Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network™

Open Access. Powered by Scholars. Published by Universities.®

Singapore Management University

Discipline
Keyword
Publication Year
Publication
Publication Type

Articles 991 - 1020 of 8679

Full-Text Articles in Entire DC Network

Weight Misperceptions And Health Management Via Information Nudges, Lanjie Wang, Xuan Zhang, Seonghoon Kim, Kanghyock Koh Jun 2024

Weight Misperceptions And Health Management Via Information Nudges, Lanjie Wang, Xuan Zhang, Seonghoon Kim, Kanghyock Koh

Research Collection School Of Economics

Being overweight or obese is a serious public health problem. Misperception of one's own weight status and inertia are major obstacles to weight control. To overcome these two problems, we conduct a randomized controlled trial in which participants are presented with the correct weight category based on their body mass index to remove any weight misperception, and then given six biweekly reminders about healthy diet and physical activity via SMS/email. We find that our intervention reduces individuals’ weight misperception and encourages healthier dietary choices. However, it has little impact on their physical activity. We further show that people who were …

Go to article

Trade Imbalance, Heavy Goods, And Pollution, Jungho Lee, Shang-Jin Wei, Jianhuan Xu Jun 2024

Trade Imbalance, Heavy Goods, And Pollution, Jungho Lee, Shang-Jin Wei, Jianhuan Xu

Research Collection School Of Economics

We propose a new welfare effect of trade surplus. Guided by insight from several fields in economics, we provide evidence that an increase in a country's trade surplus alters the unit shipping costs for its trade and the composition of its imports in ways that induce more pollution in the country in equilibrium. This new form of welfare loss of trade imbalance has not been accounted for in the existing international economics literature

Go to article

Nonstandard Errors, Albert J. Menkeld, Shihao Yu, Et Al. Jun 2024

Nonstandard Errors, Albert J. Menkeld, Shihao Yu, Et Al.

Research Collection Lee Kong Chian School Of Business

Duplicate record, see https://ink.library.smu.edu.sg/lkcsb_research/7633/. In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty - nonstandard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for more reproducible or higher rated research. Adding peer-review stages reduces NSEs. We further find that this type of uncertainty is underestimated by …

Go to article

The Importance Of Theory And History In Understanding And Developing The Common Law Of Contract – Some Further Preliminary Reflections, Hon. Andrew Phang Jun 2024

The Importance Of Theory And History In Understanding And Developing The Common Law Of Contract – Some Further Preliminary Reflections, Hon. Andrew Phang

Singapore Law Journal (Lexicon)

In a previous essay, an attempt was made to demonstrate the important role that both theory and history play in helping us to understand and develop the common law of contract. As pointed out in that essay, a comprehensive treatment of the subject would require lengthy discourse in a book or even several books. This essay follows-up on that previous essay, again by way of preliminary reflections only, to correct the dominant perception that the development of the common law in general and contract law in particular is premised mainly on doctrinal development based on logic and analogy with the …

Go to article

The Effect Of Choice Of Court Agreements On Third Parties, Tiong Min Yeo Jun 2024

The Effect Of Choice Of Court Agreements On Third Parties, Tiong Min Yeo

Singapore Law Journal (Lexicon)

The effect of choice of court agreements on the exercise of jurisdiction of the Singapore court between contracting parties at common law has received clarification in Singapore law in recent years. The position is also clear under SICC Rules and the Choice of Court Agreements Act. The effect on third parties is less clear. In this article, the effect of choice of court agreements on the position of third parties under the legal regimes above will be considered, from the perspective of both conflict of laws and the Contracts (Rights of Third Parties) Act in domestic Singapore law. This article …

Go to article

Doctrinal Basis Of Delay As A Bar To Equitable Rescission Of Contracts, Tse Loong Ryan Low Jun 2024

Doctrinal Basis Of Delay As A Bar To Equitable Rescission Of Contracts, Tse Loong Ryan Low

Singapore Law Journal (Lexicon)

The 2015 EWCA decision of Salt v Stratstone Specialist Ltd (t/a Stratstone Cadillac Newcastle) [2015] EWCA Civ 745 casts doubt on the proposition that an inordinate lapse of time alone could operate as a bar to rescission. The court grounded the operation of delay in the doctrine of laches, but as this paper will find, laches is an unsatisfactory explanation for the effect of mere delay on one’s powers of rescission, requiring something more than lapse of time alone. Other competing theories like reference to the Limitation Act 1959 by analogy, and the Sale of Goods Act 1979, have been …

Go to article

An Abiding Commitment To The Death Penalty? Centrality Of The Rule Of Law In The Administration Of Capital Punishment In Singapore, Eugene K. B. Tan Jun 2024

An Abiding Commitment To The Death Penalty? Centrality Of The Rule Of Law In The Administration Of Capital Punishment In Singapore, Eugene K. B. Tan

Singapore Law Journal (Lexicon)

Capital punishment remains in use in Singapore. The Singapore government’s position is that the death penalty works in deterring the most serious crimes. Public trust and confidence remains healthy that the death penalty regime in Singapore has the requisite deterrent effect on criminals and has sufficient safeguards to prevent any miscarriage of justice. In 2012, the Singapore Parliament made significant amendments to the Penal Code and the Misuse of Drugs Act, marking a shift from the longstanding mandatory to a discretionary death penalty system for some of the most serious crimes. It demonstrates the authorities’ belief that the mandatory death …

Go to article

Let’S Think Outside The Box: Exploring Leap-Of-Thought In Large Language Models With Multimodal Humor Generation, Shanshan Zhong, Zhongzhan Huang, Shanghua Gao, Wushao Wen, Liang Lin, Marinka Zitnik, Pan Zhou Jun 2024

Let’S Think Outside The Box: Exploring Leap-Of-Thought In Large Language Models With Multimodal Humor Generation, Shanshan Zhong, Zhongzhan Huang, Shanghua Gao, Wushao Wen, Liang Lin, Marinka Zitnik, Pan Zhou

Research Collection School Of Computing and Information Systems

Chain-of-Thought (CoT) [2, 3] guides large language models (LLMs) to reason step-by-step, and can motivate their logical reasoning ability. While effective for logical tasks, CoT is not conducive to creative problem-solving which often requires out-of-box thoughts and is crucial for innovation advancements. In this paper, we explore the Leap-of-Thought (LoT) abilities within LLMs — a nonsequential, creative paradigm involving strong associations and knowledge leaps. To this end, we study LLMs on the popular Oogiri game which needs participants to have good creativity and strong associative thinking for responding unexpectedly and humorously to the given image, text, or both, and thus …

Go to article

Mix-Initiative Response Generation With Dynamic Prefix Tuning, Yuxiang Nie, Heyan Huang, Xian-Ling Mao, Lizi Liao Jun 2024

Mix-Initiative Response Generation With Dynamic Prefix Tuning, Yuxiang Nie, Heyan Huang, Xian-Ling Mao, Lizi Liao

Research Collection School Of Computing and Information Systems

Mixed initiative serves as one of the key factors in controlling conversation directions. For a speaker, responding passively or leading proactively would result in rather different responses. However, most dialogue systems focus on training a holistic response generation model without any distinction among different initiatives. It leads to the cross-contamination problem, where the model confuses different initiatives and generates inappropriate responses. Moreover, obtaining plenty of human annotations for initiative labels can be expensive. To address this issue, we propose a general mix-Initiative Dynamic Prefix Tuning framework (IDPT) to decouple different initiatives from the generation model, which learns initiative-aware prefixes in …

Go to article

Diffusion Time-Step Curriculum For One Image To 3d Generation, Xuanyu Yi, Zike Wu, Qingshan Xu, Pan Zhou, Joo Hwee Lim, Hanwang Zhang Jun 2024

Diffusion Time-Step Curriculum For One Image To 3d Generation, Xuanyu Yi, Zike Wu, Qingshan Xu, Pan Zhou, Joo Hwee Lim, Hanwang Zhang

Research Collection School Of Computing and Information Systems

Score distillation sampling (SDS) has been widely adopted to overcome the absence of unseen views in reconstructing 3D objects from a single image. It leverages pretrained 2D diffusion models as teacher to guide the reconstruction of student 3D models. Despite their remarkable success, SDS-based methods often encounter geometric artifacts and texture saturation. We find out the crux is the overlooked indiscriminate treatment of diffusion time-steps during optimization: it unreasonably treats the studentteacher knowledge distillation to be equal at all time-steps and thus entangles coarse-grained and fine-grained modeling. Therefore, we propose the Diffusion Time-step Curriculum one-image-to-3D pipeline (DTC123), which involves both …

Go to article

Enhancing Code Vulnerability Detection Via Vulnerability-Preserving Data Augmentation, Shangqing Liu, Wei Ma, Jian Wang, Xiaofei Xie, Ruitao Feng, Yang Liu Jun 2024

Enhancing Code Vulnerability Detection Via Vulnerability-Preserving Data Augmentation, Shangqing Liu, Wei Ma, Jian Wang, Xiaofei Xie, Ruitao Feng, Yang Liu

Research Collection School Of Computing and Information Systems

Source code vulnerability detection aims to identify inherent vulnerabilities to safeguard software systems from potential attacks. Many prior studies overlook diverse vulnerability characteristics, simplifying the problem into a binary (0-1) classification task for example determining whether it is vulnerable or not. This poses a challenge for a single deep-learning based model to effectively learn the wide array of vulnerability characteristics. Furthermore, due to the challenges associated with collecting large-scale vulnerability data, these detectors often overfit limited training datasets, resulting in lower model generalization performance. To address the aforementioned challenges, in this work, we introduce a fine-grained vulnerability detector namely FGVulDet. …

Go to article

Subjective Socioeconomic Status Moderates How Resting Heart Rate Variability Predicts Pain Response, Jacinth Jia Xin Tan, Chin Hong Tan, Michael W. Kraus Jun 2024

Subjective Socioeconomic Status Moderates How Resting Heart Rate Variability Predicts Pain Response, Jacinth Jia Xin Tan, Chin Hong Tan, Michael W. Kraus

Research Collection School of Social Sciences

Higher resting heart rate variability (HRV)—an index of more flexible response to environmental stressors, including noxious stimuli—has been linked to reduced perception of experimentally induced pain. However, as stress responses are adapted to one’s chronic environments, we propose that chronic exposure to threats captured by one’s subjective socioeconomic status (SSS) may shape different adaptations that produce distinct pain responses linked to higher resting HRV. Specifically, lower SSS individuals with more threat exposures may prioritize threat detection by upregulating sensitivity to stressors, such as acute pain. Therefore, higher HRV would predict greater perceived acute pain among lower SSS individuals. In contrast, …

Go to article

Towards Faster Inference Of Transformers: Strategies For Accelerating Decoding Processes, Cunxiao Du Jun 2024

Towards Faster Inference Of Transformers: Strategies For Accelerating Decoding Processes, Cunxiao Du

Dissertations and Theses Collection (Open Access)

This thesis delves into the acceleration and optimization of Transformer inference, a subject of increasing importance with the emergence of Large Language Models (LLMs). The study primarily addresses the challenges posed by two inherent properties of Transformers during inference: the quadratic complexity of the attention mechanism and the sequential nature of autoregressive inference. The research is structured into three main parts. The first part enhances the learning capabilities of non-autoregressive Transformers, achieving a remarkable 15.0x acceleration on machine translation tasks. The following section focuses on lossless acceleration through speculative decoding, where the proposed algorithm, Glide with CAPE, is shown to …

Go to article

Unpacking The Behavioral, Cognitive, Sleep, And Stress Associations With Smartphone Checking, Yi Jing Chua Jun 2024

Unpacking The Behavioral, Cognitive, Sleep, And Stress Associations With Smartphone Checking, Yi Jing Chua

Dissertations and Theses Collection (Open Access)

The widespread use of smartphones for various daily activities has led many users to habitually check their devices. Smartphone checking may be negatively associated with daily behavioural, health, affective, and cognitive outcomes when it interrupts individuals during their work, health, and well-being-enhancing pursuits. Yet, research on smartphone checking suffers from various research gaps, including the use of cross-sectional design which hinder interpretation of the direction of relationship between smartphone checking and daily outcomes, the presence of individual difference confounds, and relying on subjective smartphone checking measures that are susceptible to recall biases. To address these gaps, the study investigated the …

Go to article

A Dual-Angle Exploration Towards Understanding Lapses In Covid-19 Social Responsibility, Sean T. H. Lee, Jerome J. X. Mah, Angela K. Y. Leung Jun 2024

A Dual-Angle Exploration Towards Understanding Lapses In Covid-19 Social Responsibility, Sean T. H. Lee, Jerome J. X. Mah, Angela K. Y. Leung

Research Collection School of Social Sciences

Breaking infection chains requires not just behaviours that allow individuals to stay healthy and uninfected (i.e. health protective behaviours) but also for those who are possibly infected to protect others from their harboured infection risk (i.e. socially responsible behaviours). However, socially responsible behaviours entail costs without clear, immediate benefits to the individual, such that public health-risking lapses occur from time to time. In this important yet understudied area, the current exploratory study sought to identify possible psychological factors that may affect people's likelihood of engaging in socially responsible behaviours. Assuming that self-perceived infection should provide an impetus to engage in …

Go to article

Dappscan: Building Large-Scale Datasets For Smart Contract Weaknesses In Dapp Projects, Zibin Zheng, Jianzhong Su, Jiachi Chen, David Lo, Zhijie Zhong, Mingxi Ye Jun 2024

Dappscan: Building Large-Scale Datasets For Smart Contract Weaknesses In Dapp Projects, Zibin Zheng, Jianzhong Su, Jiachi Chen, David Lo, Zhijie Zhong, Mingxi Ye

Research Collection School Of Computing and Information Systems

The Smart Contract Weakness Classification Registry (SWC Registry) is a widely recognized list of smart contract weaknesses specific to the Ethereum platform. Despite the SWC Registry not being updated with new entries since 2020, the sustained development of smart contract analysis tools for detecting SWC-listed weaknesses highlights their ongoing significance in the field. However, evaluating these tools has proven challenging due to the absence of a large, unbiased, real-world dataset. To address this problem, we aim to build a large-scale SWC weakness dataset from real-world DApp projects. We recruited 22 participants and spent 44 person-months analyzing 1,199 open-source audit reports …

Go to article

Consistent3d: Towards Consistent High-Fidelity Text-To-3d Generation With Deterministic Sampling Prior, Zike Wu, Pan Zhou, Xuanyu Yi, Xiaoding Yuan, Hanwang Zhang Jun 2024

Consistent3d: Towards Consistent High-Fidelity Text-To-3d Generation With Deterministic Sampling Prior, Zike Wu, Pan Zhou, Xuanyu Yi, Xiaoding Yuan, Hanwang Zhang

Research Collection School Of Computing and Information Systems

Score distillation sampling (SDS) and its variants have greatly boosted the development of text-to-3D generation, but are vulnerable to geometry collapse and poor textures yet. To solve this issue, we first deeply analyze the SDS and find that its distillation sampling process indeed corresponds to the trajectory sampling of a stochastic differential equation (SDE): SDS samples along an SDE trajectory to yield a less noisy sample which then serves as a guidance to optimize a 3D model. However, the randomness in SDE sampling often leads to a diverse and unpredictable sample which is not always less noisy, and thus is …

Go to article

Leader-Expressed Humility: Development And Validation Of Scales Based On A Comprehensive Conceptualization, Kraivin Chintakananda, James M. Diefendorff, Burak Oc, Michael A. Daniels, Gary J. Greguras, Michael R. Bashshur Jun 2024

Leader-Expressed Humility: Development And Validation Of Scales Based On A Comprehensive Conceptualization, Kraivin Chintakananda, James M. Diefendorff, Burak Oc, Michael A. Daniels, Gary J. Greguras, Michael R. Bashshur

Research Collection Lee Kong Chian School Of Business

We introduce new leader humility scales capturing a theoretically rich conceptualization of leader-expressed humility aligned with traditional and ethically-grounded philosophies. These scales draw from recent inductive research (Oc et al., 2015) identifying nine dimensions of leader-expressed humility: (1) having an accurate view of self, (2) recognizing follower strengths and achievements, (3) modeling teachability and being correctable, (4) leading by example, (5) showing modesty, (6) working together for the collective good, (7) empathy and approachability, (8) showing mutual respect and fairness, and (9) mentoring and coaching. The first three dimensions overlap with the most prominent conceptualization of leader-expressed humility in the …

Go to article

Detecting Foot Strikes During Running With Earbuds, Changshuo Hu, Thivya Kandappu, Jake Stuchbury-Wass, Yang Liu, Anthony Tang, Cecelia Mascolo, Dong Ma Jun 2024

Detecting Foot Strikes During Running With Earbuds, Changshuo Hu, Thivya Kandappu, Jake Stuchbury-Wass, Yang Liu, Anthony Tang, Cecelia Mascolo, Dong Ma

Research Collection School Of Computing and Information Systems

Running is a widely embraced form of aerobic exercise, offering various physical and mental benefits. However, improper running gaits (i.e., the way of foot landing) can pose safety risks and impact running efficiency. As many runners lack the knowledge or continuous attention to manage their foot strikes during running, in this work, we present a portable and non-invasive running gait monitoring system. Specifically, we leverage the in-ear microphone on wireless earbuds to capture the vibrations generated by foot strikes. Landing with different parts of the foot (e.g., forefoot and heel) generates distinct vibration patterns, and thus we utilize machine learning …

Go to article

Gts: Gpu-Based Tree Index For Fast Similarity Search, Yifan Zhu, Ruiyao Ma, Baihua Zheng, Xiangyu Ke, Lu Chen, Yunjun Gao Jun 2024

Gts: Gpu-Based Tree Index For Fast Similarity Search, Yifan Zhu, Ruiyao Ma, Baihua Zheng, Xiangyu Ke, Lu Chen, Yunjun Gao

Research Collection School Of Computing and Information Systems

Similarity search, the task of identifying objects most similar to a given query object under a specific metric, has gathered significant attention due to its practical applications. However, the absence of coordinate information to accelerate similarity search and the high computational cost of measuring object similarity hinder the efficiency of existing CPU-based methods. Additionally, these methods struggle to meet the demand for high throughput data management. To address these challenges, we propose GTS, a GPU-based tree index designed for the parallel processing of similarity search in general metric spaces, where only the distance metric for measuring object similarity is known. …

Go to article

Jollygesture: Exploring Dual-Purpose Gestures In Vr Presentations, Gun Woo Warren Park, Anthony Tang, Fanny Chevalier Jun 2024

Jollygesture: Exploring Dual-Purpose Gestures In Vr Presentations, Gun Woo Warren Park, Anthony Tang, Fanny Chevalier

Research Collection School Of Computing and Information Systems

Virtual reality (VR) offers new opportunities for presenters to use expressive body language to engage their audience. Yet, most VR presentation systems have adopted control mechanisms that mimic those found in face-to-face presentation systems. We explore the use of gestures that have dual-purpose: first, for the audience, a communicative purpose; second, for the presenter, a control purpose to alter content in slides. To support presenters, we provide guidance on what gestures are available and their effects. We realize our design approach in JollyGesture, a VR technology probe that recognizes dual-purpose gestures in a presentation scenario. We evaluate our approach through …

Go to article

Learning With Unreliability : Fast Few-Shot Voxel Radiance Fields With Relative Geometric Consistency, Yingjie Xu, Bangzhen Liu, Hao Tang, Bailin Deng, Shengfeng He Jun 2024

Learning With Unreliability : Fast Few-Shot Voxel Radiance Fields With Relative Geometric Consistency, Yingjie Xu, Bangzhen Liu, Hao Tang, Bailin Deng, Shengfeng He

Research Collection School Of Computing and Information Systems

We propose a voxel-based optimization framework, Re VoRF, for few-shot radiance fields that strategically ad-dress the unreliability in pseudo novel view synthesis. Our method pivots on the insight that relative depth relationships within neighboring regions are more reliable than the ab-solute color values in disoccluded areas. Consequently, we devise a bilateral geometric consistency loss that carefully navigates the trade-off between color fidelity and geometric accuracy in the context of depth consistency for uncertain regions. Moreover, we present a reliability-guided learning strategy to discern and utilize the variable quality across syn-thesized views, complemented by a reliability-aware voxel smoothing algorithm that smoothens …

Go to article

Physician-Patient Interactions In Online Healthcare Communities: The Effects Of Preconsultation On Service Delivery And Patient Satisfaction, Qian Tang, Anqi Zhao Jun 2024

Physician-Patient Interactions In Online Healthcare Communities: The Effects Of Preconsultation On Service Delivery And Patient Satisfaction, Qian Tang, Anqi Zhao

Research Collection School Of Computing and Information Systems

Preconsultation by medical professionals is a common practice in offline healthcare services to improve consultation efficiency but is rarely adopted for online healthcare services. In a noteworthy departure from this trend, a Chinese online healthcare community (OHC) has instituted preconsultation by assistant physicians prior to online consultations. Using comprehensive service data from this OHC, this study scrutinizes the effects of preconsultation on online healthcare services from both the physician and patient perspectives. The findings reveal that preconsultation by the assistant physician can significantly increase the attending physician’s response speed, length, and provision of informational support, while maintaining a consistent level …

Go to article

Human-Animal Interaction And Human Prosociality: A Meta-Analytic Review Of Experimental And Correlational Studies, Nicole Ruiying Chen, Nadyanna M. Majeed, Gloria J. Lai, Paye Shin Koh, Manmeet Kaur, K. T. A Sandeeshwara Kasturiratna, Zhi Yan Alycia Ho, Jose C. Yong, Andree Hartanto Jun 2024

Human-Animal Interaction And Human Prosociality: A Meta-Analytic Review Of Experimental And Correlational Studies, Nicole Ruiying Chen, Nadyanna M. Majeed, Gloria J. Lai, Paye Shin Koh, Manmeet Kaur, K. T. A Sandeeshwara Kasturiratna, Zhi Yan Alycia Ho, Jose C. Yong, Andree Hartanto

Research Collection School of Social Sciences

Pet ownership and interactions with animals confer various physiological and psychological benefits to humans. Although interactions with animals are commonplace, there is no consensus in the literature on the actual impact of animal exposure on prosociality. Hence, this meta-analysis investigated 20 eligible studies (n = 4,116, k = 48) and provided an extensive examination into the different potential moderators of the relationship between human–animal interaction (HAI) and prosociality, such as the distinction between empathy and prosocial behavior, HAI characteristics, and sample characteristics. Overall, a small positive effect size was found (d = 0.22), suggesting that human exposure to animals is …

Go to article

The Irreducible Otherness Of Desi And Desire In Singapore’S Gurdwaras: Moral Boundary-Making In The Shadows Of A Multicultural Society, Orlando Woods, Lily Kong Jun 2024

The Irreducible Otherness Of Desi And Desire In Singapore’S Gurdwaras: Moral Boundary-Making In The Shadows Of A Multicultural Society, Orlando Woods, Lily Kong

Research Collection College of Integrative Studies

This article considers the emergence of new multiculturalisms taking root in Asia by exploring how value-based frameworks and moral judgements are deployed to create new lines of difference within co-ethnic communities. These frameworks and judgements cause multiculturalism to become a more subjective, and thus splintered construct that is increasingly decoupled from state discourse. Further, it considers how religious spaces are typically associated with the performance of morally “right” attitudes and behaviours, and therefore provide fertile yet underexplored sites through which multicultural subjectivities are formed and enacted. It illustrates these theoretical ideas through an empirical examination of how moral boundary-making within …

Go to article

Efficient Cross-Modal Video Retrieval With Meta-Optimized Frames, Ning Han, Xun Yang, Ee-Peng Lim, Hao Chen, Qianru Sun Jun 2024

Efficient Cross-Modal Video Retrieval With Meta-Optimized Frames, Ning Han, Xun Yang, Ee-Peng Lim, Hao Chen, Qianru Sun

Research Collection School Of Computing and Information Systems

Cross-modal video retrieval aims to retrieve semantically relevant videos when given a textual query, and is one of the fundamental multimedia tasks. Most top-performing methods primarily leverage Vision Transformer (ViT) to extract video features [1]-[3]. However, they suffer from the high computational complexity of ViT, especially when encoding long videos. A common and simple solution is to uniformly sample a small number (e.g., 4 or 8) of frames from the target video (instead of using the whole video) as ViT inputs. The number of frames has a strong influence on the performance of ViT, e.g., using 8 frames yields better …

Go to article

Violet: Visual Analytics For Explainable Quantum Neural Networks, Shaolun Ruan, Zhiding Liang, Qiang Guan, Paul Robert Griffin, Xiaolin Wen, Yanna Lin, Yong Wang Jun 2024

Violet: Visual Analytics For Explainable Quantum Neural Networks, Shaolun Ruan, Zhiding Liang, Qiang Guan, Paul Robert Griffin, Xiaolin Wen, Yanna Lin, Yong Wang

Research Collection School Of Computing and Information Systems

With the rapid development of Quantum Machine Learning, quantum neural networks (QNN) have experienced great advancement in the past few years, harnessing the advantages of quantum computing to significantly speed up classical machine learning tasks. Despite their increasing popularity, the quantum neural network is quite counter-intuitive and difficult to understand, due to their unique quantum-specific layers (e.g., data encoding and measurement) in their architecture. It prevents QNN users and researchers from effectively understanding its inner workings and exploring the model training status. To fill the research gap, we propose VIOLET , a novel visual analytics approach to improve the explainability …

Go to article

Fully Automated Selfish Mining Analysis In Efficient Proof Systems Blockchains, Krishnendu Chatterjee, Amirali Ebrahimzadeh, Mehrdad Karrabi, Krzysztof Pietrzak, Michelle Yeo, Dorde Zikelic Jun 2024

Fully Automated Selfish Mining Analysis In Efficient Proof Systems Blockchains, Krishnendu Chatterjee, Amirali Ebrahimzadeh, Mehrdad Karrabi, Krzysztof Pietrzak, Michelle Yeo, Dorde Zikelic

Research Collection School Of Computing and Information Systems

We study selfish mining attacks in longest-chain blockchains like Bitcoin, but where the proof of work is replaced with efficient proof systems - like proofs of stake or proofs of space - and consider the problem of computing an optimal selfish mining attack which maximizes expected relative revenue of the adversary, thus minimizing the chain quality. To this end, we propose a novel selfish mining attack that aims to maximize this objective and formally model the attack as a Markov decision process (MDP). We then present a formal analysis procedure which computes an ϵ-tight lower bound on the optimal expected …

Go to article

Enhancing Student Engagement In Introductory Economics With Interactive Videos And Synthesized Readings In Flipped Learning, Bei Hong, Duan Ning, Magdeleine Lew Jun 2024

Enhancing Student Engagement In Introductory Economics With Interactive Videos And Synthesized Readings In Flipped Learning, Bei Hong, Duan Ning, Magdeleine Lew

Research Collection School Of Economics

A major challenge faced by university economics instructors is to find more time to incorporate active learning into the classroom, which encourages student participation. As a result, more instructors choose to flip their classrooms, in which students are encouraged to perform preparatory reading or watch videos to participate more meaningfully and learn more effectively. This study aims to examine how pre-lecture materials enhance student participation by examining the effectiveness of two types of materials: interactive videos and synthesized readings. The synthesized readings contain essential information extracted from the textbook and is presented in a structured manner with highlighted key points. …

Go to article

Imitating Cost-Constrained Behaviors In Reinforcement Learning, Qian Shao, Pradeep Varakantham, Shih-Fen Cheng Jun 2024

Imitating Cost-Constrained Behaviors In Reinforcement Learning, Qian Shao, Pradeep Varakantham, Shih-Fen Cheng

Research Collection School Of Computing and Information Systems

Complex planning and scheduling problems have long been solved using various optimization or heuristic approaches. In recent years, imitation learning that aims to learn from expert demonstrations has been proposed as a viable alternative to solving these problems. Generally speaking, imitation learning is designed to learn either the reward (or preference) model or directly the behavioral policy by observing the behavior of an expert. Existing work in imitation learning and inverse reinforcement learning has focused on imitation primarily in unconstrained settings (e.g., no limit on fuel consumed by the vehicle). However, in many real-world domains, the behavior of an expert …

Go to article

First Prev Next Last