https://cis.temple.edu/~jiewu/research/publications/Publications_2024.html
W. Tang, T. Ai, and J. Wu, " Tiresias: Optimizing NUMA Performance with CXL Memory and Locality-Aware Process Scheduling," Proc. of the ACM Turing Award Celebration Conference (ACM TURC), Jun 5-7, 2024.
https://lenfestcenter.temple.edu/adult-education-programs/esl-classes
Our work is made possible thanks to the support of Pennsylvania Department of Education / Division of Adult Education. The Division of Adult Education administers federal and state adult basic and family literacy funds. Adult basic and family literacy education programs funded by the Division of Adult Education provide a full range of services that support Pennsylvanians in developing basic ...
https://sites.temple.edu/ticlj/files/2025/07/Sergeev-The-International-Law-of-Artificial-Intelligence-How-to-Regulate-a-Technological-Revolution-Stimulate-the-Global-Economy.pdf
Emerging technologies at the intersection of Artificial Intelligence (AI) and robotics threaten not only the disruption of market economies and workers’ rights, but also international security. As humankind reaps the benefits of the technological revolution, nation-states grapple with disruptive innovation in a variety of ways, choosing to restrict the development, deployment, and use of AI ...
https://cis.temple.edu/~pwang/Publication/AI_Definitions.pdf
Though people have different opinions on how to accurately define AI, on a more general level they do agree on what this field is about. Human beings differ from animals and machines significantly in their mental ability, which is commonly called “intelligence”, and AI is the attempt to reproduce this ability in computer systems. This vague consensus sets important constraints on how AI ...
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://www.cis.temple.edu/~latecki/
Vivek Trivedy and Longin Jan Latecki. Image Retrieval with Self-Supervised Divergence Minimization and Cross-Attention Classification. Int. Joint Conf. on Artificial Intelligence (IJCAI), Jeju, South Korea, August 2024. pdf Qi Jia, Shuilian Yao, Youcan Xu, Yu Liu, Dehao Kong, and Longin Jan Latecki. Fuzzy Boundary-Guided Network for Camouflaged Object Detection. IEEE Int. Conf. on Multimedia ...
https://cis.temple.edu/~wu/research/publications/Publication_files/ICDE2024_Xu.pdf
Abstract—In this paper, we investigate the competitive content placement problem in Mobile Edge Caching (MEC) systems, where Edge Data Providers (EDPs) cache appropriate contents and trade them with requesters at a suitable price. Most of the existing works ignore the complicated strategic and economic interplay between content caching, pricing, and content sharing. Therefore, we propose a ...
https://universitycollege.temple.edu/news/2025/06/university-college-expands-high-impact-certificate-course-offerings-through-partnership-ziplines-education
University College at Temple University, through its Office of Non-Credit and Continuing Education (ONCE), has partnered with Ziplines Education, a national career accelerator focused on upskilling professionals at all stages of their careers. Through this collaboration, ONCE is introducing a new portfolio of online certificate programs designed to provide students and professionals in the ...
https://cis.temple.edu/~apal/npa.pdf
Abstract Recent advances in radio and embedded systems have enabled the proliferation of wireless sensor networks. Wireless sensor networks are tremendously being used in different environments to perform various monitoring tasks such as search, rescue, disaster relief, target tracking and a number of tasks in smart environments. In many such tasks, node localization is inherently one of the ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/m37113-chen%20final.pdf
Abstract—Recent years have witnessed the unprecedented performance of convolutional networks in image super-resolution (SR). SR involves upscaling a single low-resolution image to meet application-specific image quality demands, making it vital for mobile devices. However, the excessive computational and memory requirements of SR tasks pose a challenge in mapping SR networks on a single ...