Hanmo Wang, Liang Du*, Peng Zhou, Lei Shi, YuHua Qian and Yi-Dong Shen. Localized Multiple Kernel Experimental Design. in Proceedings of the Fifteenth IEEE International Conference on Data Mining (ICDM), pages xxx-xxx, Atlantic City, NJ, USA, November 14–17, 2015, To appear. (Regular paper, acceptance rate 68/807 = 8.4%).

NanNan Gu, MingYu Fan, Di Wang, LiHao Jia and Liang Du. Semi-supervised classification based on affine subspace sparse representation. Science in China-Series F: Information Sciences, 2015, To appear. [pdf]

Liang Du and Yi-Dong Shen. Unsupervised Feature Selection with Adaptive Structure Learning. in Proceedings of the 21th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pages 209-218, Sydney, Australia, August 10–13, 2015. (Oral paper, Acceptance rate 159/819 = 19.41%). [pdf][codes][slide][poster]

Nannan Gu, Mingyu Fan, Liang Du, Dongchun Ren. Efficient Sequential Feature Selection Based on Adaptive Eigenspace Model. Neurocomputing, Volume 161, Pages 199–209, August 2015. [pdf]

Liang Du, Peng Zhou, Lei Shi, Hanmo Wang, Mingyu Fan, Wenjian Wang, Yi-Dong Shen. Robust Multiple Kernel K-means Clustering using L21-norm. in Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI), pages 3476-3482, Buenos Aires, Argentinean, July 25-31, 2015. (Oral paper, acceptance rate 575/1996 = 28.8%). [pdf][codes]

Peng Zhou, Liang Du*, Lei Shi, Hanmo Wang, Yi-Dong Shen. Recovery of Corrupted Multiple Kernels for Clustering. in Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI), pages 4105-4111, Buenos Aires, Argentinean, July 25-31, 2015. (Oral paper, acceptance rate 575/1996 = 28.8%). [pdf]

Peng Zhou, Liang Du*, Hanmo Wang, Lei Shi, Yi-Dong Shen. Learning a Robust Consensus Matrix for Clustering Ensemble via Kullback-Leibler Divergence Minimization. in Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI), pages 4112-4118, Buenos Aires, Argentinean, July 25-31, 2015. (Oral paper, acceptance rate 575/1996 = 28.8%). [pdf]

Peng Zhou, Liang Du, Mingyu Fan, and Yi-Dong Shen. An LLE based Heterogeneous Metric Learning for Cross-media Retrieval. In Proceedings of the Eleventh SIAM International Conference on Data Mining (SDM), pages 64-72, Vancouver, British Columbia, Canda, April 30-May 2, 2015. (Oral paper, acceptance rate 72/491 = 14.66%). [pdf]

Hanmo Wang, Liang Du and Yi-Dong Shen. Convex Batch Mode Active Sampling via alpha-relative Pearson Divergence. The Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), pages 3045-3051, Austin Texas, USA, January 25-29, 2015. (Acceptance rate 531/1991 = 26.67%). [pdf]

Liang Wu, Liang Du, Bo Liu, Guandong Xu, Yong Ge, Yanjie Fu, Yuanchun Zhou, Jianhui Li and Hui Xiong. Heterogeneous Metric Learning with Content-based Regularization for Software Artifact Retrieval. The 14th IEEE International Conference on Data Mining (ICDM), pages 610-619, Shenzhen, China, December 14-17, 2014. (Regular paper, acceptance rate 71/727 = 9.7%). [pdf]

Lei Shi, Liang Du and Yi-Dong Shen. Robust Spectral Learning for Unsupervised Feature Selection. The 14th IEEE International Conference on Data Mining (ICDM), pages 977-982, Shenzhen, China, December 14-17, 2014. [pdf][codes]

Liang Du, Zhiyong Shen, Xuan Li, Peng Zhou and Yi-Dong Shen. Local and Global Discriminative Learning for Unsupervised Feature Selection. The 13th IEEE International Conference on Data Mining (ICDM), pages 131-140, Dallas, TX, USA, December 7-10, 2013. (Regular paper, acceptance rate 94/809 = 11.6%). [pdf]

Jun Deng, Liang Du and Yi-Dong Shen. Heterogeneous Metric Learning for Cross-Modal Multimedia Retrieval, The 14th International Conference on Web Information System Engineering (WISE), pages 43-56, Nanjing, China, October 13-15, 2013. [pdf]

Liang Du and Yi-Dong Shen. Towards robust co-clustering. The 23rd International Joint Conference on Artificial Intelligence (IJCAI, pages 1317-1322, Beijing, China, August 3-9, 2013. (Oral paper, acceptance rate 195/1473=13.2%). [pdf]

Liang Du and Yi-Dong Shen. Joint clustering and feature selection. The 14th International Conference on Web-Age Information Management (WAIM), pages 253-264, Beidaihe, China, June 14-16, 2013. [pdf]

Liang Du and Yi-Dong Shen, Zhiyong Shen, Jianying Wang and Zhiwu Xu. A self-supervised framework for clustering ensemble. The 14th International Conference on Web-Age Information Management (WAIM), pages 253-264, Beidaihe, China, June 14-16, 2013. [pdf]

Xuan Li, Liang Du and Yi-Dong Shen. Update summarization via graph-based sentence ranking. IEEE Transactions on Knowledge and Data Engineering (TKDE), May 2013, vol.25, no.5, pages 1162-1174. [pdf]

Liang Wu, Alvin Chin, Guandong Xu, Liang Du, Xia Wang, Kangjian Meng, Yonggang Guo and Yuanchun Zhou. Who Will Follow Your Shop? Exploiting Multiple Information Sources in Finding Followers. Database Systems for Advanced Applications (DASFAA), pages 401-415, Wuhan, China, April 22-25, 2013. [pdf]

Liang Du Xuan Li and Yi-Dong Shen. Robust nonnegative matrix factorization via half-quadratic minimization. In Proceedings of IEEE 12th International Conference on Data Mining (ICDM), pages 201-210, Brussels, Belgium, December 10-13, 2012. (Regular paper, acceptance rate 81/756=10.7%). [pdf]

Liang Du, Xuan Li, and Yi-Dong Shen. User Graph Regularized Pairwise Matrix Factorization for Item Recommendation, in Proceedings of the 7th International Conference on Advanced Data Mining and Applications (ADMA), pages 372-385, Beijing, China, December 18-20, 2011. [pdf]

Liang Du, Xuan Li, and Yi-Dong Shen. Cluster Ensembles via Weighted Graph Regularized Nonnegative Matrix Factorization, in Proceedings of the 7th International Conference on Advanced Data Mining and Applications (ADMA), pages 215-228, Beijing, China, December 18-20, 2011. [pdf]

Xuan Li, Liang Du, and Yi-Dong Shen. Graph-Based Marginal Ranking for Update Summarization, in Proceedings of the 11th SIAM International Conference on Data Mining (SDM), pages 486-497, Arizona, USA, April 28-30, 2011. [pdf]

Zhiyong Shen, Liang Du, Xukun Shen, and Yi-Dong Shen. Interval-valued Matrix Factorization with Applications, in  Proceedings of the 10th IEEE International Conference on Data Mining (ICDM), pages 1037-1042, Sydney, Australia, December 14-17, 2010. [pdf]

Xuan Li, Yi-Dong Shen, Liang Du, and Chen-Yan Xiong. Exploiting novelty, coverage and balance for topic-focused multi-document summarization, in Proceedings of the 19th ACM Conference on Information and Knowledge Management (CIKM), pages 1765-1768, Toronto, Canada, October 26-30, 2010. [pdf]