Conference and Journal Papers


2014

1. Qifan Wang, Luo Si, Dan Zhang, Learning to Hash with Partial Tags: Exploring Correlation Between Tags and Hashing Bits for Large Scale Image Retrieval,  European Conference on Computer Vision (ECCV-14), Zurich, Switzerland, 2014
2.Dan Zhang, Yan Liu, Luo Si, Which Tweets Will Be Headlines? A Hierarchical Bayesian Model for Bridging Social Media and Traditional Media,  The 8th Workshop on Social Network Mining and Analysis for Business, Consumer and Social Insigts (SNA-KDD), New York, 2014

2013

1. Qifan Wang, Dan Zhang, Luo Si, Semantic Hashing using Tags and Topic Modeling,  Annual International ACM SIGIR Conference (SIGIR-13), full paper, Dublin, Ireland, 2013
2. Dan Zhang, Jingrui He, Luo Si, Richard Lawrence, MILEAGE: Multiple Instance LEArning with Global EmbeddingIn International Conference on Machine Learning (ICML), Atlanta, 2013
3. Dan Zhang, Jingrui He, Richard Lawrence, M2LS: Multi-Instance Learning from Multiple Information Sources , Proceedings of the 19th ACM SIGKDD Int'l Conf. on Knowledge Discovery & Data Mining (SIGKDD 13), oral paper, Chicago, IL, 2013
4. Qifan Wang, Dan Zhang, Luo Si, Weighted Hashing for Fast Large Scale Similarity Search,  ACM International Conference on Information and Knowledge Management (CIKM 2013), Burlingame, CA, 2013
5. Mohammad Taha Bahadori, Yan Liu, and Dan Zhang, "A General Framework for Scalable Transductive Transfer Learning", To appear in Knowledge and Information Systems (KAIS), 2013.

2012

1. Qifan Wang, Luo Si, Dan Zhang, A Discriminative Data-dependent Mixture-Model Approach for Multiple Instance Learning in Image Classification,  In Proceedings of the 12th European Conference on Computer Vision (ECCV-12), Firenze, Italy, 2012
2. Dan Zhang, Luo Si, Vernon J. Rego, Sentiment Detection with Auxiliary Data . Journal of Information Retrieval (IR), accepted, 2012.

2011

1. Dan Zhang, Fei Wang, Luo Si, Composite Hashing with Multiple Information Sources,  In Proceedings of the 34th Annual International ACM SIGIR Conference (SIGIR-11), full paper, Beijing, China, 2011 (pdf:415K) (code&data)
2. Dan Zhang, Jingdong Wang, Luo Si, Document Clustering with Universum,  In Proceedings of the 34th Annual International ACM SIGIR Conference (SIGIR-11), full paper, Beijing, China, 2011 (pdf:440K) (code&data)
3. Dan Zhang, Yan Liu, Richard D. Lawrence, Vijil Chenthamarakshan. Transfer Latent Semantic Learning: Microblog Mining with Less Supervision, Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI 11), oral and poster presentation, San Francisco, 2011 (pdf:198K)
4. Dan Zhang, Yan Liu, Luo Si, Serendipitous Learning: Learning Beyond the Predefined Label Space, Proceedings of the 17th ACM SIGKDD Int'l Conf. on Knowledge Discovery & Data Mining (SIGKDD 11), San Diego, CA, 2011(pdf:501K) (code&data)
5. Dan Zhang, Jingrui He, Yan Liu, Luo Si, Richard D. Lawrence, Multi-View Transfer Learning with a Large Margin Approach, Proceedings of the 17th ACM SIGKDD Int'l Conf. on Knowledge Discovery & Data Mining (SIGKDD 11), San Diego, CA, 2011 (pdf:245K )(code&data)
6. Dan Zhang, Yan Liu, Luo Si, Jian Zhang, Richard D. Lawrence, Multiple Instance Learning on Structred Data, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), Granada, Spain, 2011. (pdf:363K) (supplemental material:146K )(code&data)
7. Mohammad Taha Bahadori, Yan Liu, Dan Zhang, Learning with Minimum Supervision: A General Framework for Transductive Transfer Learning, IEEE International Conference on Data Mining (ICDM), full paper, Vancouver, Canada, 2011 (ICDM'11 best paper candidate for KAIS publication)
8. Dan Zhang, Fei Wang, Luo Si, Tao Li, Maximum Margin Multiple Instance Clustering with its Applications to Image and Text Clustering. IEEE Transaction on Neural Networks (TNN), accepted, 2011. (Manuscript: 379K)

2010

1. Dan Zhang, Yan Liu, Richard D. Lawrence, Vijil Chenthamarakshan. ALPOS: A Machine Learning Approach for Analyzing Microblogging Data, Workshop on Optimization Based Methods for Emerging Data Mining Problems, in Conjunction with the IEEE International Conference on Data Mining (ICDM), Syndey, AU. 
2.  Dan Zhang,  Fei Wang, Zhenwei Shi, Changshui Zhang. Interactive Localized Content-Based Image Retrieval with Multiple Instance Active Learning. Pattern Recognition, Volume 43, Issue 2, February 2010, Pages 478 - 484  (pdf:293K)

2009

1. Dan Zhang, Fei Wang, Luo Si, Tao Li. M^3IC: Maximum Margin Multiple Instance Clustering, the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-09), Pasadena, California, USA, 2009 . (pdf: 196K)
2. Dan Zhang, Luo Si, Modeling Search Response Time,  In Proceedings of the 32th Annual International ACM SIGIR Conference (SIGIR-09), postor, Boston, Massachusetts, USA, 2009. (pdf:155K)
3. Dan Zhang, Luo Si, Multiple Instance Transfer Learning, Workshop on Optimization Based Methods for Emerging Data Mining Problems, in Conjunction with the IEEE International Conference on Data Mining (ICDM), Miami, Florida, USA, 2009 (pdf: 233K)
4. Yangqiu Song, Changshui Zhang, Jianguo Lee, Fei Wang, Shiming Xiang and Dan Zhang. Semi-Supervised Discriminative Method for Tumorous Tissues Segmentation of MR Brain Images. Pattern Analysis and Applications, vol. 12, no. 2. 99-115. 2009. (pdf:1.0MB)

2008

1. Dan Zhang, Jingdong Wang, Fei Wang, Changshui Zhang. Semi-Supervised Classification with Universum, SIAM International Conference on Data Mining (SDM08), Atlanta, Georgia, USA,  2008 .  (pdf: 275K)
2. Dan Zhang, Fei Wang, Changshui Zhang, Tao LiMulti-View Local Learning, Twenty-Third AAAI Conference on Artificial Intelligence (AAAI 08), Chicago, Illinois, USA, oral paper, 2008. (pdf: 251K)
3. Dan Zhang, Fei Wang, Zhenwei Shi, Changshui ZhangLocalized Content-Based Image Retrieval Using Multiple Instance Active Learning, the 15th IEEE International Conference on Image Processing (ICIP 08),  San Diego, California, U.S.A.,  2008. (pdf:147K

2007

1. Zhiyao Duan, Dan Zhang, Changshui Zhang, Zhenwei Shi, Multi-Pitch Estimation Based On Partial Event and Support Transfer. IEEE International Conference on Multimedia & Expo (ICME07), Beijing, China, 2007(pdf: 159K) (Demo)
2. Zhenwei Shi, Dan Zhang, Changshui Zhang, A Fixed-Point Algorithm For Blind Separation of Temporally Correlated Sources. IEEE International Conference on Multimedia & Expo (ICME07), Beijing, China, 2007.  (pdf: 354K)
3. Dan Zhang, Zhenwei Shi, Yangqiu Song and Changshui Zhang. Localized Content-Based Image Retrieval Using Semi-Supervised Multiple Instance Learning. Asian Conference on Computer Vision (ACCV07), Tokyo, Japan, 2007.(pdf:470K)
4. Dan Zhang, Yangqiu Song, Qifeng Qiao, Zhenwei Shi and Changshui Zhang. A Supervised Method to Chart Multiple Manifolds. Asian Conference on Computer Vision (ACCV07) Workshop on Subspace, Tokyo, Japan, 2007.  (pdf:396K)
5. Shiliang Sun, Changshui Zhang, Dan Zhang. An experimental evaluation of ensemble methods for EEG signal classification. Pattern Recognition Letters, in  2007 (pdf:177K)
6. Zhenwei Shi, Dan Zhang and Changshui Zhang, MACBSE: Extracting signals with linear autocorrelations , Neurocomputing , 2007 (pdf:859K)

Patents


1. with Yan Liu, Richard D. Lawrence, Vijil Chenthamarakshan, "A System and Method for Partial Observations", US patent 20130013539, 2013

2. with Daniel Jiang, Linji Yang, Jerry(Wenjie) Fu, "Predicting the Performance of an Advertising Campaign", US 14/292,277, May 2014

System Design


1. with Dung Trung Hong, Qifan Wang, and Luo SiQuery Expansion and Message Passing for TREC Microblog Track, NO.5 out of 59 teams in Microblog Track of TREC competition, 2011