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2011

[1] Ming Yang, Shenghuo Zhu, Fengjun Lv, and Kai Yu. Correspondence driven adaptation for human profile recognition. In CVPR'11: IEEE Conference on Computer Vision and Pattern Recognition, pages 505-512, Colorado Springs, CO, June 20-25, 2011.
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[2] Yuanqing Lin, Fengjun Lv, Shenghuo Zhu, Kai Yu, Ming Yang, and Timothee Cour. Large-scale image classification: fast feature extraction and svm training. In CVPR'11: IEEE Conference on Computer Vision and Pattern Recognition, Colorado Springs, CO, June 20-25, 2011.
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[3] Yanfang Ye, Tao Li, Shenghuo Zhu, Weiwei Zhuang, Egmen Tas, Umesh Gupta, and Melih Abdulhayoglu. Combining file content and file relations for cloud based malware detection. In KDD '11: Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, 2011.
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[4] Pengcheng Xiong, Yun Chi, Shenghuo Zhu, Hyun Jin Moon, Calton Pu, and Hakan Hacigümüs. Intelligent management of virtualized resources for database systems in cloud environment. In ICDE '11: Proceeding of the 27th International Conference on Data Engineering, pages 87 - 98, 2011.
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[5] Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, and Rong Jin. Detecting communities and their evolutions in dynamic social networks - a Bayesian approach. Machine Learning, 82(2):157-189, 2011.
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[6] Dingding Wang, Shenghuo Zhu, Tao Li, Yun Chi, and Yihong Gong. Integrating document clustering and multi-document summarization. ACM Transactions on Knowledge Discovery from Data, 2011.
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[7] Fei Wang, Tao Li, Xin Wang, Shenghuo Zhu, and Chris Ding. Community discovery using nonnegative matrix factorization. Data Mining and Knowledge Discovery, 22(3):493-521, 2011.
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[8] Dingding Wang, Tao Li, Shenghuo Zhu, and Yihong Gong. iHelp: An intelligent online helpdesk system. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 41(1):173-182, 2011.
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2010

[9] Jinjun Wang, Shenghuo Zhu, and Yihong Gong. Driving safety monitoring using semisupervised learning on time series data. Trans. Intell. Transport. Sys., 11:728-737, September 2010.
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[10] Yuanqing Lin, Tong Zhang, Shenghuo Zhu, and Kai Yu. Deep coding networks. In NIPS '10: Advances in Neural Information Processing Systems 23, Cambridge, MA, 2010. MIT Press.
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[11] Yun Chi and Shenghuo Zhu. FacetCube: A framework of incorporating prior knowledge into non-negative tensor factorization. In CIKM '10: Proceeding of the 19th ACM conference on Information and knowledge management, pages 569-578, 2010.
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[12] Zhen Guo, Shenghuo Zhu, Yun Chi, Zhongfei Zhang, and Yihong Gong. A latent topic model for linked documents. In ICPR '10: 20th International Conference on Pattern Recognition, pages 730-733, 2010.
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[13] Zhen Guo, Shenghuo Zhu, Zhongfei Zhang, Yun Chi, and Yihong Gong. A topic model for linked documents and update rules for its estimation. In AAAI '10: the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010.
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[14] Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu, and Irwin King. Smooth optimization for effective multiple kernel learning. In AAAI '10: the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010.
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[15] Shenghuo Zhu, Dingding Wang, Kai Yu, Tao Li, and Yihong Gong. Feature selection for gene expression using model-based entropy. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 7(1), 2010.
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[16] Tianbao Yang, Yun Chi, Shenghuo Zhu, and Rong Jin. Directed network community detection: A popularity and productivity link model. In SDM'10: Proceedings of the 2010 SIAM International Conference On Data Mining, 2010.
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[17] Jinjun Wang, Shenghuo Zhu, and Yihong Gong. Resolution enhancement based on learning the sparse association of image patches. Pattern Recognition Letters, 31(1):1 - 10, 2010.
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2009

[18] Jinjun Wang, Shenghuo Zhu, and Yihong Gong. Resolution-invariant image representation and its applications. In CVPR'09: IEEE Conference on Computer Vision and Pattern Recognition, pages 2512-2519, June 2009.
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[19] Zhen Guo, Zhongfei Zhang, Shenghuo Zhu, Yun Chi, and Yihong Gong. Knowledge discovery from citation networks. In ICDM '09: Ninth IEEE International Conference on Data Mining, pages 800-805, 2009.
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[20] Dingding Wang, Shenghuo Zhu, Tao Li, and Yihong Gong. Comparative document summarization via discriminative sentence selection. In CIKM '09: Proceeding of the 18th ACM conference on Information and knowledge management, pages 1963-1966, New York, NY, USA, 2009. ACM.
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[21] Sarah K. Taylor, Shenghuo Zhu, Yun Chi, and Yi Zhang. Ordering innovators and laggards for product categorization and recommendation. In RecSys '09: Proceedings of the third ACM conference on Recommender systems, pages 29-36, New York, NY, USA, 2009. ACM.
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[22] Dingding Wang, Shenghuo Zhu, Tao Li, and Yihong Gong. Multi-document summarization using sentence-based topic models. In ACL-IJCNLP '09: Joint conference of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2009.
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[23] Kai Yu, Shenghuo Zhu, John Lafferty, and Yihong Gong. Fast nonparametric matrix factorization for large-sale collaborative filtering. In SIGIR '09: Proceedings of the 32nd annual international ACM SIGIR conference on Research and development in information retrieval, pages 211-218, New York, NY, USA, 2009. ACM.
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[24] Zhen Guo, Shenghuo Zhu, Yun Chi, Zhongfei Zhang, and Yihong Gong. A latent topic model for linked documents. In SIGIR '09: Proceedings of the 32nd annual international ACM SIGIR conference on Research and development in information retrieval, pages 720-721, New York, NY, USA, 2009. ACM.
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[25] Tianbao Yang, Rong Jin, Yun Chi, and Shenghuo Zhu. A Bayesian framework for community detection integrating content and link. In UAI '09: Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, 2009.
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[26] Kai Yu, John Lafferty, Shenghuo Zhu, and Yihong Gong. Large-scale collaborative prediction using a nonparametric random effects model. In ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning, pages 1185-1192, New York, NY, USA, 2009. ACM.
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[27] Tianbao Yang, Rong Jin, Yun Chi, and Shenghuo Zhu. Combining link and content for community detection: a discriminative approach. In KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 927-936, New York, NY, USA, 2009. ACM.
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[28] Jinjun Wang, Shenghuo Zhu, and Yihong Gong. Resolution-invariant image representation for content-based zooming. In ICME '09: IEEE International Conference on Multimedia and Expo, pages 918-921, 28 2009-July 3 2009.
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[29] 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, 11(3):372-382, Apr 2009.
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[30] Tao Li, Mitsunori Ogihara, Wei Peng, Bo Shao, and Shenghuo Zhu. Music clustering with features from different information sources. IEEE Transactions on Multimedia, 11(3):477-485, Apr 2009.
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[31] Feng Liu, Jinjun Wang, Shenghuo Zhu, Michael Gleicher, and Yihong Gong. Visual-quality optimizing super resolution. Computer Graphics Forum, 28(1):127-140, Feb 2009.
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[32] Yuanqing Lin, Shenghuo Zhu, Daniel Lee, and Ben Taskar. Learning sparse markov network structure via ensemble-of-trees models. In AISTAT'09: The Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, volume 5, pages 360-367, 2009.
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[33] Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, and Rong Jin. A Bayesian approach toward finding communities and their evolutions in dynamic social networks. In SDM'09: Proceedings of the 2009 SIAM International Conference On Data Mining, pages 990-1001, 2009.
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[34] Yu-Ru Lin, Yun Chi, Shenghuo Zhu, Hari Sundaram, and Belle L. Tseng. Analyzing communities and their evolutions in dynamic social networks. ACM Trans. Knowl. Discov. Data (TKDD), 3(2):1-31, 2009.
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[35] Shenghuo Zhu, Kai Yu, and Yihong Gong. Stochastic relational models for large-scale dyadic data using MCMC. In D. Koller, D. Schuurmans, Y. Bengio, and L. Bottou, editors, NIPS '08: Advances in Neural Information Processing Systems 21, pages 1993-2000, Cambridge, MA, 2009. MIT Press.
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2008

[36] Chris Ding, Tao Li, and Shenghuo Zhu. KDD2008 workshop report DMMT'08: data mining using matrices and tensors. SIGKDD Explor. Newsl., 10(2):54-56, 2008.
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[37] Feng Liu, Jinjun Wang, Shenghuo Zhu, Michael Gleicher, and Yihong Gong. Noisy video super-resolution. In MM '08: Proceeding of the 16th ACM international conference on Multimedia, pages 713-716, New York, NY, USA, 2008. ACM.
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[38] 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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[39] 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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[40] 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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[41] 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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[42] 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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[43] 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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[44] 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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[45] 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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[46] 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

[47] 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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[48] 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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[49] 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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[50] 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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[51] 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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[52] 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

[53] 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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[54] 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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[55] 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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[56] 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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[57] 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

[58] 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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[59] 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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[60] 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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[61] 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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[62] 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

[63] 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

[64] 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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[65] 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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[66] 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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[67] 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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[68] 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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[69] 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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[70] 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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[71] 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

[72] 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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[73] 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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[74] 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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[75] 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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[76] 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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[77] 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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[78] 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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[79] 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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before
2002

[80] 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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[81] 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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[82] 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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Technical Reports


2002

[1] 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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Last update: Wed Jun 15 09:30:28 PDT 2011

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