Digital Commons Network^™

Comai: Enabling Lightweight, Collaborative Intelligence By Retrofitting Vision Dnns, Kasthuri Jayarajah, Dhanuja Wanniarachchige, Tarek Abdelzaher, Archan Misra

Research Collection School Of Computing and Information Systems

While Deep Neural Network (DNN) models have transformed machine vision capabilities, their extremely high computational complexity and model sizes present a formidable deployment roadblock for AIoT applications. We show that the complexity-vs-accuracy-vs-communication tradeoffs for such DNN models can be significantly addressed via a novel, lightweight form of “collaborative machine intelligence” that requires only runtime changes to the inference process. In our proposed approach, called ComAI, the DNN pipelines of different vision sensors share intermediate processing state with one another, effectively providing hints about objects located within their mutually-overlapping Field-of-Views (FoVs). CoMAI uses two novel techniques: (a) a secondary shallow ML …

Ampsum: Adaptive Multiple-Product Summarization Towards Improving Recommendation Captions, Quoc Tuan Truong, Hady Wirawan Lauw, Changhe Yuan, Jin Li, Jim Chan, Soo-Min Pantel, Hady W. Lauw

Research Collection School Of Computing and Information Systems

In e-commerce websites, multiple related product recommendations are usually organized into “widgets”, each given a name, as a recommendation caption, to describe the products within. These recommendation captions are usually manually crafted and generic in nature, making it difficult to attach meaningful and informative names at scale. As a result, the captions are inadequate in helping customers to better understand the connection between the multiple recommendations and make faster product discovery.We propose an Adaptive Multiple-Product Summarization framework (AmpSum) that automatically and adaptively generates widget captions based on different recommended products. The multiplicity of products to be summarized in a widget …

Victor: An Implicit Approach To Mitigate Misinformation Via Continuous Verification Reading, Kuan-Chieh Lo, Shih-Chieh Dai, Aiping Xiong, Jing Jiang, Lun-Wei Ku

Research Collection School Of Computing and Information Systems

We design and evaluate VICTOR, an easy-to-apply module on top of a recommender system to mitigate misinformation. VICTOR takes an elegant, implicit approach to deliver fake-news verifications, such that readers of fake news can continuously access more verified news articles about fake-news events without explicit correction. We frame fake-news intervention within VICTOR as a graph-based question-answering (QA) task, with Q as a fake-news article and A as the corresponding verified articles. Specifically, VICTOR adopts reinforcement learning: it first considers fake-news readers’ preferences supported by underlying news recommender systems and then directs their reading sequence towards the verified news articles. To …

The Politics Of Bank Opacity, Heng Yue, Liandong Zhang, Qinlin Zhong

Research Collection School Of Accountancy

The distribution of power in the political system shapes the financial reporting opacity of banks. Specifically, banks located in states with senators on the Senate Banking Committee (BC senators) have greater abnormal loan loss provisions than banks in other states. The result is stronger for larger banks and banks with higher risk. In addition, BC senators have a negative effect on the likelihood of banks in their home states receiving enforcement actions, and, more importantly, this effect is stronger for more opaque banks. These findings suggest that politicians, regulators, and banks use opaque financial reporting to facilitate regulatory forbearance. Moreover, …

Non-Gaap Earnings And Stock Price Crash Risk, Charles Hsu, Rencheng Wang, Benjamin C. Whipple

Research Collection School Of Accountancy

We investigate whether non-GAAP earnings disclosures increase stock price crash risk. Consistent with non-GAAP disclosures allowing managers to inflate investors' perceptions about firm performance, our results indicate that income increasing non-GAAP reporting increases crash risk. We also find that managers can use non-GAAP reporting as a substitute for earnings management to withhold bad news from investors (the traditional explanation for crashes). Finally, we find a positive association between non-GAAP reporting and the likelihood of subsequent events that can trigger a crash. Overall, our evidence is consistent with some non-GAAP disclosures exposing investors to risks of large and sudden price declines.(c) …

Chatbot4qr: Interactive Query Refinement For Technical Question Retrieval, Neng Zhang, Qiao Huang, Xin Xia, Ying Zou, David Lo, Zhenchang Xing

Research Collection School Of Computing and Information Systems

Technical Q&A sites (e.g., Stack Overflow(SO)) are important resources for developers to search for knowledge about technical problems. Search engines provided in Q&A sites and information retrieval approaches have limited capabilities to retrieve relevant questions when queries are imprecisely specified, such as missing important technical details (e.g., the user's preferred programming languages). Although many automatic query expansion approaches have been proposed to improve the quality of queries by expanding queries with relevant terms, the information missed is not identified. Moreover, without user involvement, the existing query expansion approaches may introduce unexpected terms and lead to undesired results. In this paper, …

Securead: A Secure Video Anomaly Detection Framework On Convolutional Neural Network In Edge Computing Environment, Hang Cheng, Ximeng Liu, Huaxiong Wang, Yan Fang, Meiqing Wang, Xiaopeng Zhao

Research Collection School Of Computing and Information Systems

Anomaly detection offers a powerful approach to identifying unusual activities and uncommon behaviors in real-world video scenes. At present, convolutional neural networks (CNN) have been widely used to tackle anomalous events detection, which mainly rely on its stronger ability of feature representation than traditional hand-crafted features. However, massive video data and high cost of CNN model training are a challenge to achieve satisfactory detection results for resource-limited users. In this paper, we propose a secure video anomaly detection framework (SecureAD) based on CNN. Specifically, we introduce additive secret sharing to design several calculation protocols for achieving safe CNN training and …

Improving Feature Generalizability With Multitask Learning In Class Incremental Learning, Dong Ma, Chi Ian Tang, Cecilia Mascolo

Research Collection School Of Computing and Information Systems

Many deep learning applications, like keyword spotting [1], [2], require the incorporation of new concepts (classes) over time, referred to as Class Incremental Learning (CIL). The major challenge in CIL is catastrophic forgetting, i.e., preserving as much of the old knowledge as possible while learning new tasks. Various techniques, such as regularization, knowledge distillation, and the use of exemplars, have been proposed to resolve this issue. However, prior works primarily focus on the incremental learning step, while ignoring the optimization during the base model training. We hypothesise that a more transferable and generalizable feature representation from the base model would …

A Framework For Understanding The Taxation Of Digital Tokens, Vincent Ooi

Research Collection Yong Pung How School Of Law

As a relatively new area, the taxation of digital tokens can give rise to several dangerous misconceptions. This article lays out five propositions to counter these misconceptions: 1) digital tokens are not a single monolithic asset class attracting uniform tax treatment; 2) the common trichotomous division of digital tokens into payment, utility and security tokens is derived from securities regulation and should not be blindly adopted into tax law; 3) the three classes are not mutually exclusive and hybrid tokens may exist; 4) the fact that an asset is a digital token rarely changes its tax treatment by itself, which …

Learning Scenario Representation For Solving Two-Stage Stochastic Integer Programs, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang

Research Collection School Of Computing and Information Systems

Many practical combinatorial optimization problems under uncertainty can be modeled as stochastic integer programs (SIPs), which are extremely challenging to solve due to the high complexity. To solve two-stage SIPs efficiently, we propose a conditional variational autoencoder (CVAE) based method to learn scenario representation for a class of SIP instances. Specifically, we design a graph convolutional network based encoder to embed each scenario with the deterministic part of its instance (i.e. context) into a low-dimensional latent space, from which a decoder reconstructs the scenario from its latent representation conditioned on the context. Such a design effectively captures the dependencies of …

Resil: Revivifying Function Signature Inference Using Deep Learning With Domain-Specific Knowledge, Yan Lin, Debin Gao, David Lo

Research Collection School Of Computing and Information Systems

Function signature recovery is important for binary analysis and security enhancement, such as bug finding and control-flow integrity enforcement. However, binary executables typically have crucial information vital for function signature recovery stripped off during compilation. To make things worse, recent studies show that many compiler optimization strategies further complicate the recovery of function signatures with intended violations to function calling conventions.In this paper, we first perform a systematic study to quantify the extent to which compiler optimizations (negatively) impact the accuracy of existing deep learning techniques for function signature recovery. Our experiments show that a state-of-the-art deep learning technique has …

Asteroids: Exploring Swarms Of Mini-Telepresence Robots For Physical Skill Demonstration, Jiannan Li, Maurício Sousa, Chu Li, Jessie Liu, Yan Chen, Ravin Balakrishnan, Tovi Grossman

Research Collection School Of Computing and Information Systems

Online synchronous tutoring allows for immediate engagement between instructors and audiences over distance. However, tutoring physical skills remains challenging because current telepresence approaches may not allow for adequate spatial awareness, viewpoint control of the demonstration activities scattered across an entire work area, and the instructor’s sufficient awareness of the audience. We present Asteroids, a novel approach for tangible robotic telepresence, to enable workbench-scale physical embodiments of remote people and tangible interactions by the instructor. With Asteroids, the audience can actively control a swarm of mini-telepresence robots, change camera positions, and switch to other robots’ viewpoints. Demonstrators can perceive the audiences’ …

Immersivepov: Filming How-To Videos With A Head-Mounted 360° Action Camera, Kevin Huang, Jiannan Li, Maurício Sousa, Tovi Grossman

Research Collection School Of Computing and Information Systems

How-to videos are often shot using camera angles that may not be optimal for learning motor tasks, with a prevalent use of third-person perspective. We present immersivePOV, an approach to film how-to videos from an immersive first-person perspective using a head-mounted 360° action camera. immersivePOV how-to videos can be viewed in a Virtual Reality headset, giving the viewer an eye-level viewpoint with three Degrees of Freedom. We evaluated our approach with two everyday motor tasks against a baseline first-person perspective and a third-person perspective. In a between-subjects study, participants were assigned to watch the task videos and then replicate the …

Verifiable Searchable Encryption Framework Against Insider Keyword-Guessing Attack In Cloud Storage, Yinbin Miao, Robert H. Deng, Kim-Kwang Raymond Choo, Ximeng Liu, Hongwei Li

Research Collection School Of Computing and Information Systems

Searchable encryption (SE) allows cloud tenants to retrieve encrypted data while preserving data confidentiality securely. Many SE solutions have been designed to improve efficiency and security, but most of them are still susceptible to insider Keyword-Guessing Attacks (KGA), which implies that the internal attackers can guess the candidate keywords successfully in an off-line manner. Also in existing SE solutions, a semi-honest-but-curious cloud server may deliver incorrect search results by performing only a fraction of retrieval operations honestly (e.g., to save storage space). To address these two challenging issues, we first construct the basic Verifiable SE Framework (VSEF), which can withstand …

Burdening Assignees With Arbitration Agreements Via ‘Conditional Benefits’, Chee Ho Tham

Research Collection Yong Pung How School Of Law

In this article, the author compares two concepts that seek to explain why an assignee of a chose in action may be burdened by an arbitration agreement to which it is not privy. He posits that, of the “conditional benefits” concept and the “subject to equities” principle, the latter provides the better explanation.

Internet Privacy Concerns Revisited: Oversight From Surveillance And Right To Be Forgotten As New Dimensions, Gaurav Bansal, Fiona Fui-Hoon Nah

Research Collection School Of Computing and Information Systems

In the post-Snowden revelation era, concerns related to government surveillance and oversight have come to the forefront. The ability of the Internet to remember “everything” (or forget anything) also raises a privacy concern associated with the right to be forgotten (RTBF). In this paper, we examine the conceptualization of Internet privacy concerns (IPC) by extending Hong and Thong's (2013) model with the addition of two dimensions: oversight (i.e., due to surveillance) and the RTBF. We provide theoretical and empirical evidence for our proposed integrated conceptualization. Data were collected from Amazon's Mechanical Turk and analyzed with structural equation modeling using a …

Information Acquisition And Market Friction, Bo Sang

Dissertations and Theses Collection (Open Access)

My dissertation consists of three papers related to information diversity, acquisition, and asymmetry. One part of the dissertation explores the implications of interactions among different market participants and subsequent price efficiency in the stock market. The empirical findings indicate the information diversity between individuals and institutional investors, as well as an important channel for retail investors to obtain useful information – through insider filings. The remaining part investigates the information asymmetry between issuers and naive investors in the cryptocurrency market. In Chapter 2, I aggregate trading signals from hedge funds and retail investors, in order to examine their information diversity …

Geographical Diversification Revisited: Examining Context To Date And Moderating Effects Of Crisis, Deepika Aniruddha Deshpande

Dissertations and Theses Collection (Open Access)

This study seeks to revalidate existing research insights on the relationship between internationalization and firm performance and to examine the role of the Global Financial Crisis (GFC) as a potential moderator to this relationship. The research uses a longitudinal database of US-listed manufacturing companies over the period 2000-19. It employs a foreign market penetration-based construct as well as a foreign production-based construct of internationalization and uses a fixed effects linear regression model for the analysis.

The study suggests that the relationship between foreign market penetration-based internationalization and firm performance shows a declining trend over the past two decades. This may …

Developing Social Entrepreneurial Intention: An Intervention Study In Thailand, Kanyaporn Skutalakul

Dissertations and Theses Collection (Open Access)

Social entrepreneurs are key players that could potentially create new initiatives and long-term solutions for our world to sustain the predicted forthcoming crises of overconsumption. Our world needs both kinds of entrepreneurship, both social and business, to collaboratively stimulate growth in a more balanced manner; however, the creation of social entrepreneurs at a higher rate of success and diffusion remains a challenge. This research proposed a number of new antecedents of social entrepreneurial intention (SEI) that were suggested by an exploratory study. The research was conducted in the context of Thailand and was designed to investigate the effects of different …

Predicting Success And Failure Factors Of Thai Start-Ups: An Empirical Study Of Start-Up Success And Its Determinants In Thailand, Ajjaree Limpamont

Dissertations and Theses Collection (Open Access)

Innovation is crucial to economic growth in both developed and emerging countries across the world. Its benefits creates impact on individuals, corporate and government stakeholders in improving quality of lives, increasing income levels and boost up economics. While innovations are important, where, and how they are best conceived of, managed, executed, and brought to the society has been of great debate and has attracted a great deal of scholarly inquiry. There have been numerous research findings discussing the wisdom and impact of each of these pathways. While the business start-up is an effective organizational form for harnessing resources and creating …

Testing Theoretical Assumptions Underlying The Relation Between Anxiety, Mind Wandering, And Task-Switching: A Diffusion Model Analysis, Andree Hartanto, Hwajin Yang

Research Collection School of Social Sciences

Despite the well-documented negative effects of anxiety on task-switching (switch costs), few studies have directly tested major theoretical assumptions about (a) the specific processing component of task-switching that is impaired by anxiety, (b) anxious individuals’ strategies during task-switching, and (c) the mediating role of mind wandering in the relation between anxiety and task-switching. We addressed these issues using a stochastic diffusion model analysis and novel thought-probe technique in the task-switching paradigm. Our results suggest that the locus of impaired switch costs under state anxiety lies in the efficiency of task-set reconfiguration and not in proactive interference processing. Moreover, state anxiety …

Executive Function Moderates The Effect Of Reappraisal On Life Satisfaction: A Latent Variable Analysis, Wei Xing Toh, Hwajin Yang

Research Collection School of Social Sciences

Emotion regulation strategies, such as reappraisal and suppression, have been shown to dissimilarly affect life satisfaction. Specifically, reappraisal is linked to higher life satisfaction, while suppression is associated with lower life satisfaction. Less is known, however, about the potential moderators of these established relations. Given that reappraisal and suppression are contingent, in part, on executive function (EF), which comprises a group of adaptive, goal-orientated control processes (i.e., inhibitory control, working memory, and shifting), we explored whether different components of EF could moderate the impact of reappraisal and suppression on life satisfaction. Using latent moderated structural equation analyses, we found that …

Perceptions Of Emotional Functionality: Similarities And Differences Among Dignity, Face, And Honor Cultures, Maitner A.T., Decoster J., Andersson P.A., Eriksson K., Sherbaji S., Giner-Sorolla R., Mackie D.M., Aveyard M., Claypool H.M., Crisp R.J., Gritskov V., Habjan K., Andree Hartanto, Kiyonari T., Kuzminska A.O., Manesi Z., Molho C., Munasinghe A., Peperkoorn L.S., Shiramizu V.

Research Collection School of Social Sciences

Emotions are linked to wide sets of action tendencies, and it can be difficult to predict which specific action tendency will be motivated or indulged in response to individual experiences of emotion. Building on a functional perspective of emotion, we investigate whether anger and shame connect to different behavioral intentions in dignity, face, and honor cultures. Using simple animations that showed perpetrators taking resources from victims, we conducted two studies across eleven countries investigating the extent to which participants expected victims to feel anger and shame, how they thought victims should respond to such violations, and how expectations of emotions …

Breaking The Sound Of Silence: Explication In The Use Of Strategic Silence In Crisis Communication, Pang, A., Yan Jin, Youngji Seo, Sung In Choi, Hui-Xun Teo, Phuong D. Le, Bryan Reber

Research Collection Lee Kong Chian School Of Business

Crises present organizations with the “rhetorical exigency” to enact control. Silence is not an option. This study, as the first empirical examination of Le et al’s (2019) seminal study on silence in crisis communication, examines, first, if silence can be strategically used as a bona fide strategy; second, under what circumstances should silence be broken; and third, when silence is broken, how it affects (a) organizational reputation, (b) societal risk perception, and (c) the publics’ crisis information sharing intention. An online experiment was conducted using a nationally representative sample in the United States. Participants were recruited in 2019 via a …

Borderline Personality Traits And Romantic Relationship Dissolution, Kenneth Tan, Samantha H. Ingram, Laura Anne Lau, Susan South

Research Collection School of Social Sciences

Many studies have found that borderline personality disorder (BPD) is associated with romantic relationship instability, with relationship dissolution being a recurring theme. Scant research, however, has examined the dissolution strategies and post-breakup outcomes for individuals with elevated levels of borderline traits. Findings from two studies revealed that there was an association between BPD criteria and tendency to employ less adaptive dissolution strategies when terminating a relationship. Furthermore, elevated levels of BPD traits were associated with less self-concept clarity and more unwanted pursuit of ex-partners. These findings both provide insight into how individuals with BPD traits experience relationship dissolution and suggest …

Situational Factors Shape Moral Judgments In The Trolley Dilemma In Eastern, Southern, And Western Countries In A Culturally Diverse Sample, Bence Bago, Andree Hartanto, Lucas E. Tiong

Research Collection School of Social Sciences

The study of moral judgements often centres on moral dilemmas in which options consistent with deontological perspectives (that is, emphasizing rules, individual rights and duties) are in conflict with options consistent with utilitarian judgements (that is, following the greater good based on consequences). Greene et al. (2009) showed that psychological and situational factors (for example, the intent of the agent or the presence of physical contact between the agent and the victim) can play an important role in moral dilemma judgements (for example, the trolley problem). Our knowledge is limited concerning both the universality of these effects outside the United …

Low-Cost Thermohygrometers To Assess Thermal Comfort In The Built Environment: A Laboratory Evaluation Of Their Measurement Performance, Francesco Salamone, Giorgia Chinazzo, Ludovico Danza, Clayton Miller, Sergio Sibilio, Massimiliano Masullo

Research Collection College of Integrative Studies

A thermohygrometer is an instrument that is able to measure relative humidity and air temperature, which are two of the fundamental parameters to estimate human thermal comfort. To date, the market offers small and low-cost solutions for this instrument, providing the opportunity to bring electronics closer to the end-user and contributing to the proliferation of a variety of applications and open-source projects. One of the most critical aspects of using low-cost instruments is their measurement reliability. This study aims to determine the measurement performance of seven low-cost thermohygrometers throughout a 10-fold repeatability test in a climatic chamber with air temperatures …

Trust Building Within And Across Cultures: A Study Of Guinea, Xiushun Sun

Dissertations and Theses Collection (Open Access)

With the development of African economy and the increasing Chinese MNCs operating in Africa, there is a need to have a better understanding of the trust relationships between Chinese expatriates and African HCNs in the organizational environment. We adopt both qualitative and quantitative approaches to understand the trust relationships between Chinese supervisors, Guinea supervisors and Guinea subordinates in a Chinese MNC’s subsidiary in Guinea, compare the difference within culture and across culture, and examine how the interpersonal trust and the trust in the organization affect employees’ job performance. In study 1, semi-structured interviews were conducted with 19 Chinese supervisors, 20 …

Innovation Strategies In Chinese Smes: An Examination Of The Role Of Family Ownership, And The Social Identity And Regulatory Focus Of Ceos, Tiejiong Fan

Dissertations and Theses Collection (Open Access)

Since the reform and opening up, China’s family enterprises have developed rapidly and some family enterprises have entered the period of intergenerational inheritance which may experience some organizational turbulence and face great uncertainty. Meanwhile, more and more CEOs of Chinese enterprises realize that innovation has become the driving force for the transformation and upgrading of SMEs. So, during the intergenerational inheritance and afterwards, whether CEOs of family enterprises make the same decision on innovation strategy as CEOs of non-family enterprises? Whether the second generation CEOs of family enterprises make the same decision on innovation strategy as the founders of family …

Essays On Status Dynamics In Collectivistic Institutions, Eugene Yi Cheong Tung

Dissertations and Theses Collection (Open Access)

The essays reflect on the relationship between status hierarchies and institutional changes. In the course of accumulating social resources, high status actors lead and become the change in the institution; the relationship between the leaders and their communities is especially fascinating. A theory is proposed to explain the general patterns of status dynamics and an empirical test is conducted to partially test the theorized social relationships. This study highlights the strength of social governance in ensuring collective well-being in the course of never-ending changes in the institution.