Localized Content-Based Image Retrieval Using Semi-Supervised Multiple Instance Learning. - Dan Zhang 007; Zhenwei Shi; Yangqiu Song; Changshui Zhang (ACCV (1), 2007)

Multi-Pitch Estimation Based on Partial Event and Support Transfer. - Zhiyao Duan; Dan Zhang 007; Changshui Zhang; Zhenwei Shi (ICME, 2007)

A Fixed-Point Algorithm for Blind Separation of Temporally Correlated Sources. - Zhenwei Shi; Dan Zhang 007; Changshui Zhang (ICME, 2007)

An experimental evaluation of ensemble methods for EEG signal classification. - Shiliang Sun; Changshui Zhang; Dan Zhang 007 (Pattern Recognit. Lett., 2007)

Multi-View Local Learning. - Dan Zhang 007; Fei Wang 001; Changshui Zhang; Tao Li 001 (AAAI, 2008)

Localized content based image retrieval by multiple instance active learning. - Dan Zhang 007; Fei Wang 001; Zhenwei Shi; Changshui Zhang (ICIP, 2008)

Semi-Supervised Classification with Universum. - Dan Zhang 007; Jingdong Wang 001; Fei Wang 001; Changshui Zhang (SDM, 2008)

MACBSE: Extracting signals with linear autocorrelations. - Zhenwei Shi; Dan Zhang 007; Changshui Zhang (Neurocomputing, 2008)

Multiple Instance Transfer Learning. - Dan Zhang 007; Luo Si (ICDM Workshops, 2009)

M3IC: Maximum Margin Multiple Instance Clustering. - Dan Zhang 007; Fei Wang 001; Luo Si; Tao Li 001 (IJCAI, 2009)

Modeling search response time. - Dan Zhang 007; Luo Si (SIGIR, 2009)

Semi-supervised discriminative classification with application to tumorous tissues segmentation of MR brain images. - Yangqiu Song; Changshui Zhang; Jianguo Lee; Fei Wang 001; Shiming Xiang; Dan Zhang 007 (Pattern Anal. Appl., 2009)

ALPOS: A Machine Learning Approach for Analyzing Microblogging Data. - Dan Zhang 007; Yan Liu 002; Richard D. Lawrence; Vijil Chenthamarakshan (ICDM Workshops, 2010)

Interactive localized content based image retrieval with multiple-instance active learning. - Dan Zhang 007; Fei Wang 001; Zhenwei Shi; Changshui Zhang (Pattern Recognit., 2010)

Transfer Latent Semantic Learning: Microblog Mining with Less Supervision. - Dan Zhang 007; Yan Liu 002; Richard D. Lawrence; Vijil Chenthamarakshan (AAAI, 2011)

Learning with Minimum Supervision: A General Framework for Transductive Transfer Learning. - Mohammad Taha Bahadori; Yan Liu 002; Dan Zhang 007 (ICDM, 2011)

Multi-view transfer learning with a large margin approach. - Dan Zhang 007; Jingrui He; Yan Liu 002; Luo Si; Richard D. Lawrence (KDD, 2011)

Serendipitous learning: learning beyond the predefined label space. - Dan Zhang 007; Yan Liu 002; Luo Si (KDD, 2011)

Multiple Instance Learning on Structured Data. - Dan Zhang 007; Yan Liu 002; Luo Si; Jian Zhang 003; Richard D. Lawrence (NIPS, 2011)

Composite hashing with multiple information sources. - Dan Zhang 007; Fei Wang 001; Luo Si (SIGIR, 2011)

Document clustering with universum. - Dan Zhang 007; Jingdong Wang 001; Luo Si (SIGIR, 2011)

Query Expansion and Message-Passing Algorithms for TREC Microblog Track. - Dzung Hong; Qifan Wang 001; Dan Zhang 007; Luo Si (TREC, 2011)

Maximum Margin Multiple Instance Clustering With Applications to Image and Text Clustering. - Dan Zhang 007; Fei Wang 001; Luo Si; Tao Li 001 (IEEE Trans. Neural Networks, 2011)

A Discriminative Data-Dependent Mixture-Model Approach for Multiple Instance Learning in Image Classification. - Qifan Wang 001; Luo Si; Dan Zhang 007 (ECCV (4), 2012)

Sentiment detection with auxiliary data. - Dan Zhang 007; Luo Si; Vernon Rego (Inf. Retr., 2012)

Dealing with ambiguous and partial supervision in complex information retrieval applications - Dan Zhang 007 (2012)

Weighted hashing for fast large scale similarity search. - Qifan Wang 001; Dan Zhang 007; Luo Si (CIKM, 2013)

MILEAGE: Multiple Instance LEArning with Global Embedding. - Dan Zhang 007; Jingrui He; Luo Si; Richard D. Lawrence (ICML (3), 2013)

MI2LS: multi-instance learning from multiple informationsources. - Dan Zhang 007; Jingrui He; Richard D. Lawrence (KDD, 2013)

Semantic hashing using tags and topic modeling. - Qifan Wang 001; Dan Zhang 007; Luo Si (SIGIR, 2013)

Learning to Hash with Partial Tags: Exploring Correlation between Tags and Hashing Bits for Large Scale Image Retrieval. - Qifan Wang 001; Luo Si; Dan Zhang 007 (ECCV (3), 2014)

Which Tweets Will Be Headlines? A Hierarchical Bayesian Model for Bridging Social Media and Traditional Media. - Dan Zhang 007; Yan Liu 002; Luo Si (SNAKDD, 2014)

A general framework for scalable transductive transfer learning. - Mohammad Taha Bahadori; Yan Liu 002; Dan Zhang 007 (Knowl. Inf. Syst., 2014)