https://cis.temple.edu/~wangp/papers.html
Selected Papers of Pei Wang All the following publications are authored by Pei Wang unless specified otherwise.
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
https://cis.temple.edu/tagit/presentations/Hopfield%20Networks%20is%20all%20you%20need.pdf
Note that there are 2,500 pixels in each image, the size of the weight matrix will be 2500 × 2500, but only learned by ONE image. Two natural problems will arise. 1) How many patterns can one
https://cis.temple.edu/~wu/teaching/Spring2018/distributed-computing-2018.pdf
1. In your opinion, what is the future of the computing and the field of distributed systems? 2. Use your own words to explain the differences between distributed systems, multiprocessors, and network systems. 3. Calculate (a) node degree, (b) diameter, (c) bisection width, and (d) the number of links for an nx n2-d mesh, an n x n2- d torus, and an n-dimensional hypercube.
https://cis.temple.edu/~jiewu/teaching/Spring%202013/01-savvides-localization-wireless-sensor-networks-fine-grained.pdf
Abstract— Wireless communication systems have become increasingly common because of advances in radio and embedded system technologies. In recent years, a new class of applications that networks these wireless de-vices together is evolving. A representative of this class that has received considerable attention from the research community is the wireless sensor network. Such a sensor ...
https://cis.temple.edu/~pwang/Publication/AGI_Aspects.pdf
In this introductory chapter, we will clarify the notion of “Artificial General Intelligence”, briefly survey the past and present situation of the field, analyze and refute some common objections and doubts regarding this area of research, and discuss what we believe needs to be addressed by the field as a whole in the near future. Finally, we will briefly summarize the contents of the ...
https://sites.temple.edu/ticlj/files/2017/02/30.1.Crootof-TICLJ.pdf
it is grounded in the idea that all weaponry should be subject to ―meaningful human control.‖ This ―intuitively appealing‖ principle is immensely popular,
https://cis.temple.edu/~latecki/Papers/GIFT-IEEEMM2017.pdf
Abstract—Projective analysis is an important solution in three-dimensional (3D) shape retrieval, since human visual perceptions of 3D shapes rely on various 2D observations from different viewpoints. Although multiple informative and discriminative views are utilized, most projection-based retrieval systems suffer from heavy computational cost, and thus cannot satisfy the basic requirement ...
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 ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/Privacy-Preserving_Federated_Neural_Architecture_Search_With_Enhanced_Robustness_for_Edge_Computing.pdf
Abstract—With the development of large-scale artificial intelli-gence services, edge devices are becoming essential providers of data and computing power. However, these edge devices are not immune to malicious attacks. Federated learning (FL), while pro-tecting privacy of decentralized data through secure aggregation, struggles to trace adversaries and lacks optimization for hetero-geneity ...