Publications

2009

- Shijie Zhang, Jiong Yang, and Shirong Li. RING: an integrated method for frequent representative subgraph mining. To appear in Proceedings of ICDM Conference, 2009.

- Shijie Zhang, Shirong Li, and Jiong Yang. Gaddi: distance index based subgraph matching in biological networks. Proceedings of EDBT Conference, pp. 192-203, 2009.

- Shijie Zhang, Wei Su, and Jiong Yang. ARCS-Motif: discovering correlated motifs from unaligned biological sequences. Oxford Bioinformatics Journal, vol. 25 no. 2, 2009.

 

 

2008

- Meng Hu, Jiong Yang, and Wei Su. Permu-pattern: discovery of mutable permutation patterns with proximity constraint. KDD, 2008.

 - Ray-Yaung Chang, Andy Podgurski, and Jiong Yang. Discovering neglected conditions in software by mining dependence graphs. IEEE Transactions on Software Engineering, vol. 34, no. 5, pp. 579-596, 2008.

 - Shijie Zhang and Jiong Yang, RAM: randomized approximate graph mining. SSDBM, 2008.

 - Meng Hu, Kwangmin Choi, Wei Su, Sun Kim, and Jiong Yang,   A gene pattern mining algorithm using mutable sets for prokaryotes, BMC Bioinformatics Journal, 9:124, 2008.

 - Pankaj Chopra, Jaewoo Kang, Jiong Yang, Hyung-Jun Cho, Heenam S. Kim, and Min-Goo Lee, Microarray data mining using landmark gene-guided clustering, BMC Bioinformatics Journal, 9:92, 2008.

 

2007

 

 

- Gurkan Bebek and Jiong Yang, PathFinder: mining signal transduction pathway segments from protein-protein interaction networks, BMC Bioinformatics Journal 8:335, 2007.

- Ray-Yaung Chang, Andy Podgurski, and Jiong Yang. Finding what¡¯s not there: a new approach to revealing neglected conditions in software, ISSTA, 163-173, 2007. (Winner of the best paper award)

- Shijie Zhang, Meng Hu, and Jiong Yang, TreePi: A Novel Graph Indexing Method, Proceedings of IEEE International Conference on Data Engineering (ICDE), 966-975 2007.

 

- Shijie Zhang, Jiong Yang, and VenuMadhav Cheedella, Monkey: Approximate Graph Mining Based on Spanning Trees, Proceedings of IEEE International Conference on Data Engineering (ICDE), 1247-1249, 2007.

 

 

2006

 

 

- Jiong Yang and Meng Hu, TrajPattern: Mining Sequential Patterns from Imprecise Trajectories of Mobile Objects, to appear in EDBT 2006.

 

- Bin Song, Jeong-Hyeon Choi, Guangyu Chen, Guangyu Chen, Jacek Szymanski, Guo-Qiang Zhang, Anthony K.H. Tung, Jaewoo Kang, Sun Kim, and Jiong Yang ARCS: An Aggregated Related Column Scoring Scheme for Aligned Sequences, Bioinformatics, 22(19): 2326-2332 2006.

 

- Sun Kim, JeoungHyeon Choi, Amit Saple, and Jiong Yang, A Hybrid Gene Team Model and Its Application to Genome Analysis, Journal of Bioinformatics and Computational Biology Imperial College Press.

 

- Xiaoxin, Jiawei Han, Jiong Yang, and Philip S. Yu. Efficient Classification across Multiple Database Relations: A CrossMine Approach, in IEEE Transactions on Knowledge and Data Engineering (TKDE), 18(6): 770-783, June 2006.

 

- Mustafa Kirac, Gultekin Ozsoyoglu, and Jiong Yang, Annotating Proteins by Mining Protein Interaction Networks, to appear in ISMB2006 and also in Oxford Bioinformatics 2006 22: e260-e270.

 

 

2005

 

 

- Sun Kim, Jeong-Hyung Choi, and Jiong Yang, Gene Teams with Relaxed Proximity Constraint, in IEEE Computational Systems Bioinformatics (CSB): 44-55, Aug. 2005.

 

- Jaewoo Kang, Jiong Yang, Wanhong Xu, and Pankaj Chopra, Integrating Heterogeneous Microarray Data Sources using Correlation Signatures. Proceedings of the International Workshop on Data Integration in the Life Sciences (DILS), Aug. 2005.

 

- Lei Liu, Jiong Yang, and Anthony K. H. Tung, Data Mining Techniques for Microarray Datasets (Tutorial), in ICDE: 1149, Apr. 2005.

 

- Feng Pan, Wei Wang, Anthony K. H. Tung, and Jiong Yang, Finding Representative Set from Massive Data, in proceedings of the 5th IEEE International Conference on Data Mining (ICDM): 338-345, 2005.

 

- Xiaoxin Yin, Jiawei Han, and Jiong Yang, Searching for Related Objects in Relational Databases, in Proc. 2005 Int. Conf. on Scientific and Statistical Database Management (SSDBM): 227-236, Jun. 2005.

 

- Peter Bajcsy, Jiawei Han, Lei Liu, and Jiong Yang, Survey of Biodata Analysis from a Data Mining Perspective in Data Mining in Bioinformatics: 9-39, 2005

 

- Wei Wang, and Jiong Yang, Mining High-Dimensional Data, in The Data Mining and Knowledge Discovery Handbook: 793-799, 2005.

 

- Hwanjo Yu, Jiong Yang, Jiawei, and Xiaolei Li, Making SVMs Scalable to Large Data Sets using Hierarchical Cluster Indexing, in Data Min. Knowl. Discov. 11(3): 295-321, 2005

 

- Meng Hu, and Jiong Yang, A System of User-Guided Biological Literature Search Engine, in IEEE Data Eng. Bull. 28(4): 47-52, 2005.

 

- Wei Wang, and Jiong Yang: Guest Editors, Introduction: Special Issue on Mining Biological Data, in IEEE Trans. Knowl. Data Eng. 17(8): 1019-1020, 2005

 

- Jiong Yang, Haixun Wang, Wei Wang, and Philip S. Yu, An Improved Biclustering Method for Analyzing Gene Expression Profiles, in International Journal on Artificial Intelligence Tools 14(5): 771-790, 2005

 

 

2004

 

 

- Jinze Liu, Jiong Yang, and Wei Wang, Biclustering in Gene Expression Data by Tendency, in CSB 2004: 182-193

 

- Jinze Liu, Wei Wang, and Jiong Yang, Gene Ontology Friendly Biclustering of Expression Profiles, in CSB 2004: 436-447

 

- Hui Fang, ChengXiang Zhai, Lei Liu, and Jiong Yang, Subspace Clustering for Microarray Data Analysis: Multiple Criteria and Significance Assessment, in CSB 2004: 582-583

 

- Xiaoxin Yin, Jiawei Han, Jiong Yang, and Philip S. Yu, CrossMine: Efficient Classification Across Multiple Database Relations, in Constraint-Based Mining and Inductive Databases 2004: 172-195

 

- Xiaoxin Yin, Jiawei Han, Jiong Yang, and Philip S. Yu, CrossMine: Efficient Classification Across Multiple Database Relations, in ICDE 2004: 399-411

 

- Jiong Yang, and Wei Wang, AGILE: A General Approach to Detect Transitions in Evolving Data Streams, in ICDM 2004: 559-562

 

- Jun Huan, Wei Wang, Jan Prins, and Jiong Yang, SPIN: mining maximal frequent subgraphs from graph databases, in KDD 2004: 581-586

 

- Yifan Li, Jiawei Han, and Jiong Yang, Clustering moving objects, in Proceedings of 10th ACM International Conference on Knowledge Discovery and Data Mining (KDD) in 2004

 

- Jinze Liu, Wei Wang, and Jiong Yang, A framework for ontology-driven subspace clustering, in KDD 2004: 623-628

 

- Gao Cong, Anthony K. H. Tung, Xin Xu, Feng Pan, and Jiong Yang, FARMER: Finding Interesting Rule Groups in Microarray Datasets, in SIGMOD Conference 2004: 143-154

 

- Yifan Li, Jiong Yang, and Jiawei Han, Continuous K-Nearest Neighbor Search for Moving Objects, in SSDBM 2004: 123-126

 

- Jiong Yang, Wei Wang, and Philip S. Yu, BASS: Approximate Search on Large String Databases, in SSDBM 2004: 181-

 

- Jiong Yang, Wei Wang, and Philip S. Yu, Mining Surprising Periodic Patterns, in Data Min. Knowl. Discov. 9 (2): 189-216 (2004)

 

- Wei Wang, Jiong Yang, and Philip S. Yu, WAR: Weighted Association Rules for Item Intensities, in Knowl. Inf. Syst. 6(2): 203-229 (2004)

 

- Jiong Yang, Wei Wang, and Philip S. Yu, Discovering High-Order Periodic Patterns, in Knowl. Inf. Syst. 6(3): 243-268 (2004)

 

 

2003

 

 

- Jiong Yang, Haixun Wang, Wei Wang, and Philip S. Yu, Enhanced Biclustering on Expression Data, in Bioinformatics and Bioengineering Conference (BIBE) 2003: 321-327

 

- Hwanjo Yu, Jiong Yang, Wei Wang, and Jiawei Han, Discovering Compact and Highly Discriminative Features or Feature Combinations of Drug Activities Using Support Vector Machines, in CSB 2003: 220- 228

 

- Jiong Yang, Deliver Multimedia Streams with Flexible QoS via a Multicast DAG, in ICDCS 2003: 126-137

 

- Jiong Yang, and Wei Wang, CLUSEQ: Efficient and Effective Sequence Clustering, in ICDE 2003: 101-112

 

- Jiong Yang, Dynamic Clustering of Evolving Streams with a Single Pass, in ICDE 2003: 695-697

 

- Hwanjo Yu, Jiong Yang, and Jiawei Han, Classifying large data sets using SVMs with hierarchical clusters, in KDD 2003: 306-315

 

- Feng Pan, Gao Cong, Anthony K. H. Tung, Jiong Yang, and Mohammed Javeed Zaki. Carpenter: finding closed patterns in long biological datasets, in KDD 2003: 637-642

 

- Jiong Yang, Wei Wang, and Philip S. Yu. STAMP: On Discovery of Statistically Important Pattern Repeats in Long Sequential Data, in SDM 2003

 

- Jiong Yang, Wei Wang, and Philip S. Yu. Mining Asynchronous Periodic Patterns in Time Series Data, in IEEE Trans. Knowl. Data Eng. 15(3): 613-628 (2003)

 

- Zhiyuan Chen, Li Chen, Jian Pei, Yufei Tao, Haixun Wang, Wei Wang, Jiong Yang, Jun Yang, and Donghui Zhang, Recent Progress on Selected Topics in Database Research - A Report by Nine Young Chinese Researchers Working in the United States, in J. Comput. Sci. Technol. 18(5): 538-552 (2003)

 

 

2002

 

 

- Jiong Yang, and Wei Wang, Towards Automatic Clustering of Protein Sequences, in CSB 2002: 175-186

 

- Jiong Yang, Wei Wang, Yi Xia, and Philip S. Yu, Accelerating Approximate Subsequence Search on Large Protein Sequence Databases, in CSB 2002: 207-

 

- Wei Wang, and Jiong Yang, A Framework Towards Efficient and Effective Sequence Clusterin, in ICDE 2002: 282

 

- Jiong Yang, Wei Wang, Haixun Wang, and Philip S. Yu, d-Clusters: Capturing Subspace Correlation in a Large Data Set, in ICDE 2002: 517-528

 

- Jiong Yang, Wei Wang, and Philip S. Yu, InfoMiner+: Mining Partial Periodic Patterns with Gap Penalties, in ICDM 2002: 725-728

 

- Yi Xia, Wei Wang, Jiong Yang, Philip S. Yu, and Richard R. Muntz, Efficient Filtering of Large DatasetA User-Centric Paradigm, in SDM 2002

 

- Haixun Wang, Wei Wang, Jiong Yang, and Philip S. Yu, Clustering by pattern similarity in large data sets, in SIGMOD Conference 2002: 394-405

 

- Jiong Yang, Wei Wang, Philip S. Yu, and Jiawei Han, Mining long sequential patterns in a noisy environment, in SIGMOD Conference 2002: 406-417

 

 

2001

 

 

- Wei Wang, Jiong Yang, and Richard R. Muntz, TAR: Temporal Association Rules on Evolving Numerical Attributes, in ICDE 2001: 283-292

 

- Wei Wang, Jiong Yang, and Philip S. Yu, Meta-patterns: Revealing Hidden Periodic Patterns, in ICDM 2001: 550-557

 

- Jiong Yang, Wei Wang, and Philip S. Yu, Infominer: mining surprising periodic patterns, in KDD 2001: 395-400

 

 

2000

 

 

- Jiong Yang, Wei Wang, Richard R. Muntz, and Silvia Nittel, Dynamic Adaptive File Management in a Local Area Network, in ICDCS 2000: 368-375

 

- Wei Wang, Jiong Yang, and Philip S. Yu, Efficient mining of weighted association rules (WAR), in KDD 2000: 270-274

 

- Jiong Yang, Wei Wang, and Philip S. Yu, Mining asynchronous periodic patterns in time series data, in KDD 2000: 275-279

 

- Jiong Yang, Wei Wang, and Richard R. Muntz, Collaborative Web caching based on proxy affinities, in SIGMETRICS 2000: 78-89

 

- Wei Wang, Jiong Yang, and Richard R. Muntz, An Approach to Active Spatial Data Mining Based on Statistical Information, in IEEE Trans. Knowl. Data Eng. 12(5): 715-728 (2000)

 

- Wei Wang, Jiong Yang, and Philip S. Yu, Mining Patterns in Long Sequential Data with Noise, in SIGKDD Explorations 2(2): 28-33 (2000)

 

- Jiong Yang, Wei Wang, Silvia Nittel, Richard R. Muntz, and Vince Busam, Dynamo: design, implementation, and evaluation of cooperative persistent object management in a local area network. Softw., in Pract. Exper. 30(4): 419-448 (2000)

 

 

1999

 

 

- Wei Wang, Jiong Yang, and Richard R. Muntz, STING+: An Approach to Active Spatial Data Mining, in ICDE 1999: 116-125

 

 

1998

 

 

- Wei Wang, Jiong Yang, and Richard R. Muntz, PK-tree: A Spatial Index Structure for High Dimensional Point Data, in FODO 1998: 27-36

 

- Jiong Yang, Gil Neiger, and Eli Gafni, Structured Derivations of Consensus Algorithms for Failure Detectors, in PODC 1998: 297-306

 

- Jiong Yang, Silvia Nittel, Wei Wang, and Richard R. Muntz, DynamO: Dynamic Objects with Persistent Storage, in POS/PJW 1998: 199-214

 

 

1997

 

 

- Wei Wang, Jiong Yang, and Richard R. Muntz, STING: A Statistical Information Grid Approach to Spatial Data Mining, in VLDB 1997: 186-195

 

 

1996

 

 

- Silvia Nittel, Jiong Yang, and Richard R. Muntz, Mapping a Common Geoscientific Object Model to Heterogeneous Spatial Data Repositories, in . ACM-GIS 1996: 50-57

 

Research

 

Lab Information

 

 

 

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