| Generative adversarial networks: introduction and outlook K Wang, C Gou, Y Duan, Y Lin, X Zheng, FY Wang IEEE/CAA Journal of Automatica Sinica 4 (4), 588-598, 2017 | 595 | 2017 |
| Vehicle license plate recognition based on extremal regions and restricted Boltzmann machines C Gou, K Wang, Y Yao, Z Li IEEE Transactions on Intelligent Transportation Systems 17 (4), 1096-1107, 2016 | 257 | 2016 |
| Hierarchical and networked vehicle surveillance in its: A survey B Tian, BT Morris, M Tang, Y Liu, Y Yao, C Gou, D Shen, S Tang IEEE Transactions on Intelligent Transportation Systems 18 (1), 25-48, 2016 | 244 | 2016 |
| 生成式对抗网络 GAN 的研究进展与展望 王坤峰， 苟超， 段艳杰， 林懿伦， 郑心湖， 王飞跃 自动化学报 43 (3), 321-332, 2017 | 225* | 2017 |
| Parallel vision for perception and understanding of complex scenes: methods, framework, and perspectives K Wang, C Gou, N Zheng, JM Rehg, FY Wang Artificial Intelligence Review 48, 299-329, 2017 | 148 | 2017 |
| A joint cascaded framework for simultaneous eye detection and eye state estimation C Gou, Y Wu, K Wang, K Wang, FY Wang, Q Ji Pattern Recognition 67, 23-31, 2017 | 124 | 2017 |
| Federated meta-learning for fraudulent credit card detection W Zheng, L Yan, C Gou, FY Wang International Joint Conferences on Artificial Intelligence(IJCAI), 4654-4660, 2021 | 106 | 2021 |
| Simultaneous facial landmark detection, pose and deformation estimation under facial occlusion Y Wu, C Gou, Q Ji IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 99 | 2017 |
| Chat with chatgpt on intelligent vehicles: An ieee tiv perspective H Du, S Teng, H Chen, J Ma, X Wang, C Gou, B Li, S Ma, Q Miao, X Na, ... IEEE Transactions on Intelligent Vehicles, 2023 | 90 | 2023 |
| Parallel vision: An ACP-based approach to intelligent vision computing K Wang, C Gou, FY Wang Acta Automatica Sinica 42 (10), 1490-1500, 2016 | 75 | 2016 |
| Learning to classify: A flow-based relation network for encrypted traffic classification W Zheng, C Gou, L Yan, S Mo Proceedings of The Web Conference 2020, 13-22, 2020 | 71 | 2020 |
| Hierarchical fused model with deep learning and type-2 fuzzy learning for breast cancer diagnosis T Shen, J Wang, C Gou, FY Wang IEEE Transactions on Fuzzy Systems 28 (12), 3204-3218, 2020 | 60 | 2020 |
| MFR-CNN: Incorporating multi-scale features and global information for traffic object detection H Zhang, K Wang, Y Tian, C Gou, FY Wang IEEE Transactions on Vehicular Technology 67 (9), 8019-8030, 2018 | 60 | 2018 |
| : A Robust Change Detection Method for Intelligent Visual Surveillance K Wang, C Gou, FY Wang IEEE Access 6, 15505-15520, 2018 | 56 | 2018 |
| A multi-view learning approach to foreground detection for traffic surveillance applications K Wang, Y Liu, C Gou, FY Wang IEEE Transactions on Vehicular Technology 65 (6), 4144-4158, 2015 | 55 | 2015 |
| Simultaneous Segmentation and Classification of Mass Region from Mammograms Using a Mixed-Supervision Guided Deep Model T Shen, C Gou, J Wang, F Wang IEEE Signal Processing Letters, 2020 | 48 | 2020 |
| Learning-by-synthesis for accurate eye detection C Gou, Y Wu, K Wang, FY Wang, Q Ji 2016 23rd international conference on pattern recognition (ICPR), 3362-3367, 2016 | 46 | 2016 |
| Mass image synthesis in mammogram with contextual information based on GANs T Shen, K Hao, C Gou, FY Wang Computer Methods and Programs in Biomedicine 202, 106019, 2021 | 38 | 2021 |
| A novel approach inspired by optic nerve characteristics for few-shot occluded face recognition W Zheng, C Gou, FY Wang Neurocomputing 376, 25-41, 2020 | 38 | 2020 |
| Learning from adversarial medical images for X-ray breast mass segmentation T Shen, C Gou, FY Wang, Z He, W Chen Computer methods and programs in biomedicine 180, 105012, 2019 | 38 | 2019 |
Qiang JiProfessor of Electrical Eng., RPIVerified email at ecse.rpi.edu
