| 2D sparse signal recovery via 2D orthogonal matching pursuit Y Fang, JJ Wu, BM Huang Science China Information Sciences 55, 889-897, 2012 | 138 | 2012 |
| A switchable deep learning approach for in-loop filtering in video coding D Ding, L Kong, G Chen, Z Liu, Y Fang IEEE Transactions on Circuits and Systems for Video Technology 30 (7), 1871-1887, 2019 | 69 | 2019 |
| GPU implementation of orthogonal matching pursuit for compressive sensing Y Fang, L Chen, J Wu, B Huang 2011 IEEE 17th International Conference on Parallel and Distributed Systems …, 2011 | 62 | 2011 |
| Deep learning techniques for vehicle detection and classification from images/videos: A survey MA Berwo, A Khan, Y Fang, H Fahim, S Javaid, J Mahmood, ZU Abideen, ... Sensors 23 (10), 4832, 2023 | 38 | 2023 |
| Morphological dilation image coding with context weights prediction J Wu, A Paul, Y Xing, Y Fang, J Jeong, L Jiao, G Shi Signal Processing: Image Communication 25 (10), 717-728, 2010 | 35 | 2010 |
| A cross entropy based deep neural network model for road extraction from satellite images B Shan, Y Fang Entropy 22 (5), 535, 2020 | 33 | 2020 |
| Distribution of distributed arithmetic codewords for equiprobable binary sources Y Fang IEEE Signal Processing Letters 16 (12), 1079-1082, 2009 | 30 | 2009 |
| Achieving optimal performance by using the IEEE 802.11 MAC protocol with service differentiation enhancements B Li, R Battiti, Y Fang IEEE Transactions on Vehicular Technology 56 (3), 1374-1387, 2007 | 29 | 2007 |
| DAC spectrum of binary sources with equally-likely symbols Y Fang IEEE transactions on communications 61 (4), 1584-1594, 2013 | 28 | 2013 |
| Crossover probability estimation using mean-intrinsic-LLR of LDPC syndrome Y Fang IEEE communications letters 13 (9), 679-681, 2009 | 25 | 2009 |
| A two-stage lossless compression algorithm for aurora image using weighted motion compensation and context-based model J Wu, C Liang, J Han, Z Hu, D Huang, H Hu, Y Fang, L Jiao Optics Communications 290, 19-27, 2013 | 22 | 2013 |
| LDPC-based lossless compression of nonstationary binary sources using sliding-window belief propagation Y Fang IEEE transactions on communications 60 (11), 3161-3166, 2012 | 21 | 2012 |
| Biprediction-based video quality enhancement via learning D Ding, W Wang, J Tong, X Gao, Z Liu, Y Fang IEEE transactions on cybernetics 52 (2), 1207-1220, 2020 | 19 | 2020 |
| Specification of efficient block-matching scheme for motion estimation in video compression G Jeon, SJ Park, Y Fang, M Anisetti, V Bellandi, E Damiani, J Jeong Optical Engineering 48 (12), 127005-127005-13, 2009 | 18 | 2009 |
| Improved binary DAC codec with spectrum for equiprobable sources Y Fang, L Chen IEEE Transactions on communications 62 (1), 256-268, 2013 | 17 | 2013 |
| Correlation parameter estimation for LDPC-based Slepian-Wolf coding Y Fang, J Jeong IEEE Communications Letters 13 (1), 37-39, 2009 | 17 | 2009 |
| Asymmetric Slepian-Wolf coding of nonstationarily-correlated M-ary sources with sliding-window belief propagation Y Fang IEEE transactions on communications 61 (12), 5114-5124, 2013 | 14 | 2013 |
| Analysis on tailed distributed arithmetic codes for uniform binary sources Y Fang, V Stankovic, S Cheng, EH Yang IEEE Transactions on Communications 64 (10), 4305-4319, 2016 | 11 | 2016 |
| Hamming distance spectrum of DAC codes for equiprobable binary sources Y Fang, V Stankovic, S Cheng, E Yang IEEE Transactions on Communications 64 (3), 1232-1245, 2016 | 11 | 2016 |
| Distributed Source Coding: Theory and Practice S Wang, Y Fang, S Cheng John Wiley & Sons, 2017 | 10 | 2017 |