吴平平 讲师
研究方向：计算机视觉、图像处理、机器学习
教育背景：
| 2005-2009 | 南京邮电大学 | 学士 | |
| 2009-2016 | 北京大学 | 博士 | |
| 2016-2021 | 南京审计大学 | 讲师 | |
| 2021-今 | 南京审计大学 | 副教授 |
发表论文
| # | 作者 | 会议|期刊 | 论文名称 |
| 1 | Jie Zhang, Pingping Wu | IEEE Communications Letters | Joint Sampling Synchronization and Source Localization for WirelessAcoustic Sensor Networks |
| 2 | Pingping Wu, Hong Liu, Chao Xu, Xuewu Zhang and Yuan Gao | NeuroComputing | How Do You Smile?Towards A Comprehensive Smile Analysis System |
| 3 | Hong Liu, Xuewu Zhang, Pingping Wu | 2015 IEEE International Conference on Image Processing (ICIP) | Regression based landmark estimation and multi-feature fusion for visual speech recognition |
| 4 | Hong Liu, Yuan Gao, Pingping Wu | 2014 IEEE International Conference on Image Processing (ICIP) | Smile detection in unconstrained scenarios using self-similarity of gradients features |
| 5 | Pingping Wu, Hong Liu, Xuewu Zhang | 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | Spontaneous versus posed smile recognition using discriminative local spatial-temporal descriptors |
| 6 | Liu H Wu P, Li X | IEEE Transactions on Multimedia | A Novel Lip Descriptor for Audio-Visual Keyword Spotting Based on Adaptive Decision Fusion |
| 7 | Gao Y, Liu H, Wu P | Neurocomputing | A new descriptor of gradients Self-Similarity for smile detection in unconstrained scenarios |
| 8 | Liu H, Wu P, Zhang X | IEEE International Conference on Image Processing (ICIP) | Two-Level Multi-Task Metric Learning with Application to Multi-Classification |
| 9 | Liu H, Fang T, Wu P | International Conference on Pattern Recognition (ICPR) | Audio-visual Keyword Spotting for Mandarin Based on Discriminative Local Spatial-temporal Descriptors |
| 10 | Liu H, Wu P, Zhang X | IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) | Spontaneous Versus Posed Smile Recognition Using Discriminative Local Spatial-temporal Descriptors |
| 11 | Liu H, Wu P | IEEE International Conference on Image Processing (ICIP 2012) | Comparison of Methods for Smile Deceit Detection by Training Au6 and Au12 Simultaneously |