Name: Wu Xinxiao
Discipline: Computer Science and Technology
Title: Professor, Doctoral Supervisor
Tel: 68914849
E-mail: wuxinxiao@bit.edu.cn, wuxinxiao@gmail.com
Address: School of Computer Science, Beijing Institute of Technology, No.5 Zhongguancun South Street, Haidian District, Beijing Personal Information
Wu Xinxiao, Ph.D., Professor, doctoral supervisor. In July 2010, he received his Ph.D. degree in Computer Application Technology from Beijing Institute of Technology, and won the Excellent doctoral dissertation Award of Beijing Institute of Technology. From 2010 to 2011, he worked as a postdoctoral researcher in the School of Computer Science, Nanyang Technological University, Singapore. He joined the School of Computer Science, Beijing Institute of Technology in December 2011. In 2012, he won the excellent doctoral dissertation Award of the National Artificial Intelligence Society. In 2013, he was selected into the school-level Excellent Young Teachers Funding Program. In the top international conference on computer vision and artificial intelligence ICCV,CVPR, NeurIPS,ACM MM,AAAI,IJCAI and SCI, including the international important academic journals IJCV, IEEE TIP, IEEE TNNLS, IEEE TMM, IEEE TCSVT, IEEE TCSVT, IEEE TCSVT, IEEE TNNLS, IEEE TMM, IEEE TCSVT. Several papers have been published in IEEE TCYB. He is responsible for a number of scientific research projects such as the National Natural Science Foundation and the Doctoral Foundation of the Ministry of Education. He is mainly engaged in the research of machine learning, computer vision, image and video content understanding.

Research Direction
Machine Learning, Computer Vision, Artificial Intelligence, Image and Video Content Understanding

Personal Information
Wu Xinxiao, Ph.D., Professor, doctoral supervisor. In July 2010, he received his Ph.D. degree in Computer Application Technology from Beijing Institute of Technology, and won the Excellent doctoral dissertation Award of Beijing Institute of Technology. From 2010 to 2011, he worked as a postdoctoral researcher in the School of Computer Science, Nanyang Technological University, Singapore. He joined the School of Computer Science, Beijing Institute of Technology in December 2011. In 2012, he won the excellent doctoral dissertation Award of the National Artificial Intelligence Society. In 2013, he was selected into the school-level Excellent Young Teachers Funding Program. In the top international conference on computer vision and artificial intelligence ICCV,CVPR, NeurIPS,ACM MM,AAAI,IJCAI and SCI, including the international important academic journals IJCV, IEEE TIP, IEEE TNNLS, IEEE TMM, IEEE TCSVT, IEEE TCSVT, IEEE TCSVT, IEEE TNNLS, IEEE TMM, IEEE TCSVT. Several papers have been published in IEEE TCYB. He is responsible for a number of scientific research projects such as the National Natural Science Foundation and the Doctoral Foundation of the Ministry of Education. He is mainly engaged in the research of machine learning, computer vision, image and video content understanding.

Personal Information
Wu Xinxiao, Ph.D., Professor, doctoral supervisor. In July 2010, he received his Ph.D. degree in Computer Application Technology from Beijing Institute of Technology, and won the Excellent doctoral dissertation Award of Beijing Institute of Technology. From 2010 to 2011, he worked as a postdoctoral researcher in the School of Computer Science, Nanyang Technological University, Singapore. He joined the School of Computer Science, Beijing Institute of Technology in December 2011. In 2012, he won the excellent doctoral dissertation Award of the National Artificial Intelligence Society. In 2013, he was selected into the school-level Excellent Young Teachers Funding Program. In the top international conference on computer vision and artificial intelligence ICCV,CVPR, NeurIPS,ACM MM,AAAI,IJCAI and SCI, including the international important academic journals IJCV, IEEE TIP, IEEE TNNLS, IEEE TMM, IEEE TCSVT, IEEE TCSVT, IEEE TCSVT, IEEE TNNLS, IEEE TMM, IEEE TCSVT. Several papers have been published in IEEE TCYB. He is responsible for a number of scientific research projects such as the National Natural Science Foundation and the Doctoral Foundation of the Ministry of Education. He is mainly engaged in the research of machine learning, computer vision, image and video content understanding.

代表性学术成果
1. Xinxiao Wu, Ruiqi Wang, Jingyi Hou, Hanxi Lin, Jiebo Luo, Spatial-Temporal Relation Reasoning for Action Prediction in Videos, International Journal of Computer Vision (IJCV)129 (5): 1484-1505, 2021. (CCF推荐A类国际期刊)
2. Wentian Zhao, Xinxiao Wu, Jiebo Luo, Cross-Domain Image Captioning via Cross-Modal Retrieval and Model Adaptation, IEEE Transactions on Image Processing (TIP), 2021. (CCF推荐A类国际期刊)
3. Jin Chen, Xinxiao Wu, Lixin Duan, Lin Chen, Sequential Instance Refinement for Cross-Domain Object Detection in Images, IEEE Transactions on Image Processing (TIP), 2021. (CCF推荐A类国际期刊)
4. Wentian Zhao, Xinxiao Wu, Jiebo Luo, Multi-modal Dependency Tree for Video Captioning, NeurIPS, 2021. (CCF推荐 A类国际会议)
5. Xinxiao Wu, Jianwei Zhao, Ruiqi Wang, Anticipating Future Relations via Graph Growing for Action Prediction, AAAI, 2021. (CCF推荐 A类国际会议)
6. Jin Chen, Xinxiao Wu, Yao Hu, Jiebo Luo, Spatial-temporal Causal Inference for Partial Image-to-video Adaptation, AAAI, 2021. (CCF推荐 A类国际会议)
7. Xinxiao Wu, Jialu Chen, Preserving Global and Local Temporal Consistency for Arbitrary Video Style Transfer, ACM MM, 2020. (CCF推荐 A类国际会议)
8. Jingyi Hou, Xinxiao Wu, Ruiqi Wang, Jiebo Luo, Yunde Jia, Confidence-guided self refinement for action prediction in untrimmed videos, IEEE Transactions on Image Processing (TIP), 2020. (CCF推荐A类国际期刊)
9. Wentian Zhao, Xinxiao Wu, Xiaoxun Zhang, MemCap: Memorizing Style Knowledge for Image Captioning, AAAI, 2020. (CCF推荐 A类国际会议)
10. Jingyi Hou, Xinxiao Wu, Xiaoxun Zhang, Yayun Qi, Yunde Jia, Jiebo Luo, Joint Commonsense and Relation Reasoning for Image and Video Captioning, AAAI, 2020. (CCF推荐 A类国际会议)
11. Jingyi Hou, Xinxiao Wu, Wentian Zhao, Jiebo Luo, Yunde Jia, Joint Syntax Representation Learning and Visual Cue Translation for Video Captioning, ICCV, 2019. (CCF推荐 A类国际会议)
12. Jingyi Hou, Xinxiao Wu, Jin Chen, Jiebo Luo, Yunde Jia, Unsupervised Deep Learning of Mid-Level Video Representation for Action Recognition, AAAI, 2018. (CCF推荐 A类国际会议)
13. Feiwu Yu, Xinxiao Wu, Yuchao Sun, Lixin Duan, Exploiting Images for Video Recognition with Hierarchical Generative Adversarial Networks, IJCAI, 2018. (CCF推荐 A类国际会议)
14. Jingyi Hou, Xinxiao Wu, Yuchao Sun, Yunde Jia, Content-Attention Representation by Factorized Action-Scene Network for Action Recognition. IEEE Trans. Multimedia (TMM) 20(6): 1537-1547, 2018.
15. Hao Song, Xinxiao Wu, Wennan Yu, Yunde Jia, Extracting Key Segments of Videos for Event Detection by Learning From Web Sources. IEEE Trans. Multimedia (TMM) 20(5): 1088-1100, 2018.
16. Cuiwei Liu, Xinxiao Wu, Yunde Jia, A Hierarchical Video Description for Complex Activity Understanding, International Journal of Computer Vision (IJCV)118(2): 240-255, 2016. (CCF推荐A类国际期刊)
17. Cuiwei Liu, Xinxiao Wu, Yunde Jia, Transfer Latent SVM for Joint Recognition and Localization of Actions in Videos. IEEE Trans. Cybernetics (TCYB) 46(11): 2596-2608, 2016.
18. Xinxiao Wu, Han Wang, Cuiwei Liu, Yunde Jia, Cross-View Action Recognition Over Heterogeneous Feature Spaces，IEEE Transactions on Image Processing (TIP), 24(11): 4096-4108, 2015. (CCF推荐A类国际期刊)
19. Xinxiao Wu, Han Wang and Yunde Jia. Cross-view action recognition over heterogeneous feature spaces. IEEE International Conference on Computer Vision (ICCV), Sydney, Australia, 2013.（CCF推荐A类国际会议）
20. Xinxiao Wu, Dong Xu, Lixin Duan, Jiebo Luo and Yunde Jia. Action Recognition Using Multilevel Features and Latent Structural SVM. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 23(10), 1422-1431, 2013.
21. Han Wang, Xinxiao Wu and Yunde Jia. Video Annotation via Image Groups from the Web. IEEE Transactions on Multimedia (TMM), 23(10), 1282-1291, 2013.
22. 王晗, 吴心筱, 贾云得. 使用异构互联网图像组的视频标注. 计算机学报, 36(10), 2013. ( 国内一级学报)
23. Xinxiao Wu and Yunde Jia. View-invariant action recognition using latent kernelized structural SVM. European Conference on Computer Vision, Firenze (ECCV), Italy, 2012.
24. Xinxiao Wu, Dong Xu, Lixin Duan and Jiebo Luo. Action recognition using context and appearance distribution features. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, US, 2011. （CCF推荐 A类国际会议）
所获奖励