https://cis.temple.edu/~jiewu/research/publications/Publications_2024.html
Book & Book Chapters Y. Chen, J. Wu, C. Wang, and P. Yu, " Network Security Empowered by Artificial Intelligence," Springer, 2024.
https://cis.temple.edu/~jiewu/research/publications/Publication_files/DiVE.pdf
Abstract—Ensuring stable and high-quality real-time video an-alytics for computationally constrained mobile agents is essential. However, limited computing resources and network bandwidth present significant challenges in meeting the objective of low response time and high inference accuracy. In this paper, we present DiVE, an edge-assisted video analytics system that utilizes motion vectors ...
https://noncredit.temple.edu/upload/Spring%202022%20OLLI%20Online%20Course%20Guide_Final%2012-20.pdf
Some of you had to learn new technology skills and have even seen some benefits to meeting online, beyond the safety factor. I want you to know that it is the intention of our program to return to in-person classes as soon as it’s feasible. However, the decision was made to maintain the program virtually, due to the uncertainty of the COVID situation.
https://hope.temple.edu/sites/hope/files/media/document/HopeNationalReport2021-22-compressed-compressed.pdf
This report examines the pandemic’s impact on #RealCollege students who were able to continue their education in this challenging environment. Using our sixth annual #RealCollege Survey, fielded in fall 2020, we assessed students’ basic needs security and their well-being, as indicated by employment status, academic engagement, and mental health.
https://cis.temple.edu/~latecki/Papers/ICIP2019.pdf
ABSTRACT The extensive computational burden limits the usage of CNNs in mobile devices for dense estimation tasks. In this paper, we present a lightweight network to address this prob-lem, namely LEDNet, which employs an asymmetric encoder-decoder architecture for the task of real-time semantic seg-mentation. More specifically, the encoder adopts a ResNet as backbone network, where two new ...
https://liberalarts.temple.edu/sites/liberalarts/files/Handbook_on_the_Economics.pdf
Allied- Barton provides security services at 90 US colleges and universities (Colavecchio- Van Sickler, 2007). This is part of the general trend that started in the 1990s, where profi t and non- for- profi t organizations contract out non- core activities in order to save on resources, eliminate labor disputes, and enjoy on occasion greater use ...
https://cis.temple.edu/~latecki/Papers/BaiPAMI2019.pdf
Abstract—Diffusion process has advanced object retrieval greatly as it can capture the underlying manifold structure. Recent studies have experimentally demonstrated that tensor product diffusion can better reveal the intrinsic relationship between objects than other variants. However, the principle remains unclear, i.e., what kind of manifold structure is captured. In this paper, we propose ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/Paper%206750%20Camera%20Ready%20Version.pdf
1 Introduction Federated learning (FL) [Koneˇcn ́y et al., 2017], a widely-used framework for distributed machine learning, is a signif-icant research focus. Most FL algorithms, such as the clas-sic FedAvg, fall into Synchronous Federated Learning (SFL). They require the server to wait for all selected clients’ lo-cal training and uploads before aggregating updates, and as-sume uniform ...
https://cis.temple.edu/~latecki/Papers/JoPanECAI2024.pdf
Addressing these gaps, we introduce the FlowLearn Dataset1, which includes both scientific and simulated flowcharts. The scien-tific subset features 3,858 flowcharts sourced from scientific liter-ature, annotated with captions (median length of 25 words) and in-figure text. The simulated subset consists of 10,000 flowcharts gener-ated from Mermaid code. This simulated subset enhances the ...
https://scholarshare.temple.edu/bitstreams/1c1f1a6d-0f34-4234-8b39-41d9eeb397f0/download
of machine learning (ML) versus a traditional statistical model in predicting dental caries in