人员

兼职教师

杨易    教授

电子邮箱:

Yi.Yang_AT_uts.edu.au

办公室:

南山智园A7栋1016室

研究方向:

计算机视觉,机器学习,多媒体

教育背景

2010年6月,浙江大学,计算机科学与工程博士

2003年6月,浙江大学,计算机科学与工程学士


工作经历

◆ 04/2017至今:澳大利亚悉尼科技大学教授

◆ 01/2016 - 04/2017:澳大利亚悉尼科技大学副教授

◆ 12/2015至今: 澳大利亚悉尼科技大学软件学院(科研)副主任

◆ 01/2015 - 12/2015:澳大利亚悉尼科技大学量子计算和智能系统中心高级讲师

◆ 05/2013- 01/2015:澳大利亚昆士兰大学信息技术与电气工程学院DECRA研究员

◆ 05/2011-05/2013:美国卡耐基梅隆大学计算机科学学院博士后研究员

◆ 08/2010-04/2011:澳大利亚昆士兰大学信息技术与电气工程学院博士后研究员

◆ 12/2008-09/2009:新加坡南洋理工大学计算机工程学院助理研究员


荣誉与奖项

◆ 2015年THUMOS行动识别挑战赛@CVPR,第一名

 MSR-Bing图像检索挑战ICME 2014,第一名

◆ TRECVID竞赛:2016年第一名

◆ TRECVID比赛:2011年预定事件检测第一名

◆ TRECVID竞赛:2012年度监控事件检测第一名

◆ ILSVRC(ImageNet)2014年度第三名

◆ TRECVID 2012年多媒体事件检测与重新评估,在特定事件中第一名,Ad-hoc MED中排名第二名

◆ 全国优秀博士论文奖(中国)

◆ 2015年度浙江省科学奖第一名

◆ 2017年Google学院研究奖-有效视频分析方面

◆ 多人多摄像机跟踪方面的研究工作被选为2013年由赫芬顿邮报公司(Huffington Post)发布的13项令人难以置信的技术发明(http://www.huffingtonpost.com/2013/12/19/tech-inventions - 2013_n_4453556.html)。

◆ ACM MM,ICCV,ICPR等多项顶级会议的其他主席

◆ 2013年澳大利亚研究委员会青年学者探索奖


代表文章

1. Liang Zheng, Yi Yang, Qi Tian. SIFT Meets CNN: A Decade Survey of Instance Retrieval. Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017.

2. Linchao Zhu, Zhongwen Xu, Yi Yang and Alexander G. Hauptmann. Uncovering Temporal Context for Video Question Answering. International Journal of Computer Vision, Volume 124, Issue 3, pp 409-421 2017.

3.  X. Chang, Y. Yu, Y. Yang and E. P. Xing, Semantic Pooling for Complex Event Analysis in Untrimmed Videos, IEEE Transactions on Pattern Analysis and Machine Intelligence, (2016)
4. Xiaojun Chang, Zhigang Ma, Ming Lin, Yi Yang, Alexander G. Hauptmann:Feature Interaction Augmented Sparse Learning for Fast Kinect Motion Detection. IEEE Trans. Image Processing 26(8): 3911-3920 (2017)

5. Chuang Gan, Yi Yang, Linchao Zhu, Deli Zhao, Yueting Zhuang. Recognizing an Action Using Its Name: A Knowledge-Based Approach. International Journal of Computer Vision. 2016

6. Yan Yan, Yi Yang, Deyu Meng, Gaowen Liu, Wei Tong, Alexander G. Hauptmann, Nicu Sebe. "Event Oriented Dictionary Learning for Complex Event Detection". IEEE Transactions on Image Processing 24(6): 1867-1878, 2015.

7. Z. Ma, Y. Yang, N. Sebe and A. Hauptmann, "Knowledge Adaptation with Partially Shared Features for Event Detection Using Few Exemplars", in IEEE Transactions on Pattern Analysis and Machine Intelligence 36(9): 1789-1802, 2014.

8. Z. Ma, Y. Yang, N. Sebe, S. Yan and A. Hauptmann, "Harnessing Lab Knowledge for Real-world Action Recognition", International Journal of Computer Vision. 109(1-2): 60-73, 2014.

9. Y. Yang, Z. Ma, A. Hauptmann and N. Sebe, "Feature Selection for Multimedia Analysis by Sharing Information among Multiple Tasks", in IEEE Transactions on Multimedia 15(3):661-669, 2013.

10. Yi Yang, Zhigang Ma, Feiping Nie, Xiaojun Chang, Alexander Hauptmann. "Multi-Class Active Learning by Uncertainty Sampling with Diversity Maximization." International Journal of Computer Vision, 113(2):113-127, 2015.

11. Y. Yang, F. Nie, D. Xu, J. Luo, Y. Zhuang and Y. Pan, "A Multimedia Retrieval Framework based on Semi-Supervised Ranking and Relevance Feedback", in IEEE Transactions on Pattern Analysis and Machine Intelligence34(5):723-742, 2012

12 Zhedong Zheng, Liang Zheng and Yi Yang. Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro. International Conference on Computer Vision (ICCV), Venice, Italy, 2017

13. Hehe Fan, Xiaojun Chang, De Cheng, Yi Yang, Dong Xu and Alexander G. Hauptmann. Complex Event Detection by Identifying Reliable Shots from Untrimmed Videos. International Conference on Computer Vision (ICCV), Venice, Italy, 2017.

14. X. Chang, Y. Yu and Y. Yang, Robust Top-k Multi-class SVM for Visual Category Recognition, ACM KDD 2017.

15. Linchao Zhu, Zhong。wen Xu, Yi Yang, Bidirectional Multirate Reconstruction for Temporal Modeling in Videos, CVPR 2017.

16. Liang Zheng, Hengheng Zhang, Shaoyan Sun, Manmohan Chandraker, Yi Yang, and Qi Tian . Person Re-identification in the Wild. CVPR 2017.

17. Zhongwen Xu , Linchao Zhu and Yi Yang, Few-Shot Object Recognition from Machine-Labeled Web Images, CVPR 2017.

18. Xuanyi Dong, Junshi Huang, Yi Yang, Shuicheng Yan. More is Less: A More Complicated Network with Less Inference Complexity. CVPR 2017.

19. M. Luo, F. Nie, X. Chang, Y. Yang, A. Hauptmann, and Q. Zheng, Probabilistic Non-negative Matrix Factorization and its Robust Extensions for Topic Modeling, AAAI 2017.

20. Yan Yan, Tianbao Yang, Yi Yang, Jianhui Chen. A Framework of Online Learning with Imbalanced Streaming Data. In Thirty-First AAAI Conference on Artificial Intelligence (AAAI) 2017.


其他信息