| Instance-level salient object segmentation G Li, Y Xie, L Lin, Y Yu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 184 | 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 | 72 | 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 | 33 | 2018 |
| 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 | 18 | 2019 |
| 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 | 16 | 2019 |
| 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 | 4 | 2020 |
| Towards a polynomial algorithm for optimal contraction sequence of tensor networks from trees J Xu, L Liang, L Deng, C Wen, Y Xie, G Li Physical Review E 100 (4), 043309, 2019 | 3 | 2019 |
| 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 | 2 | 2018 |
| Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph Learning T Chen, T Pu, Y Xie, H Wu, L Liu, L Lin Arxiv, 2020 | 1 | 2020 |
| PLSAV: Parallel loop searching and verifying for loop closure detection Z Yang, Y Pan, L Deng, Y Xie, R Huan IET Intelligent Transport Systems, 2021 | | 2021 |
| Systems and methods for providing vector-wise sparsity in a neural network ZHU Maohua, T Zhang, Z Gu, Y Xie US Patent App. 16/937,202, 2021 | | 2021 |
| Hardware-Enabled Efficient Data Processing with Tensor-Train Decomposition Z Qu, L Deng, B Wang, H Chen, J Lin, L Liang, G Li, Z Zhang, Y Xie IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2021 | | 2021 |
| Systems and methods for providing block-wise sparsity in a neural network ZHU Maohua, Z Gu, Y Xie US Patent App. 16/521,564, 2021 | | 2021 |
| Fast Search of the Optimal Contraction Sequence in Tensor Networks L Liang, J Xu, L Deng, M Yan, X Hu, Z Zhang, G Li, Y Xie IEEE Journal of Selected Topics in Signal Processing 15 (3), 574-586, 2021 | | 2021 |
| Systems and methods for accelerating sparse neural network execution Z Gu, L Liu, S Li, Y Xie US Patent App. 16/562,376, 2021 | | 2021 |
| Efficient Processing of Sparse Tensor Decomposition via Unified Abstraction and PE-interactive Architecture B Wang, L Deng, Z Qu, S Li, Z Zhang, Y Xie IEEE Transactions on Computers, 2021 | | 2021 |
| AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition T Pu, T Chen, Y Xie, H Wu, L Lin arXiv preprint arXiv:2012.14587, 2020 | | 2020 |
| Training and Inference for Integer-Based Semantic Segmentation Network J Yang, L Deng, Y Yang, Y Xie, G Li arXiv preprint arXiv:2011.14504, 2020 | | 2020 |
| Look into Facial Expression Domain Adaptation: Adversarial Graph Learning and A Fair Evaluation Benchmark T Chen, T Pu, Y Xie, H Wu, L Liu, L Lin arXiv e-prints, arXiv: 2008.00923, 2020 | | 2020 |
| Dual-module Inference for Efficient Recurrent Neural Networks L Liu, L Deng, S Li, J Zhang, Y Yang, Z Gu, Y Ding, Y Xie | | 2019 |
