Name:Guiguang Ding
Position:Associate Professor
Dr. Guiguang Ding is currently an associate professor of Tsinghua University. He received his Ph.D degree in electronic engineering from the University of Xidian. Before joining school of software in 2006, he worked as a postdoctoral researcher in automation department of Tsinghua university. His current research centers on the area of multimedia information retrieval and management, in particular, visual object classification, automatic semantic annotation, content-based multimedia indexing, social multimedia retrieval, mining and recommendation. He has published about 40 research papers in international conferences and journals and applied for 8 Patent Rights in China.

Areas of Research Interests/ Research Projects:

Computer vision based on deep learning
Image/Video annotation and captioning
Image/Video Retrieval

Academic Achievement:

1. Yuchen Guo,Guiguang Ding,Li Liu,Jungong Han,Ling Shao,Learning to Hash with Optimized Anchor Embedding for Scalable Retrieval,IEEE Transactions on Image Processing,2017.03.01,26(3):1344~1354
2. Minghai Chen,Guiguang Ding,Sicheng Zhao,Hui Chen,Jungong Han,Qiang Liu,Reference Based LSTM for Image Captioning,31st AAAI Conference on Artificial Intelligence 2017,San Francisco, California USA,2017.2.4-2017.2.9 AAAI2017: 3981-3987
3. Yuchen Guo,Guiguang Ding,Jungong Han,Yue Gao,Zero-shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels,31st AAAI Conference on Artificial Intelligence 2017,San Francisco, California USA,2017.2.4-2017.2.9  AAAI2017:4061-4067 
4. Tianxiang Pan,Bin Wang,Guiguang Ding,Junhai Yong,Fully Convolutional Neural Networks with full-scale-features for Semantic Segmentation,31st AAAI Conference on Artificial Intelligence 2017,San Francisco, California, USA,2017.2.4-2017.2.9 AAI2017: 4240-4246
5. Yuchen Guo,Guiguang Ding,Jianmin Wang,Xiaoming Jin,Active Learning with Cross-Class Knowledge Transfer,30th AAAI Conference on Artificial Intelligence 2016,Phoenix, Arizona USA,2016.2.12-2016.2.17 ,1624-1630
6. Li Liu,Zijia Lin,Fuming Shen,Ling Shao,Guiguang Ding,Jungong Han,Sequential Discrete Hashing for Scalable Cross-modality Similarity Retrieval,IEEE Transactions on Image Processing,2017.01.01,26(1):107~118
7. Ding, Guiguan,Guo, Yuchen,Zhou, Jile,Gao, Yue,Large-Scale Cross-Modality Search via Collective Matrix Factorization Hashing,IEEE Transactions on Image Processing,2016.11.01,25(11):5427~5440
8. Sicheng Zhao,Hongxun Yao,Yue Gao,Rongrong Ji,Guiguang Ding,Continuous Probability Distribution Prediction of Image Emotions via Multi-Task Shared Sparse Regression,IEEE Transactions on Multimedia,2016.10.13,19(3):632~645
9. Yuchen Guo,Guiguang Ding,Yue Gao,Jianmin Wang,Semi-supervised Active Learning with Cross-class Sample Transfer,25th International Joint Conference on Artificial Intelligence (IJCAI), 2016,New York City USA,2016.7.9-2016.7.15,1526-1532 
10. Yuchen Guo,Guiguang Ding,Jungong Han,Xiaoming Jin,Robust Iterative Quantization for Efficient lp-norm Similarity Search,25th International Joint Conference on Artificial Intelligence (IJCAI), 2016,New York City USA,2016.7.9-2016.7.15 ,3382-3388 
11. Wenshuo Chen,Guiguang Ding,Zijia Lin,Accelerated Manhattan hashing via bit-remapping with location information,Multimedia Tools and Applications,2016.01.26,76(2):2441~2466
12. Zijia Lin,Guiguang Ding,Semantics-preserving hashing for cross-view retrieval,IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2015,Boston, MA, USA,2015.07.07-2015.07.12 3846-3872
13. Zihan Zhang,Xiaoming Jin,Lianghao Li,Guiguang Ding,Qiang Yang,Multi-Domain Active Learning for Recommendation,30th AAAI Conference on Artificial Intelligence, AAAI 2016,Phoenix, AZ, United states,2016.2.12-2016.2.17 , 2358-2364 
14. Yuchen Guo,Guiguang Ding,Xiaoming Jin,Jianmin Wang,Transductive Zero-Shot Recognition via Shared Model Space Learning,30th AAAI Conference on Artificial Intelligence 2016,Phoenix, Arizona USA,2016.2.12-2016.2.17,3434-3500
15. Yuchen Guo,Guiguang Ding,Xiaomin Jin,Jianmin Wang,Learning Predictable and Discriminative Attributes for Visual Recognition,29th AAAI Conference on Artificial Intelligence (AAAI 2015),Austin, TX, USA,2015.1.25-2015.1.29  ,3783-3789
16. Zijia Lin,Guiguang,MIngqing Hu,Image auto-annotation via tag-dependent random search over range-constrained visual neighbours,Multimedia Tools and Applications,2015.01.01,74(11):4091~4116
17. Guiguang Ding,Yuchen Guo,Jile Zhou,Collective Matrix Factorization Hashing for Multimodal Data,IEEE Conference on Computer Vision and Pattern Recognition 2014, CVPR 2014,Columbus, OH, USA,2014.6.24-2014.6.27
18. Zijia Lin,Guiguang Ding,Mingqing Hu,Jianmin Wang,Xiaojun Ye,Image tag completion via image-specific and tag-specific linear sparse reconstructions,26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2013,Portland, OR, United states,2013.6.23-2013.6.28
19. Lin, Zijia,Ding, Guiguang,Hu, Mingqing,Lin, Yunzhen,Ge, Shuzhi Sam,Image tag completion via dual-view linear sparse reconstructions,Computer Vision and Image Understanding,2014.7.01,124:42~60
20. Jile Zhou,Guiguang Ding,Yuchen Guo,Latent semantic sparse hashing for cross-modal similarity search,37th International {ACM} {SIGIR} Conference 2014,Gold Coast, QLD, AU,2014.7.6-2014.7.11,415-424  
21. Zijia Lin,Guiguang Ding,Mingqing Hu,Jianmin Wang,Multi-label Classification via Feature-aware Implicit Label Space Encoding,Proceedings of the 31th International Conference on Machine Learning (ICML), 2014,Beijing, China,2014.6.21-2014.6.26,325-333
22. Weishi Zhang,Guiguang Ding,Li Chen,Chengbo Zhang,Chunping Li,Generating virtual ratings from chinese reviews to augment online recommendations,ACM Transactions on Intelligent Systems and Technology,2013.01.01,4(1):1~17 Z. Lin, G. Ding, M. Hu, et al.  Image Tag Completion via Image-Specific Linear