Digital Commons Network^™

Acccred: Improved Accountable Anonymous Credentials With Dynamic Triple-Hiding Committees, Sijiang Xie, Rui Shi, Yang Yang, Huiqin Xie, Yingjiu Li, Robert H. Deng

Research Collection School Of Computing and Information Systems

Accountable anonymous credentials protect user privacy while holding the accountability of ill-intentioned individuals, which is a critical feature for applications such as online payments and other financial services. Existing accountable anonymous credentials rely on a public committee of trustworthy members who are assumed not to collude and are well protected to perform privacy revocation. However, this assumption is unsound in blockchain-based cryptocurrency systems because the selected committees may involve nodes with significant stakes, and public nodes serving as committee members are vulnerable against targeted attacks from high-computing power adversaries. In this paper, we propose an improved accountable anonymous credential called …

Gamba: Marry Gaussian Splatting With Mamba For Single-View 3d Reconstruction, Qiuhong Shen, Zike Wu, Xuanyu Yi, Pan Zhou, Hanwang Zhang, Shuicheng Yan, Xinchao Wang

Research Collection School Of Computing and Information Systems

We tackle the challenge of efficiently reconstructing a 3D asset from a single image at millisecond speed. Existing methods for single-image 3D reconstruction are primarily based on Score Distillation Sampling (SDS) with Neural 3D representations. Despite promising results, these approaches encounter practical limitations due to lengthy optimizations and significant memory consumption. In this work, we introduce Gamba, an end-to-end 3D reconstruction model from a single-view image, emphasizing two main insights: (1) Efficient Backbone Design: introducing a Mamba-based GambaFormer network to model 3D Gaussian Splatting (3DGS) reconstruction as sequential prediction with linear scalability of token length, thereby accommodating a substantial number …

Building Bridges Across Papua New Guinea’S Digital Divide In Growing The Ict Industry, Marc Cheong, Sankwi Abuzo, Hideaki Hata, Priscilla Kevin, Winifred Kula, Benson Mirou, Christoph Treude, Dong Wang, Raula Gaikovina Kula

Research Collection School Of Computing and Information Systems

Papua New Guinea (PNG) is an emerging tech society with an opportunity to overcome geographic and social boundaries, in order to engage with the global market. However, the current tech landscape, dominated by Big Tech in Silicon Valley and other multinational companies in the Global North, tends to overlook the requirements of emerging economies such as PNG. This is becoming more obvious as issues such as algorithmic bias (in tech product deployments) and the digital divide (as in the case of non-affordable commercial software) are affecting PNG users. The Open Source Software (OSS) movement, based on extant research, is seen …

Rotation-Adaptive Point Cloud Domain Generalization Via Intricate Orientation Learning, Bangzhen Liu, Chenxi Zheng, Xuemiao Xu, Cheng Xu, Huaidong Zhang, Shengfeng He

Research Collection School Of Computing and Information Systems

The vulnerability of 3D point cloud analysis to unpredictable rotations poses an open yet challenging problem: orientation-aware 3D domain generalization. Cross-domain robustness and adaptability of 3D representations are crucial but not easily achieved through rotation augmentation. Motivated by the inherent advantages of intricate orientations in enhancing generalizability, we propose an innovative rotation-adaptive domain generalization framework for 3D point cloud analysis. Our approach aims to alleviate orientational shifts by leveraging intricate samples in an iterative learning process. Specifically, we identify the most challenging rotation for each point cloud and construct an intricate orientation set by optimizing intricate orientations. Subsequently, we employ …

Shipnavisim: Data-Driven Simulation For Real-World Maritime Navigation, Quang Anh Pham, Janaka Chathuranga Brahmanage, Akshat Kumar

Research Collection School Of Computing and Information Systems

Maritime traffic management in busy ports faces growing challenges due to increased vessel traffic and complex waterway interactions. Strategies such as e-navigation by the International Maritime Organization aim to enhance navigation safety through traffic digitization. Maritime traffic simulation is essential for these systems, offering a virtual environment to model, analyze, and optimize traffic flows. Unlike road traffic, there are few simulators for maritime traffic, and they often lack realism and multi-ship interactions. In this paper, we (a) present ShipNaviSim, a data-driven maritime traffic simulator that utilizes a large-scale dataset over 2 years and electronic navigation charts to model vessel movements …

Few-Shot Learning On Graphs: From Meta-Learning To Llm-Empowered Pre-Training And Beyond, Yuan Fang, Yuxia Wu, Xingtong Yu, Shirui Pan

Research Collection School Of Computing and Information Systems

Graph representation learning has become central to many graph-based tasks, driving advancements in various domains such as web search, recommendation systems, and social network analysis. Traditionally, these methods rely on end-to-end supervised learning paradigms that require abundant labeled data, which can be costly and difficult to obtain. To address this limitation, few-shot learning on graphs has emerged as a promising approach, allowing models to generalize with minimal supervision and overcome data scarcity in real-world applications. This tutorial offers an in-depth exploration of recent advancements in few-shot learning for graphs, providing a comparative analysis of state-of-the-art methods and identifying future research …

Worldcuisines: A Massive-Scale Benchmark For Multilingual And Multicultural Visual Question Answering On Global Cuisines, Genta Indra Winata, Et. Al

Research Collection School Of Computing and Information Systems

Vision Language Models (VLMs) often struggle with culture-specific knowledge, particularly in languages other than English and in underrepresented cultural contexts. To evaluate their understanding of such knowledge, we introduce WorldCuisines, a massive-scale benchmark for multilingual and multicultural, visually grounded language understanding. This benchmark includes a visual question answering (VQA) dataset with text-image pairs across 30 languages and dialects, spanning 9 language families and featuring over 1 million data points, making it the largest multicultural VQA benchmark to date. It includes tasks for identifying dish names and their origins. We provide evaluation datasets in two sizes (12k and 60k instances) alongside …

Unlocking The Planning Capabilities Of Llms Through Maximum Diversity Fine-Tuning, Wenjun Li, Changyu Chen, Pradeep Varakantham

Research Collection School Of Computing and Information Systems

Large language models (LLMs) have demonstrated impressive task-solving capabilities through prompting techniques and system designs, including solving planning tasks (e.g., math proofs, basic travel planning) when sufficient data is available online and used during pre-training. However, for planning tasks with limited prior data (e.g., blocks world, advanced travel planning), the performance of LLMs, including proprietary models like GPT and Gemini, is poor. This paper investigates the impact of fine-tuning on the planning capabilities of LLMs, revealing that LLMs can achieve strong performance in planning through substantial (tens of thousands of specific examples) fine-tuning. Yet, this process incurs high economic, time, …

Eduqate: Generating Adaptive Curricula Through Rmabs In Education Settings, Sidney Tio, Dexun Li, Pradeep Varakantham

Research Collection School Of Computing and Information Systems

There has been significant interest in the development of personalized and adaptive educational tools that cater to a student's individual learning progress. A crucial aspect in developing such tools is in exploring how mastery can be achieved across a diverse yet related range of content in an efficient manner. While Reinforcement Learning and Multi-armed Bandits have shown promise in educational settings, existing works often assume the independence of learning content, neglecting the prevalent interdependencies between such content. In response, we introduce Education Network Restless Multi-armed Bandits (EdNetRMABs), utilizing a network to represent the relationships between interdependent arms. Subsequently, we propose …

Towards Multimodal Empathetic Response Generation: A Rich Text-Speech-Vision Avatar-Based Benchmark, Han Zhang, Zixiang Meng, Meng Luo, Hong Han, Lizi Liao, Erik Cambria, Hao Fei

Research Collection School Of Computing and Information Systems

Empathetic Response Generation (ERG) is one of the key tasks of the affective computing area, which aims to produce emotionally nuanced and compassionate responses to user's queries. However, existing ERG research is predominantly confined to the singleton text modality, limiting its effectiveness since human emotions are inherently conveyed through multiple modalities. To combat this, we introduce an avatar-based Multimodal ERG (MERG) task, entailing rich text, speech, and facial vision information. We first present a large-scale high-quality benchmark dataset, AvaMERG, which extends traditional text ERG by incorporating authentic human speech audio and dynamic talking-face avatar videos, encompassing a diverse range of …

Iot In Sustainability And Iot In The Ai And Metaverse Age, Yuzhou Qian, Keng Siau

Research Collection School Of Computing and Information Systems

The Internet of Things (IoT) is a modern technology that has gained large popularity and is still developing. Connecting heterogeneous devices, such as phones, vehicles, and household appliances, IoT has brought convenience to our lives. Further, IoT plays a significant role in enhancing environmental sustainability. It provides timely data about different devices and enables users and managers to directly control the objects. IoT can optimize the existing energy systems and promote the usage of renewable technologies. In this paper, we discuss how IoT supports green initiatives (i.e., how it is applied in different sectors), how it can be "green" itself …

Flexfl: Flexible And Effective Fault Localization With Open-Source Large Language Models, Chuyang Xu, Zhongxin Liu, Xiaoxue Ren, Gehao Zhang, Ming Liang, David Lo

Research Collection School Of Computing and Information Systems

Fault localization (FL) targets identifying bug locations within a software system, which can enhance debugging efficiency and improve software quality. Due to the impressive code comprehension ability of Large Language Models (LLMs), a few studies have proposed to leverage LLMs to locate bugs, i.e., LLM-based FL, and demonstrated promising performance. However, first, these methods are limited in flexibility. They rely on bug-triggering test cases to perform FL and cannot make use of other available bug-related information, e.g., bug reports. Second, they are built upon proprietary LLMs, which are, although powerful, confronted with risks in data privacy. To address these limitations, …

Mosmac: A Multi-Agent Reinforcement Learning Benchmark On Sequential Multi-Objective Tasks, Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Recent advancements in multi-agent reinforcement learning (MARL) have demonstrated success on various cooperative multi-agent tasks. However, current benchmarks often fall short of representing realistic scenarios that demand agents to execute sequential tasks over long temporal horizons while balancing multiple objectives. To address this limitation, we introduce multi-objective SMAC (MOSMAC), a comprehensive MARL benchmark designed to evaluate MARL methods on tasks involving multiple objectives, sequential subtask assignments, and varying temporal horizons. MOSMAC requires agents to tackle a series of interconnected subtasks in StarCraft II while simultaneously optimizing for multiple objectives, including combat, safety, and navigation. Through rigorous evaluation of nine state-of-the-art …

Who’S More Likely To Do Science Philanthropy? Research On The Factors Influencing Chinese Private Entrepreneurs’ Willingness To Do Science Philanthropy, Tsz Ho Tony Lau

Dissertations and Theses Collection (Open Access)

China’s investment in scientific research funds feature relatively small amount and unitary structure of source. In recent years, the Chinese government has constantly issued policies to encourage social capital to participate in scientific research, especially fundamental research, by charitable donations or the like, but no significant results have been achieved. China's private entrepreneurs are the main force behind charitable giving. Therefore, it is imperative to engage these private entrepreneurs.

This thesis works on the characteristics of private entrepreneurs who are more likely to donate to scientific research. It can be divided into two parts/studies of research: 1) the impact of …

Do Bank Ceos Learn From Crisis Experiences?, Gloria Yang Yu

Research Collection Lee Kong Chian School Of Business

Does the early-career exposure of bank CEOs to the 1980s savings and loans (S&L) crisis affect the outcomes of banks they subsequently managed? We measure the S&L crisis exposure by the bank failure rate in the states where CEOs worked during the S&L crisis. Armed with this measure, we find that banks managed by CEOs with higher S&L crisis exposure took on less risk and that these banks better survived the financial crisis of 2008. In particular, CEOs adjusted risk attitudes in areas causing the S&L crisis: their more intense crisis experience reduced banks’ interest rate risk, exposure to risky …

Undergraduate Accounting Capstone: Enhancing Integration, Reflective Learning, And Workplace Transition For Future Professionals, Duan Ning, Magdeleine Lew, Clarence Goh, Poh Sun Seow, Gary Pan

Research Collection School Of Accountancy

This study examines whether a university capstone course focused on accounting data and analytics equips undergraduate accounting students with the relevant professional and technological skills for future work. There is concern that the traditional accounting curriculum, which often emphasizes theoretical knowledge and technical skills, may not sufficiently prepare students for the complex, data-driven environment in the workplace. Therefore, our study is important because professional and technological skills are essential skills that students need to thrive in complex, data-driven environments, and our study provides insights into whether a capstone course can equip students with these skills. To examine these issues, we …

Sita: Structurally Imperceptible And Transferable Adversarial Attacks For Stylized Image Generation, Jingdan Kang, Haoxin Yang, Yan Cai, Huaidong Zhang, Xuemiao Xu, Yong Du, Shengfeng He

Research Collection School Of Computing and Information Systems

Image generation technology has brought significant advancements across various fields but has also raised concerns about data misuse and potential rights infringements, particularly with respect to creating visual artworks. Current methods aimed at safeguarding artworks often employ adversarial attacks. However, these methods face challenges such as poor transferability, high computational costs, and the introduction of noticeable noise, which compromises the aesthetic quality of the original artwork. To address these limitations, we propose a Structurally Imperceptible and Transferable Adversarial (SITA) attacks. SITA leverages a CLIP-based destylization loss, which decouples and disrupts the robust style representation of the image. This disruption hinders …

Comadice: Offline Cooperative Multi-Agent Reinforcement Learning With Stationary Distribution Shift Regularization, The Viet Bui, Tien Mai, Hong Thanh Nguyen

Research Collection School Of Computing and Information Systems

Offline reinforcement learning (RL) has garnered significant attention for its ability to learn effective policies from pre-collected datasets without the need for further environmental interactions. While promising results have been demonstrated in single-agent settings, offline multi-agent reinforcement learning (MARL) presents additional challenges due to the large joint state-action space and the complexity of multi-agent behaviors. A key issue in offline RL is the distributional shift, which arises when the target policy being optimized deviates from the behavior policy that generated the data. This problem is exacerbated in MARL due to the interdependence between agents' local policies and the expansive joint …

Prioritizing Speech Test Cases, Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, Bowen Xu, Xin Zhou, Donggyun Han, David Lo

Research Collection School Of Computing and Information Systems

As Automated Speech Recognition (ASR) systems gain widespread acceptance, there is a pressing need to rigorously test and enhance their performance. Nonetheless, the process of collecting and executing speech test cases is typically both costly and time-consuming. This presents a compelling case for the strategic prioritization of speech test cases, which consist of a piece of audio and the corresponding reference text. The central question we address is: In what sequence should speech test cases be collected and executed to identify the maximum number of errors at the earliest stage? In this study, we introduce PRiOritizing sPeecH tEsT …

The Lao Penal Code: A Comparative Discourse, Wing Cheong Chan, Wing Cheong Chan, Phanthasak Mingnakhone, Perrine Simon, Stanley Yeo

Research Collection Yong Pung How School Of Law

This book comprises a commentary on the criminal law of Laos dealing with the general principles of criminal responsibility, and describing the main offences against the person and property under the Lao Penal Code 2017.

Culture And Sustainability: Understanding The Roles Of Values, Norms, And Cultural Tightness In Sustainable Consumption Behaviour, Sook Sum Au

Dissertations and Theses Collection (Open Access)

The past decade has seen an increased interest in environmental sustainability. Yet, few studies have examined the relationship between culture, sustainable consumption intention (SCI), and sustainable consumption behaviour (SCB). This study addresses this gap by examining the roles of values, norms and CTL in an integrative model to predict SCI and SCB. This study focuses on four types of values that are considered most relevant in environmental research (biospheric, altruistic, egoistic, and hedonic). Drawing on data from a sample across the 10 most culturally "tight" and 10 most culturally "loose" states in the US, this study applied multilevel modelling to …

Trait Mindfulness Is Associated With Enhanced Daily Affectivity And Cognition Independent Of Daily Stressors Exposure: Insights From Large-Scale Daily Diary Studies In The Us And Singapore, Yi Jing Chua, Andree Hartanto, Nadyanna M. Majeed

Research Collection School of Social Sciences

Trait mindfulness has been linked to various adaptive outcomes, including attenuated affective and cognitive responses to laboratory-induced stress. However, the role of trait mindfulness as a resilience factor against daily stressors exposures is less established. Across 2 studies, multilevel analysis was used to examine the relationships between trait mindfulness and daily affect and cognition, as well as affective and cognitive reactivity to and recovery from everyday stressor exposure. Trait mindfulness was significantly associated with higher daily positive affect in both studies, lower negative affect and cognitive failure, and lower cognitive reactivity to daily stressor exposure in Study 2. However, trait …

Ageing In Place: The Key To Receiving A Superaged Society, Paulin Tay Straughan, Yi Wen (Chen Yiwen) Tan, Qi Ting, Zidane Tiew, Zeyu Zheng, Rachel Wen Yi Ngu, Wei Tin Hiah

Research Collection School of Social Sciences

Ageing in place is the ability to remain in one’s community, where living conditions foster a sense of attachment that enhances holistic well-being. To facilitate this, both the built and social environments within which the home is nested must be conducive to successful ageing. This paper deconstructs the merits of ageing in place, specifically how attachment to the lived environment contributes to holistic well-being. We analysed data from 6020 participants in the Singapore Life Panel® using path models, where we examined three dimensions of ageing in place: place identity, continuity, and social inclusion. Five path analyses show that two dimensions …

Research On Dual Performance Of Industrial Parks Driven By Big Data: Fsqca Analysis Using Resource-Based View, Xionghong Jiang

Dissertations and Theses Collection (Open Access)

Digital economic industrial parks serve as significant vehicles for the development of the digital economy, as highlighted in the national 14th FiveYear Plan for Digital Economy Development (hereinafter referred to as "the Plan"). The Plan identifies the digital transformation of industrial parks and clusters as a key task in the broader industrial digital transformation. Intelligent parks represent the future trend of park development. Current data reveals that there are over 80,000 industrial parks across China, with revenues of the top 100 parks in 2023 reaching RMB 37.9 trillion. In 2022 alone, investment in intelligent parks exceeded RMB 300 billion, a …

The Impact Of Awards And Honors On Project Bidding, Ren Wang

Dissertations and Theses Collection (Open Access)

This dissertation conducts a systematic study on the successful transformation and upgrading of China's automotive industry over the past decade, especially the remarkable progress made in the field of Electric and Intelligent Vehicles, and examines how China's automotive industry chain has seized the historical opportunity of the great transformation of the global automotive industry by “Four Modernizations”—electrification, intelligentization, lightweighting and modularization along the path of "Independent Innovation", and realized the overall improvement of both corporate performance and industrial strength under the synergy of strategic investors.

China has newly become the world's largest automotive exporter and successfully built up an advantageous …

Competency Of Sales Employees In Knowledge-Intensive Industries An Empirical Study Based On The Pharmaceutical Industry, Yue Zhang

Dissertations and Theses Collection (Open Access)

With the rapid development of modern technology, the pharmaceutical industry is undergoing a period of unprecedented change. On the one hand, global population growth, aging, and the continued increase in people's healthconcerns have led to an ever-expanding demand for the pharmaceutical market. On the other hand, a large amount of capital is pouring into the pharmaceutical field, prompting the emergence of new pharmaceutical enterprises, and the competition in the market is becoming increasingly heated. Against this backdrop, the replacement of pharmaceutical products has acceleratedsignificantly, with new therapeutic methods, pharmaceutical dosage forms andinnovative drugs being introduced to the market. At the …

The Effects Of Financial Vulnerability On The Prosocial Behavior Of Medical Staff At Pet Hospitals, Guoxing Xu

Dissertations and Theses Collection (Open Access)

The coronavirus disease 2019 (COVID-19) pandemic has fundamentally disrupted business operations, causing widespread financial strain and uncertainty for employees, and research shows that financial vulnerability – the sense of insecurity regarding one’s economic resources – has reached unprecedented levels among workers. But while conventional wisdom might suggest that financial stress leads to decreased work performance, a critical gap exists in understanding how financial vulnerability influences employee behavior in service-oriented environments.

Therefore, this study investigated the relationship between financial vulnerability and employee behavior within the context of pet hospitals in China, examining how organizational factors moderate this relationship. Data were collected …

Estimation And Inference In A Possibly Multicointegrated System With A Fixed Number Of Instruments, Yixiao Sun, Peter C. B. Phillips, Igor L. Kheifets

Research Collection School Of Economics

This paper shows that the mixed normal asymptotic limit of the trend IV estimator with a fixed number of deterministic instruments (fTIV) holds in both singular (multicointegrated) and nonsingular cointegration systems, thereby relaxing the exogeneity condition in (Phillips and Kheifets, 2024, Theorem 1(ii)). The mixed normality of the limiting distribution of fTIV allows for asymptotically pivotal F and t tests about the cointegration parameters and for simple efficiency comparisons of the estimators for different numbers K of instruments, as well as comparisons with the trend IV estimator when K→∞ with the sample size.

Statistical Inference For Noisy Matrix Completion Incorporating Auxiliary Information, Shujie Ma, Po-Yao Niu, Yichong Zhang, Yinchu Zhu

Research Collection School Of Economics

This article investigates statistical inference for noisy matrix completion in a semi-supervised model when auxiliary covariates are available. The model consists of two parts. One part is a low-rank matrix induced by unobserved latent factors; the other part models the effects of the observed covariates through a coefficient matrix which is composed of high-dimensional column vectors. We model the observational pattern of the responses through a logistic regression of the covariates, and allow its probability to go to zero as the sample size increases. We apply an iterative least squares (LS) estimation approach in our considered context. The iterative LS …

Constructive Trusts In Malaysia: A Methodological Reappraisal, Hang Wu Tang, Ying Khai Liew

Research Collection Yong Pung How School Of Law

In recent times, Malaysian courts have resorted to a ritual incantation of unconscionability and the notion of a remedial constructive trust to justify a declaration of a constructive trust. This methodology is unhelpful for approaching constructive trusts and has led the law to develop in an unprincipled and unpredictable fashion. Our central thesis is that the key Malaysian decisions could have been decided on the basis of pre-existing legal principles upon which English and Commonwealth courts have declared a constructive trust. We argue that future courts ought to realign their methodology with the orthodox tradition of incremental development of the …