Digital Commons Network^™

Fcad: Feature-Coupled Anisotropic Diffusion For Continuous Graph Learning, Amitoz Azad, Zhiyuan Zhang

Research Collection School Of Computing and Information Systems

In this work, we propose a novel continuous graph neural network called FCAD (Feature-Coupled Anisotropic Diffusion) for the task of node classification on graphs. Our approach is motivated by the success of feature-coupled anisotropic diffusion PDEs in multivalued image restoration. Our method introduces a total variation regularization-inspired anisotropic term to control diffusion between nodes and incorporates a learnable parameterization for feature coupling during the diffusion process. Our model performs competitively against several GNN baselines for both heterophilous and homophilous graphs, demonstrating notable benefits for heterophilous graphs due to the learnable feature coupling.

Art4math: Handwritten Mathematical Expression Recognition Via Multimodal Sketch Grounding, Yang Zhou, Jin Wang, Yuxiao Zhang, Kaixiang Huang, Guodong Lu, Jingru Yang, Shengfeng He

Research Collection School Of Computing and Information Systems

Handwritten Mathematical Expression Recognition (HMER) remains a challenging task due to the structural complexity of mathematical notation and the ambiguity of handwritten symbols-e.g., ''ρ'' vs. ''p'' or ''B'' vs. ''β''. While stroke-based models offer disambiguation via temporal cues, most existing methods are constrained by coarse modality fusion and a lack of fine-grained cross-modal alignment, further hindered by limited annotated data. We introduce Art for Math (Art4Math), a novel framework that leverages the structural richness of human sketches to enhance HMER through fine-grained, modality-aware learning. Art4Math follows a two-stage training paradigm: Art Grounding (A-Grd) and Math Decoding (M-Dec). In A-Grd, the …

Personality And Personnel Selection: Going Beyond Self-Reports And Linear Relationships, Filip Lievens, Jinyan Fan, Jingyi Li

Research Collection Lee Kong Chian School Of Business

The study of personality in selection and assessment represents one of the most longstanding and voluminous literature in industrial and organizational psychology. In this paper, we review two important recent research streams. First, we review studies on alternatives to self-report personality inventories, namely the use of Situational Judgment Tests (SJTs), assessment center (AC) exercises, and a multi-rater framework. Second, we review studies that go beyond linear relationships between personality and job performance. Generally, our review reveals that these alternative approaches show promises in better understanding personality and how personality relates to performance.

Performances In Last-Mile Deliveries Involving Cyclic Services Of Shuttles And Cargo Bikes, Byung Kwon Lee, Young Joo Kim, Joyce M. W. Low

Research Collection Lee Kong Chian School Of Business

This study introduces a novel approximation model that integrates the ideologies of order statistics and max-plus algebra in representing the collection and distribution service schemes of a last-mile delivery system. Under the respective schemes, electric cargo bikes (e-bikes) perform the last-mile delivery near a microhub with shuttles collecting packages from multiple local logistics hubs (or local hubs, for short) and/or distributing packages to multiple microhubs. The framework is designed to estimate the cyclic capacity under varying cargo carrying capacities of the e-bikes and service network configurations. Real-world data, such as the geographic conditions of the streets around the microhubs in …

Risk Premia-Return Spillovers Among Commodity-Us Equity Markets, Marinela Adriana Finta

Sim Kee Boon Institute for Financial Economics

This study examines the risk premia-return spillovers of eight commodities (corn, soybean, wheat, copper, silver, gold, oil, and natural gas) and the U.S. equity market from 2008 to 2016. We define volatility, skewness, and kurtosis risk premia as the difference between implied and realized moments. Our results reveal an increasing trend in cross-market and cross-moment spillovers until mid-2012, with various announcements explaining these effects. Moreover, we document substantial cross-energy and cross-metal spillovers to the equity market and cross-return spillovers to risk premia. Higher-order risk premia also exhibit the highest effects on returns. In addition, we underline the prominent influence of …

Impacts Of U.S. Environmental Regulations On Industry, Xiao Ji, Mengyu Wang, Tianyi Zhang

Sim Kee Boon Institute for Financial Economics

This paper analyzes the impacts of U.S. environmental regulations on industry, focusing on command-and-control environmental regulations (CCER) and market-based environmental regulations (MBER). Drawing on empirical data from the Environmental Protection Agency (EPA) spanning over four decades, we examine key legislation such as the Clean Water Act (CWA), Clean Air Act (CAA), and the Resource Conservation and Recovery Act (RCRA), while also discussing more recent frameworks like the Inflation Reduction Act (IRA). Our findings suggest that although penalties under CCER contribute to immediate compliance, they often fail to elicit long-term changes in corporate behavior. In contrast, MBER, exemplified by the IRA, …

A General Test For Functional Inequalities, Jia Li, Zhipeng Liao, Wenyu Zhou

Research Collection School Of Economics

This paper develops a nonparametric test for general functional inequalities that include conditional moment inequalities as a special case. It is shown that the test controls size uniformly over a large class of distributions for observed data, importantly allowing for general forms of time series dependence. New results on uniform growing dimensional Gaussian coupling for general mixingale processes are developed for this purpose, which readily accommodate most applications in economics and finance. The proposed method is applied in a portfolio evaluation context to test for “all-weather” portfolios with uniformly superior conditional Sharpe ratio functions.

Organization Research As An Applied Science: Lessons From Fields That Shape Practice And Policy, Stephen X. Zhang, Gokhan Ertug

Research Collection Lee Kong Chian School Of Business

As an applied science, our field aims to improve organizational effectiveness and solve practical problems (Hideg, DeCelles & Tihanyi, 2020; Pfeffer & Fong. 2002; Pillutla & Thau, 2013). However, despite the increasing sophistication in methods and greater emphasis on theory in recent decades, we have not made commensurate strides in relevance and impact. As we see it, the heart of this challenge is the culture in our field that demands novel theoretical advancement from every paper (Aguinis & Cronin, 2022), which may inadvertently constrain our ability to address pressing organizational challenges. Previous appeals to enhance our impact as an applied …

Foreword, Pey Woan Lee

Singapore Law Journal (Lexicon)

No abstract provided.

Acknowledgements, Ee Ing Ong

Singapore Law Journal (Lexicon)

No abstract provided.

The Law On Deposits In Singapore, Tiong Min Yeo

Singapore Law Journal (Lexicon)

This article traces the development of the law of deposits in Singapore and reviews the restatement of the law in the 2024 landmark decision of the Court of Appeal in Li Jialin v Wingcrown Investments Pte Ltd, as well as some of the issues left open by the decision. It is argued that while the decision has clarified that deposits are not subject to the penalty rule but instead subject to the common law test of reasonableness—with the practical consequence that, with clear drafting, contracting parties can rely on the validity of reasonable deposit clauses without the complication of …

A Settlement By “Any Other Name”: Evaluating The Sustainability Of Settlement Mechanisms, Dorcas Quek Anderson

Singapore Law Journal (Lexicon)

Private settlements have been consistently encouraged by the Singapore civil justice system. Depending on the context, the settlement may take on many forms, including consent orders and settlement agreements. This begs the question of whether the exact form of settlement matters, or whether a settlement “by any other name” suffices. This article proposes the concept of “sustainable settlements” – comprising the measures of ease of enforcement, finality, and confidentiality – to holistically appraise the effectiveness of settlement mechanisms. The assessment of six settlement mechanisms using these measures clearly indicates that not every mechanism is equally sustainable. Exploring settlement amidst the …

Where Singapore Meets Asean: Shaping Insolvency Reform For Micro And Small Enterprises, Lovein Leying Sui

Singapore Law Journal (Lexicon)

Given the economic dependence on micro and small enterprises (MSEs) in the ASEAN region, the MSE insolvency regime is of paramount regional importance. Evidence indicates that the ASEAN region has prioritised the improvement of such a regime, especially after the financial instability following the COVID-19 pandemic. This paper explores how trends in ASEAN MSE insolvency can inform Singapore’s insolvency reforms to improve MSE access and efficiency, while also considering broader implications for the region.

The Guilty Plea Discount: An Elaboration On Singapore’S Guidelines, Genieve Zhi Yi Wu

Singapore Law Journal (Lexicon)

Over the past two decades, a defining feature of Singapore’s sentencing regime has been the creation of structured sentencing methodology, with the aim of ensuring broad consistency and fairness across offenders. The exercise of judicial discretion in sentencing has largely been guided by statutory frameworks and guideline judgments. However, beyond the legislature and judiciary, an inter-agency body named the Sentencing Advisory Panel has also been formed to issue persuasive but non-binding guidelines. This article focuses on the first set of guidelines issued by the Sentencing Advisory Panel in 2023, concerning the sentencing of accused persons who plead guilty. It explains …

Revisiting Letters Of Credit And The Enforceability Of Sanctions Clauses: Case Comment: Kuvera Resources Pte Ltd V Jpmorgan Chase Bank, N.A., Bing Feng, Keith Law

Singapore Law Journal (Lexicon)

This article is a case commentary on the recent Singapore Court of Appeal decision of Kuvera Resources Pte Ltd v JPMorgan Chase Bank, N.A. [2023] 2 SLR 389. It begins with a brief review of the structure of documentary credit transactions before setting out the judgments by the High Court and Court of Appeal. The commentary then examines how both courts rationalised letters of credit within the traditional framework of unilateral contracts, before scrutinising the current position of sanctions clauses within letters of credit. It disagrees with the Court of Appeal’s hesitance towards accepting such clauses, noting that the unilateral …

1 Front Matter, Smu Lexicon

Singapore Law Journal (Lexicon)

Front matter with cover page, title page, title verso (copyright page) and table of contents.

Detecting Defi Fraud With A Graph-Transformer Language Model, Wei Ma, Junjie Shi, Jiaxi Qiu, Cong Wu, Jing Chen, Lingxiao Jiang, Shangqing Liu, Yang Liu, Yang Xiang

Research Collection School Of Computing and Information Systems

With the rapid development of blockchain technology, the widespread adoption of smart contracts—particularly in decentralized finance (DeFi) applications—has introduced significant security challenges, such as reentrancy attacks, phishing, and Sybil attacks. To address these issues, we propose a novel model called TrxGNNBERT, which combines Graph Neural Network (GNN) and the Transformer architecture to effectively handle both graph-structured and textual data. This combination enhances the detection of suspicious transactions and accounts on blockchain platforms like Ethereum. TrxGNNBERT was pre-trained using a masked language model (MLM) on a dataset of 60,000 Ethereum transactions by randomly masking the attributes of nodes and edges, thereby …

In Crypto We Trust: A Cross-National Comparison Of Factors Affecting Trust In Cryptocurrencies, Arif Perdana, W. Eric Lee, Chu Yeong Lim, Gary Pan, Poh Sun Seow

Research Collection School Of Accountancy

Background: Trust in cryptocurrencies is a complex and evolving construct influenced by technological, economic, and social factors. Unlike traditional information systems that rely on institutional trust, cryptocurrency users often depend on underlying technology and community insights. Despite growing interest, existing research has primarily focused on narrow aspects of trust, with limited cross-national perspectives and comprehensive models.

Method: This study investigates how geographic differences impact user trust in cryptocurrencies by surveying 644 respondents from China, Germany, and the USA. Drawing on established trust formation theories, it utilizes a comprehensive model encompassing technological, economic, and social factors.

Results: Our analysis reveals multiple …

How Do Analysts Affect Corporate Innovation? Evidence From Site Visits, Qiang Cheng, Brian Yutao Wang, Holly I. Yang, Zheyuan Zhang

Research Collection School Of Accountancy

While prior studies have examined whether financial analysts affect corporate innovation, there is little research on the mechanism through which this occurs. In this paper, we examine whether and how analysts' questions about innovation during site visits affect corporate innovation. Using a sample of corporate site visits in China, we find that when analysts ask questions about innovation during site visits, firms invest more in R&D in the future. Consistent with knowledge diffusion across firms, this association is stronger when analysts cover more firms in the same industry, when firms share similar technologies as industry peers, and when an innovation-expert …

Firm Digitalization And Accounting Jobs, Amanda Awyong, Qiang Cheng, Tian Deng, Rencheng Wang

Research Collection School Of Accountancy

This study examines how firm digitalization affects the demand for corporate accountants and their digital skills. Using more than 373,000 job posts for corporate accountants by U.S. non-technology firms between 2010 and 2019, we find that firm digitalization does not change the overall demand for financial specialists-accountants who are responsible for financial reporting, budgeting, and forecasting-but reduces the demand for financial clerks-accountants who primarily perform administrative financial tasks. We further show that firms digitalization increases the demand for digital skills among financial specialists, but not among financial clerks, and that such demand is greater than that for other employees within …

Regulatory Impacts On Us Hazardous Waste Exports, Xiaofan Ji, Mengyu Wang, Tianyi Zhang

Sim Kee Boon Institute for Financial Economics

This paper examines the impact of key domestic and international regulations on US hazardous waste exports, focusing on shifts in export destinations and waste types from 2002 to 2023. Since 2005, OECD countries and US Trade Agreement Partners have become primary destinations for US hazardous waste, with significant surges after 2018 and a notable decline in 2022. An analysis of the regulatory landscape reveals that, while international frameworks such as the Basel Convention of 2021 have had a relatively limited impact on reducing US hazardous waste exports, domestic policies—particularly those in California—have more directly influenced export behaviors. Additionally, the US …

The New Framework For Directors’ Duty To Creditors And The Challenges Ahead – Foo Kian Beng V Op3 International Pte Ltd (In Liquidation) [2024] 1 Slr 361, Jonathan Ren Hao Cheong

Singapore Law Journal (Lexicon)

In Foo Kian Beng v OP3 International Pte Ltd (in liquidation) [2024] 1 SLR 361, the Singapore Court of Appeal introduced a two-step, three-category framework for evaluating whether a director has breached his fiduciary duty to consider the interests of creditors. This decision not only affirms the traditional understanding of the duty in other common law jurisdictions but also provides directors with clearer guidance on managing the affairs of the company in times of financial distress. This article builds upon the discussion in Foo Kian Beng by evaluating the new framework established by the SGCA. It also identifies potential challenges …

Reimagining U.S. Tort Law For Deepfake Harms: Comparative Insights From China And Singapore, Huijuan Peng, Pey Woan Lee

Research Collection Yong Pung How School Of Law

This Article explores how U.S. tort law can respond more effectively to the distinct harms posed by deepfakes, including reputational injury, identity appropriation, and emotional distress. Traditional tort doctrines, such as defamation, the right of publicity, and intentional infliction of emotional distress (IIED), remain fragmented and ill-suited to the speed, scale, and anonymity of deepfake dissemination. Using a comparative functionalist approach, the Article analyzes how China and Singapore respond to deepfake harms through structurally divergent but functionally instructive frameworks. China’s model combines codified personality rights with intermediary obligations under a civil law regime, while Singapore adopts a hybrid approach that …

Strengthening The International Competitiveness Of Capital Markets: Global Insights And Local Strategies, Aurelio Gurrea-Martinez

Research Collection Yong Pung How School Of Law

Global capital markets are undergoing a profound transformation. Over the past decade, there has been a marked decline in Initial Public Offerings (IPOs) in most advanced economies, including those with highly developed capital markets such as the United Kingdom and the United States. Interestingly, during the same period, countries like Indonesia, Malaysia, Thailand and particularly China, have witnessed a significant increase in the number of listed companies, contributing to making Asia home to approximately 55% of all listed companies worldwide. The decline in IPO activity has prompted many countries and regions around the world, including the United Kingdom, the United …

Mixsa: Training-Free Reference-Based Sketch Extraction Via Mixture-Of-Self-Attention, Rui Yang, Xiaojun Wu, Shengfeng He

Research Collection School Of Computing and Information Systems

Current sketch extraction methods either require extensive training or fail to capture a wide range of artistic styles, limiting their practical applicability and versatility. We introduce Mixture-of-Self-Attention (MixSA), a training-free sketch extraction method that leverages strong diffusion priors for enhanced sketch perception. At its core, MixSA employs a mixture-of-self-attention technique, which manipulates self-attention layers by substituting the keys and values with those from reference sketches. This allows for the seamless integration of brushstroke elements into initial outline images, offering precise control over texture density and enabling interpolation between styles to create novel, unseen styles. By aligning brushstroke styles with the …

Neuro-Ins: A Learning-Based One-Shot Node Insertion For Dynamic Routing Problems, Zhiqin Zhang, Jingfeng Yang, Zhiguang Cao, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

The rise in instant delivery services necessitates efficient route planning in last-mile delivery scenarios, where new orders arrive dynamically and need to be integrated into existing routes. In such contexts, complete re-optimization of routes are not permitted, and node insertion to existing route sequences is the only viable option. However, many existing heuristics for node insertion, such as the Cheapest Insertion (CI) method, are myopic and often result in suboptimal solutions retrospectively. This paper presents Neuro-Ins, an initial yet novel attempt at harnessing a learning-based framework to handle the insertion of new orders for the Pickup and Delivery Problem (PDP). …

Lighttransfer: Your Long-Context Llm Is Secretly A Hybrid Model With Effortless Adaptation, Xuan Zhang, Fengzhuo Zhang, Cunxiao Du, Chao Du, Tianyu Pang, Wei Gao, Min Lin

Research Collection School Of Computing and Information Systems

Scaling language models to handle longer contexts introduces substantial memory challenges due to the growing cost of key-value (KV) caches. Motivated by the efficiency gains of hybrid models and the broad availability of pretrained large transformer backbones, we explore transitioning transformer models into hybrid architectures for a more efficient generation. In this work, we propose LightTransfer, a lightweight method that transforms models such as LLaMA into hybrid variants. Our approach identifies lazy layers -- those focusing on recent or initial tokens -- and replaces their full attention with streaming attention. This transformation can be performed without any training for long-context …

Gti: Graph-Based Tree Index With Logarithm Updates For Nearest Neighbor Search In High-Dimensional Spaces, Ruoyao Ma, Yifan Zhu, Baihua Zheng, Lu Chen, Congcong Ge, Yunjun Gao

Research Collection School Of Computing and Information Systems

Nearest neighbor search (NNS) is fundamental for high-dimensional space retrieval and impacts various fields, such as pattern recognition, information retrieval, recommendation systems, and vector database management. Among existing NNS methods, graph-based methods often excel in query accuracy and efficiency. However, these methods face significant challenges, including high construction costs and difficulties with dynamic data updates. Recent efforts have focused on combining graph methods with hashing, quantization, and tree-based approaches to address these issues, but problems with large index sizes and update performance remain unresolved. In response, this paper proposes GTI, a novel, lightweight, and dynamic graph-based tree index for high-dimensional …

Deep Graph Anomaly Detection: A Survey And New Perspectives, Hezhe Qiao, Hanghang Tong, Nanyang Technological University, Irwin King, Charu Aggarwal, Guansong Pang

Research Collection School Of Computing and Information Systems

Graph anomaly detection (GAD), which aims to identify unusual graph instances (e.g., nodes, edges, subgraphs, or graphs), has attracted increasing attention in recent years due to its significance in a wide range of applications. Deep learning approaches, graph neural networks (GNNs) in particular, have been emerging as a promising paradigm for GAD, owing to its strong capability in capturing complex structure and/or node attributes in graph data. Considering the large number of methods proposed for GNN-based GAD, it is of paramount importance to summarize the methodologies and findings in the existing GAD studies, so that we can pinpoint effective model …

Merit Transference And The Paradox Of Merit Inflation, Matthew Hammerton

Research Collection School of Social Sciences

Many religious traditions and ethical systems hold that individuals accrue merit through their good intentions, acts, and character, and demerit through their bad intentions, acts, and character. This merit and demerit, accumulated by individuals throughout their lives, gives each person a kind of ethical “score” that can determine what they deserve, and influence whether good or bad things happen to them (e.g., divine punishments and rewards, a favourable or unfavourable rebirth, etc.). In some traditions (most notably Buddhism, but also to a limited extent in Hinduism, Islam, and Christianity), “merit transference” is a feature of these merit-based ethical systems. This …