| Learning to detect salient objects with image-level supervision L Wang, H Lu, Y Wang, M Feng, D Wang, B Yin, X Ruan Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1341 | 2017 |
| Learning uncertain convolutional features for accurate saliency detection P Zhang, D Wang, H Lu, H Wang, B Yin Proceedings of the IEEE International Conference on computer vision, 212-221, 2017 | 540 | 2017 |
| Deep learning on traffic prediction: Methods, analysis, and future directions X Yin, G Wu, J Wei, Y Shen, H Qi, B Yin IEEE Transactions on Intelligent Transportation Systems 23 (6), 4927-4943, 2021 | 382 | 2021 |
| Learning to restore low-light images via decomposition-and-enhancement K Xu, X Yang, B Yin, RWH Lau Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 363 | 2020 |
| Optimized graph convolution recurrent neural network for traffic prediction K Guo, Y Hu, Z Qian, H Liu, K Zhang, Y Sun, J Gao, B Yin IEEE Transactions on Intelligent Transportation Systems 22 (2), 1138-1149, 2020 | 322 | 2020 |
| A hierarchical multiscale and multiangle system for human face detection in a complex background using gravity-center template J Miao, B Yin, K Wang, L Shen, X Chen Pattern Recognition 32 (7), 1237-1248, 1999 | 262 | 1999 |
| Data gathering in wireless sensor networks through intelligent compressive sensing J Wang, S Tang, B Yin, XY Li 2012 Proceedings IEEE INFOCOM, 603-611, 2012 | 228 | 2012 |
| Hierarchical graph convolution network for traffic forecasting K Guo, Y Hu, Y Sun, S Qian, J Gao, B Yin Proceedings of the AAAI conference on artificial intelligence 35 (1), 151-159, 2021 | 208 | 2021 |
| Yawning detection for monitoring driver fatigue X Fan, BC Yin, YF Sun 2007 international conference on machine learning and cybernetics 2, 664-668, 2007 | 178 | 2007 |
| A spatial–temporal attention approach for traffic prediction X Shi, H Qi, Y Shen, G Wu, B Yin IEEE Transactions on Intelligent Transportation Systems 22 (8), 4909-4918, 2020 | 175 | 2020 |
| Dynamic graph convolution network for traffic forecasting based on latent network of Laplace matrix estimation K Guo, Y Hu, Z Qian, Y Sun, J Gao, B Yin IEEE Transactions on Intelligent Transportation Systems 23 (2), 1009-1018, 2020 | 151 | 2020 |
| Spiking transformers for event-based single object tracking J Zhang, B Dong, H Zhang, J Ding, F Heide, B Yin, X Yang Proceedings of the IEEE/CVF conference on Computer Vision and Pattern …, 2022 | 146 | 2022 |
| 3D face recognition using local binary patterns H Tang, B Yin, Y Sun, Y Hu Signal Processing 93 (8), 2190-2198, 2013 | 145 | 2013 |
| Metro passenger flow prediction via dynamic hypergraph convolution networks J Wang, Y Zhang, Y Wei, Y Hu, X Piao, B Yin IEEE Transactions on Intelligent Transportation Systems 22 (12), 7891-7903, 2021 | 137 | 2021 |
| Where is my mirror? X Yang, H Mei, K Xu, X Wei, B Yin, RWH Lau Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 129 | 2019 |
| DRFN: Deep recurrent fusion network for single-image super-resolution with large factors X Yang, H Mei, J Zhang, K Xu, B Yin, Q Zhang, X Wei IEEE Transactions on Multimedia 21 (2), 328-337, 2018 | 119 | 2018 |
| Semantics-enhanced adversarial nets for text-to-image synthesis H Tan, X Liu, X Li, Y Zhang, B Yin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 111 | 2019 |
| MHSA-Net: Multihead self-attention network for occluded person re-identification H Tan, X Liu, B Yin, X Li IEEE Transactions on Neural Networks and Learning Systems 34 (11), 8210-8224, 2022 | 102 | 2022 |
| Object tracking by jointly exploiting frame and event domain J Zhang, X Yang, Y Fu, X Wei, B Yin, B Dong Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 93 | 2021 |
| Learning to predict bus arrival time from heterogeneous measurements via recurrent neural network J Pang, J Huang, Y Du, H Yu, Q Huang, B Yin IEEE Transactions on Intelligent Transportation Systems 20 (9), 3283-3293, 2018 | 84 | 2018 |
