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| 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 | 77 | 2021 |
| 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 | 54 | 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 | 53 | 2019 |
| 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 | 50 | 2023 |
| 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 | 44 | 2022 |
| 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 | 42 | 2018 |
| 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 | 29 | 2020 |
| Learning gabor texture features for fine-grained recognition L Zhu, T Chen, J Yin, S See, J Liu Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 24 | 2023 |
| 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 | 20 | 2013 |
| 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 | 19 | 2018 |
| 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 | 15 | 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 | 12 | 2021 |
| Addressing background context bias in few-shot segmentation through iterative modulation L Zhu, T Chen, J Yin, S See, J Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2024 | 11 | 2024 |
| 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 | 11 | 2021 |
| Towards building AI-CPS with NVIDIA Isaac Sim: An industrial benchmark and case study for robotics manipulation Z Zhou, J Song, X Xie, Z Shu, L Ma, D Liu, J Yin, S See Proceedings of the 46th international conference on software engineering …, 2024 | 10 | 2024 |
| 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 | 9 | 2020 |
| Saving the limping: Fault-tolerant quadruped locomotion via reinforcement learning D Liu, T Zhang, J Yin, S See arXiv preprint arXiv:2210.00474, 2022 | 8 | 2022 |
| ARID: A comprehensive study on recognizing actions in the dark and a new benchmark dataset Y Xu, J Yang, H Cao, K Mao, J Yin, S See CoRR, abs/2006.03876, 2020 | 7 | 2020 |
| Towards balanced active learning for multimodal classification M Shen, Y Huang, J Yin, H Zou, D Rajan, S See Proceedings of the 31st ACM International Conference on Multimedia, 3434-3445, 2023 | 6 | 2023 |