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2009

[1] Yun Chi, Shenghuo Zhu, Koji Hino, Yihong Gong, and Yi Zhang. iOLAP: A framework for analyzing the internet, social networks, and other networked data. IEEE Transactions on Multimedia, 2009. to appear.
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[2] Yu-Ru Lin, Yun Chi, Shenghuo Zhu, Hari Sundaram, and Belle L. Tseng. Analyzing communities and their evolutions in dynamic social networks. ACM Transactions on Knowledge Discovery from Data, 2009. to appear.
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[3] Shenghuo Zhu, Kai Yu, and Yihong Gong. Stochastic relational models for large-scale dyadic data using MCMC. In NIPS '08: Advances in Neural Information Processing Systems 21, Cambridge, MA, 2009. MIT Press. to appear.
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2008

[4] Tao Li, Mitsunori Ogihara, Wei Peng, Bo Shao, and Shenghuo Zhu. Music clustering with features from different information sources. IEEE Transactions on Multimedia, 2008. to appear.
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[5] Feng Liu, Jinjun Wang, Shenghuo Zhu, Michael Gleicher, and Yihong Gong. Visual-quality optimizing super resolution. Computer Graphics Forum, 2008. to appear.
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[6] Shenghuo Zhu, Dingding Wang, Tao Li, Kai Yu, and Yihong Gong. Feature selection for gene expression using model-based entropy. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2008. preprint.
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[7] Feng Liu, Jinjun Wang, Shenghuo Zhu, Michael Gleicher, and Yihong Gong. Noisy video super-resolution. In MM '08: Proceedings of the 16th ACM International Conference on Multimedia, pages 713-716, Vancouver, Canada, 2008.
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[8] Yun Chi, Shenghuo Zhu, Yihong Gong, and Yi Zhang. Probabilistic polyadic factorization and its application to personalized recommendation. In CIKM '08: Proceedings of the 17th ACM Conference on Information and Knowledge Management, pages 941-950, New York, NY, USA, 2008. ACM.
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[9] Dingding Wang, Shenghuo Zhu, Yun Chi, and Tao Li. Integrating clustering and multi-document summarization to improve document understanding. In CIKM '08: Proceedings of the 17th ACM Conference on Information and Knowledge Management, pages 1435-1436, New York, NY, USA, 2008. ACM.
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[10] Shenghuo Zhu, Tao Li, Zhiyuan Chen, Dingding Wang, and Yihong Gong. Dynamic active probing of helpdesk databases. In VLDB '08: Proceedings of the 34th International Conference on Very Large Data Bases, pages 748-760. VLDB Endowment, 2008.
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[11] Kai Yu, Shenghuo Zhu, Wei Xu, and Yihong Gong. Non-greedy active learning for text categorization using convex ansductive experimental design. In SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, pages 635-642, New York, NY, USA, 2008. ACM.
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[12] Dingding Wang, Tao Li, Shenghuo Zhu, and Chris Ding. Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization. In SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, pages 307-314, New York, NY, USA, 2008. ACM.
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[13] Tao Li, Shenghuo Zhu, and Mitsunori Ogihara. Text categorization via generalized discriminant analysis. Information Processing and Management, 44(5):1684-1697, 2008.
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[14] Ding Zhou, Shenghuo Zhu, Kai Yu, Xiaodan Song, Belle L. Tseng, Hongyuan Zha, and C. Lee Giles. Learning multiple graphs for document recommendations. In WWW '08: Proceeding of the 17th international conference on World Wide Web, pages 141-150, New York, NY, USA, 2008. ACM.
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[15] Yu-Ru Lin, Yun Chi, Shenghuo Zhu, Hari Sundaram, and Belle L. Tseng. Facetnet: a framework for analyzing communities and their evolutions in dynamic networks. In WWW '08: Proceeding of the 17th international conference on World Wide Web, pages 685-694, New York, NY, USA, 2008. ACM.
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[16] Shenghuo Zhu, Kai Yu, and Yihong Gong. Predictive matrix-variate t models. In J.C. Platt, D. Koller, Y. Singer, and S. Roweis, editors, NIPS '07: Advances in Neural Information Processing Systems 20, pages 1721-1728. MIT Press, Cambridge, MA, 2008.
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2007

[17] Jinjun Wang, Wei Xu, Shenghuo Zhu, and Yihong Gong. Efficient video object segmentation by graph-cut. In ICME '07: IEEE International Conference on Multimedia and Expo, pages 496-499, July 2007.
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[18] Ka Cheung Sia, Shenghuo Zhu Yun Chi, Koji Hino, and Belle L. Tseng. Capturing user interests by both exploitation and exploration. In UM '07: Proceedings of User Modeling, pages 334-339, 2007.
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[19] Ka Cheung Sia, Junghoo Cho, Koji Hino, Yun Chi, Shenghuo Zhu, and Belle L. Tseng. Monitoring RSS feeds based on user browsing pattern. In ICWSM '07: International Conference on Weblogs and Social Media, 2007.
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[20] Shenghuo Zhu, Kai Yu, Yun Chi, and Yihong Gong. Combining content and link for classification using matrix factorization. In SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, pages 487-494, New York, NY, USA, 2007. ACM Press.
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[21] Yun Chi, Shenghuo Zhu, Xiaodan Song, Junichi Tatemura, and Belle L. Tseng. Structural and temporal analysis of the blogosphere through community factorization. In KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 163-172, New York, NY, USA, 2007. ACM.
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[22] Tao Li, Shenghuo Zhu, and Mitsunori Ogihara. Hierarchical document classification using automatically generated hierarchy. J. Intell. Inf. Syst., 29(2):211-230, 2007.
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2006

[23] Chengliang Zhang, Shenghuo Zhu, and Yihong Gong. Trend analysis for large document streams. In ICMLA '06: Proceedings of the 5th International Conference on Machine Learning and Applications, pages 285-295, Washington, DC, USA, 2006. IEEE Computer Society.
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[24] Xiang Ji, Wei Xu, and Shenghuo Zhu. Document clustering with prior knowledge. In SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, pages 405-412, New York, NY, USA, 2006. ACM.
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[25] Tao Li, Shenghuo Zhu, and Mitsunori Ogihara. Using discriminant analysis for multi-class classification: an experimental investigation. Knowl. Inf. Syst., 10(4):453-472, 2006.
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[26] Tao Li, Chengliang Zhang, and Shenghuo Zhu. Empirical studies on multi-label classification. In ICTAI '06: Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence, pages 86-92, Washington, DC, USA, 2006. IEEE Computer Society.
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[27] Tao Li, Mitsunori Ogihara, and Shenghuo Zhu. Integrating features from different sources for music information retrieval. In ICDM '06: Sixth International Conference on Data Mining, pages 372-381, Dec. 2006.
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2005

[28] Weihua Sheng, Qizhi Wang, Qingyan Yang, and Shenghuo Zhu. Minimizing data exchange in ad hoc multi-robot networks. In ICAR '05: Proceedings 12th International Conference on Advanced Robotics, pages 811-816, July 2005.
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[29] Tao Li and Shenghuo Zhu. On clustering binary data. In SDM'05: Proceedings of the 2005 SIAM International Conference On Data Mining, pages 526-530, 2005.
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[30] Tao Li and Shenghuo Zhu. Hierarchical document classification using automatically generated hierarchy. In SDM'05: Proceedings of the 2005 SIAM International Conference On Data Mining, pages 521-525, 2005.
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[31] Shenghuo Zhu, Xiang Ji, Wei Xu, and Yihong Gong. Multi-labelled classification using maximum entropy method. In SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, pages 274-281, New York, NY, USA, 2005. ACM.
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[32] Weihua Sheng, Qingyan Yang, Shenghuo Zhu, and Qizhi Wang. Efficient map synchronization in ad hoc mobile robot networks for environment exploration. In IROS '05: IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 2297-2302, Aug. 2005.
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2004

[33] Paat Rusmevichientong, Shenghuo Zhu, and David Selinger. Identifying early buyers from purchase data. In KDD '04: Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, pages 671-677, New York, NY, USA, 2004. ACM.
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2003

[34] Tao Li, Shenghuo Zhu, and Mitsunori Ogihara. Using discriminant analysis for multi-class classification. In ICDM '03: Third IEEE International Conference on Data Mining, pages 589-592, Nov. 2003.
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[35] Tao Li, Shenghuo Zhu, and Mitsunori Ogihara. Algorithms for clustering high dimensional and distributed data. Intell. Data Anal., 7(4):305-326, 2003.
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[36] Tao Li, Mitsunori Ogihara, and Shenghuo Zhu. Association-based similarity testing and its applications. Intell. Data Anal., 7(3):209-232, 2003.
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[37] Tao Li, Shenghuo Zhu, and Mitsunori Ogihara. Topic hierarchy generation via linear discriminant projection. In SIGIR '03: Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval, pages 421-422, New York, NY, USA, 2003. ACM.
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[38] Tao Li, Shenghuo Zhu, Qi Li, and Mitsunori Ogihara. Gene functional classification by semi-supervised learning from heterogeneous data. In SAC '03: Proceedings of the 2003 ACM symposium on Applied computing, pages 78-82, New York, NY, USA, 2003. ACM.
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[39] Tao Li, Shenghuo Zhu, and Mitsunori Ogihara. A new distributed data mining model based on similarity. In SAC '03: Proceedings of the 2003 ACM symposium on Applied computing, pages 432-436, New York, NY, USA, 2003. ACM.
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[40] Qi Li, Chris Brown, Chandra Kambhamettu, Tao Li, and Shenghuo Zhu. A framework of individually-focused teleconferencing (IFT) via an efficient 3d reprojection technique. In SAC '03: Proceedings of the 2003 ACM symposium on Applied computing, pages 951-955, New York, NY, USA, 2003. ACM.
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[41] Tao Li, Shenghuo Zhu, and Mitsunori Ogihara. Efficient multi-way text categorization via generalized discriminant analysis. In CIKM '03: Proceedings of the twelfth international conference on Information and knowledge management, pages 317-324, New York, NY, USA, 2003. ACM.
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2002

[42] Tao Li, Shenghuo Zhu, Mitsunori Ogihara, and Yinhe Cheng. Estimating joint probabilities from marginal ones. In Y. Kambayashi, W. Winiwarter, and M. Arikawa, editors, DaWaK: Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery, volume 2454 of LNCS, pages 31-41, London, UK, 2002. Springer-Verlag.
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[43] Shenghuo Zhu, Tao Li, and Mitsunori Ogihara. CoFD: An algorithm for non-distance based clustering in high dimensional spaces. In Y. Kambayashi, W. Winiwarter, and M. Arikawa, editors, DaWaK: Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery, volume 2454 of LNCS, pages 52-62, London, UK, 2002. Springer-Verlag.
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[44] Shenghuo Zhu and Dana H. Ballard. Overcoming non-stationary in uncommunicative learning. TR 762, University of Rochester, Computer Science Department, 2002.
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[45] Shenghuo Zhu and Tao Li. A non-distance based clustering algorithm. In IJCNN '02: Proceedings of the 2002 International Joint Conference on Neural Networks, volume 3, pages 2357-2362, 2002.
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[46] Chen Yu, Dana H. Ballard, and Shenghuo Zhu. Attentional object spotting by integrating multimodal input. In Proceedings. Fourth IEEE International Conference on Multimodal Interfaces, pages 287-292, 2002.
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[47] Qi Li, Tao Li, Shenghuo Zhu, and Chandra Kambhamettu. How well can wavelet denoising improve the accuracy of computing fundamental matrices? In Proceedings. Workshop on Motion and Video Computing, pages 247-252, Dec. 2002.
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[48] Qi Li, Tao Li, Shenghuo Zhu, and Chandra Kambhamettu. Improving medical/biological data classification performance by wavelet preprocessing. In ICDM '02: Proceedings IEEE International Conference on Data Mining, pages 657-660, 2002.
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[49] Xin Liu, Yihong Gong, Wei Xu, and Shenghuo Zhu. Document clustering with cluster refinement and model selection capabilities. In SIGIR '02: Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval, pages 191-198, New York, NY, USA, 2002. ACM.
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[50] Tao Li, Qi Li, Shenghuo Zhu, and Mitsunori Ogihara. A survey on wavelet applications in data mining. SIGKDD Explor. Newsl., 4(2):49-68, 2002.
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2001

[51] Tao Li, Shenghuo Zhu, and Mitsunori Ogihara. Mining patterns from case base analysis. In Workshop on Integrating Data Mining and Knowledge Management, San Jose, CA, 2001.
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1998

[52] Xin Liu, Ming Zhou, Shenghuo Zhu, and Changning Huang. Aligning sentences in parallel corpora using self-extracted lexical information. Chinese Journal of Computers, S1:151-158, 1998. in Chinese.
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[53] Shenghuo Zhu, Ming Zhou, Xin Liu, and Changning Huang. An efficient stochastic context-free parsing algorithm. Journal of Software, 9(8):592-597, 1998. in Chinese.
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