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Emulating Empire: Washington’S Preoccupation With British Counterinsurgency In Malaya And U.S. Commitment To Vietnam, Wen-Qing Ngoei Jun 2025

Emulating Empire: Washington’S Preoccupation With British Counterinsurgency In Malaya And U.S. Commitment To Vietnam, Wen-Qing Ngoei

Research Collection College of Integrative Studies

This essay examines how Washington’s deep preoccupation with the British-Malayan counterinsurgency tactics–tactics that routed the guerilla fighters of the Malayan Communist Party–shaped US commitment to Vietnam. This US preoccupation, stoked by Britain’s (and Malaya’s) promotion of their counterinsurgency knowledge to US leaders, also influenced the lessons that US analysts and thinkers absorbed from the United States’ defeat in Indochina. Most studies of British-Malayan counterinsurgency and its connection to the Vietnam War fixate upon debating the relevance of the former to the latter and how this bears on US failures in Indochina. However, this essay focuses on the understudied fervor with …

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Awareness, Knowledge, And Motivations About Lifespan, Healthspan, And Healthy Longevity Medicine In The General Population: The Healthy Longevity (Helo) Conceptual Framework, Belinda Wang, Anna Szucs, Elena Sandalova, E. J. Horberg, Paul A. O'Keefe, Louis Island, Hans J. Meij, Sonny Rosenthal, Andrea B. Maier Jun 2025

Awareness, Knowledge, And Motivations About Lifespan, Healthspan, And Healthy Longevity Medicine In The General Population: The Healthy Longevity (Helo) Conceptual Framework, Belinda Wang, Anna Szucs, Elena Sandalova, E. J. Horberg, Paul A. O'Keefe, Louis Island, Hans J. Meij, Sonny Rosenthal, Andrea B. Maier

Research Collection College of Integrative Studies

The global population is ageing and the gap between lifespan (total years lived) and healthspan (years lived free of diseases) is increasing. Healthy Longevity Medicine (HLM) is an approach to optimise health and healthspan, and it has substantial public health implications. Despite those implications, the understanding of public perspectives on this field is lacking. The HEalthy LOngevity (HELO) framework was developed through a literature review guided by expert discussions across disciplines to include evidence-based concepts of health-related decision-making, ageing, and HLM. The framework organises concepts into three components. The first two components, awareness and knowledge, explore public perception and understanding …

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A Summoned Life: Vocation In The Analects, Teng-Kuan Ng Jun 2025

A Summoned Life: Vocation In The Analects, Teng-Kuan Ng

Research Collection College of Integrative Studies

This article explores the concept of vocation in the Analects. While most treatmentsof vocation focus on the Christian tradition, and while Confucian thought is oftenviewed as categorically nontheistic, Robert Merrihew Adams’s Finite and InfiniteGoods (1999) presents an illuminating comparative framework for tracing outKongzi’s religious ethical vision of how persons think, act, and feel when graspedby a sense of divine calling. I argue that in the Analects a vocation is compositelyconceived as: (1) a special divine imperative to an individual or a community (2) tolove particular goods within one’s actual circumstances (3) with nonconsequentialist,noncompetitive, and potentially counter-cultural commitment (4) such that …

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Built Environment And Public Electric Vehicle Charging: An Investigation Using Poi Data And Computer Vision, Junfeng Jiao, Seung Jun Choi Jun 2025

Built Environment And Public Electric Vehicle Charging: An Investigation Using Poi Data And Computer Vision, Junfeng Jiao, Seung Jun Choi

Research Collection College of Integrative Studies

Public electric vehicle charging stations (EVCSs) are vital for boosting EV adoption. This study investigates Seoul’s public EV charging patterns, taking into account the surrounding urban built environment. We collected built-environment data from land-use maps, Point of Interest (POI) data, and panorama images near public EVCS. The computer-vision technique was used to extract scene features from panorama images. We conducted a spatiotemporal analysis of public EVCS usage. The built-environment factors underwent dimensionality reduction and were assessed for outliers. Descriptive analysis revealed afternoon peak charging times and variations between chargers. Additional peaks are observed in the weekday late evening for chargers …

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Assessing Equity In Heat Mitigation Ecosystem Services Of Urban Green Space In Singapore, Ronghua Xu, Perrine Hamel, Youu Ming, Aikeen Lim, Tingting He Jun 2025

Assessing Equity In Heat Mitigation Ecosystem Services Of Urban Green Space In Singapore, Ronghua Xu, Perrine Hamel, Youu Ming, Aikeen Lim, Tingting He

Research Collection College of Integrative Studies

Urban green space provides ecosystem services such as heat mitigation, which are associated with improved resident health and welfare. While estimating the disparity in ecosystem services is essential to improve equity, little guidance is available as to which indices and indicators should be used. Here, we assess the distributional equity in heat mitigation benefits as measured by two indicators – land surface temperature reduction and wet-bulb temperature reduction – in the city-state of Singapore, and compare three inequality indices: Gini coefficient (GC), Atkinson index (AI), and Theil entropy index (TE). We include scenarios with and without migrant construction workers to …

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Techno-Geopolitics And Semi-Conductor Chokepoints: Beyond The Us-China Wto Dispute, Han-Wei Liu, Ching-Fu Lin Jun 2025

Techno-Geopolitics And Semi-Conductor Chokepoints: Beyond The Us-China Wto Dispute, Han-Wei Liu, Ching-Fu Lin

Research Collection Yong Pung How School Of Law

Much ink has been spilled on the US-China tech and trade war, particularly the role of US export controls in containing China and preserving America’s tech dominance. Less attention, however, has been paid to other critical nodes in the global semiconductor supply chain – Taiwan, South Korea, Japan, and the Netherlands – which we coin as ‘chokepoint economies’. Taiwan alone produces over 90% of the world’s most advanced chips, vital to the digital age and the future of AI in the Indo-Pacific and beyond. Using Taiwan as a case study, this paper shows how chokepoint economies navigate competing pressures amid …

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Chatgpt’S Performance Evaluation In Spreadsheets Modeling To Inform Assessments Redesign, Michelle L. F. Cheong Jun 2025

Chatgpt’S Performance Evaluation In Spreadsheets Modeling To Inform Assessments Redesign, Michelle L. F. Cheong

Research Collection School Of Computing and Information Systems

Background: Increasingly, students are using ChatGPT to assist them in learning and even completing their assessments, raising concerns of academic integrity and loss of critical thinking skills. Many articles suggested educators to redesign assessments which are more “Generative-AI-resistant” and to focus on assessing students on higher order thinking skills. However, there is a lack of articles that attempt to quantify assessments at different cognitive levels to provide empirical study insights on ChatGPT’s performance at different levels, which will affect how educators redesign their assessments.Objectives: Educators need new information on how well ChatGPT performs to redesign future assessments to assess their …

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Unsupervised Recognition Of Unknown Objects For Open-World Object Detection, Ruohuan Fang, Guansong Pang, Wenjun Miao, Xiao Bai, Jin Zheng, Xin Ning Jun 2025

Unsupervised Recognition Of Unknown Objects For Open-World Object Detection, Ruohuan Fang, Guansong Pang, Wenjun Miao, Xiao Bai, Jin Zheng, Xin Ning

Research Collection School Of Computing and Information Systems

Open-world object detection (OWOD) extends object detection problem to a realistic and dynamic scenario, where a detection model is required to be capable of detecting both known and unknown objects and incrementally learning newly introduced knowledge. Current OWOD models detect the unknowns that exhibit similar features to the known objects, but they suffer from a severe label bias problem, i.e., they tend to detect all regions (including unknown object regions) that are dissimilar to the known objects as part of the background. To eliminate the label bias, this article proposes a novel module, namely reconstruction error-based Weibull (REW) model, that …

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Large Language Model For Vulnerability Detection And Repair: Literature Review And The Road Ahead, Xin Zhou, Sicong Cao, Xiaobing Sun, David Lo Jun 2025

Large Language Model For Vulnerability Detection And Repair: Literature Review And The Road Ahead, Xin Zhou, Sicong Cao, Xiaobing Sun, David Lo

Research Collection School Of Computing and Information Systems

The significant advancements in Large Language Models (LLMs) have resulted in their widespread adoption across various tasks within Software Engineering (SE), including vulnerability detection and repair. Numerous studies have investigated the application of LLMs to enhance vulnerability detection and repair tasks. Despite the increasing research interest, there is currently no existing survey that focuses on the utilization of LLMs for vulnerability detection and repair. In this paper, we aim to bridge this gap by offering a systematic literature review of approaches aimed at improving vulnerability detection and repair through the utilization of LLMs. The review encompasses research work from leading …

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Hvi: A New Color Space For Low-Light Image Enhancement, Qingsen Yan, Yixu Feng, Cheng Zhang, Guansong Pang, Kangbiao Shi, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang Jun 2025

Hvi: A New Color Space For Low-Light Image Enhancement, Qingsen Yan, Yixu Feng, Cheng Zhang, Guansong Pang, Kangbiao Shi, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang

Research Collection School Of Computing and Information Systems

Low-Light Image Enhancement (LLIE) is a crucial computer vision task that aims to restore detailed visual information from corrupted low-light images. Many existing LLIE methods are based on standard RGB (sRGB) space, which often produce color bias and brightness artifacts due to inherent high color sensitivity in sRGB. While converting the images using Hue, Saturation and Value (HSV) color space helps resolve the brightness issue, it introduces significant red and black noise artifacts. To address this issue, we propose a new color space for LLIE, namely Horizontal/Vertical-Intensity (HVI), defined by polarized HS maps and learnable inten sity. The former enforces …

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Why Does My Transaction Fail? A First Look At Failed Transactions On The Solana Blockchain, Xiaoye Zheng, Zhiyuan Wan, David Lo, Difan Xie, Xiaohu Yang Jun 2025

Why Does My Transaction Fail? A First Look At Failed Transactions On The Solana Blockchain, Xiaoye Zheng, Zhiyuan Wan, David Lo, Difan Xie, Xiaohu Yang

Research Collection School Of Computing and Information Systems

Solana is an emerging blockchain platform, recognized for its high throughput and low transaction costs, positioning it as a preferred infrastructure for Decentralized Finance (DeFi), Non-Fungible Tokens (NFTs), and other Web 3.0 applications. In the Solana ecosystem, transaction initiators submit various instructions to interact with a diverse range of Solana smart contracts, among which are decentralized exchanges (DEXs) that utilize automated market makers (AMMs), allowing users to trade cryptocurrencies directly on the blockchain without the need for intermediaries. Despite the high throughput and low transaction costs of Solana, the advantages have exposed Solana to bot spamming for financial exploitation, resulting …

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Revisiting “Mandatory Mediation: An Oxymoron?” Advancing Access To Civil Justice Through Mandatory Adr, Dorcas Quek Anderson Jun 2025

Revisiting “Mandatory Mediation: An Oxymoron?” Advancing Access To Civil Justice Through Mandatory Adr, Dorcas Quek Anderson

Research Collection Yong Pung How School Of Law

Access to civil justice, a concept integral to the rule of law, has been an enduring concern in many countries. One prominent strategy to enhance access to civil justice entails the use of alternative dispute resolution (ADR) methods prior to court adjudication. In this regard, efforts to embed ADR within the court system have intensified in both England and Wales and Singapore. In Singapore, the parties have a duty to consider ADR prior to and during civil proceedings. More significantly, the courts have been empowered to order parties to attempt ADR. In a similar vein, the English Court of Appeal …

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Understanding Disputes Over Digitalization: A Perspective Of Cross-Border Central Bank Digital Currencies, Heng Wang Jun 2025

Understanding Disputes Over Digitalization: A Perspective Of Cross-Border Central Bank Digital Currencies, Heng Wang

Research Collection Yong Pung How School Of Law

In a rapidly digitalizing world, complex disputes would arise due to the technological, regulatory and other complexities. Public and private actors—including central banks, financial institutions, tech firms, and law firms—need to understand the complexity of these disputes before determining whether and how to engage with ongoing digitalization. Given the fundamental role of currency in the world economy, this article examines central bank digital currency (CBDC) as a pivotal case study. CBDCs, representing the digitalization of central bank money, are a novel digital form of national currency issued by central banks. Various central banks, including those of the Eurozone, Switzerland, the …

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Potential And Pitfalls Of Romantic Artificial Intelligence (Ai) Companions: A Systematic Review, Qi Hui Jerlyn Ho, Meilan Hu, Tracy Xi Chen, Andree Hartanto Jun 2025

Potential And Pitfalls Of Romantic Artificial Intelligence (Ai) Companions: A Systematic Review, Qi Hui Jerlyn Ho, Meilan Hu, Tracy Xi Chen, Andree Hartanto

Research Collection School of Social Sciences

As Artificial Intelligence (AI) becomes more integrated into daily life, individuals have increasingly turned to AIdriven systems for emotional support, companionship, and even romantic relationships. These relationships can be both beneficial and detrimental. Given the need for a comprehensive understanding of this phenomenon, this systematic review uses Sternberg’s Triangular Theory of Love to provide a holistic summary of its key potentials and pitfalls. A total of 23 articles were identified from the following databases: EBSCOhost ERIC, EBSCOhost PsycInfo, PubMed, Scopus, and Web of Science. Results highlighted the key potentials of being in a romantic relationship with AI companions as: the …

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Neuroticism Predicts Constructive Conflict Resolution Styles In Conscientious Individuals: Evidence From Self-Reports And Observer Ratings, Frosch Yi Xuan Quek, Hwajin Yang, Andree Hartanto Jun 2025

Neuroticism Predicts Constructive Conflict Resolution Styles In Conscientious Individuals: Evidence From Self-Reports And Observer Ratings, Frosch Yi Xuan Quek, Hwajin Yang, Andree Hartanto

Research Collection School of Social Sciences

The ability to resolve conflict is crucial for maintaining healthy relationships and psychological well-being. However, prior research has often overlooked the potential benefits of neuroticism for conflict resolution styles, due to a reliance on self-report measures and the lack of consideration of healthy neuroticism. This study examined the relationship between neuroticism and conflict resolution styles and highlights the pivotal role of conscientiousness and measurement modalities. Employing both self-reports and observer ratings of the Conflict Resolution Styles Inventory (CRSI), we analyzed data from young adults (N = 259) using structural equation modeling analysis. Self-reports indicated that neuroticism was associated with unconstructive …

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Advocacy Under Authoritarianism: Civil Society's Impact On Environmental Treaty Ratification In Southeast Asia, Christianna Sirindah Parr Jun 2025

Advocacy Under Authoritarianism: Civil Society's Impact On Environmental Treaty Ratification In Southeast Asia, Christianna Sirindah Parr

Research Collection School of Social Sciences

Does civil society in competitive authoritarian and authoritarian countries impact environmental policy? Specifically, does civil society speed up the ratification of international environmental treaties? Treaty ratification is a crucial step for translating international commitments to domestic politics. I argue that in competitive authoritarian regimes, where civil society operates under constraints but retains some space for advocacy, more robust civil society accelerates the ratification of environmental treaties compared to states with weaker civil society. These regimes often tolerate civil society pressure on non-threatening issues, such as environmental governance, which allows for strategic concessions without undermining state authority. Focusing on Southeast Asia, …

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Peak Policy Lab Or Chasing Windmills? The Overlooked Issue Of Misaligned Policy Design, Adam Wellstead, Sarah Giest, Ishani Mukherjee Jun 2025

Peak Policy Lab Or Chasing Windmills? The Overlooked Issue Of Misaligned Policy Design, Adam Wellstead, Sarah Giest, Ishani Mukherjee

Research Collection School of Social Sciences

Policy innovation labs (PILs) are relatively new policy actors and are part of a larger global “labification” movement. They are touted as spaces for the novel development and testing of policy solutions. PILs have evolved into various forms–including those at different levels of government (central, sub-national, and local), sectoral (such as food, transportation, and environment), and cross-sectoral labs (social innovation and data labs). After a decade, some practitioners lament the effectiveness of their efforts and question if policy labs are indeed engines of innovation and change. We argue that the approach to policy design by PILs, in part, is an …

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Stress Reactivity And Sociocultural Learning: More Stress-Reactive Individuals Are Quicker At Learning Sociocultural Norms From Experiential Feedback, Shilpa Madan, Krishna Savani, Pranjal H. Mehta, Desiree Y. Phua, Ying-Yi Hong, Michael W. Morris Jun 2025

Stress Reactivity And Sociocultural Learning: More Stress-Reactive Individuals Are Quicker At Learning Sociocultural Norms From Experiential Feedback, Shilpa Madan, Krishna Savani, Pranjal H. Mehta, Desiree Y. Phua, Ying-Yi Hong, Michael W. Morris

Research Collection Lee Kong Chian School Of Business

When interacting with others in unfamiliar sociocultural settings, people need to learn the norms guiding appropriate behavior. The present research investigates an individual difference that helps this kind of learning: stress reactivity. Interactions in an unfamiliar sociocultural setting are stressful, particularly when the actor fails to follow its rules. Although stress is typically considered a liability, more stress-reactive individuals may be more motivated to improve, and, thus, quicker to learn these rules. Consistent with this idea, a pilot study found that people genetically inclined to stress reactivity, as computed by a genetic profile score across 59 single nucleotide polymorphisms on …

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Hardiness, Optimism And Hope: Longitudinal Study Of How Individuals May Build Resilience Through Experiential Undergraduate University Courses, Paul Lim, Chin Heng Low, Kevin Koh Jun 2025

Hardiness, Optimism And Hope: Longitudinal Study Of How Individuals May Build Resilience Through Experiential Undergraduate University Courses, Paul Lim, Chin Heng Low, Kevin Koh

Research Collection Lee Kong Chian School Of Business

This study explores the antecedents of students’ resilience in a management education setting, by looking at the role of state hope and dispositional optimism in cultivating their psychological hardiness. While resilience is recognized as integral to personal growth, extant research has predominantly focused on its correlations with psychological capital (PsyCap) elements such as hope and optimism; or examined the outcomes of hardiness as a proxy of resilience. Little has been done to explicate the directional causal relationships among the PsyCap elements and hardiness in view of resilience-building. Using a longitudinal mixed methods design, this study delves into how state hope, …

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Major Customers And Carbon Footprints Along The Supply Chain, Saiying Deng, Tinghua Duan, Frank Weikai Li, Xiaoling Pu Jun 2025

Major Customers And Carbon Footprints Along The Supply Chain, Saiying Deng, Tinghua Duan, Frank Weikai Li, Xiaoling Pu

Research Collection Lee Kong Chian School Of Business

This paper examines whether major corporate customers curb corporate carbon emissions along the supply chain. We show that suppliers with a more concentrated customer base have significantly lower carbon emissions. The results are robust to alternative measures of carbon emissions and customer concentration, alternative sample, alternative explanation, and various approaches to mitigate endogeneity concerns. The effect is more pronounced when major customers have made emission-reduction commitment, when they are exposed to greater climate regulatory shocks and risks, and when they become more concerned about regulatory scrutiny. Moreover, the curbing effect of major customers on supplier carbon emissions is stronger when …

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On Lexicographic Proof Rules For Probabilistic Termination, Krishnendu Chatterjee, Ehsan Kafshdar Goharshady, Petr Novotný, Jiří Zárevucký, Dorde Zikelic Jun 2025

On Lexicographic Proof Rules For Probabilistic Termination, Krishnendu Chatterjee, Ehsan Kafshdar Goharshady, Petr Novotný, Jiří Zárevucký, Dorde Zikelic

Research Collection School Of Computing and Information Systems

We consider the almost-sure (a.s.) termination problem for probabilistic programs, which are a stochastic extension of classical imperative programs. Lexicographic ranking functions provide a sound and practical approach for termination of non-probabilistic programs, and their extension to probabilistic programs is achieved via lexicographic ranking supermartingales (LexRSMs). However, LexRSMs introduced in the previous work have a limitation that impedes their automation: all of their components have to be non-negative in all reachable states. This might result in a LexRSM not existing even for simple terminating programs. Our contributions are twofold. First, we introduce a generalization of LexRSMs that allows for some …

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Building Narratives And Probing Concepts: Preparing Materials For Co-Design With Autistic Livestreamers, Terrance Mok, Tyson Hartley, Anthony Tang, Adam Mccrimmon, Lora Oehlberg Jun 2025

Building Narratives And Probing Concepts: Preparing Materials For Co-Design With Autistic Livestreamers, Terrance Mok, Tyson Hartley, Anthony Tang, Adam Mccrimmon, Lora Oehlberg

Research Collection School Of Computing and Information Systems

Based on ten semi-structured interviews with autistic Twitch streamers, we introduce a series of scenario-based design narratives coupled with technology design concepts as a starting point for co-design discussion about autistic streaming. This work builds on prior thematic analysis of the unique intersection between autism and livestreaming. Our user-centered scenarios highlight the needs, goals, and challenges of autistic individuals in livestreaming contexts. By using evocative narratives, the scenarios serve to facilitate empathy and deeper engagement with the needs of autistic users, and help facilitate and support co-creative dialogues and discussions about new technology designs. We contribute this starting point for …

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Meta-Learning Hyperparameters For Foundation Model Adaptation In Remote-Sensing Imagery, Zichen Tian, Yaoyao Liu, Qianru Sun Jun 2025

Meta-Learning Hyperparameters For Foundation Model Adaptation In Remote-Sensing Imagery, Zichen Tian, Yaoyao Liu, Qianru Sun

Research Collection School Of Computing and Information Systems

Training large foundation models of remote-sensing (RS) images is almost impossible due to the limited and long-tailed data problems. Fine-tuning natural image pre-trained models on RS images is a straightforward solution. To reduce computational costs and improve performance on tail classes, existing methods apply parameter-efficient fine-tuning (PEFT) techniques, such as LoRA and AdaptFormer. However, we observe that fixed hyperparameters -- such as intra-layer positions, layer depth, and scaling factors, can considerably hinder PEFT performance, as fine-tuning on RS images proves highly sensitive to these settings. To address this, we propose MetaPEFT, a method incorporating adaptive scalers that dynamically adjust module …

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On-Demand Heterogeneous Drone Delivery Problem, Xupeng Wen, Zhiguang Cao, Shu Xu, Dapeng Ren, Guohua Wu, Yaoxin Wu Jun 2025

On-Demand Heterogeneous Drone Delivery Problem, Xupeng Wen, Zhiguang Cao, Shu Xu, Dapeng Ren, Guohua Wu, Yaoxin Wu

Research Collection School Of Computing and Information Systems

In the on-demand problem domain, actual demand frequently deviates from the expected demand. This paper intricately delves into the exploration of on-demand heterogeneous multi-drone routing problem (ODHDRP), in which a transport drone carries multiple terminal drones to subregions in the first echelon, and the terminal drones deliver parcels during a flight trip to customers with demands in subregions to maintain economies of scale in the second echelon. We formulate the customer demands using a normal distribution, and exploit a reliability model of customer demands with chance constraints. To solve the ODHDRP efficiently, we propose a hybrid iterative optimisation heuristic (HIOH) …

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Enhancing Vulnerability Detection Via Inter-Procedural Semantic Completion, Bozhi Wu, Chengjie Liu, Zhiming Li, Yushi Cao, Jun Sun, Shang-Wei Lin Jun 2025

Enhancing Vulnerability Detection Via Inter-Procedural Semantic Completion, Bozhi Wu, Chengjie Liu, Zhiming Li, Yushi Cao, Jun Sun, Shang-Wei Lin

Research Collection School Of Computing and Information Systems

Inspired by advances in deep learning, numerous learning-based approaches for vulnerability detection have emerged, primarily operating at the function level for scalability. However, this design choice has a critical limitation: many vulnerabilities span multiple functions, causing function-level approaches to lose the semantics of called functions and fail to capture true vulnerability patterns. To address this issue, we propose VulnSC, a novel framework designed to enhance learning-based approaches by complementing inter-procedural semantics. VulnSC retrieves the source code of called functions for datasets and leverages large language models (LLMs) with well-designed prompts to generate summaries for these functions. The datasets, enhanced with …

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A Comprehensive Study Of Oop-Related Bugs In C++ Compilers, Bo Wang, Chong Chen, Junjie Chen, Bowen Xu, Chen Ye, Youfang Lin, Guoliang Dong, Jun Sun Jun 2025

A Comprehensive Study Of Oop-Related Bugs In C++ Compilers, Bo Wang, Chong Chen, Junjie Chen, Bowen Xu, Chen Ye, Youfang Lin, Guoliang Dong, Jun Sun

Research Collection School Of Computing and Information Systems

Modern C++, a programming language characterized by its extensive use of object-oriented programming (OOP) features, is widely used for system programming. However, C++ compilers often struggle to correctly handle these sophisticated OOP features, resulting in numerous high-profile compiler bugs that can lead to crashes or miscompilation. Despite the significance of OOP-related bugs, existing studies largely overlook OOP features, hindering their ability to discover such bugs. To assist both compiler fuzzer designers and compiler developers, we conduct a comprehensive study of the compiler bugs caused by incorrectly handling C++ OOP-related features. First, we systematically extract 788 OOP-related C++ compiler bugs from …

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Hd-Epic: A Highly-Detailed Egocentric Video Dataset, Toby Perrett, Ahmad Darkhalil, Saptarshi Sinha, Omar Emara, Sam Pollard, Kranti Kumar Parida, Kaiting Liu, Prajwal Gatti, Siddhant Bansal, Kevin Flanagan, Jacob Chalk, Zhifan Zhu, Rhodri Guerrier, Fahd Abdelazim, Bin Zhu, Davide Moltisanti, Michael Wray, Hazel Doughty, Dima Damen Jun 2025

Hd-Epic: A Highly-Detailed Egocentric Video Dataset, Toby Perrett, Ahmad Darkhalil, Saptarshi Sinha, Omar Emara, Sam Pollard, Kranti Kumar Parida, Kaiting Liu, Prajwal Gatti, Siddhant Bansal, Kevin Flanagan, Jacob Chalk, Zhifan Zhu, Rhodri Guerrier, Fahd Abdelazim, Bin Zhu, Davide Moltisanti, Michael Wray, Hazel Doughty, Dima Damen

Research Collection School Of Computing and Information Systems

We present a validation dataset of newly-collected kitchenbased egocentric videos, manually annotated with highly detailed and interconnected ground-truth labels covering: recipe steps, fine-grained actions, ingredients with nutritional values, moving objects, and audio annotations. Importantly, all annotations are grounded in 3D through digital twinning of the scene, fixtures, object locations, and primed with gaze. Footage is collected from unscripted recordings in diverse home environments, making HDEPIC the first dataset collected in-the-wild but with detailed annotations matching those in controlled lab environments. We show the potential of our highly-detailed annotations through a challenging VQA benchmark of 26K questions assessing the capability to …

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Keep The Balance: A Parameter-Efficient Symmetrical Framework For Rgb+X Semantic Segmentation, Jiaxin Cai, Jingze Su, Qi Li, Wenjie Yang, Shu Wang, Tiesong Zhao, Shengfeng He, Wenxi Liu Jun 2025

Keep The Balance: A Parameter-Efficient Symmetrical Framework For Rgb+X Semantic Segmentation, Jiaxin Cai, Jingze Su, Qi Li, Wenjie Yang, Shu Wang, Tiesong Zhao, Shengfeng He, Wenxi Liu

Research Collection School Of Computing and Information Systems

Multimodal semantic segmentation is a critical challenge in computer vision, with early methods suffering from high computational costs and limited transferability due to full fine-tuning of RGB-based pre-trained parameters. Recent studies, while leveraging additional modalities as supplementary prompts to RGB, still predominantly rely on RGB, which restricts the full potential of other modalities. To address these issues, we propose a novel symmetric parameter-efficient fine-tuning framework for multimodal segmentation, featuring with a modality-aware prompting and adaptation scheme, to simultaneously adapt the capabilities of a powerful pre-trained model to both RGB and X modalities. Furthermore, prevalent approaches use the global cross-modality correlations …

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Runtime Backdoor Detection For Federated Learning Via Representational Dissimilarity Analysis, Xiyue Zhang, Xiaoyong Xue, Xiaoning Du, Xiaofei Xie, Yang Liu, Meng Sun Jun 2025

Runtime Backdoor Detection For Federated Learning Via Representational Dissimilarity Analysis, Xiyue Zhang, Xiaoyong Xue, Xiaoning Du, Xiaofei Xie, Yang Liu, Meng Sun

Research Collection School Of Computing and Information Systems

Federated learning (FL), as a powerful learning paradigm, trains a shared model by aggregating model updates from distributed clients. However, the decoupling of model learning from local data makes FL highly vulnerable to backdoor attacks, where a single compromised client can poison the shared model. While recent progress has been made in backdoor detection, existing methods face challenges with detection accuracy and runtime effectiveness, particularly when dealing with complex model architectures. In this work, we propose a novel approach to detecting malicious clients in an accurate, stable, and efficient manner. Our method utilizes a sampling-based network representation method to quantify …

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A Multimodal Fusion Model Leveraging Mlp Mixer And Handcrafted Features-Based Deep Learning Networks For Facial Palsy Detection, Heng Yim Nicole Oo, Min Hun Lee, Jeong Hoon Lim Jun 2025

A Multimodal Fusion Model Leveraging Mlp Mixer And Handcrafted Features-Based Deep Learning Networks For Facial Palsy Detection, Heng Yim Nicole Oo, Min Hun Lee, Jeong Hoon Lim

Research Collection School Of Computing and Information Systems

Algorithmic detection of facial palsy offers the potential to improve current practices, which usually involve labor-intensive and subjective assessments by clinicians. In this paper, we present a multimodal fusion-based deep learning model that utilizes an MLP mixer-based model to process unstructured data (i.e. RGB images or images with facial line segments) and a feed-forward neural network to process structured data (i.e. facial landmark coordinates, features of facial expressions, or handcrafted features) for detecting facial palsy. We then contribute to a study to analyze the effect of different data modalities and the benefits of a multimodal fusion-based approach using videos of …

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