Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Social and Behavioral Sciences (6442)
- Physical Sciences and Mathematics (6096)
- Computer Sciences (5865)
- Business (4937)
- International and Area Studies (2394)
-
- Databases and Information Systems (2388)
- Asian Studies (2331)
- Economics (1740)
- Law (1624)
- Artificial Intelligence and Robotics (1305)
- Software Engineering (1266)
- Finance and Financial Management (937)
- Psychology (931)
- Organizational Behavior and Theory (892)
- Engineering (835)
- Sociology (834)
- Public Affairs, Public Policy and Public Administration (821)
- Numerical Analysis and Scientific Computing (741)
- Information Security (712)
- Econometrics (667)
- Accounting (642)
- Graphics and Human Computer Interfaces (590)
- Education (552)
- Strategic Management Policy (543)
- Corporate Finance (512)
- Arts and Humanities (506)
- Communication (502)
- Technology and Innovation (497)
- Political Science (496)
- Medicine and Health Sciences (423)
- Keyword
-
- Singapore (612)
- China (280)
- COVID-19 (130)
- Machine learning (122)
- Innovation (104)
-
- Artificial intelligence (101)
- Singapore Management University (101)
- Culture (99)
- Deep learning (95)
- Corporate governance (89)
- Social media (86)
- Trust (86)
- Sustainability (76)
- Higher education (74)
- Asia (70)
- Well-being (66)
- Creativity (62)
- Climate change (60)
- Performance (59)
- Education (58)
- Privacy (58)
- Hedge funds (55)
- Reinforcement learning (55)
- Cloud computing (54)
- Data mining (54)
- India (54)
- Security (53)
- Technology (53)
- Gender (52)
- Blockchain (50)
- Publication Year
- Publication
-
- Research Collection School Of Computing and Information Systems (5741)
- Research Collection Lee Kong Chian School Of Business (2812)
- Research Collection School of Social Sciences (1894)
- Research Collection Yong Pung How School Of Law (1410)
- Research Collection School Of Economics (1356)
-
- Research Collection School Of Accountancy (590)
- Research Collection College of Integrative Studies (471)
- Knowledge@SMU (396)
- Perspectives@SMU (347)
- Dissertations and Theses Collection (Open Access) (201)
- Research Collection Library (143)
- Asian Management Insights (57)
- Singapore Law Journal (Lexicon) (50)
- SMU Press Releases and News (44)
- Social Space (44)
- Research Collection BNP Paribas Hedge Fund Centre (34)
- FORCE 2026 (32)
- Sim Kee Boon Institute for Financial Economics (31)
- ROSA Research Briefs (27)
- Research Collection Lee Kong Chian School of Business (20)
- COAR Asia OA Meeting 2021 (18)
- Oral History Collection (18)
- Report to Stakeholders (18)
- Research Collection Office of Impact (17)
- Dissertations and Theses Collection (16)
- CCX Research (14)
- Institute of Societal Leadership Research Collection (14)
- Research@SMU: Connecting the Dots (14)
- SMU Corporate Reports (13)
- Centre for AI & Data Governance (2019-2025) (10)
- Publication Type
- File Type
Articles 1051 - 1080 of 15983
Full-Text Articles in Entire DC Network
Entangled Exclusions: Borders, Frontiers And Urban Geopolitics From Northeast India, Prerona Das, Gaurav Mittal, Jasnea Sarma
Entangled Exclusions: Borders, Frontiers And Urban Geopolitics From Northeast India, Prerona Das, Gaurav Mittal, Jasnea Sarma
Research Collection College of Integrative Studies
An epicentre of ethnicity-based identity politics and exclusions, India's northeastern region has long been politically imagined as both a ‘frontier’ and ‘borderland’ for state control, territorialization, extractive economies and (re)developments by colonial and subsequent post-colonial regimes. In post-independence India, the region experienced many territorial assertions made on ethnic grounds. With the rise of religio-national and neoliberal politics, new urban ‘developments’ and connectivity projects in the region have deepened exclusions based on class, caste, ethnic and religious borders. These have, in turn, led to further displacement, enclavization, and ghettoization of minority communities who are deemed ‘non-native’ along ethnocentric lines. Taking two …
More Concerns About Atmospheric Methane Removal Efforts, Joshua Luczak
More Concerns About Atmospheric Methane Removal Efforts, Joshua Luczak
Research Collection College of Integrative Studies
The National Oceanic and Atmospheric Administration reported record-high global atmospheric carbon dioxide levels (419.3 ppm) in 2023, alongside atmospheric methane levels (1922.6 ppb) now over 160% above pre-industrial levels. The World Meteorological Organization predicts 2024 could surpass 2023 as the warmest year on record, with more frequent and severe extreme weather events. Meeting the Paris Climate goal of limiting global warming to well below 2°C—or ideally 1.5°C—above pre-industrial levels is becoming increasingly difficult. To address these challenges, efforts are expanding beyond reducing greenhouse gas emissions. While carbon dioxide removal (CDR) technologies have been the focus, attention is now turning to …
Park Cool Island Modifications To Assess Radiative Cooling Of A Tropical Urban Park, Graces N. Y. Ching, Sin Kang Yik, Su Li Heng, Beatrice H. Ho, Peter J. Crank, Moshe Eliezer Mandelmilch, Xiang Tian Ho, Winston T. L. Chow
Park Cool Island Modifications To Assess Radiative Cooling Of A Tropical Urban Park, Graces N. Y. Ching, Sin Kang Yik, Su Li Heng, Beatrice H. Ho, Peter J. Crank, Moshe Eliezer Mandelmilch, Xiang Tian Ho, Winston T. L. Chow
Research Collection College of Integrative Studies
Many cities experience urban overheating from climate change and the urban heat island phenomenon. Previous studies demonstrate that parks are a potential nature-based solution to mitigate urban overheating through the ‘Park Cool Island’ (PCI) effect. PCI intensity can be measured through field measurements (FM) or remote sensing. This FM study used a network of meteorological sensors within a park and in its surrounding urban area to ascertain its PCI intensity in Singapore from January to December 2022. Consistently cooler air temperatures were found throughout a 24-h period in the park area, with mean daytime (nighttime) PCI intensity measured ~ 2.21 …
Sensors And Sensibilities: Exploring Interactions For Habitat Comfort With An Environmental-Physiological Sensing Eyewear In The Wild, Sailin Zhong, Patrick Chwalek, Nathan Perry, David Ramsay, Clayton Miller, Denis Lalanne, S. Hamed Alavi, A. Joseph Paradiso
Sensors And Sensibilities: Exploring Interactions For Habitat Comfort With An Environmental-Physiological Sensing Eyewear In The Wild, Sailin Zhong, Patrick Chwalek, Nathan Perry, David Ramsay, Clayton Miller, Denis Lalanne, S. Hamed Alavi, A. Joseph Paradiso
Research Collection College of Integrative Studies
Buildings increasingly incorporate sensing and actuation techniques to automate the regulation of temperature, lighting, ventilation, and more. This trend seeks to minimize human intervention, justified by the promise of enhancing energy optimization. However, it has been widely acknowledged that loss of control over environmental conditions can lead to a diminished perception of comfort and compromised long-term user awareness and satisfaction. How can we envision building systems that can interact with building inhabitants and engage them at the “right” time and place? In this work, we address this challenge through three key contributions: 1) AirSpecs, a novel smart glasses-based system that …
Relation Prediction In Knowledge Graphs: A Self-Organizing Neural Network Approach, Budhitama Subagdja, Shanthoshigaa D, Ah-Hwee Tan
Relation Prediction In Knowledge Graphs: A Self-Organizing Neural Network Approach, Budhitama Subagdja, Shanthoshigaa D, Ah-Hwee Tan
Research Collection School Of Computing and Information Systems
Knowledge graphs (KGs) in specialized domains frequently suffer from incomplete information. While current relation prediction methods for KG completion typically rely on neural network-based representation learning, we present KG2ART---a novel self-organizing neural network that employs a fundamentally different approach. Instead of learning distributed representations, KG2ART encodes relation triples of knowledge graphs explicitly and performs parallel inference over the graph structure through bidirectional interactions between bottom-up activations and top-down pattern matching. Our comprehensive evaluation across five diverse KGs (Nations, UMLS, Kinship, CoDEx-M, and a jet engine technical KG) demonstrates that KG2ART consistently outperforms state-of-the-art baselines (TuckER, ComplEX, RESCAL, ConvE, CompGCN) in …
Guest Editorial: When Multimedia Meets Food: Multimedia Computing For Food Data Analysis And Applications, Weiqing Min, Shuqiang Jiang, Petia Radeva, Vladimir Pavlovic, Chong-Wah Ngo, Kiyoharu Aizawa, Wanqing Li
Guest Editorial: When Multimedia Meets Food: Multimedia Computing For Food Data Analysis And Applications, Weiqing Min, Shuqiang Jiang, Petia Radeva, Vladimir Pavlovic, Chong-Wah Ngo, Kiyoharu Aizawa, Wanqing Li
Research Collection School Of Computing and Information Systems
Food is central in our life for its fundamental role in our survival, health, mood and culture. The deployment of various networks (e.g., IoT and mobile networks), devices (e.g., hyperspectral imaging devices, electronic nose/tongue), databases (e.g., nutrition tables and food compositional databases), recipe-sharing websites (e.g., Yummly and Meishijie) and social media (e.g., Twitter and Weibo) has generated unprecedented volumes of multi-modal food data. Such multi-source multi-modal food data provides new perspectives to analyze and understand food consumption via multimedia computing. Riding on the wave of AI, food-oriented multimedia computing integrates AI, multimedia technology and food science to enable a wide …
Hierarchical Learning-Based Graph Partition For Large-Scale Vehicle Routing Problems, Yuxin Pan, Ruohong Liu, Yize Chen, Zhiguang Cao, Fangzhen Lin
Hierarchical Learning-Based Graph Partition For Large-Scale Vehicle Routing Problems, Yuxin Pan, Ruohong Liu, Yize Chen, Zhiguang Cao, Fangzhen Lin
Research Collection School Of Computing and Information Systems
Neural solvers based on the divide-and-conquer approach for Vehicle Routing Problems (VRPs) in general, and capacitated VRP (CVRP) in particular, integrates the global partition of an instance with local constructions for each subproblem to enhance generalization. However, during the global partition phase, misclusterings within subgraphs have a tendency to progressively compound throughout the multi-step decoding process of the learning-based partition policy. This suboptimal behavior in the global partition phase, in turn, may lead to a dramatic deterioration in the performance of the overall decomposition-based system, despite using optimal local constructions. To address these challenges, we propose a versatile Hierarchical Learning-based …
Real-Time Rectifying Flight Control Misconfiguration Using Intelligent Agent, Ruidong Han, Shangzhi Xu, Juanru Li, Elisa Bertino, David Lo, Jianfeng Ma, Siqi Ma
Real-Time Rectifying Flight Control Misconfiguration Using Intelligent Agent, Ruidong Han, Shangzhi Xu, Juanru Li, Elisa Bertino, David Lo, Jianfeng Ma, Siqi Ma
Research Collection School Of Computing and Information Systems
Configurations are supported by most flight control systems, allowing users to control a flying drone adapted to complexities such as environmental changes or mission alterations. Such an advanced functionality also introduces a significant problem—misconfiguration settings. It may cause drone instability, threaten drone safety, and potentially lead to substantial financial loss. However, detecting and rectifying misconfigurations across different flight control systems is challenging because (1) (mis)configuration-related code snippets might be syntactically correct and thus hard to identify through traditional code analysis; (2) the response to each configuration varies under different flying scenarios.In this article, we propose and implement a novel rectification …
Toward Better Comprehension Of Breaking Changes In The Npm Ecosystem, Dezhen Kong, Jiakun Liu, Lingfeng Bao, David Lo
Toward Better Comprehension Of Breaking Changes In The Npm Ecosystem, Dezhen Kong, Jiakun Liu, Lingfeng Bao, David Lo
Research Collection School Of Computing and Information Systems
Code evolution is prevalent in software ecosystems, which can provide many benefits, such as new features, bug fixes, security patches, while still introducing breaking changes that make downstream projects fail to work. Breaking changes cause a lot of effort to both downstream and upstream developers: downstream developers need to adapt to breaking changes and upstream developers are responsible for identifying and documenting them. In the NPM ecosystem, characterized by frequent code changes and a high tolerance for making breaking changes, the effort is larger.For better comprehension of breaking changes in the NPM ecosystem and to enhance breaking change detection tools, …
What Is Wrong With Workism?, Matthew Hammerton
What Is Wrong With Workism?, Matthew Hammerton
Research Collection School of Social Sciences
Workism is the phenomenon of people making their work the primary source of meaning and identity in their life. Recent critics of workism have argued that there is a growing trend towards it in many societies and that this is a bad thing. This article brings a philosophical perspective to the debate on workism. It develops a precise account of what workism is and evaluates the main objections raised against it by examining their underlying philosophical assumptions. Ultimately, it is argued that workism, as a way of life, is not as objectionable as its critics suggest.
The Latin American Principles For Out-Of-Court Workouts, Aurelio Gurrea-Martinez, Adolfo Rouillon
The Latin American Principles For Out-Of-Court Workouts, Aurelio Gurrea-Martinez, Adolfo Rouillon
Research Collection Yong Pung How School Of Law
Out-of-court workouts can save significant costs associated with the initiation of a formal insolvency proceeding. Therefore, they can help minimise the loss of value experienced by an insolvent firm, ultimately contributing to the maximisation of the returns to creditors and the reorganisation of viable but financially distressed businesses. Additionally, an out-of-court agreement can provide a level of flexibility and confidentiality that is usually lacking in formal insolvency proceedings. Thus, an out-of-court workout can serve as a valuable mechanism to deal with a situation of financial distress, especially in the context of countries with inefficient insolvency systems and companies with concentrated …
Dispositional Religiosity Predicts Increased Incidence Of Mixed Emotions: Evidence Across Five Studies Spanning Two Countries, Vincent Y. S. Oh, Andree Hartanto, Ringo M. H. Ho, Eddie M. W. Tong
Dispositional Religiosity Predicts Increased Incidence Of Mixed Emotions: Evidence Across Five Studies Spanning Two Countries, Vincent Y. S. Oh, Andree Hartanto, Ringo M. H. Ho, Eddie M. W. Tong
Research Collection School of Social Sciences
Across five studies (total N = 8,414), we examined whether religious individuals experienced more mixed emotions. Studies 1 and 2 examined associations between dispositional religiosity and mixed emotions, while Study 3 provided a pre-registered replication. Study 4 provided a pre-registered exploratory examination of three potential mediators of the relationship between dispositional religiosity and mixed emotions: trait dialecticism, cognitive reappraisal, and fear of God. Finally, Study 5 provided pre-registered prospective analyses testing associations between dispositional religiosity and mixed emotions 1 month later. Across all studies, positive and negative emotions were also examined, and latent variable structural equation modeling was performed, controlling …
Do Birds Of A Nest Flock Together? A Study Of Home Provinces And Migration Paths Among Filipina Domestic Workers In Hong Kong, Tim F. Liao, Yasmin Y. Ortiga
Do Birds Of A Nest Flock Together? A Study Of Home Provinces And Migration Paths Among Filipina Domestic Workers In Hong Kong, Tim F. Liao, Yasmin Y. Ortiga
Research Collection School of Social Sciences
There is strong evidence that migration is networked. However, it is unclear whether having the same province of origin can also lead to similar migratory paths. This study investigates the question of whether a shared home province among Filipina migrant domestic workers in Hong Kong is associated with shared or linked migration paths to Hong Kong. Using a unique data source, the 2017 Survey of Migrant Domestic Workers in Hong Kong, we employed sequence analysis to identify which specific provinces exhibit stronger linkages between migratory trajectories among migrants from the same provinces and if so, whether certain provincial characteristics matter. …
Voting For Winners And Losers In A Hybrid Regime: How Thailand's 2023 Election Shaped Voter Opinion, Jacob Ricks, Allen Hicken
Voting For Winners And Losers In A Hybrid Regime: How Thailand's 2023 Election Shaped Voter Opinion, Jacob Ricks, Allen Hicken
Research Collection School of Social Sciences
Research in Western Democracies suggests voting has substantive impacts on how one feels about democracy and state institutions. Voting for winners leads to positive feelings while voting for losers has the opposite effect. How, though, do voters interpret electoral results in a system prone to authoritarian intervention? Thailand's 2023 election offers a unique opportunity to examine how voting in a hybrid regime can impact voter opinion. Using a pre- and postelection survey, we demonstrate that, like elections in democracies, an election in a hybrid regime can have a significant impact on voter opinions. When pro-democracy voters win an election in …
Exploring The Relationship Between Intrinsic Capacity And Social Participation In Healthy Ageing: Evidence From Singapore, Li Ling Cheong, William Tov, Robin Wai Munn Choo, Micah Tan, Lay Khoon Lau, Wee Shiong Lim, Yew Yoong Ding, Paulin Tay Straughan
Exploring The Relationship Between Intrinsic Capacity And Social Participation In Healthy Ageing: Evidence From Singapore, Li Ling Cheong, William Tov, Robin Wai Munn Choo, Micah Tan, Lay Khoon Lau, Wee Shiong Lim, Yew Yoong Ding, Paulin Tay Straughan
Research Collection School of Social Sciences
Objective: The World Health Organization has identified intrinsic capacity and functional ability as key constructs in enabling healthy ageing. However, functional ability is distinct from actual levels of social and physical participation, which research has shown to be associated with health and wellbeing. This study distinguishes between functional ability and actual levels of social and physical participation, and utilizes the International Classification of Functioning, Disability and Health framework to examine the relationship between IC and the two constructs. Methods: This study utilizes cross-sectional self-reported data from a nationally representative panel of Singapore residents aged 56–75 (N = 6,434). We performed …
Infrastructuring Planetary Rural Geographies: A View From China’S Rural Construction Movement, Ningning Chen, Lily Kong, Yurui Li
Infrastructuring Planetary Rural Geographies: A View From China’S Rural Construction Movement, Ningning Chen, Lily Kong, Yurui Li
Research Collection School of Social Sciences
This commentary responds to Wang et al.'s (2023) call for planetary rural geographies by attending to the neglected infrastructural dimensions. In so doing, we show how China's rural construction movement demonstrates Wang et al.'s (2023) three geographies of planetary rurality: as spaces of crisis, conflict, and hope. Simultaneously, we address how planetary rural thinking can foreground infrastructural geographies and their destabilization of urban-centered discourses, leading to a reconsideration of rural–urban relationality. We then identify new insights that critical infrastructural studies offer to planetary rural geographies. This includes an emphasis on the material grounds, hidden politics, and non-linear temporal patterns of …
Toward Whole-Person Fit Assessment: Integrating Interests, Values, Skills, Knowledge, And Personality Using The Occupational Information Network (O*Net), Zihan Liu, Kevin A. Hoff, Chu Chu, Frederick L. Oswald, James Rounds
Toward Whole-Person Fit Assessment: Integrating Interests, Values, Skills, Knowledge, And Personality Using The Occupational Information Network (O*Net), Zihan Liu, Kevin A. Hoff, Chu Chu, Frederick L. Oswald, James Rounds
Research Collection Lee Kong Chian School Of Business
Measuring person–occupation fit serves many important purposes, from helping young people explore majors and careers to helping jobseekers assess fit with available jobs. However, most existing fit measures are limited in that they focus on single individual difference domains without considering how fit may differ across multiple domains. For example, a jobseeker might be highly interested in a job, yet not possess the requisite skills or knowledge to perform the job well. The current research addresses this issue by evaluating an integrative set of person–occupation fit assessments that measure 88 fit dimensions across five domains: vocational interests, work values, knowledge, …
Tba Trading And Security Issuance In The Agency Mbs Market, Yu An, Wei Li, Zhaogang Song
Tba Trading And Security Issuance In The Agency Mbs Market, Yu An, Wei Li, Zhaogang Song
Research Collection Lee Kong Chian School Of Business
In addition to the standard individual-security-based specified pool (SP) contract, agency mortgage-backed securities (MBS) are actively traded via the to-be-announced (TBA) contract that sets a uniform price for a cohort of heterogeneous securities. We provide empirical support for the economic impact of TBA trading on MBS issuers' security design: issuers pick low-quality loans and pool them together into few TBA MBS. We then conduct a quantitative analysis and show that TBA-trading-induced strategic MBS design increases issuers' selling revenue by about 55% of the SP transaction costs. Finally, we show that smaller issuers are less able to package low-quality loans separately …
Strategizing Towards The Future Hospital: A Systems Thinking Approach, Ashish Kumar, Sean Shao Wei Lam, Sze Ling Chan, Yingqi Xu, Yao Ge, Geoffrey Kah Tack Gui, Hiang Khoon Tan
Strategizing Towards The Future Hospital: A Systems Thinking Approach, Ashish Kumar, Sean Shao Wei Lam, Sze Ling Chan, Yingqi Xu, Yao Ge, Geoffrey Kah Tack Gui, Hiang Khoon Tan
Research Collection School Of Economics
Background: The complex systemic nature of Future Hospital design in the rapidly ageing city-state of Singapore calls for systems thinking. We apply this approach to answer two research questions: (i) What are the variables that drive the present and future dynamics of the Future Hospital system? (ii) How are these driving variables related? Methods: Causal loop diagrams (CLDs) were developed collaboratively by a cross-functional system modelling team through group modelling discussions and reviews, totalling 20 sessions. Network analysis of the resulting CLDs was used to identify dominant variables. Results: Seven interlocking CLDs (national view, cluster view, and study hospital top …
Valuation Of Crypto Assets On Blockchain With Deep Learning Approach, Xi Zhou, Yin Pang, Esther Ying Yang, Jing Rong Goh, Shaun Shuxun Wang
Valuation Of Crypto Assets On Blockchain With Deep Learning Approach, Xi Zhou, Yin Pang, Esther Ying Yang, Jing Rong Goh, Shaun Shuxun Wang
Research Collection School Of Economics
With the rapid expansion of the blockchain ecosystem, crypto asset valuation has become an essential area of study for investors and institutions. Here, we introduce a deep learning framework that was designed to predict the value index of crypto assets by integrating intrinsic value variables and decomposing market prices into value and sentiment components. The Crypto Asset Value-indexing Model (CAVM) was applied to Ethereum’s cryptocurrency ETH to demonstrate its effectiveness. Four econometric tests were conducted to verify the informativeness, predictiveness, and reasonability of the generated value indices, as well as the efficiency of price decomposition. Our findings suggested that the …
Limit Theory For Local Polynomial Estimation Of Functional Coefficient Models With Possibly Integrated Regressors, Ying Wang, Peter C. B. Phillips
Limit Theory For Local Polynomial Estimation Of Functional Coefficient Models With Possibly Integrated Regressors, Ying Wang, Peter C. B. Phillips
Research Collection School Of Economics
Limit theory for functional coefficient cointegrating regression was recently found to be considerably more complex than earlier understood. The issues were explained and correct limit theory derived for the kernel weighted local level estimator in Phillips and Wang (2023b). The present paper provides complete limit theory for the general kernel weighted local th order polynomial estimators of the functional coefficient and the coefficient derivatives. Both stationary and nonstationary regressors are allowed. Implications for bandwidth selection are discussed. An adaptive procedure to select the fit order is proposed and found to work well. A robust -ratio is constructed following the new …
Multiobjective Linear Ensembles For Robust And Sparse Training Of Few-Bit Neural Networks, Ambrogio Maria Bernardelli, Stefano Gualandi, Simone Milanesi, Hoong Chuin Lau, Neil Yorke-Smith
Multiobjective Linear Ensembles For Robust And Sparse Training Of Few-Bit Neural Networks, Ambrogio Maria Bernardelli, Stefano Gualandi, Simone Milanesi, Hoong Chuin Lau, Neil Yorke-Smith
Research Collection School Of Computing and Information Systems
Training neural networks (NNs) using combinatorial optimization solvers has gained attention in recent years. In low-data settings, the use of state-of-the-art mixed integer linear programming solvers, for instance, has the potential to exactly train an NN while avoiding computing-intensive training and hyperparameter tuning and simultaneously training and sparsifying the network. We study the case of few-bit discrete-valued neural networks, both binarized neural networks (BNNs) whose values are restricted to ±1 and integer-valued neural networks (INNs) whose values lie in the range {−P,…,P}. Few-bit NNs receive increasing recognition because of their lightweight architecture and ability to run on low-power devices: for …
Augsso: Secure Threshold Single-Sign-On Authentication With Popular Password Collection, Changsong Jiang, Chunxiang Xu, Guomin Yang
Augsso: Secure Threshold Single-Sign-On Authentication With Popular Password Collection, Changsong Jiang, Chunxiang Xu, Guomin Yang
Research Collection School Of Computing and Information Systems
Single-sign-on authentication is widely deployed in mobile systems, which allows an identity server to authenticate a mobile user and issue her/him with a token, such that the user can access diverse mobile services. To address the single-point-offailure problem, threshold single-sign-on authentication (PbTA) is a feasible solution, where multiple identity servers perform user authentication and token issuance in a threshold way. However, existing PbTA schemes confront critical drawbacks. Specifically, these schemes are vulnerable to perpetual secret leakage attacks (PSLA): an adversary perpetually compromises secrets of identity servers (e.g., secret key shares or credentials) to break security. Besides, they fail to achieve …
Enriching Automatic Test Case Generation By Extracting Relevant Test Inputs From Bug Reports, Wendkuuni C. Ouedraogo, Laura Plein, Kader Kabore, Andrew Habib, Jacques Klein, David Lo, Tegawende F. Bissyande
Enriching Automatic Test Case Generation By Extracting Relevant Test Inputs From Bug Reports, Wendkuuni C. Ouedraogo, Laura Plein, Kader Kabore, Andrew Habib, Jacques Klein, David Lo, Tegawende F. Bissyande
Research Collection School Of Computing and Information Systems
The quality of software is closely tied to the effectiveness of the tests it undergoes. Manual test writing, though crucial for bug detection, is time-consuming, which has driven significant research into automated test case generation. However, current methods often struggle to generate relevant inputs, limiting the effectiveness of the tests produced. To address this, we introduce BRMiner, a novel approach that leverages Large Language Models (LLMs) in combination with traditional techniques to extract relevant inputs from bug reports, thereby enhancing automated test generation tools. In this study, we evaluate BRMiner using the Defects4J benchmark and test generation tools such as …
Reverse Modeling In Large Language Models, Sicheng Yu, Yuanchen Xu, Cunxiao Du, Yanying Zhou, Minghui Qiu, Qianru Sun, Hao Zhang, Jiawei Wu
Reverse Modeling In Large Language Models, Sicheng Yu, Yuanchen Xu, Cunxiao Du, Yanying Zhou, Minghui Qiu, Qianru Sun, Hao Zhang, Jiawei Wu
Research Collection School Of Computing and Information Systems
Humans are accustomed to reading and writing in a forward manner, and this natural bias extends to text understanding in auto-regressive large language models (LLMs). This paper investigates whether LLMs, like humans, struggle with reverse modeling, specifically with reversed text inputs. We found that publicly available pre-trained LLMs cannot understand such inputs. However, LLMs trained from scratch with both forward and reverse texts can understand them equally well during inference. Our case study shows that different-content texts result in different losses if input (to LLMs) in different directions---some get lower losses for forward while some for reverse. This leads us …
Disambiguart: A Neural-Based Inference Model For Knowledge Graph Disambiguation, Budhitama Subagdja, D. Shanthoshigaa, Ah-Hwee Tan
Disambiguart: A Neural-Based Inference Model For Knowledge Graph Disambiguation, Budhitama Subagdja, D. Shanthoshigaa, Ah-Hwee Tan
Research Collection School Of Computing and Information Systems
One main challenge in constructing a knowledge graph (KG) is to deal with ambiguity. Specifically, an entity in the graph can be assigned with multiple meanings while two or more entities considered to have different meanings may actually be the same. Assigning an entity with the correct meaning may involve re-evaluation of its relevant contexts. This costly operation typically involves searching for other similar entities within the KG such that the context can be determined. In this paper, a new model called DisambiguART is proposed leveraging multi-channel matching and inference in a self-organizing neural network for sense disambiguation in knowledge …
Creating Talking Points For Client Advisers At Banks To Promote Sustainable Investing, Wewe Zi Yi, Pradeep Varakantham, Alan Megargel
Creating Talking Points For Client Advisers At Banks To Promote Sustainable Investing, Wewe Zi Yi, Pradeep Varakantham, Alan Megargel
Research Collection School Of Computing and Information Systems
Environmental, social and governance (ESG) factors have become key nonfinancial factors for investors to evaluate companies with respect to understanding material risks and growth opportunities. While not mandatory, companies are providing ESG reports that outline progress in different ESG metrics (six broad metrics and 15 specific ones). Client advisers (CAs) read these reports to identify key metrics of interest to investors. Given the number of companies and investment products, however, it is not feasible for CAs to read all the reports, which can sometimes run into tens or hundreds of pages). The authors have developed multiple frameworks building on leading …
Quantitative Runtime Monitoring Of Ethereum Transaction Attacks, Xinyao Xu, Ziyu Mao, Jianzhong Su, Xingwei Lin, David Basin, Jun Sun, Jingyi Wang
Quantitative Runtime Monitoring Of Ethereum Transaction Attacks, Xinyao Xu, Ziyu Mao, Jianzhong Su, Xingwei Lin, David Basin, Jun Sun, Jingyi Wang
Research Collection School Of Computing and Information Systems
The rapid growth of decentralized applications, while revolutionizing financial transactions, has created an attractive target for malicious attacks. Existing approaches to detecting attacks often rely on predefined rules or simplistic and overly-specialized models, which lack the flexibility to handle the wide spectrum of diverse and dynamically changing attack types. To address this challenge, we present a general and extensible framework, MoE (Monitoring Ethereum), that leverages runtime verification to detect a wide range of attacks on Ethereum. MoE features an expressive attack modeling language, based on Metric First-order Temporal Logic (MFOTL), that can formalize a wide range of attacks. We integrate …
Integrating Path Selection For Symbolic Execution And Variable Selection For Constraint Solving, Shunkai Zhu, Jun Sun, Jingyi Wang, Zhenbang Chen, Peng Cheng
Integrating Path Selection For Symbolic Execution And Variable Selection For Constraint Solving, Shunkai Zhu, Jun Sun, Jingyi Wang, Zhenbang Chen, Peng Cheng
Research Collection School Of Computing and Information Systems
Symbolic execution is a powerful technique that can accurately synthesize program inputs for program testing through constraint solving. Applying symbolic execution effectively means that we must solve two searching problems efficiently. One is to search through the many program paths and the other is, given a particular path condition, to search through the numerous variable assignments to identify one satisfying solution. With few exceptions, existing symbolic execution engines treat constraint solvers as black boxes. As a result, the two searches are completely separated, which results in much redundancy (i.e., the same variable assignments may be tried for solving many program …
Query Understanding In Llm-Based Conversational Information Seeking, Yifei Yuan, Zahra Abbasiantaeb, Yang Deng, Mohammad Aliannejadi
Query Understanding In Llm-Based Conversational Information Seeking, Yifei Yuan, Zahra Abbasiantaeb, Yang Deng, Mohammad Aliannejadi
Research Collection School Of Computing and Information Systems
Query understanding in Conversational Information Seeking (CIS) involves accurately interpreting user intent through context-aware interactions. This includes resolving ambiguities, refining queries, and adapting to evolving information needs. Large Language Models (LLMs) enhance this process by interpreting nuanced language and adapting dynamically, improving the relevance and precision of search results in real-time. In this tutorial, we explore advanced techniques to enhance query understanding in LLM-based CIS systems. We delve into LLM-driven methods for developing robust evaluation metrics to assess query understanding quality in multiturn interactions, strategies for building more interactive systems, and applications like proactive query management and query reformulation. We …