Name |
Peng JIANG |
Gender |
Male |
Position |
Research Assistant |
Address |
17923 Jingshi Rd, Jinan 250061, P.R. China |
Tel |
0531-88399198 |
E-mail |
sdujump@gmail.com |
Education
B.S, 2006-2010, Software Engineering, Shandong University.
Ph.D, 2010-2016, Computer Science and Technology, Shandong University.
Working Experience
09/2014-09/2015, Visiting Scholar, University of California, San Diego, USA.
07/2016-08/2018, Postdoctoral Researcher, Shandong University, Jinan, P.R.China.
09/2018-Now, Research Assistant, Shandong University, Jinan, P.R.China.
Research Interests
1. Machine Learning.
2. Computer Vision.
3. Interdisciplinary researches on Geophysics.
Selected Projects
1. Research on visual attention retargeting, Natural Science Foundation of China, 2018 – 2020, Director.
2. Research on semantic and natural preserved visual attention retargeting, China Postdoctoral Science Foundation, 2017-2019, Director.
Professional Affiliations
1. AAAI Conference on Artificial Intelligence (AAAI), Program Committee Member.
2. Reviewer of top-tier venues, such as IEEE TPAMI, IEEE TIP, IEEE TVCG, IEEE TGRS, ICCV, CVPR, ECCV, AAAI.
3. IEEE Member, SDAI Member.
Selected Publications
https://scholar.google.com/citations?user=buQktfIAAAAJ&hl=en
1. Peng Jiang et al. Learning-based automatic breast tumor detection and segmentation in ultrasound images. IEEE International Symposium on Biomedical Imaging (ISBI2012). (EI)
2. Peng Jiang et al. Salient Region Detection by UFO: Uniqueness, Focusness and Objectness. IEEE International Conference on Computer Vision (ICCV2013). (CCF-A, EI)
3. Peng Jiang et al. Generic Promotion of Diffusion-Based Salient Object Detection. IEEE International Conference on Computer Vision (ICCV2015). (CCF-A, EI)
4. Yan Zhang, Zheng Sun, Peng Jiang et al. Hybrid image retargeting using optimized seam carving and scaling. Multimedia Tools and Applications, 2016. (CCF-C, SCI, IF=2.1)
5. Jinming Cao, Oren Katzir, Peng Jiang et al. DiDA: Boosting Domain Adaptation by Disentangled Synthesis. arXiv:1805.08019.
6. Peng Jiang et al. DifNet: Semantic Segmentation by Hierarchical Diffusion Networks. The Thirty-second Annual Conference on Neural Information Processing Systems (NIPS), 2018. (CCF-A, EI)
7. Jia Xu, Peng Jiang*. A survey of visual saliency and salient object detection methods. Journal of Shandong University (Natural Science).
8. Peng Jiang et al. Super Diffusion for Salient Object Detection.IEEE Transactions on Image Processing, 2019 (TIP).(CCF-A, SCI, IF=6.8)
9. Bin Liu, Peng Jiang*. Deep Learning Based Geophysical Inversion. 2019 SEG Geophysics for Smart City Development Workshop, 2019.
10. Bin Liu, Senlin Yang, Xinji Xu, Yuxiao Ren, Peng Jiang*. Deep Learning Inversion of Seismic Data in Tunnels. 2019 SEG 3rd International Workshop on Mathematical Geophysics: Traditional vs. Learning.
11. Yanan Dong, Jing Wang, Zhengfang Wang, Xiao Zhang, Yuan Gao, Qingmei Sui, Peng Jiang. A Deep-Learning Based Multiple Defect Detection Method for Tunnel Lining Damages. EEE Access, 2019. (SCI, IF=4.1)
12. Xiaokun Miao, Jing Wang, Zhengfang Wang, Qingmei Sui, Yuan Gao, Peng Jiang. The Automatic Recognition of Highway Tunnel Defects Based on Improved U-net. IEEE Sensors Journal, 2019. (SCI, IF=3.1)
13. Shucai Li, Bin Liu, Yuxiao Ren, Senlin Yang, Yangkang Chen, Yunhai Wang, Peng Jiang. Deep learning Inversion of Seismic Data.IEEE Transactions on Geoscience and Remote Sensing, 2019. (CCF-B, SCI, IF=5.6)
14. Bin Liu, Qian Guo, Shucai Li, Benchao Liu, Yuxiao Ren, Yonghao Pang, Xu Guo, Lanbo Liu, Peng Jiang*. Deep Learning Inversion of Electrical Resistivity Data. IEEE Transactions on Geoscience and Remote Sensing, 2019. Minor revision. (CCF-B, SCI, IF=5.6)
15. Bin Liu, Senlin Yang, Yuxiao Ren, Xinji Xu, Peng Jiang*, Yangkang Chen. Deep-learning inversion for realistic models. Geophysics, 2019. Major revision. (SCI, IF=2.8)
16. Lichao Nie, Benchao Liu, Peng Jiang* et al. Adaptive Convolutional Neural Networks for Electrical Resistivity Data. IEEE Access, 2019. Under review. (SCI, IF=4.1)
