| Deephunter: a coverage-guided fuzz testing framework for deep neural networks X Xie, L Ma, F Juefei-Xu, M Xue, H Chen, Y Liu, J Zhao, B Li, J Yin, S See Proceedings of the 28th ACM SIGSOFT International Symposium on Software …, 2019 | 362* | 2019 |
| Arid: A new dataset for recognizing action in the dark Y Xu, J Yang, H Cao, K Mao, J Yin, S See Deep Learning for Human Activity Recognition: Second International Workshop …, 2021 | 38 | 2021 |
| Improving deep lesion detection using 3D contextual and spatial attention Q Tao, Z Ge, J Cai, J Yin, S See Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 33 | 2019 |
| Secure deep learning engineering: A software quality assurance perspective L Ma, F Juefei-Xu, M Xue, Q Hu, S Chen, B Li, Y Liu, J Zhao, J Yin, S See arXiv preprint arXiv:1810.04538, 2018 | 31 | 2018 |
| Act: an attentive convolutional transformer for efficient text classification P Li, P Zhong, K Mao, D Wang, X Yang, Y Liu, J Yin, S See Proceedings of the AAAI conference on artificial intelligence 35 (15), 13261 …, 2021 | 28 | 2021 |
| Cloud3DView: An interactive tool for cloud data center operations J Yin, P Sun, Y Wen, H Gong, M Liu, X Li, H You, J Gao, C Lin Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM, 499-500, 2013 | 19 | 2013 |
| Mlmodelci: An automatic cloud platform for efficient mlaas H Zhang, Y Li, Y Huang, Y Wen, J Yin, K Guan Proceedings of the 28th ACM International Conference on Multimedia, 4453-4456, 2020 | 17 | 2020 |
| Aligning correlation information for domain adaptation in action recognition Y Xu, H Cao, K Mao, Z Chen, L Xie, J Yang IEEE Transactions on Neural Networks and Learning Systems, 2022 | 16 | 2022 |
| Fast MPEG-CDVS encoder with GPU-CPU hybrid computing LY Duan, W Sun, X Zhang, S Wang, J Chen, J Yin, S See, T Huang, ... IEEE Transactions on Image Processing 27 (5), 2201-2216, 2018 | 14 | 2018 |
| Stochastic downsampling for cost-adjustable inference and improved regularization in convolutional networks J Kuen, X Kong, Z Lin, G Wang, J Yin, S See, YP Tan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 12 | 2018 |
| Exploiting inter-frame regional correlation for efficient action recognition Y Xu, J Yang, K Mao, J Yin, S See Expert Systems with Applications 178, 114829, 2021 | 6 | 2021 |
| A context-rich and extensible framework for spontaneous smartphone networking E Talipov, J Yin, Y Chon, H Cha Computer communications 37, 25-39, 2014 | 6 | 2014 |
| PNL: Efficient long-range dependencies extraction with pyramid non-local module for action recognition Y Xu, H Cao, J Yang, K Mao, J Yin, S See Neurocomputing 447, 282-293, 2021 | 4 | 2021 |
| Continual semantic segmentation with automatic memory sample selection L Zhu, T Chen, J Yin, S See, J Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 3 | 2023 |
| Effective action recognition with embedded key point shifts H Cao, Y Xu, J Yang, K Mao, J Yin, S See Pattern Recognition 120, 108172, 2021 | 3 | 2021 |
| Inferbench: Understanding deep learning inference serving with an automatic benchmarking system H Zhang, Y Huang, Y Wen, J Yin, K Guan arXiv preprint arXiv:2011.02327, 2020 | 3 | 2020 |
| Self-Supervised Video Representation Learning by Video Incoherence Detection H Cao, Y Xu, K Mao, L Xie, J Yin, S See, Q Xu, J Yang IEEE Transactions on Cybernetics, 2023 | 2 | 2023 |
| Evolving a deep neural network training time estimator F Pinel, J Yin, C Hundt, E Kieffer, S Varrette, P Bouvry, S See Optimization and Learning: Third International Conference, OLA 2020, Cádiz …, 2020 | 2 | 2020 |
| Transient data delivery using fine‐grained mobility data in spontaneous smartphone networks J Yin, Y Chon, E Talipov, H Cha Wireless Communications and Mobile Computing 15 (5), 910-923, 2015 | 1 | 2015 |
| SSN: a seamless spontaneous network design around opportunistic contacts J Yin, M Chen Journal of Mobile Multimedia, 239-255, 2011 | 1 | 2011 |
