to perceived aesthetics. Based on our hypotheses, individuals’ emotion regulation strategies are expected to have moderating effects on the relationship between processing fluency and perceived aesthetics such that cognitive reappraisal positively moderates the relationship from processing fluency to pleasure, and expressive suppression negatively moderates the relationship from pleasure to perceived aesthetics. Trait mindfulness is also expected to influence perceived aesthetics through emotion regulation …

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Continual Learning, Fast And Slow, Quang Anh Pham, Chenghao Liu, Steven C. H. Hoi Jan 2024

Continual Learning, Fast And Slow, Quang Anh Pham, Chenghao Liu, Steven C. H. Hoi

Research Collection School Of Computing and Information Systems

According to the Complementary Learning Systems (CLS) theory (McClelland et al. 1995) in neuroscience, humans do effective continual learning through two complementary systems: a fast learning system centered on the hippocampus for rapid learning of the specifics, individual experiences; and a slow learning system located in the neocortex for the gradual acquisition of structured knowledge about the environment. Motivated by this theory, we propose DualNets (for Dual Networks), a general continual learning framework comprising a fast learning system for supervised learning of pattern-separated representation from specific tasks and a slow learning system for representation learning of task-agnostic general representation via …

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