| Capturing Complex Spatio-Temporal Relations among Facial Muscles for Facial Expression Recognition Z Wang, S Wang, Q Ji 24th IEEE Conference on Computer Vision and Pattern Recognition, 2013 | 202 | 2013 |
| Capturing Global Semantic Relationships for Facial Action Unit Recognition Z Wang, S Wang, Q Ji IEEE International Conference on Computer Vision, 2013 | 156 | 2013 |
| Cross-subject workload classification with a hierarchical Bayes model Z Wang, RM Hope, Z Wang, Q Ji, WD Gray NeuroImage 59 (1), 64-69, 2012 | 137 | 2012 |
| Modeling temporal Interactions with Interval Temporal Bayesian Networks for complex activity recognition Y Zhang, Y Zhang, E Swears, N Larios, Z Wang, Q Ji Pattern Analysis and Machine Intelligence, IEEE Transactions on 35 (10 …, 2013 | 96 | 2013 |
| Creep mitigation in composites using carbon nanotube additives W Zhang, A Joshi, Z Wang, RS Kane, N Koratkar Nanotechnology 18 (18), 185703, 2007 | 86 | 2007 |
| Classifier Learning with Hidden Information Z Wang, Q Ji Computer Vision and Pattern Recognition, IEEE Conference on, 2015 | 77 | 2015 |
| A generative restricted Boltzmann machine based method for high-dimensional motion data modeling S Nie, Z Wang, Q Ji Computer Vision and Image Understanding 136, 14-22, 2015 | 59 | 2015 |
| Multiple emotion tagging for multimedia data by exploiting high-order dependencies among emotions S Wang, J Wang, Z Wang, Q Ji IEEE Transactions on Multimedia 17 (12), 2185-2197, 2015 | 32 | 2015 |
| Face and Eye Tracking using Facial Sensors within a Head-Mounted Display D Katz, MJ Toksvig, Z Wang, TP Omernick, TR Herndon US Patent US 2017/0352183 A1, 2017 | 28 | 2017 |
| A Hierarchical Probabilistic Model for Facial Feature Detection Y Wu, Z Wang, Q Ji Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 24 | 2014 |
| An efficient face recognition algorithm based on robust principal component analysis Z Wang, X Xie Proceedings of the Second International Conference on Internet Multimedia …, 2010 | 22 | 2010 |
| Syntactic pattern recognition: paradigm issues and open problems M Flasiński Handbook of pattern recognition and computer vision, 3-25, 2016 | 19 | 2016 |
| Learning with hidden information Z Wang, X Wang, Q Ji 2014 22nd International Conference on Pattern Recognition, 238-243, 2014 | 17 | 2014 |
| Tracking portions of a user's face uncovered by a head mounted display worn by the user D Katz, MJ Toksvig, Z Wang, TP Omernick, TR Herndon US Patent 10,684,674, 2020 | 15 | 2020 |
| Workload classification across subjects using EEG RM Hope, Z Wang, Z Wang, Q Ji, WD Gray Proceedings of the human factors and ergonomics society annual meeting 55 (1 …, 2011 | 15 | 2011 |
| An EEG workload classifier for multiple subjects Z Wang, RM Hope, Z Wang, Q Ji, WD Gray 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011 | 15 | 2011 |
| Learning with Hidden Information Using a Max-Margin Latent Variable Model Z Wang, T Gao, J Qiang 22nd International Conference on Pattern Recognition, 1389-1394, 2014 | 14 | 2014 |
| Structured feature selection T Gao, Z Wang, Q Ji Proceedings of the IEEE International Conference on Computer Vision, 4256-4264, 2015 | 10 | 2015 |
| Facial Animation using Facial Sensors within a Head-Mounted Display D Katz, MJ Toksvig, Z Wang, TP Omernick, TR Herndon US Patent US 2017/0352178 A1, 2017 | 8 | 2017 |
| Face and eye tracking using facial sensors within a head-mounted display D Katz, MJ Toksvig, Z Wang, TP Omernick, TR Herndon US Patent US9959678B2, 2018 | | 2018 |
Quan WangSenior Staff Software Engineer @ Google; Instructor @ Udemy; Textbook Author; IEEE Senior MemberVerified email at google.com
