Fudong Li

Yangzhou University

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Nathan Clarke

University of Michigan–Ann Arbor

Jinglong Chen

Shandong Institute of Business and Technology

Steven Furnell

University of Nottingham

Yuequan Yang

Yangzhou University

Shuilong He

Guilin University of Electronic Technology

Hai Jiang

University of Alberta

Zitong Zhou

Chengdu University of Traditional Chinese Medicine

Gaseb Alotibi

University of Tabuk

Paul Haskell‐Dowland

Edith Cowan University

Fidel Liberal

University of the Basque Country

Cooperative Institutions

Chinese Academy of Sciences

University of Science and Technology of China

Xi'an Jiaotong University

Shandong University

Hefei National Center for Physical Sciences at Nanoscale

University of Plymouth

University of Chinese Academy of Sciences

Yangzhou University

Huazhong University of Science and Technology

Tsinghua University

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ウェアラブルコンピューティングを用いた行動認識【Powered by NICT】

IEEE Conference Proceedings (2016)

Al-Naffakh Neamah Nathan Clarke Dowland Paul Fudong Li

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End-to-middle-to-end solution for IMS media plane security

Electronic Commerce Research (2014)

José Oscar Fajardo Fidel Liberal Fudong Li Nathan Clarke Is-Haka Mkwawa

IP Multimedia Subsystem

Transcoding

Session key

10.1007/s10660-014-9170-3

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Citations (8)

End-to-middle-to-end solution for IMS media plane security

Electronic Commerce Research (2019)

José Oscar Fajardo Fidel Liberal Fudong Li Nathan Clarke Is-Haka Mkwawa

IP Multimedia Subsystem

Transcoding

Session key

10.1007/s10660-019-09367-2

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Citations (2)

Regional joint segmentation and active contour model of the image edge extraction

Laser & Infrared (2013)

Fudong Li

Edge extraction of the target image is the key technology in processing,recognition and tracking of the target.Regional joint segmentation and active contour C-V model are used here.It can achieve continuous edge extraction and it is suitable for underwater edge detection of the sphere and ellipsoid.

Active contour model

Ellipsoid

Tracking (education)

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A meta network pruning framework for remaining useful life prediction of rocket engine bearings with temporal distribution discrepancy

Mechanical Systems and Signal Processing (2023)

Tongyang Pan Sui Zhang Fudong Li Jinglong Chen Aimin Li

Pruning

Kernel (algebra)

Benchmark (surveying)

Rocket engine

Rocket (weapon)

10.1016/j.ymssp.2023.110271

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Citations (20)

Repurposing Low-Molecular-Weight Drugs against the Main Protease of Severe Acute Respiratory Syndrome Coronavirus 2

The Journal of Physical Chemistry Letters (2020)

Jia Gao Liang Zhang Xiaodan Liu Fudong Li Rongsheng Ma

The coronavirus disease pandemic caused by infection with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has affected the global healthcare system. As low-molecular-weight drugs have high potential to completely match interactions with essential SARS-CoV-2 targets, we propose a strategy to identify such drugs using the fragment-based approach. Herein, using ligand- and protein-observed fragment screening approaches, we identified niacin and hit 1 binding to the catalytic pocket of the main protease (Mpro) of SARS-CoV-2, thereby modestly inhibiting the enzymatic activity of Mpro. We further searched for low-molecular-weight drugs containing niacin or hit 1 pharmacophores with enhanced inhibiting activity, e.g., carmofur, bendamustine, triclabendazole, emedastine, and omeprazole, in which omeprazole is the only one binding to the C-terminal domain of SARS-CoV-2 Mpro. Our study demonstrates that the fragment-based approach is a feasible strategy for identifying low-molecular-weight drugs against the SARS-CoV-2 and other potential targets lacking specific drugs.

Drug repositioning

Coronavirus

Repurposing

10.1021/acs.jpclett.0c01894

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Citations (26)

Intelligent Impulse Finder: A boosting multi-kernel learning network using raw data for mechanical fault identification in big data era

ISA Transactions (2020)

Jinglong Chen Yuanhong Chang Cheng Qu Mingquan Zhang Fudong Li

Discriminative model

Boosting

10.1016/j.isatra.2020.07.039

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Citations (10)

Design Space Exploration of Galois and Fibonacci Configuration Based on Espresso Stream Cipher

ACM Transactions on Reconfigurable Technology and Systems (2022)

Zhengyuan Shi Cheng Chen Gangqiang Yang Hailiang Xiong Fudong Li

Fibonacci and Galois are two different kinds of configurations in stream ciphers. Although many transformations between two configurations have been proposed, there is no sufficient analysis of their FPGA performance. Espresso stream cipher provides an ideal sample to explore such a problem. The 128-bit secret key Espresso is designed in Galois configuration, and there is a Fibonacci-configured Espresso variant proved with the equivalent security level. To fully leverage the efficiency of two configurations, we explore the hardware optimization approaches toward area and throughput, respectively. In short, the FPGA-implemented Fibonacci cipher is more suitable for extremely resource-constrained or high-throughput applications, while the Galois cipher compromises both area and speed. To the best of our knowledge, this is the first work to systematically compare the FPGA performance of cipher configurations under relatively fair cryptographic security. We hope this work can serve as a reference for the cryptography hardware architecture research community.

10.1145/3567428

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Citations (5)

Synergistically enhancing electrocatalysis and non-enzymatic sensing for glucose by iridium single-atom/nickel oxide/N-doped graphene

Analytical and Bioanalytical Chemistry (2024)

Yaojiang Zhou Wen Wei Wenli Lei Fudong Li Jiaxi Shu

Non-blocking I/O

Nanosheet

Nickel oxide

Nickel sulfide

10.1007/s00216-024-05226-8

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