Xiangbo Shu
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Xiangbo Shu is a Professor in School of Computer Science and Engineering, Nanjing University of Science and Technology, China. He received his Ph.D. degree in July 2016 from Nanjing University of Science and Technology. From 2014 to 2015, he worked as a visiting scholar in the Department of Electrical and Computer Engineering at National University of Singapore. His research interests include computer vision, multimedia computing and deep learning. He has received the Excellent Doctoral Dissertation of CAAI, the Excellent Doctoral Dissertation of Jiangsu Province, the Excellent Doctoral Dissertation of NJUST, the Best Student Paper Award in MMM 2016 and the Best Paper Runner-up in ACM MM 2015.Please visit to my homepage .[中文版] |
★ Selected Publications
1. Xiangbo Shu, Jinhui Tang, Zechao Li, Hanjiang Lai, Liyan Zhang, and Shuicheng Yan. Personalized Age Progression with Bi-level Aging Dictionary Learning. IEEE Trans. on Pattern Analysis and Machine Intelligence, 40(4): 905-917, 2018.
2. Xiangbo Shu, Jinhui Tang, Guo-Jun Qi, Zechao Li, Yu-Gang Jiang, and Shuicheng Yan. Image Classification with Tailored Fine-Grained Dictionaries. IEEE Trans. on Circuits and Systems for Video Technology, 28(2): 454-467, 2018
3. Jinhui Tang, Xiangbo Shu, Guo-Jun Qi, Zechao Li, Meng Wang, Shuicheng Yan, and Ramesh Jain. Tri-Clustered Tensor Completion for Social-Aware Image Tag Refinement. IEEE Trans. on Pattern Analysis and Machine Intelligence, 39(8): 1662-1674, 2017
4. Xiangbo Shu, Jinhui Tang, Hanjiang Lai, Luoqi Liu, and Shuicheng Yan. Personalized Age Progression with Aging Dictionary. IEEE International Conference on Computer Vision (ICCV), 2015.
5. Xiangbo Shu, Guo-Jun Qi, Jinhui Tang, and Jingdong Wang. Weekly-Shared Deep Transfer Networks for Heterogeneous-Domain Knowledge Propagation. ACM International Conference on Multimedia (ACM MM), 2015 (最佳论文提名奖).
6. Xiangbo Shu, Jinhui Tang, Hanjiang Lai, Zhiheng Niu, and Shuicheng Yan. Kinship-Guided Age Progression. Pattern Recognition, 59, 156-167, 2016
7. Xiangbo Shu, Liyan Zhang, Jinhui Tang, Guo-Sen Xie, Shuicheng Yan. Computational Face Reader. International Conference on MultiMedia Modeling (MMM), 2016. (Best Student Paper).
8. Xiangbo Shu, Jinhui Tang, Guo-Jun Qi, Yan Song, Zechao Li, and Liyan Zhang. Concurrence-Aware Long Short-Term Sub-Memories for Person-Person Action Recognition. Conference on Computer Vision and Pattern Workshops, 2017.
9. Xiangbo Shu, Jinhui Tang, Luoqi Liu, Zhiheng Niu, and Shuicheng Yan. What shall I look like after N years?. ACM International Conference on Multimedia (ACM MM), 2015.
10. Rui Yan, Jinhui Tang, Xiangbo Shu, Zechao Li, Qi Tian. Participation-Contributed Temporal Dynamic Model for Group Activity Recognition. ACM International Conference on Multimedia (ACM MM), 2018, (Oral paper)
11. Jinhui Tang, Xiangbo Shu*, Zechao Li, Guo-Jun Qi, Jingdong Wang. Generalized Deep Transfer Networks for Knowledge Propagation in Heterogeneous Domains. ACM Trans. on Multimedia Computing, Communications, and Applications, 12(4s): 68:1-68:22, 2016
12. Hanjiang Lai, Pan Yan, Xiangbo Shu, Yunchao Wei, Shuicheng Yan. Instance-Aware Hashing for Multi-Label Image Retrieval. IEEE Trans. on Image Processing, 2016, 25(6): 2469-2479.
13. Guo-Sen Xie, Xu-Yao Zhang, Xiangbo Shu, Shuicheng Yan, Cheng-Lin Liu. Task-Driven Feature Pooling for Image Classification. IEEE International Conference on Computer Vision (ICCV), 2015.
★ Major Honors & Awards
2017 Excellent Doctoral Dissertation of Chinese Association for Artificial Intelligence (CAAI)
2017 Excellent Doctoral Dissertation of Jiangsu Province, China
2017 Excellent Doctoral Dissertation of Jiangsu Computer Society, China
2017 Excellent Doctoral Dissertation of Nanjing University of Science and Technology
2016 MMM 2016 Best Student Paper
2015 ACM multidedia 2015 Best Paper Runner-up
2015 China National Scholarship
2015 ACM MM 2015 Travel Grant