2012-2019    上海交通大学    工学博士

2008-2012    西安交通大学    工学学士

2022-                上海交通大学    长聘教轨副教授

2021-2022        香港大学（The University of Hong Kong）    博士后研究员

2018-2021        阿德莱德大学（The University of Adelaide）    博士后研究员

1. Liu W, Zhang P, Lei Y, et al. A generalized framework for edge-preserving and structure-preserving image smoothing[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 44(10): 6631-6648, 2022.
2. Liu W, Zhang P, Lei Y, et al. A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing[C]//Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). 2020, 34(07): 11620-11628.
3. Liu W, Zhang P, Huang X, et al. Real-time image smoothing via iterative least squares[J]. ACM Transactions on Graphics (TOG), 2020, 39(3): 1 -24.
4. Liu W, Zhang P, Chen X, et al. Embedding bilateral filter in least squares for efficient edge-preserving image smoothing[J]. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2018, 30(1): 23-35.
5. Liu W, Chen X, Yang J, et al. Robust color guided depth map restoration[J]. IEEE Transactions on Image Processing (TIP), 2017, 26(1): 315-327.
6. Liu W, Chen X, Shen C, et al. Semi-global weighted least squares in image filtering[C]//Proceedings of the IEEE International Conference on Computer Vision (ICCV). 2017: 5861-5869.
7. Liu W, Chen X, Yang J, et al. Variable bandwidth weighting for texture copy artifact suppression in guided depth upsampling[J]. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2017, 27(10): 2072-2085.
8. Liu W, Jia S, Li P, et al. An MRF-based depth upsampling: Upsample the depth map with its own property[J]. IEEE Signal Processing Letters (SPL), 2015, 22(10): 1708-1712.
9. Liu W, Chen X, Yang J, et al. Robust weighted least squares for guided depth upsampling[C]//IEEE International Conference on Image Processing (ICIP), 2016: 559-563.
10. Liu W, Li P, Yang J, et al. Upsampling the depth map with its own properties[C]//IEEE International Conference on Image Processing (ICIP). IEEE, 2015: 3530-3534.
11. Zhang P, Liu W, Zeng Y, et al. Looking for the detail and context devils: High-resolution salient object detection[J]. IEEE Transactions on Image Processing（TIP）, 2021, 30: 3204-3216.
12. Zhang P, Liu W, Lei Y, et al. RAPNet: Residual atrous pyramid network for importance-aware street scene parsing[J]. IEEE Transactions on Image Processing（TIP）, 2020, 29: 5010-5021.
13. Zhang P, Liu W, Lei Y, et al. Deep multiphase level set for scene parsing[J]. IEEE Transactions on Image Processing（TIP）, 2020, 29: 4556-4567.
14. Zhang P, Liu W, Lu H, et al. Salient object detection with lossless feature reflection and weighted structural loss[J]. IEEE Transactions on Image Processing（TIP）, 2019, 28(6): 3048-3060.
15. Zhang P, Liu W, Lei Y, et al. Cascaded context pyramid for full-resolution 3D semantic scene completion[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision（ICCV）.
16. Zhang P, Liu W, Lu H, et al. Salient object detection by lossless feature reflection[C]//Proceedings of the 27th International Joint Conference on Artificial Intelligence（IJCAI）. 2018: 1149-1155.
17. Zhang P, Liu W, Lei Y, et al. Semantic scene labeling via deep nested level set[J]. IEEE Transactions on Intelligent Transportation Systems（TITS）, 2020, 22(11): 6853-6865.
18. Zhang P, Liu W, Wang D, et al. Non-rigid object tracking via deep multi-scale spatial-temporal discriminative saliency maps[J]. Pattern Recognition（PR）, 2020, 100: 107130.
19. Zhang P, Liu W, Lei Y, et al. Hyperfusion-Net: Hyper-densely reflective feature fusion for salient object detection[J]. Pattern Recognition（PR）, 2019, 93: 521-533. 
20. Zhang P, Liu W, Wang H, et al. Deep gated attention networks for large-scale street-level scene segmentation[J]. Pattern Recognition（PR）, 2019, 88: 702-714.