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A 0.013mm2 3.2ns Input Range 10-bit Cyclic Time-to-Digital Converter Using Gated Ring Oscillator With Phase Domain Reset in 65nm CMOS Journal article
Lu, Xin, Wu, Jiangchao, Wang, Zhao, Xiang, Yifei, Liu, Liyuan, Mak, Pui In, Martins, Rui P., Law, Man Kay. A 0.013mm2 3.2ns Input Range 10-bit Cyclic Time-to-Digital Converter Using Gated Ring Oscillator With Phase Domain Reset in 65nm CMOS[J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2024, 71(8), 3635 - 3639.
Authors:  Lu, Xin;  Wu, Jiangchao;  Wang, Zhao;  Xiang, Yifei;  Liu, Liyuan; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:4.0/3.7 | Submit date：2024/05/16
Coarse-fine Conversion  Cyclic Time-to-digital Converter (Tdc)  Delays  Gated-ring Oscillator (Gro)  Generators  Image Edge Detection  Logic Gates  Phase Domain Reset  Ring Oscillators  Signal Resolution  Switches  
Coarse-to-fine spatial-channel-boundary attention network for image copy-move forgery detection Journal article
Zhong, Jun Liu, Yang, Ji Xiang, Gan, Yan Fen, Huang, Lian, Zeng, Hua. Coarse-to-fine spatial-channel-boundary attention network for image copy-move forgery detection[J]. SOFT COMPUTING, 2022, 26(21), 11461-11478.
Authors:  Zhong, Jun Liu;  Yang, Ji Xiang;  Gan, Yan Fen;  Huang, Lian;  Zeng, Hua
Favorite | TC[WOS]:3 TC[Scopus]:5  IF:3.1/3.2 | Submit date：2022/12/01
Coarse-to-fine  Copy-move Forgery Detection  Spatial-channel-boundary Attention Network  
Effective and efficient pixel-level detection for diverse video copy-move forgery types Journal article
Zhong, Jun Liu, Gan, Yan Fen, Vong, Chi Man, Yang, Ji Xiang, Zhao, Jing Hong, Luo, Jia Hua. Effective and efficient pixel-level detection for diverse video copy-move forgery types[J]. PATTERN RECOGNITION, 2021, 122, 108286.
Authors:  Zhong, Jun Liu;  Gan, Yan Fen;  Vong, Chi Man;  Yang, Ji Xiang;  Zhao, Jing Hong; et al.
Favorite | TC[WOS]:10 TC[Scopus]:15  IF:7.5/7.6 | Submit date：2022/03/04
Adaptive Block Filling  Coarse-to-fine Filtering  Fast Keypoint-label Matching  Thorough Feature Extraction  Video Copy-move Forgery Detection  
Coarse-to-Fine: Progressive Knowledge Transfer-Based Multitask Convolutional Neural Network for Intelligent Large-Scale Fault Diagnosis Journal article
Yu Wang, Ruonan Liu, Di Lin, Dongyue Chen, Ping Li, Qinghua Hu, C. L. Philip Chen. Coarse-to-Fine: Progressive Knowledge Transfer-Based Multitask Convolutional Neural Network for Intelligent Large-Scale Fault Diagnosis[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021, 34(2), 761-774.
Authors:  Yu Wang;  Ruonan Liu;  Di Lin;  Dongyue Chen;  Ping Li; et al.
Favorite | TC[WOS]:50 TC[Scopus]:42  IF:10.2/10.4 | Submit date：2023/03/06
Coarse-to-fine  Knowledge Transfer  Large-scale Fault Diagnosis Of Complex System  Multitask Convolutional Neural Network (Mcnn)  Structure Learning