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Aamir Shafi - IEEE Xplore Author Profile

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Author details

Aamir Shafi

Also published under: A. Shafi

Publications

57

Citations

255

Publications by Year

20052025

Co-Authors:

Mustafa AbduljabbaiMustafa AbduljabbarHyunho AhnAleem AkhtarKinan Al-Attar

Show All Co-Authors (95)

Aamir Shafi

Also published under: A. Shafi

Affiliation

Department of Computer Science and Engineering

The Ohio State University

Columbus, Ohio, USA

Publication Topics

High-performance Computing,
Message Size,
Message Passing Interface,
Parallel Data,
High-performance Computing Systems,
Deep Learning,
Deep Learning Models,
Deep Neural Network,
Parallel Strategy,
Communication Overhead,
Graphics Processing Unit,
Language Model

Biography

Aamir Shafi is a research scientist at The Ohio State University, Columbus, OH, 43210-1277, USA, where he is involved in the high performance big data and deep learning projects. His research interests include architecting robust communication libraries and tools for HPC systems with emphasis on machine and deep learning applications. Contact him at shafi.16@osu.edu.(Based on document published on 31 January 2023).

Publications

57

Citations

255

Publications by Year

20052025

Co-Authors:

Mustafa Abduljabbai
Mustafa Abduljabbar
Hyunho Ahn
Aleem Akhtar
Kinan Al-Attar

Show All Co-Authors (95)

Author's Published Works

Search History

Showing 1-25 of 26 results

Conferences (14)

Journals (9)

Early Access Articles (3)

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Yu Weng(26)
Zheng Liu(5)
Chaomurilige(4)
Changjun Hu(3)
Xiangyun Tang(3)
School of Information Engineering, Minzu University of China, Beijing, China(7)
College of Information Engineering, Minzu University of China, Beijing, China(3)
School of Computer Engineering and Science, Shanghai University, Shanghai, China(2)
School of Information Engineering, Minzu University of China Beijing, Beijing, China(2)
Minzu University of China, Beijing, CN(2)
IEEE Access(7)
2009 Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing(2)
2012 Fifth International Conference on Intelligent Networks and Intelligent Systems(2)
2013 6th International Conference on Intelligent Networks and Intelligent Systems (ICINIS)(2)
IEEE Transactions on Computational Social Systems(2)
IEEE(26)
Media(1)
Chengdu, China(2)
Guangzhou, China(2)
Shenyang, China(2)
Tianjin, China(2)
Danzhou, China(1)
Convolutional Neural Network(7)
Neural Network(6)
Cloud Computing(4)
Convolutional Layers(4)
Deep Learning(4)

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Results

Enforcing Differential Privacy in Federated Learning via Long-term Contribution Incentives

Xiangyun Tang;Luyao Peng;Yu Weng;Meng Shen;Liehuang Zhu;Robert H. Deng

IEEE Transactions on Information Forensics and Security

Year: 2025 | Early Access Article |

Privacy-preserving Federated Learning (FL) based on Differential Privacy (DP) protects clients’ data by adding DP noise to samples’ gradients and has emerged as a de facto standard for data privacy in FL. However, the accuracy of global models in DP-based FL may be reduced significantly when rogue clients occur who deviate from the preset DP-based FL approaches and selfishly inject excessive DP no...Show More

Enforcing Differential Privacy in Federated Learning via Long-term Contribution Incentives

Xiangyun Tang;Luyao Peng;Yu Weng;Meng Shen;Liehuang Zhu;Robert H. Deng

IEEE Transactions on Information Forensics and Security

Year: 2025 | Early Access Article |

LGVLM-mIoT: A Lightweight Generative Visual-Language Model for Multilingual IoT Applications

Yu Weng;Kunyu Yang;Zheng Liu;Wenbin He;Xiangyun Tang

IEEE Internet of Things Journal

Year: 2025 | Early Access Article |

The demand for edge device models equipped with multilingual visual capabilities is rapidly increasing in complex IoT application scenarios. While many studies have endowed models with strong visual sensory and language analysis capabilities, these models are often large and require substantial amounts of data. Moreover, multilingual parallel corpora are extremely scarce. Although large parameter ...Show More

LGVLM-mIoT: A Lightweight Generative Visual-Language Model for Multilingual IoT Applications

Yu Weng;Kunyu Yang;Zheng Liu;Wenbin He;Xiangyun Tang

IEEE Internet of Things Journal

Year: 2025 | Early Access Article |

Length Controllable Model for Images and Texts Summarization

Yu Weng;Xiangyu Qu;Xuan Liu;Xuming Ye;Zheng Liu;Guixian Xu

2024 IEEE International Conference on Web Services (ICWS)

Year: 2024 | Conference Paper |

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With the proliferating of multimedia data, controllable summarization generation has become a hot spot in Artificial Intelligence Content Generation area. However, some traditional summarization approaches are unable to accurately control the length of summarization resulting in content that is either overly verbose or lacking in information, which makes it difficult to satisfy users’ diverse read...Show More

Length Controllable Model for Images and Texts Summarization

Yu Weng;Xiangyu Qu;Xuan Liu;Xuming Ye;Zheng Liu;Guixian Xu

2024 IEEE International Conference on Web Services (ICWS)

Year: 2024 | Conference Paper |

A Hierarchical Information Compression Approach for Knowledge Discovery From Social Multimedia

Zheng Liu;Yu Weng;Ruiyang Xu;Chaomurilige;Honghao Gao

IEEE Transactions on Computational Social Systems

Year: 2024 | Volume: 11, Issue: 6 | Journal Article |

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Knowledge discovery is an ongoing research endeavor aimed at uncovering valuable insights and patterns from large volumes of data in massive social systems (MSSs). Although recent advances in deep learning have made significant progress in knowledge discovery, the “data dimensionality reduction” problem still poses practical challenges. To address this, we have introduced a hierarchical informatio...Show More

A Hierarchical Information Compression Approach for Knowledge Discovery From Social Multimedia

Zheng Liu;Yu Weng;Ruiyang Xu;Chaomurilige;Honghao Gao

IEEE Transactions on Computational Social Systems

Year: 2024 | Volume: 11, Issue: 6 | Journal Article |

Zero-Shot Cross-Lingual Knowledge Transfer in VQA via Multimodal Distillation

Yu Weng;Jun Dong;Wenbin He;Chaomurilige;Xuan Liu;Zheng Liu;Honghao Gao

IEEE Transactions on Computational Social Systems

Year: 2024 | Early Access Article |

As multilingual artificial intelligence systems proliferate, achieving robust cross-lingual understanding remains an open challenge. Recent works have made progress on visual question answering (VQA) models by pretraining on large English image-text datasets. However, there is a language gap as most models are English-centric. Existing attempts at multilingual VQA rely on machine translation or mu...Show More

Zero-Shot Cross-Lingual Knowledge Transfer in VQA via Multimodal Distillation

Yu Weng;Jun Dong;Wenbin He;Chaomurilige;Xuan Liu;Zheng Liu;Honghao Gao

IEEE Transactions on Computational Social Systems

Year: 2024 | Early Access Article |

A Construction method of Multilingual Comparable Corpus in the background of Artificial Intelligence and Internet of Things

Dong Shumin;Yu Weng;Chaomurilige

2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)

Year: 2023 | Conference Paper |

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Comparable corpus is a critical component in the application of the Artificial intelligence and internet of Things (AfoT). AfoT provides a more extensive data source for corpus, which also presents new requirements and challenges for the construction of comparable corpora in adapting to multilingual application scenarios. To meet the need of it, the comparable corpus plays an essential part of res...Show More

A Construction method of Multilingual Comparable Corpus in the background of Artificial Intelligence and Internet of Things

Dong Shumin;Yu Weng;Chaomurilige

2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)

Year: 2023 | Conference Paper |

An Efficient Machine-Generated Data Modeling Approach Based on Domain-Aware Knowledge for Intelligent Consumer Electronics

Zheng Liu;Yu Weng;Ruiyang Xu;Chaomurilige;Jung Yoon Kim

IEEE Transactions on Consumer Electronics

Year: 2023 | Volume: 69, Issue: 4 | Journal Article |

Cited by: Papers (6)

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Data modeling is a critical component in the development of next-generation consumer electronics (CE), as it provides massive data support to implement smart services related to CE products, such as complex correlation analysis of the CE market, the development of technology, and consumer behaviors. However, the existing works still face the following challenges: (1) the manual data processing is ...Show More

An Efficient Machine-Generated Data Modeling Approach Based on Domain-Aware Knowledge for Intelligent Consumer Electronics

Zheng Liu;Yu Weng;Ruiyang Xu;Chaomurilige;Jung Yoon Kim

IEEE Transactions on Consumer Electronics

Year: 2023 | Volume: 69, Issue: 4 | Journal Article |

Exploring the Impact of Non-IID on Federated Learning

Minyang Li;Xiangyun Tang;Siru Chen;Yu Weng;Luyao Peng;Wen Yang

2023 International Conference on Blockchain Technology and Information Security (ICBCTIS)

Year: 2023 | Conference Paper |

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In the past few years, the growing problem of data silos has given rise to an emerging framework for distributed deep learning: Federated learning. The framework enables the construction of global models across multiple participants without the need for directly sharing raw data. However, because the environments oriented towards Federated learning are usually complex and heterogeneous, resulting ...Show More

Exploring the Impact of Non-IID on Federated Learning

Minyang Li;Xiangyun Tang;Siru Chen;Yu Weng;Luyao Peng;Wen Yang

2023 International Conference on Blockchain Technology and Information Security (ICBCTIS)

Year: 2023 | Conference Paper |

Theoretical derivation of super-resolution sub-image stitching based on method of Lagrangian multipliers

Yu Weng;Tong Zhou

2022 2nd International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI)

Year: 2022 | Conference Paper |

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Researchers found that different regions in low-resolution (LR) images present different restoration difficulties. For large or small scales, a unified super-resolution (SR) network (large/small) will either waste computing resources and hardware resources, or it will be difficult to obtain the desired reconstruction effect. For this reason, researchers began to apply different processing strategi...Show More

Theoretical derivation of super-resolution sub-image stitching based on method of Lagrangian multipliers

Yu Weng;Tong Zhou

2022 2nd International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI)

Year: 2022 | Conference Paper |

A Survey on Improved GAN based Image Inpainting

Yu Weng;Shiyu Ding;Tong Zhou

2022 2nd International Conference on Consumer Electronics and Computer Engineering (ICCECE)

Year: 2022 | Conference Paper |

Cited by: Papers (4)

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Image inpainting is a computer vision technique that originated from the restoration of broken artworks. It refers to the work of restoring or completing an image by using the information of the undamaged part of the image when there is a broken or empty local area in the image. Image inpainting technology has a wide range of applications in digital cultural heritage preservation, image editing, v...Show More

A Survey on Improved GAN based Image Inpainting

Yu Weng;Shiyu Ding;Tong Zhou

2022 2nd International Conference on Consumer Electronics and Computer Engineering (ICCECE)

Year: 2022 | Conference Paper |

Improved Density Peak Clustering Based on Information Entropy for Ancient Character Images

Yu Weng;Ning Zhang;Xiaoxian Yang

Year: 2019 | Volume: 7 | Journal Article |

Cited by: Papers (4)

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A large number of IoT applications require the use of supervised machine learning, a type of machine learning algorithm that requires data to be labeled before the model can be trained. Because manually labeling large datasets is a time-consuming, error-prone, and expensive task, automated machine learning methods can be used. To tackle the challenge in which an ancient character image needs to be...Show More

Improved Density Peak Clustering Based on Information Entropy for Ancient Character Images

Yu Weng;Ning Zhang;Xiaoxian Yang

Year: 2019 | Volume: 7 | Journal Article |

Image Inpainting Technique Based on Smart Terminal: A Case Study in CPS Ancient Image Data

Yu Weng;Haiwen Zhou;Jian Wan

Year: 2019 | Volume: 7 | Journal Article |

Cited by: Papers (4)

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Cyber-physical system (CPS) can intelligently feel the interactive information between data and terminal. The combination of CPS data and intelligent terminal can make terminal devices communicate with each other, coordinate operation, and share information in a complex environment. At present, the demand for smart terminal technology in university libraries and national cultural museums is also i...Show More

Image Inpainting Technique Based on Smart Terminal: A Case Study in CPS Ancient Image Data

Yu Weng;Haiwen Zhou;Jian Wan

Year: 2019 | Volume: 7 | Journal Article |

Data Augmentation Computing Model Based on Generative Adversarial Network

Yu Weng;Haiwen Zhou

Year: 2019 | Volume: 7 | Journal Article |

Cited by: Papers (12)

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The edge intelligent computing technology can reduce the delay and energy consumption of deep learning model reasoning through the collaborative terminal acquisition equipment and edge server. We apply the neural network to the edge computing and build a data augmentation computing model based on the sparse data volume. Then, we get an intelligent generative image after the network training to ach...Show More

Data Augmentation Computing Model Based on Generative Adversarial Network

Yu Weng;Haiwen Zhou

Year: 2019 | Volume: 7 | Journal Article |

A Collective Anomaly Detection Approach for Multidimensional Streams in Mobile Service Security

Yu Weng;Lei Liu

Year: 2019 | Volume: 7 | Journal Article |

Cited by: Papers (13)

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Anomaly detection in many applications is becoming more and more important, especially for security and privacy in mobile service computing domains with the development of mobile internet and mobile cloud computing, in which data are typical multidimensional time series data. However, the collective anomaly detection for multidimensional streams exists lots of problems, owing to the differences be...Show More

A Collective Anomaly Detection Approach for Multidimensional Streams in Mobile Service Security

Yu Weng;Lei Liu

Year: 2019 | Volume: 7 | Journal Article |

NAS-Unet: Neural Architecture Search for Medical Image Segmentation

Yu Weng;Tianbao Zhou;Yujie Li;Xiaoyu Qiu

Year: 2019 | Volume: 7 | Journal Article |

Cited by: Papers (337)

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Neural architecture search (NAS) has significant progress in improving the accuracy of image classification. Recently, some works attempt to extend NAS to image segmentation which shows preliminary feasibility. However, all of them focus on searching architecture for semantic segmentation in natural scenes. In this paper, we design three types of primitive operation set on search space to automati...Show More

NAS-Unet: Neural Architecture Search for Medical Image Segmentation

Yu Weng;Tianbao Zhou;Yujie Li;Xiaoyu Qiu

Year: 2019 | Volume: 7 | Journal Article |

Automatic Convolutional Neural Architecture Search for Image Classification Under Different Scenes

Yu Weng;Tianbao Zhou;Lei Liu;Chunlei Xia

Year: 2019 | Volume: 7 | Journal Article |

Cited by: Papers (36)

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The recent advances in convolutional neural networks (CNNs) have used for image classification to achieve remarkable results. Different fields of image datasets will need different CNN architectures to achieve exceptional performance. However, designing a good CNN architecture is a computationally expensive task and requires expert knowledge. In this paper, we propose an effective framework to sol...Show More

Automatic Convolutional Neural Architecture Search for Image Classification Under Different Scenes

Yu Weng;Tianbao Zhou;Lei Liu;Chunlei Xia

Year: 2019 | Volume: 7 | Journal Article |

Multi-Agent-Based Unsupervised Detection of Energy Consumption Anomalies on Smart Campus

Yu Weng;Ning Zhang;Chunlei Xia

Year: 2019 | Volume: 7 | Journal Article |

Cited by: Papers (56)

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The smart campus is becoming a reality with the advancement of information and communication technologies. For energy efficiency, it is essential to detect abnormal energy consumption in a smart campus, which is important for a “smart” campus. However, the obtained data are usually continuously generated by ubiquitous sensing devices, and the abnormal patterns hidden in the data are usually unknow...Show More

Multi-Agent-Based Unsupervised Detection of Energy Consumption Anomalies on Smart Campus

Yu Weng;Ning Zhang;Chunlei Xia

Year: 2019 | Volume: 7 | Journal Article |

A Data Fusion Model Based on Blogosphere Evaluation

2013 6th International Conference on Intelligent Networks and Intelligent Systems (ICINIS)

Year: 2013 | Conference Paper |

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Considered the mutual influence of blog topic text and comment opinion, an alert monitoring and evaluation model for blogosphere is proposed. The model could effectively extract the blog topic features, detect the new alert event and calculate the comment opinion of blog. To validate the performance, the experiments on "Campus Network Culture Corpus" further demonstrate the validity and practicali...Show More

A Data Fusion Model Based on Blogosphere Evaluation

2013 6th International Conference on Intelligent Networks and Intelligent Systems (ICINIS)

Year: 2013 | Conference Paper |

A Distributed GIS Model Based on Hadoop

Yu Weng;Huiting Liu

2013 6th International Conference on Intelligent Networks and Intelligent Systems (ICINIS)

Year: 2013 | Conference Paper |

Cited by: Papers (1)

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Along with the rapid development of the information superhighway, big data has been mentioned more and more frequently. Cloud computing turn all IT resources into a service, users can use these services through the network, in order to reach the goal of demand computing and cooperative multiplayer. The application of GIS technology in the industry, information sharing will provide users with a mor...Show More

A Distributed GIS Model Based on Hadoop

Yu Weng;Huiting Liu

2013 6th International Conference on Intelligent Networks and Intelligent Systems (ICINIS)

Year: 2013 | Conference Paper |

Data Acquisition Terminal Application Design and Development Based on the Android Platform

Yu Weng;Xiaokang Wang;Qelger;Gui Ma

2012 Fifth International Conference on Intelligent Networks and Intelligent Systems

Year: 2012 | Conference Paper |

Cited by: Papers (1)

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Google launched a new Android smart phone with the open source operating system when the smart phone system at the disputes. It uses Linux Core, and the members of OHA(Open Handset Alliance) can use and modify SDK bag at will, which open source of system makes it good expanding. This phone takes all software that smart phone needs when working, including operating system, user interface and applic...Show More

Data Acquisition Terminal Application Design and Development Based on the Android Platform

Yu Weng;Xiaokang Wang;Qelger;Gui Ma

2012 Fifth International Conference on Intelligent Networks and Intelligent Systems

Year: 2012 | Conference Paper |

Model of Data Gathering and Processing on Tibetan and Uyghur Language

Yu Weng;Hanxin Jia;Qingli Ma

2012 Fifth International Conference on Intelligent Networks and Intelligent Systems

Year: 2012 | Conference Paper |

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A model of web data gathering and processing on Tibetan and Uyghur language is introduced in this paper, including page crawler, content extraction, word segmentation and frequency statistics and display. Firstly, It extracts the website's templates and use the template to extract the content and title of the web page, then the software transforms the HTML file to the XML file. The second step is ...Show More

Model of Data Gathering and Processing on Tibetan and Uyghur Language

Yu Weng;Hanxin Jia;Qingli Ma

2012 Fifth International Conference on Intelligent Networks and Intelligent Systems

Year: 2012 | Conference Paper |

Enrichment of semantic ontology in Tibetan language by extracting concepts with hyponymy patterns

Lirong Qiu;Yu Weng;Xiaobing Zhao;Guosheng Yang

Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology

Year: 2011 | Conference Paper |

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Semantic ontology is driving the evolution of knowledge engineering on the basis of shared knowledge. The acquisition of hyponymy is a basic and vital problem in ontology building, which provides the basic supports for further enrichment. In this paper, we propose an iterative verification method of enriching ontology concepts by the representation and acquisition of hyponymy patterns in Tibetan l...Show More

Enrichment of semantic ontology in Tibetan language by extracting concepts with hyponymy patterns

Lirong Qiu;Yu Weng;Xiaobing Zhao;Guosheng Yang

Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology

Year: 2011 | Volume: 9 | Conference Paper |

A Blogger Reputation Evaluation Model Based on Opinion Analysis

Yu Weng;Liyong Zhao

2010 IEEE Asia-Pacific Services Computing Conference

Year: 2010 | Conference Paper |

Cited by: Papers (2)

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This paper proposes a blogger reputation evaluation model based on opinion analysis for blogosphere (namedTOAM). This model not only calculates the semantic opinion of blog comment text, but also takes the reputation of blogger into evaluation and retrieves the topic opinion attitudes of internet users with different reputation. Oriented to the different length of blog comment, TOAM adopts two cal...Show More

A Blogger Reputation Evaluation Model Based on Opinion Analysis

Yu Weng;Liyong Zhao

2010 IEEE Asia-Pacific Services Computing Conference

Year: 2010 | Conference Paper |

Alert Monitoring Cloud: Psychological Health Analysis of Web Text in Cloud

Yu Weng;Changjun Hu;Xiaoming Zhang;Huayu Li

2010 Fifth Annual ChinaGrid Conference

Year: 2010 | Conference Paper |

Cited by: Papers (2)

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Alert monitoring of psychological health for web text is to evaluate and forecast the unhealthy psychological status of web users by the technology of web text mining. Based on the idea of “Service Distributed and Management Centralized”, this paper proposes a cloud architecture for psychological health analysis and describes the service component representation, workflow customization and workflo...Show More

Alert Monitoring Cloud: Psychological Health Analysis of Web Text in Cloud

Yu Weng;Changjun Hu;Xiaoming Zhang;Huayu Li

2010 Fifth Annual ChinaGrid Conference

Year: 2010 | Conference Paper |

Blog Hotness Evaluation Model Based on Text Opinion Analysis

Jianjiang Li;Xuechun Zhang;Yu Weng;Changjun Hu

2009 Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing

Year: 2009 | Conference Paper |

Cited by: Papers (4)

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Aiming at the deficiencies of traditional blog hotness evaluation methods, the paper presents a blog hotness evaluation model based on text opinion analysis (named BHEM-TOA). The model not only considers the number of reviews, comments and publication time of the blog topic, but also focuses on the comment opinion. BHEM-TOA emphasizes subjective opinions of reviewers about the blog topic. It utili...Show More

Blog Hotness Evaluation Model Based on Text Opinion Analysis

Jianjiang Li;Xuechun Zhang;Yu Weng;Changjun Hu

2009 Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing

Year: 2009 | Conference Paper |

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