J
Jielin Jiang
Researcher at Nanjing University of Information Science and Technology
Publications - 28
Citations - 423
Jielin Jiang is an academic researcher from Nanjing University of Information Science and Technology. The author has contributed to research in topics: Computer science & Impulse noise. The author has an hindex of 6, co-authored 19 publications receiving 274 citations. Previous affiliations of Jielin Jiang include Hong Kong Polytechnic University & Chinese Ministry of Education.
Papers
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Journal ArticleDOI
Mixed Noise Removal by Weighted Encoding With Sparse Nonlocal Regularization
Jielin Jiang,Lei Zhang,Jian Yang +2 more
TL;DR: In WESNR, soft impulse pixel detection via weighted encoding is used to deal with IN and AWGN simultaneously and the image sparsity prior and nonlocal self-similarity prior are integrated into a regularization term and introduced into the variational encoding framework.
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Adaptive Computation Offloading With Edge for 5G-Envisioned Internet of Connected Vehicles
TL;DR: An adaptive computation offloading method, named ACOM, is devised for edge computing in 5G-envisioned IoCV to optimize the task offloading delay and resource utilization of the edge system.
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Supervised discrete discriminant hashing for image retrieval
TL;DR: This paper proposed a novel supervised discrete discriminant hashing learning method, which can learn discrete hashing codes and hashing function simultaneously, and achieves leading performance compared with the state-of-the-art semi-supervised classification methods.
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Mixed noise removal by weighted low rank model
TL;DR: By grouping image nonlocal similar patches as a matrix, the WLRM model reconstructs the clean image by finding the weighted low rank approximation or representation of the matrix, and shows very promising mixed noise removal results in terms of both quantitative measure and visual perception.
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A Review of Techniques and Methods for IoT Applications in Collaborative Cloud-Fog Environment
TL;DR: The main challenges IoT faces in new application requirements are summarized and analyzed and the key role that fog computing based on 5G may play in the field of intelligent driving and tactile robots is prospected.