Lednet: A lightweight encoder-decoder network for real-time semantic segmentation Y Wang, Q Zhou, J Liu, J Xiong, G Gao, X Wu, LJ Latecki 2019 IEEE international conference on image processing (ICIP), 1860-1864, 2019 | 417 | 2019 |
A general efficient method for chaotic signal estimation W Xiaofu, S Songgeng IEEE Transactions on signal processing 47 (5), 1424-1428, 1999 | 168 | 1999 |
AGLNet: Towards real-time semantic segmentation of self-driving images via attention-guided lightweight network Q Zhou, Y Wang, Y Fan, X Wu, S Zhang, B Kang, LJ Latecki applied soft computing 96, 106682, 2020 | 99 | 2020 |
Physical-layer authentication for multi-carrier transmission X Wu, Z Yang IEEE Communications Letters 19 (1), 74-77, 2014 | 99 | 2014 |
ESNet: An efficient symmetric network for real-time semantic segmentation Y Wang, Q Zhou, J Xiong, X Wu, X Jin Pattern Recognition and Computer Vision: Second Chinese Conference, PRCV …, 2019 | 93 | 2019 |
Design and realization of an FPGA-based generator for chaotic frequency hopping sequences L Cong, W Xiaofu IEEE Transactions on Circuits and Systems I: Fundamental Theory and …, 2001 | 89 | 2001 |
Adaptive-normalized/offset min-sum algorithm X Wu, Y Song, M Jiang, C Zhao IEEE communications letters 14 (7), 667-669, 2010 | 83 | 2010 |
Contextual ensemble network for semantic segmentation Q Zhou, X Wu, S Zhang, B Kang, Z Ge, LJ Latecki Pattern Recognition 122, 108290, 2022 | 80 | 2022 |
Fast dynamic routing based on weighted kernel density estimation S Zhang, Q Zhou, X Wu International symposium on artificial intelligence and robotics, 301-309, 2018 | 76 | 2018 |
Parallel weighted bit-flipping decoding X Wu, C Zhao, X You IEEE Communications letters 11 (8), 671-673, 2007 | 68 | 2007 |
FDDWNet: a lightweight convolutional neural network for real-time semantic segmentation J Liu, Q Zhou, Y Qiang, B Kang, X Wu, B Zheng ICASSP 2020-2020 IEEE international conference on acoustics, speech and …, 2020 | 67 | 2020 |
Artificial-noise-aided physical layer phase challenge-response authentication for practical OFDM transmission X Wu, Z Yang, C Ling, XG Xia IEEE transactions on wireless communications 15 (10), 6611-6625, 2016 | 54 | 2016 |
Polar lattices: where Arıkan meets Forney Y Yan, C Ling, X Wu 2013 IEEE International Symposium on Information Theory, 1292-1296, 2013 | 54 | 2013 |
On SOVA for nonbinary codes L Cong, W Xiaofu, S Songgeng Fifth Asia-Pacific Conference on... and Fourth Optoelectronics and …, 1999 | 52 | 1999 |
New insights into weighted bit-flipping decoding X Wu, C Ling, M Jiang, E Xu, C Zhao, X You IEEE Transactions on Communications 57 (8), 2177-2180, 2009 | 50 | 2009 |
Construction of capacity-achieving lattice codes: Polar lattices L Liu, Y Yan, C Ling, X Wu IEEE Transactions on Communications 67 (2), 915-928, 2018 | 48 | 2018 |
Entropy minimization versus diversity maximization for domain adaptation X Wu, S Zhang, Q Zhou, Z Yang, C Zhao, LJ Latecki IEEE Transactions on Neural Networks and Learning Systems 34 (6), 2896-2907, 2021 | 46 | 2021 |
Joint LDPC and physical-layer network coding for asynchronous bi-directional relaying X Wu, C Zhao, X You IEEE Journal on Selected Areas in Communications 31 (8), 1446-1454, 2012 | 44 | 2012 |
Shortening for irregular QC-LDPC codes X Liu, X Wu, C Zhao IEEE Communications Letters 13 (8), 612-614, 2009 | 39 | 2009 |
Learning diverse features with part-level resolution for person re-identification B Xie, X Wu, S Zhang, S Zhao, M Li Pattern Recognition and Computer Vision: Third Chinese Conference, PRCV 2020 …, 2020 | 37 | 2020 |