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Yuan Xie(谢圆)
Yuan Xie(谢圆)
Master, SYSU
Verified email at mail2.sysu.edu.cn
Title
Cited by
Cited by
Year
Instance-level salient object segmentation
G Li, Y Xie, L Lin, Y Yu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
2542017
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
1202018
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
702018
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
552019
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
272019
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
202021
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
202020
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
42022
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
42021
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
32018
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
22022
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
12022
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
12021
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
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Articles 1–20