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Compressing Pre-Trained Models Of Code Into 3 Mb, Jieke Shi, Zhou Yang, Bowen Xu, Hong Jin Kang, David Lo Oct 2022

Compressing Pre-Trained Models Of Code Into 3 Mb, Jieke Shi, Zhou Yang, Bowen Xu, Hong Jin Kang, David Lo

Research Collection School Of Computing and Information Systems

Although large pre-trained models of code have delivered significant advancements in various code processing tasks, there is an impediment to the wide and fluent adoption of these powerful models in software developers’ daily workflow: these large models consume hundreds of megabytes of memory and run slowly on personal devices, which causes problems in model deployment and greatly degrades the user experience. It motivates us to propose Compressor, a novel approach that can compress the pre-trained models of code into extremely small models with negligible performance sacrifice. Our proposed method formulates the design of tiny models as simplifying the pre-trained model …

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Generic Conversions From Cpa To Cca Without Ciphertext Expansion For Threshold Abe With Constant-Size Ciphertexts, J Lai, F Guo, W Susilo, P Jiang, Guomin Yang, X. Huang Oct 2022

Generic Conversions From Cpa To Cca Without Ciphertext Expansion For Threshold Abe With Constant-Size Ciphertexts, J Lai, F Guo, W Susilo, P Jiang, Guomin Yang, X. Huang

Research Collection School Of Computing and Information Systems

CCA security is desirable when designing encryption schemes because it captures active attackers. One efficient approach for achieving CCA security is to use generic conversions. We first design a CPA secure scheme, and then transform it into a CCA secure scheme using the Fujisaki-Okamoto technique (CRYPTO ’99) in the random oracle model or the Canetti-Halevi-Katz technique (EUROCRYPT ’04) in the standard model if the CPA secure scheme satisfies some conditions. These transformations are generic so they can be applied to encryption primitives such as IBE and ABE. Nevertheless, both techniques result in an inevitable ciphertext expansion. Subsequent generic constructions mainly …

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Transplantfix: Graph Differencing-Based Code Transplantation For Automated Program Repair, Deheng Yang, Xiaoguang Mao, Liqian Chen, Xuezheng Xu, Yan Lei, David Lo, Jiayu He Oct 2022

Transplantfix: Graph Differencing-Based Code Transplantation For Automated Program Repair, Deheng Yang, Xiaoguang Mao, Liqian Chen, Xuezheng Xu, Yan Lei, David Lo, Jiayu He

Research Collection School Of Computing and Information Systems

Automated program repair (APR) holds the promise of aiding manual debugging activities. Over a decade of evolution, a broad range of APR techniques have been proposed and evaluated on a set of real-world bug datasets. However, while more and more bugs have been correctly fixed, we observe that the growth of newly fixed bugs by APR techniques has hit a bottleneck in recent years. In this work, we explore the possibility of addressing complicated bugs by proposing TransplantFix, a novel APR technique that leverages graph differencing-based transplantation from the donor method. The key novelty of TransplantFix lies in three aspects: …

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Lawbreaker: An Approach For Specifying Traffic Laws And Fuzzing Autonomous Vehicles, Yang Sun, Christopher M. Poskitt, Jun Sun, Yuqi Chen, Zijiang Yang Oct 2022

Lawbreaker: An Approach For Specifying Traffic Laws And Fuzzing Autonomous Vehicles, Yang Sun, Christopher M. Poskitt, Jun Sun, Yuqi Chen, Zijiang Yang

Research Collection School Of Computing and Information Systems

Autonomous driving systems (ADSs) must be tested thoroughly before they can be deployed in autonomous vehicles. High-fidelity simulators allow them to be tested against diverse scenarios, including those that are difficult to recreate in real-world testing grounds. While previous approaches have shown that test cases can be generated automatically, they tend to focus on weak oracles (e.g. reaching the destination without collisions) without assessing whether the journey itself was undertaken safely and satisfied the law. In this work, we propose LawBreaker, an automated framework for testing ADSs against real-world traffic laws, which is designed to be compatible with different scenario …

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Improving Knowledge-Aware Recommendation With Multi-Level Interactive Contrastive Learning, Ding Zou, Wei Wei, Ziyang Wang, Xian-Ling Mao, Feida Zhu, Rui Fang, Dangyang Chen Oct 2022

Improving Knowledge-Aware Recommendation With Multi-Level Interactive Contrastive Learning, Ding Zou, Wei Wei, Ziyang Wang, Xian-Ling Mao, Feida Zhu, Rui Fang, Dangyang Chen

Research Collection School Of Computing and Information Systems

Incorporating Knowledge Graphs (KG) into recommeder system as side information has attracted considerable attention. Recently, the technical trend of Knowledge-aware Recommendation (KGR) is to develop end-to-end models based on graph neural networks (GNNs). However, the extremely sparse user-item interactions significantly degrade the performance of the GNN-based models, from the following aspects: 1) the sparse interaction, itself, means inadequate supervision signals and limits the supervised GNN-based models; 2) the combination of sparse interactions (CF part) and redundant KG facts (KG part) further results in an unbalanced information utilization. Besides, the GNN paradigm aggregates local neighbors for node representation learning, while ignoring …

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Right To Know, Right To Refuse: Towards Ui Perception-Based Automated Fine-Grained Permission Controls For Android Apps, Vikas Kumar Malviya, Chee Wei Leow, Ashok Kasthuri, Naing Tun Yan, Lwin Khin Shar, Lingxiao Jiang Oct 2022

Right To Know, Right To Refuse: Towards Ui Perception-Based Automated Fine-Grained Permission Controls For Android Apps, Vikas Kumar Malviya, Chee Wei Leow, Ashok Kasthuri, Naing Tun Yan, Lwin Khin Shar, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

It is the basic right of a user to know how the permissions are used within the Android app’s scope and to refuse the app if granted permissions are used for the activities other than specified use which can amount to malicious behavior. This paper proposes an approach and a vision to automatically model the permissions necessary for Android apps from users’ perspective and enable fine-grained permission controls by users, thus facilitating users in making more well-informed and flexible permission decisions for different app functionalities, which in turn improve the security and data privacy of the App and enforce apps …

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Social Access And Representation For Autistic Adult Livestreamers, Terrance Mok, Anthony Tang, Adam Mccrimmon, Lora Oehlberg Oct 2022

Social Access And Representation For Autistic Adult Livestreamers, Terrance Mok, Anthony Tang, Adam Mccrimmon, Lora Oehlberg

Research Collection School Of Computing and Information Systems

We interviewed 10 autistic livestreamers to understand their motivations for livestreaming on Twitch. Our participants explained that streaming helped them fulfill social desires by: supporting them in making meaningful social connections with others; giving them a safe space to practice social skills like “small talk”; and empowering them to be autistic role models and to share their true selves. This work offers an early report on how autistic individuals leverage livestreaming as a beneficial social platform while struggling with audience expectations.

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Cvfnet: Real-Time 3d Object Detection By Learning Cross View Features, Jiaqi Gu, Zhiyu Xiang, Pan Zhao, Tingming Bai, Lingxuan Wang, Xijun Zhao, Zhiyuan Zhang Oct 2022

Cvfnet: Real-Time 3d Object Detection By Learning Cross View Features, Jiaqi Gu, Zhiyu Xiang, Pan Zhao, Tingming Bai, Lingxuan Wang, Xijun Zhao, Zhiyuan Zhang

Research Collection School Of Computing and Information Systems

In recent years 3D object detection from LiDAR point clouds has made great progress thanks to the development of deep learning technologies. Although voxel or point based methods are popular in 3D object detection, they usually involve time-consuming operations such as 3D convolutions on voxels or ball query among points, making the resulting network inappropriate for time critical applications. On the other hand, 2D view-based methods feature high computing efficiency while usually obtaining inferior performance than the voxel or point based methods. In this work, we present a real-time view-based single stage 3D object detector, namely CVFNet to fulfill this …

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The Role Of Internalized Homophobia On Conflict Resolution In Same-Sex Couples, Micaela Dawn Magee Oct 2022

The Role Of Internalized Homophobia On Conflict Resolution In Same-Sex Couples, Micaela Dawn Magee

Theses and Dissertations

A majority of LGBTQ+ members experience sexual minority stress on a near daily basis (Sue et al., 2007). These stressors may foster higher rates of internalized shame towards one’s sexual orientation, commonly known as internalized homophobia (Frost & Meyer, 2009; Khaddouma et al., 2015; Meyer, 2013). Internalized homophobia has been found to negatively impact both mental health outcomes and relationship satisfaction in same-sex couples (Frost & Meyer, 2009; Totenhagen et al., 2018). Higher rates of internalized shame about one’s sexuality may in turn increase relational conflict (Frost & Meyer, 2009; Mohr & Fassinger, 2006). Despite the growing amount of research …

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Helpful Or Harmful: The Impact Of Shame And Guilt On Concealment In Adulthood Following Childhood Trauma, Xiomara Vanessa Senior Oct 2022

Helpful Or Harmful: The Impact Of Shame And Guilt On Concealment In Adulthood Following Childhood Trauma, Xiomara Vanessa Senior

Theses and Dissertations

The current study aimed to examine the moderating role of shame and guilt in the associations between types of childhood maltreatment and levels of self-concealment. Childhood maltreatment has been linked to emotions such as shame and guilt that elicit schemas of self-doubt, incompetence, and failure (Cohen et al., (2011). When an individual internalizes these thoughts and emotions, they may act in maladaptive ways such as avoidance, fear, dissociation, and possible concealment within adulthood (Dorahy & Clearwater, 2012, Smetana et al., 2019). De Seve et al. (2020) recently found that shame proved to be a mediator in the relationship between self-concealment …

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An Examination Of Minnesota Multiphasic Personality Inventory-3 (Mmpi-3) Profiles Of International Saudi Arabian College Students, Emily Alyssa Leonard Oct 2022

An Examination Of Minnesota Multiphasic Personality Inventory-3 (Mmpi-3) Profiles Of International Saudi Arabian College Students, Emily Alyssa Leonard

Theses and Dissertations

Research has shown that culture can contribute to differences in personality and shape the way individuals perceive and function in the world. International students are among those affected by cultural differences as they arrive in a new country and go through a period of adjustment. Saudi Arabian students currently make up a large proportion of international students in the United States. Due to wide-spread prejudiced American beliefs about Middle Easterners, they may be exposed to higher levels of discrimination, which can contribute to adjustment problems and increased levels of distress. As a result, some of these students may seek out …

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The Impact Of Arrest History And Unemployment On Depression And Anxiety, Jennifer Alexis Beard Oct 2022

The Impact Of Arrest History And Unemployment On Depression And Anxiety, Jennifer Alexis Beard

Theses and Dissertations

Literature has shown that individuals who have been incarcerated have difficulty in obtaining jobs after incarceration; therefore, ex-convicts are predicted to have an increased rate of depression and anxiety symptoms as opposed to the overall general public. However, little literature supports this theory, and little to no literature has been published with regards to individuals who have been apprehended. This study investigates the depression and anxiety levels of those who have an arrest record and have difficulty maintaining or finding employment. The sample’s arrest history and unemployment history were measured through self-reporting measures. Additionally, depression was measured through Beck’s Depression …

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Examining Executive Dysfunction In Dementia: Vascular Etiology As A Contributor To Greater Impairment, Julianne Szemko Oct 2022

Examining Executive Dysfunction In Dementia: Vascular Etiology As A Contributor To Greater Impairment, Julianne Szemko

Theses and Dissertations

Objective: The present study examines executive functioning and overall neuropsychological functioning within a memory disorder clinic population with a specific focus on examining performance on the Modified Wisconsin Card Sorting Test (M-WCST) among individuals with and without cerebrovascular disease. Method: This study utilized test data collected between 2018-2022 from the research database at the Health First Memory Disorder Clinic (HFMDC) in Melbourne, Florida. Participants were included if they completed a brief neuropsychological evaluation (BNE) at the HFMDC with the M-WCST, Trail Making Test - Form B (TMT-B), and Color/Word subtest of the Golden Stroop as part of their battery and …

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Use Of The Social Cognition And Object Relations Scale-Global To Evaluate The Impact Of Parental Divorce On College Students’ Interpersonal Functioning, Rachel Davenport Oct 2022

Use Of The Social Cognition And Object Relations Scale-Global To Evaluate The Impact Of Parental Divorce On College Students’ Interpersonal Functioning, Rachel Davenport

Theses and Dissertations

Research has shown parental divorce to have long-term impacts on various domains of children’s interpersonal functioning, extending into young adulthood and beyond. The purpose of this study was to assess the potential impacts of parental divorce in college students using the Social Cognition and Object Relations Scale-Global (SCORS-G) with narratives derived from the Thematic Apperception Test (TAT). SCORS-G variables of interest included composite, factor, and dimension scores. Two additional measures of rejection sensitivity, which has been shown to be impacted by parental divorce, and perceived social support, which may mitigate maladaptive outcomes in interpersonal functioning, were also examined. The primary …

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Radiofrequency Ablation Of Indeterminate Thyroid Nodules: The First North American Comparative Analysis, Peter P. Issa, Mahmoud Omar, Chad P. Issa, Yusef Buti, Mohammad Hussein, Mohamed Aboueisha, Ali Abdelhady, Mohamed Shama, Grace S. Lee, Eman Toraih, Emad Kandil Oct 2022

Radiofrequency Ablation Of Indeterminate Thyroid Nodules: The First North American Comparative Analysis, Peter P. Issa, Mahmoud Omar, Chad P. Issa, Yusef Buti, Mohammad Hussein, Mohamed Aboueisha, Ali Abdelhady, Mohamed Shama, Grace S. Lee, Eman Toraih, Emad Kandil

School of Medicine Faculty Publications

Thyroid nodules can be classified as benign, malignant, or indeterminate, the latter of which make up 10–30% of nodules. Radiofrequency ablation (RFA) has become an attractive and promising therapy for the treatment of benign thyroid nodules. However, few studies have investigated the safety and efficacy of RFA for the management of indeterminate thyroid nodules. In this study, 178 patients with thyroid nodules diagnosed as benign (Bethesda II) or indeterminate (Bethesda III/IV) by preoperative cytopathological analysis were included. Patients in the benign and indeterminate cohorts had similar thyroid nodule volume reduction rates at 65.60% and 64.20%, respectively (p = 0.68). The …

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When Tensions Become Opportunities: Managing Accountability Demands In Collaborative Governance, Seulki Lee Oct 2022

When Tensions Become Opportunities: Managing Accountability Demands In Collaborative Governance, Seulki Lee

Research Collection School of Social Sciences

Accountability in collaborative governance comprises a tangled web of vertical and horizontal accountability relationships. While different accountability mechanisms are apparently complementary, they also clash with each other, producing serious accountability tensions. This study explores how actors in collaborative governance experience and manage conflicting accountability demands in the context of a Korean interorganizational network. Using qualitative data based on in-depth interviews with 32 personnel across 10 organizations and document analysis, the study identifies different types of accountability tensions and actors’ strategic responses to them. The analysis reveals that accountability tensions vary across the sources of the demand, and they are more …

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Looking Beyond The 'Middle Class' For Other Chinas, Qian Forrest Zhang Oct 2022

Looking Beyond The 'Middle Class' For Other Chinas, Qian Forrest Zhang

Research Collection School of Social Sciences

There are high hopes for China’s middle class. Thanks to their rising disposable income, this group of Chinese is expected to unleash a consumer revolution in the domestic market. However, I argue that the ‘middle class’ as a concept provides at best a partial understanding of the Chinese consumer population; at worst, it can even provide a misleading perspective that brings us to erroneous conclusions about its profile and size. Instead, I propose the notion of ‘three Chinas’ as an alternative way to make sense of China’s consumers. ‘First China’ comprises residents in medium and large-sized cities, ‘Second China’ consists …

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Structured Reflection Increases Intentions To Reduce Other People’S Health Risks During Covid-19, Jairo Ramos, Marrissa D. Grant, Stephan Dickert, Kimin Eom, Alex Flores, Gabriela M. Jiga-Boy, Tehila Kogut, Marcus Mayorga, Eric J. Pedersen, Beatriz Pereira, Enrico Rubaltelli, K Sherman David, Paul Slovic, Västjäll. Daniel, Leaf Van Boven Oct 2022

Structured Reflection Increases Intentions To Reduce Other People’S Health Risks During Covid-19, Jairo Ramos, Marrissa D. Grant, Stephan Dickert, Kimin Eom, Alex Flores, Gabriela M. Jiga-Boy, Tehila Kogut, Marcus Mayorga, Eric J. Pedersen, Beatriz Pereira, Enrico Rubaltelli, K Sherman David, Paul Slovic, Västjäll. Daniel, Leaf Van Boven

Research Collection School of Social Sciences

People believe they should consider how their behavior might negatively impact other people, Yet their behavior often increases others’ health risks. This creates challenges for managing public health crises like the COVID-19 pandemic. We examined a procedure wherein people reflect on their personal criteria regarding how their behavior impacts others’ health risks. We expected structured reflection to increase people's intentions and decisions to reduce others’ health risks. Structured reflection increases attention to others’ health risks and the correspondence between people's personal criteria and behavioral intentions. In four experiments during COVID-19, people (N = 12,995) reported their personal criteria about how …

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Geopolitical Geometries In China-Russia Relations, William A. Callahan Oct 2022

Geopolitical Geometries In China-Russia Relations, William A. Callahan

Research Collection School of Social Sciences

Strategists in Beijing tend to think of geopolitics in terms of geometries, especially strategic triangles and the concentric circles of tianxia (“all under heaven”).China’s strategic triangles should be understood as United Front Work, which are intended to join with one group of ‘friends’ to isolate and attack another group of ‘enemies’.Both China and Russia present their own models of global concentric circles. Here China and Russia are each at the centre of their own world orders, and each is at the periphery of the other’s, which eventually will lead to conflict.

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Taming Multi-Output Recommenders For Software Engineering, Christoph Treude Oct 2022

Taming Multi-Output Recommenders For Software Engineering, Christoph Treude

Research Collection School Of Computing and Information Systems

Recommender systems are a valuable tool for software engineers. For example, they can provide developers with a ranked list of files likely to contain a bug, or multiple auto-complete suggestions for a given method stub. However, the way these recommender systems interact with developers is often rudimentary—a long list of recommendations only ranked by the model’s confidence. In this vision paper, we lay out our research agenda for re-imagining how recommender systems for software engineering communicate their insights to developers. When issuing recommendations, our aim is to recommend diverse rather than redundant solutions and present them in ways that highlight …

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Dualformer: Local-Global Stratified Transformer For Efficient Video Recognition, Yuxuan Liang, Pan Zhou, Roger Zimmermann, Shuicheng Yan Oct 2022

Dualformer: Local-Global Stratified Transformer For Efficient Video Recognition, Yuxuan Liang, Pan Zhou, Roger Zimmermann, Shuicheng Yan

Research Collection School Of Computing and Information Systems

While transformers have shown great potential on video recognition with their strong capability of capturing long-range dependencies, they often suffer high computational costs induced by the self-attention to the huge number of 3D tokens. In this paper, we present a new transformer architecture termed DualFormer, which can efficiently perform space-time attention for video recognition. Concretely, DualFormer stratifies the full space-time attention into dual cascaded levels, i.e., to first learn fine-grained local interactions among nearby 3D tokens, and then to capture coarse-grained global dependencies between the query token and global pyramid contexts. Different from existing methods that apply space-time factorization or …

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Self-Promoted Supervision For Few-Shot Transformer, Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo Oct 2022

Self-Promoted Supervision For Few-Shot Transformer, Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo

Research Collection School Of Computing and Information Systems

The few-shot learning ability of vision transformers (ViTs) is rarely investigated though heavily desired. In this work, we empirically find that with the same few-shot learning frameworks, e.g. MetaBaseline, replacing the widely used CNN feature extractor with a ViT model often severely impairs few-shot classification performance. Moreover, our empirical study shows that in the absence of inductive bias, ViTs often learn the low-qualified token dependencies under few-shot learning regime where only a few labeled training data are available, which largely contributes to the above performance degradation. To alleviate this issue, for the first time, we propose a simple yet effective …

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Video Graph Transformer For Video Question Answering, Junbin Xiao, Pan Zhou, Tat-Seng Chua, Shuicheng Yan Oct 2022

Video Graph Transformer For Video Question Answering, Junbin Xiao, Pan Zhou, Tat-Seng Chua, Shuicheng Yan

Research Collection School Of Computing and Information Systems

This paper proposes a Video Graph Transformer (VGT) model for Video Quetion Answering (VideoQA). VGT’s uniqueness are two-fold: 1) it designs a dynamic graph transformer module which encodes video by explicitly capturing the visual objects, their relations, and dynamics for complex spatio-temporal reasoning; and 2) it exploits disentangled video and text Transformers for relevance comparison between the video and text to perform QA, instead of entangled crossmodal Transformer for answer classification. Vision-text communication is done by additional cross-modal interaction modules. With more reasonable video encoding and QA solution, we show that VGT can achieve much better performances on VideoQA tasks …

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Unsupervised Video Hashing With Multi-Granularity Contextualization And Multi-Structure Preservation, Yanbin Hao, Jingru Duan, Hao Zhang, Bin Zhu, Pengyuan Zhou, Xiangnan He Oct 2022

Unsupervised Video Hashing With Multi-Granularity Contextualization And Multi-Structure Preservation, Yanbin Hao, Jingru Duan, Hao Zhang, Bin Zhu, Pengyuan Zhou, Xiangnan He

Research Collection School Of Computing and Information Systems

Unsupervised video hashing typically aims to learn a compact binary vector to represent complex video content without using manual annotations. Existing unsupervised hashing methods generally suffer from incomplete exploration of various perspective dependencies (e.g., long-range and short-range) and data structures that exist in visual contents, resulting in less discriminative hash codes. In this paper, we propose aMulti-granularity Contextualized and Multi-Structure preserved Hashing (MCMSH) method, exploring multiple axial contexts for discriminative video representation generation and various structural information for unsupervised learning simultaneously. Specifically, we delicately design three self-gating modules to separately model three granularities of dependencies (i.e., long/middle/short-range dependencies) and densely …

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Mix-Dann And Dynamic-Modal-Distillation For Video Domain Adaptation, Yuehao Yin, Bin Zhu, Jingjing Chen, Lechao Cheng, Yu-Gang Jiang Oct 2022

Mix-Dann And Dynamic-Modal-Distillation For Video Domain Adaptation, Yuehao Yin, Bin Zhu, Jingjing Chen, Lechao Cheng, Yu-Gang Jiang

Research Collection School Of Computing and Information Systems

Video domain adaptation is non-trivial due to video is inherently involved with multi-dimensional and multi-modal information. Existing works mainly adopt adversarial learning and self-supervised tasks to align features. Nevertheless, the explicit interaction between source and target in the temporal dimension, as well as the adaptation between modalities, are unexploited. In this paper, we propose Mix-Domain-Adversarial Neural Network and Dynamic-Modal-Distillation (MD-DMD), a novel multi-modal adversarial learning framework for unsupervised video domain adaptation. Our approach incorporates the temporal information between source and target domains, as well as the diversity of adaptability between modalities. On the one hand, for every single modality, we …

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Toward Personalized Answer Generation In E-Commerce Via Multi-Perspective Preference Modeling, Yang Deng, Yaliang Li, Wenxuan Zhang, Bolin Ding, Wai Lam Oct 2022

Toward Personalized Answer Generation In E-Commerce Via Multi-Perspective Preference Modeling, Yang Deng, Yaliang Li, Wenxuan Zhang, Bolin Ding, Wai Lam

Research Collection School Of Computing and Information Systems

Recently, Product Question Answering (PQA) on E-Commerce platforms has attracted increasing attention as it can act as an intelligent online shopping assistant and improve the customer shopping experience. Its key function, automatic answer generation for product-related questions, has been studied by aiming to generate content-preserving while question-related answers. However, an important characteristic of PQA, i.e., personalization, is neglected by existing methods. It is insufficient to provide the same “completely summarized” answer to all customers, since many customers are more willing to see personalized answers with customized information only for themselves, by taking into consideration their own preferences toward product aspects …

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Sustaining Patient Portal Continuous Use Intention And Enhancing Deep Structure Usage: Cognitive Dissonance Effects Of Health Professional Encouragement And Security Concerns, Murad Moqbel, Barbara Hewitt, Fiona Fui-Hoon Nah, Rosann M. Mclean Oct 2022

Sustaining Patient Portal Continuous Use Intention And Enhancing Deep Structure Usage: Cognitive Dissonance Effects Of Health Professional Encouragement And Security Concerns, Murad Moqbel, Barbara Hewitt, Fiona Fui-Hoon Nah, Rosann M. Mclean

Research Collection School Of Computing and Information Systems

Sustaining patient portal use is a major problem for many healthcare organizations and providers. If this problem can be successfully addressed, it could have a positive impact on various stakeholders. Through the lens of cognitive dissonance theory, this study investigates the role of health professional encouragement as well as patients’ security concerns in influencing continuous use intention and deep structure usage among users of a patient portal. The analysis of data collected from 177 patients at a major medical center in the Midwestern region of the United States shows that health professional encouragement helps increase the continuous use intention and …

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Towards Robust Models Of Code Via Energy-Based Learning On Auxiliary Datasets, Duy Quoc Nghi Bui, Yijun Yu Oct 2022

Towards Robust Models Of Code Via Energy-Based Learning On Auxiliary Datasets, Duy Quoc Nghi Bui, Yijun Yu

Research Collection School Of Computing and Information Systems

Existing approaches to improving the robustness of source code models concentrate on recognizing adversarial samples rather than valid samples that fall outside of a given distribution, which we refer to as out-of-distribution (OOD) samples. To this end, we propose to use an auxiliary dataset (out-of-distribution) such that, when trained together with the main dataset, they will enhance the model’s robustness. We adapt energy-bounded learning objective function to assign a higher score to in-distribution samples and a lower score to out-of-distribution samples in order to incorporate such out-of-distribution samples into the training process of source code models. In terms of OOD …

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Codebert For Code Clone Detection: A Replication Study, Saad Arshad, Shamsa Abid, Shafay Shamail Oct 2022

Codebert For Code Clone Detection: A Replication Study, Saad Arshad, Shamsa Abid, Shafay Shamail

Research Collection School Of Computing and Information Systems

Large pre-trained models have dramatically improved the state-of-the-art on a variety of natural language processing (NLP) tasks. CodeBERT is one such pre-trained model for natural language (NL) and programming language (PL) which captures the semantics in natural language and programming language, and produces general-purpose representations. While it has been shown to support natural language code search and code documentation generation tasks, its effectiveness for code clone detection is not explored in depth. In this paper, we aim to replicate and evaluate the performance of CodeBERT for code clone detection on multiple datasets with varying functionalities to understand (1) whether CodeBERT …

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A Comparative Analysis Of Clone Detection Techniques On Semanticclonebench, Sohaib Masood Rabbani, Nabeel Ahmad Gulzar, Saad Arshad, Shamsa Abid, Shafay Shamail Oct 2022

A Comparative Analysis Of Clone Detection Techniques On Semanticclonebench, Sohaib Masood Rabbani, Nabeel Ahmad Gulzar, Saad Arshad, Shamsa Abid, Shafay Shamail

Research Collection School Of Computing and Information Systems

Semantic code clone detection involves the detection of functionally similar code fragments which may otherwise be lexically, syntactically, or structurally dissimilar. The detection of semantic code clones has important applications in aspect mining and product line analysis. The accurate detection of semantic code clones is a challenging task and various techniques have been proposed. However, the evaluation of these techniques is performed using various datasets and we do not have a clear picture of the performance of these techniques relative to each other. Recently, SemanticCloneBench has been introduced as a benchmark for semantic clones. Now, we can use the SemanticCloneBench …

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