| Instance-level salient object segmentation G Li, Y Xie, L Lin, Y Yu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 254 | 2017 |
| Flow guided recurrent neural encoder for video salient object detection G Li, Y Xie, T Wei, K Wang, L Lin Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 120 | 2018 |
| Weakly supervised salient object detection using image labels G Li, Y Xie, L Lin Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 70 | 2018 |
| Semi-supervised video salient object detection using pseudo-labels P Yan, G Li, Y Xie, Z Li, C Wang, T Chen, L Lin Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 55 | 2019 |
| Facial landmark machines: A backbone-branches architecture with progressive representation learning L Liu, G Li, Y Xie, Y Yu, Q Wang, L Lin IEEE Transactions on Multimedia 21 (9), 2248-2262, 2019 | 27 | 2019 |
| Cross-domain facial expression recognition: A unified evaluation benchmark and adversarial graph learning T Chen, T Pu, H Wu, Y Xie, L Liu, L Lin IEEE transactions on pattern analysis and machine intelligence, 2021 | 20 | 2021 |
| Adversarial graph representation adaptation for cross-domain facial expression recognition Y Xie, T Chen, T Pu, H Wu, L Lin Proceedings of the 28th ACM international conference on Multimedia, 1255-1264, 2020 | 20 | 2020 |
| Structured semantic transfer for multi-label recognition with partial labels T Chen, T Pu, H Wu, Y Xie, L Lin Proceedings of the AAAI conference on artificial intelligence 36 (1), 339-346, 2022 | 4 | 2022 |
| AU-expression knowledge constrained representation learning for facial expression recognition T Pu, T Chen, Y Xie, H Wu, L Lin 2021 IEEE International Conference on Robotics and Automation (ICRA), 11154 …, 2021 | 4 | 2021 |
| Facial landmark localization in the wild by backbone-branches representation learning L Liu, G Li, Y Xie, L Lin, Y Yu 2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM), 1-8, 2018 | 3 | 2018 |
| Survey on Graph Neural Network Acceleration: An Algorithmic Perspective X Liu, M Yan, L Deng, G Li, X Ye, D Fan, S Pan, Y Xie arXiv preprint arXiv:2202.04822, 2022 | 2 | 2022 |
| Understanding gnn computational graph: A coordinated computation, io, and memory perspective H Zhang, Z Yu, G Dai, G Huang, Y Ding, Y Xie, Y Wang Proceedings of Machine Learning and Systems 4, 467-484, 2022 | 1 | 2022 |
| Tensor train decomposition for solving large-scale linear equations H Chen, L Deng, Z Qu, L Liang, T Yan, Y Xie, G Li Neurocomputing 464, 203-217, 2021 | 1 | 2021 |
| Dynamic N: M Fine-grained Structured Sparse Attention Mechanism Z Chen, Y Quan, Z Qu, L Liu, Y Ding, Y Xie arXiv preprint arXiv:2203.00091, 2022 | | 2022 |
| Heuristic Adaptability to Input Dynamics for SpMM on GPUs G Dai, G Huang, S Yang, Z Yu, H Zhang, Y Ding, Y Xie, H Yang, Y Wang arXiv preprint arXiv:2202.08556, 2022 | | 2022 |
| Transformer Acceleration with Dynamic Sparse Attention L Liu, Z Qu, Z Chen, Y Ding, Y Xie arXiv preprint arXiv:2110.11299, 2021 | | 2021 |
| DFSSATTEN: Dynamic Fine-grained Structured Sparse Attention Mechanism Z Chen, L Liu, Y Quan, Z Qu, Y Ding, Y Xie | | 2021 |
| Efficient Sparse Matrix Kernels based on Adaptive Workload-Balancing and Parallel-Reduction G Huang, G Dai, Y Wang, Y Ding, Y Xie arXiv preprint arXiv:2106.16064, 2021 | | 2021 |
| Reconstructing transformed domain information in encoded video streams M Qin, YK Chen, K Xu, Y Wang, F Sun, Y Xie US Patent App. 16/684,294, 2021 | | 2021 |
| Redefining The Self-Normalization Property Z Chen, Z WeiQin, L Deng, G Li, Y Xie | | 2020 |
