| [1] | Huazhong Ning, Wei Xu, Yun Chi, Yihong Gong, and Thomas S. Huang. Incremental spectral clustering by efficiently updating the eigen-system. Pattern Recognition, 43(1):113-127, 2010. [ bib | .pdf ] |
| [2] | Yun Chi, Xiaodan Song, Dengyong Zhou, Koji Hino, and Belle L. Tseng. On evolutionary spectral clustering. ACM Trans. Knowl. Discov. Data, 3(4):1-30, 2009. [ bib | .pdf ] |
| [3] | Sarah K. Tyler, Shenghuo Zhu, Yun Chi, and Yi Zhang. Ordering innovators and laggards for product categorization and recommendation. In Proceedings of the 2009 ACM Conference on Recommender Systems, pages 29-36. ACM, 2009. [ bib | .pdf ] |
| [4] | Zhen Guo, Shenghuo Zhu, Yun Chi, Zhongfei Zhang, and Yihong Gong. A latent topic model for linked documents. In Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 720-721. ACM, 2009. [ bib | .pdf ] |
| [5] | Tianbao Yang, Rong Jin, Yun Chi, and Shenghuo Zhu. Combining link and content for community detection: a discriminative approach. In Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 927-936. ACM, 2009. [ bib | .pdf ] |
| [6] | 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. [ bib | .pdf ] |
| [7] | 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 9th SIAM International Conference on Data Mining, Philadelphia, PA, USA, 2009. SIAM. [ bib | .pdf ] |
| [8] | Yun Chi, Shenghuo Zhu, Koji Hino, Yihong Gong, and Yi Zhang. iOLAP: A framework for analyzing the internet, social networks, and other networked data. Multimedia, IEEE Transactions on, 11(3):372-382, April 2009. [ bib | .pdf ] |
| [9] | 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, 3(2):1-31, 2009. [ bib | .pdf ] |
| [10] | Yun Chi, Shenghuo Zhu, Yihong Gong, and Yi Zhang. Probabilistic polyadic factorization and its application to personalized recommendation. In CIKM '08: Proceeding of the 17th ACM conference on Information and knowledge management, pages 941-950, New York, NY, USA, 2008. ACM. [ bib | .pdf ] |
| [11] | 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. [ bib | .pdf ] |
| [12] | Yu-Ru Lin, Hari Sundaram, Yun Chi, Junichi Tatemura, and Belle L. Tseng. Detecting splogs via temporal dynamics using self-similarity analysis. ACM Trans. Web, 2(1):1-35, 2008. [ bib | .pdf ] |
| [13] | Ka Cheung Sia, Junghoo Cho, Yun Chi, and Belle L. Tseng. Efficient computation of personal aggregate queries on blogs. In KDD '08: Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 632-640, New York, NY, USA, 2008. ACM. [ bib | .pdf ] |
| [14] | Dingding Wang, Shenghuo Zhu, Tao Li, Yun Chi, and Yihong Gong. Integrating clustering and multi-document summarization to improve document understanding. In CIKM '08: Proceeding of the 17th ACM conference on Information and knowledge management, pages 1435-1436, New York, NY, USA, 2008. ACM. [ bib | .pdf ] |
| [15] | Yun Chi, Xiaodan Song, Dengyong Zhou, Koji Hino, and Belle L. Tseng. Evolutionary spectral clustering by incorporating temporal smoothness. In KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 153-162, New York, NY, USA, 2007. ACM. [ bib | .pdf ] |
| [16] | 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. [ bib | .pdf ] |
| [17] | Yu-Ru Lin, Hari Sundaram, Yun Chi, Junichi Tatemura, and Belle L. Tseng. Blog community discovery and evolution based on mutual awareness expansion. In WI '07: Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, pages 48-56, Washington, DC, USA, 2007. IEEE Computer Society. [ bib | .pdf ] |
| [18] | Yu-Ru Lin, Hari Sundaram, Yun Chi, Junichi Tatemura, and Belle L. Tseng. Splog detection using self-similarity analysis on blog temporal dynamics. In AIRWeb '07: Proceedings of the 3rd international workshop on Adversarial information retrieval on the web, pages 1-8, New York, NY, USA, 2007. ACM. [ bib | .pdf ] |
| [19] | Huazhong Ning, Wei Xu, Yun Chi, Yihong Gong, and Thomas S. Huang. Incremental spectral clustering with application to monitoring of evolving blog communities. In SDM'07: Proceedings of the 7th SIAM International Conference on Data Mining, Minneapolis, Minnesota, USA, 2007. SIAM. [ bib | .pdf ] |
| [20] | Ka Cheung Sia, Junghoo Cho, Koji Hino, Yun Chi, Shenghuo Zhu, and Belle L. Tseng. Efficient computation of personal aggregate queries on blogs. In ICWSM'07: International Conference on Weblogs and Social Media, 2007. [ bib | .pdf ] |
| [21] | 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 the 11th international conference on User Modeling, pages 334-339, Berlin, Heidelberg, 2007. Springer-Verlag. [ bib | .pdf ] |
| [22] | Xiaodan Song, Yun Chi, Koji Hino, and Belle Tseng. Identifying opinion leaders in the blogosphere. In CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management, pages 971-974, New York, NY, USA, 2007. ACM. [ bib | .pdf ] |
| [23] | Xiaodan Song, Yun Chi, Koji Hino, and Belle L. Tseng. Information flow modeling based on diffusion rate for prediction and ranking. In WWW '07: Proceedings of the 16th international conference on World Wide Web, pages 191-200, New York, NY, USA, 2007. ACM. [ bib | .pdf ] |
| [24] | 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. [ bib | .pdf ] |
| [25] | Yun Chi, Belle L. Tseng, and Junichi Tatemura. Eigen-trend: trend analysis in the blogosphere based on singular value decompositions. In CIKM '06: Proceedings of the 15th ACM international conference on Information and knowledge management, pages 68-77, New York, NY, USA, 2006. ACM. [ bib | .pdf ] |
| [26] | Yun Chi, Haixun Wang, Philip S. Yu, and Richard R. Muntz. Catch the moment: maintaining closed frequent itemsets over a data stream sliding window. Knowl. Inf. Syst., 10(3):265-294, 2006. [ bib | .pdf ] |
| [27] | Yun Chi. Mining databases of labeled trees using canonical forms. PhD thesis, University of California at Los Angeles, Los Angeles, CA, USA, 2005. Adviser-Muntz,, Richard R. [ bib | .pdf ] |
| [28] | Yun Chi, Richard R. Muntz, Siegfried Nijssen, and Joost N. Kok. Frequent subtree mining - an overview. Fundam. Inf., 66(1-2):161-198, 2005. [ bib | .pdf ] |
| [29] | Yun Chi, Haixun Wang, and Philip S. Yu. Loadstar: load shedding in data stream mining. In VLDB '05: Proceedings of the 31st international conference on Very large data bases, pages 1302-1305. VLDB Endowment, 2005. [ bib | .pdf ] |
| [30] | Yun Chi, Yi Xia, Yirong Yang, and Richard R. Muntz. Mining closed and maximal frequent subtrees from databases of labeled rooted trees. IEEE Trans. Knowl. Data Eng., 17(2):190-202, 2005. [ bib | .pdf ] |
| [31] | Yun Chi, Yirong Yang, and Richard R. Muntz. Canonical forms for labelled trees and their applications in frequent subtree mining. Knowl. Inf. Syst., 8(2):203-234, 2005. [ bib | .pdf ] |
| [32] | Yun Chi, Philip S. Yu, Haixun Wang, and Richard R. Muntz. Loadstar: A load shedding scheme for classifying data streams. In SDM'05: Proceedings of the 15th SIAM International Conference on Data Mining, pages 346-357. SIAM, 2005. [ bib | .pdf ] |
| [33] | Yun Chi, Haixun Wang, Philip S. Yu, and Richard R. Muntz. Moment: Maintaining closed frequent itemsets over a stream sliding window. In ICDM '04: Proceedings of the Fourth IEEE International Conference on Data Mining, pages 59-66, Washington, DC, USA, 2004. IEEE Computer Society. [ bib | .pdf ] |
| [34] | Yun Chi, Yirong Yang, and Richard R. Muntz. Hybridtreeminer: An efficient algorithm for mining frequent rooted trees and free trees using canonical form. In SSDBM'04: Proceedings of the 16th International Conference on and Statistical Database Management, pages 11-20, Santorini Island, Greece, 2004. IEEE Computer Society. [ bib | .pdf ] |
| [35] | Yun Chi, Yirong Yang, Yi Xia, and Richard R. Muntz. Cmtreeminer: Mining both closed and maximal frequent subtrees. In PAKDD'04: Proceedings of the 8th Pacific-Asia in Knowledge Discovery and Data Mining, pages 63-73, Sydney, Australia, 2004. Springer. [ bib | .pdf ] |
| [36] | Yi Xia, Yirong Yang, and Yun Chi. Mining association rules with non-uniform privacy concerns. In DMKD '04: Proceedings of the 9th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery, pages 27-34, New York, NY, USA, 2004. ACM. [ bib | .pdf ] |
| [37] | Yun Chi, Yirong Yang, and Richard R. Muntz. Indexing and mining free trees. In ICDM '03: Proceedings of the Third IEEE International Conference on Data Mining, page 509, Washington, DC, USA, 2003. IEEE Computer Society. [ bib | .pdf ] |
Last updated: Thu Dec 03 16:19:15 GMT-08:00 2009