Publications

2017

  1. From Community Detection to Community Profiling. H. Cai, V. W. Zheng, F. Zhu, K. C.-C. Chang, and Z. Huang. PVLDB, 2017. In VLDB 2017. PDF
  2. Semantic Proximity Search on Heterogeneous Graph by Proximity Embedding. Z. Liu, V. W. Zheng, Z. Zhao, F. Zhu, K. C.-C. Chang, M. Wu, and J. Ying. In AAAI 2017, 2017. PDF

2016

  1. Semantic Proximity Search on Graphs with Metagraph-based Learning. Y. Fang, W. Lin, V. W. Zheng, M. Wu, K. C.-C. Chang, and X. Li. In ICDE 2016, pages 277-288, 2016. PDF Slides BibTexCode
  2. Learning to Query: Focused Web Page Harvesting for Entity Aspects. Y. Fang, V. W. Zheng, and K. C.-C. Chang. In ICDE 2016, pages 1002-1013, 2016. PDF Slides BibTex
  3. Cold-Start Heterogeneous-Device Wireless Localization. V. W. Zheng, H. Cao, S. Gao, A. Adhikari, M. Lin, and K. C.-C. Chang. In AAAI 2016, pages 1429-1435, 2016. PDF Slides BibTex
  4. Regularizing Structured Classifier with Conditional Probabilistic Constraints for Semi-supervised Learning. V. W. Zheng and K. C.-C. Chang. In CIKM 2016, 2016. (165/935 = 17.6%). PDFBibTex Dataset Code
  5. ARISE-PIE: A People Information Integration Engine over the Web. V. Zheng, T. Hoang, P. Chen, Y. Fang, X. Yang, and K. C.-C. Chang. In CIKM 2016 Workshop on Data-Driven Talent Acquisition, 2016. PDF
  6. Detecting Signals of Detrimental Prescribing Cascades from Social Media. T. Hoang, J. Liu, N. Pratt, V. W. Zheng, K. C.-C. Chang, E. Roughead, and J. Li. Artificial Intelligence in Medicine, 71:43-56, 2016. PDF BibTex

2015

  1. DataSpread: Unifying Databases and Spreadsheets. M. Bendre, B. Sun, D. Zhang, X. Zhou, K. C. Chang, and A. Parameswaran. PVLDB, 8(12):2000-2003, 2015. Demonstration description. PDF BibTex
  2. IntelligShop: Enabling Intelligent Shopping in Malls through Location-based Augmented Reality. A. Adhikari, V. W. Zheng, H. Cao, M. Lin, Y. Fang, and K. C.-C. Chang. In 2015 IEEE International Conference on Data Mining, ICDM 2015, pages 1604-1607, 2015. Demonstration description. PDF BibTex
  3. Mobile User Verification/Identification using Statistical Mobility Profile. M. Lin, H. Cao, V. Zheng, K. C.-C. Chang, and S. Krishnaswamy. In International Conference on Big Data and Smart Computing (BigComp 2015), pages 15-18, 2015. PDF BibTex
  4. Mobility Profiling for User Verification with Anonymized Location Data. M. Lin, H. Cao, V. Zheng, K. C.-C. Chang, and S. Krishnaswamy. In International Joint Conference on Artificial Intelligence (IJCAI 2015), pages 960-966, 2015. PDF BibTex
  5. Scheduled approximation for Personalized PageRank with Utility-based Hub Selection. F. Zhu, Y. Fang, K. C.-C. Chang, and J. Ying. The VLDB Journal, Springer Berlin Heidelberg, pages 655-679, 2015. PDF Slides BibTex Dataset Code
  6. Ushio: Analyzing News Media and Public Trends in Twitter. F. Yao, K. C. Chang, and R. H. Campbell. In 8th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2015, Limassol, Cyprus, December 7-10, 2015, pages 424-429, Dec 2015. PDF Slides BibTex

2014

  1. Unifying Learning to Rank and Domain Adaptation: Enabling Cross-Task Document Scoring. M. Zhou and K. C.-C. Chang. In KDD 2014, pages 781-790, 2014. (151/1036 = 14.6%). PDF SlidesBibTex Dataset
  2. Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically. Y. Fang, K. C.-C. Chang, and H. W. Lauw. In ICML 2014, pages 406-414, 2014. (310/1238=25%). PDF Slides BibTex
  3. User Profiling in an Ego Network: Co-profiling Attributes and Relationships. R. Li, C. Wang, and K. C.-C. Chang. In WWW 2014, pages 819-830, April 2014. (84/650 = 12.9%). PDF SlidesBibTex Dataset
  4. Privacy Risk in Anonymized Heterogeneous Information Networks. A. Zhang, X. Xie, K. Chang, C. Gunter, J. Han, and X. Wang. In EDBT 2014, pages 595-606, March 2014. (52/266 = 19.5%). PDF BibTex
  5. Towards a Social Media Analytics Platform: Event Detection and User Profiling for Twitter. M. Gupta, R. Li, and K. C.-C. Chang. In WWW 2014, pages 193-194, April 2014. Tutorial description. PDF Slides BibTex

2013

  1. Towards Social Data Platform: Automatic Topic-focused Monitor for Twitter Stream. R. Li, S. Wang, and K. C.-C. Chang. PVLDB, 6(14):1966-1977, 2013. In VLDB 2014. (Approx 17%). PDFSlides BibTex Dataset
  2. Enabling Entity-Centric Document Filtering by Meta-Feature-based Feature Mapping. M. Zhou and K. C.-C. Chang. In CIKM 2013, pages 119-128, 2013. (143/848 = 16.8%). PDF Slides BibTexDataset
  3. Incremental and Accuracy-Aware Personalized PageRank through Scheduled Approximation. F. Zhu, Y. Fang, K. C.-C. Chang, and J. Ying. PVLDB, 6(6):481-492, 2013. In VLDB 2013. (Approx 17%). PDF Slides BibTex Dataset Code
  4. RoundTripRank: Graph-based Proximity with Importance and Specificity. Y. Fang, K. C.-C. Chang, and H. W. Lauw. In ICDE 2013, pages 613-624, 2013. (92/460 = 20%). PDF Slides BibTexDataset
  5. Learning to Rank from Distant Supervision: Exploiting Noisy Redundancy for Relational Entity Search. M. Zhou, H. Wang, and K. C.-C. Chang. In ICDE 2013, pages 829-840, 2013. (92/460 = 20%). PDF Slides BibTex

2012

  1. Multiple Location Profiling for Users and Relationships from Social Network and Content. R. Li, S. Wang, and K. C.-C. Chang. PVLDB, 5(11):1603-1614, 2012. In VLDB 2012. (134/659=20.3%). PDF Slides BibTex Dataset
  2. Towards Social User Profiling: Unified and Discriminative Influence Model for Inferring Home Locations. R. Li, S. Wang, H. Deng, R. Wang, and K. C.-C. Chang. In KDD 2012, pages 1023-1031, 2012. (Approx 15%). PDF Slides BibTex Dataset
  3. Confidence-Aware Graph Regularization with Heterogeneous Pairwise Features. Y. Fang, B.-J. P. Hsu, and K. C.-C. Chang. In SIGIR 2012, pages 951-960, 2012. PDF Slides BibTex
  4. TEDAS: a Twitter Based Event Detection and Analysis System. R. Li, K. H. Lei, R. Khadiwala, and K. C.-C. Chang. In ICDE 2012, pages 1273-1276, 2012. Demonstration description. PDF

2011

  1. Searching Patterns for Relation Extraction over the Web: Rediscovering the Pattern-Relation Duality. Y. Fang and K. C.-C. Chang. In WSDM 2011, pages 825-834, 2011. (83/372=22%). PDFBibTex

2010

  1. Towards Rich Query Interpretation: Walking Back and Forth for Mining Query Templates. G. Agarwal, G. Kabra, and K. C.-C. Chang. In WWW 2010, pages 1-10, 2010. (104/743=14%). PDFSlides BibTex
  2. Beyond Pages: Supporting Efficient, Scalable Entity Search. T. Cheng and K. C.-C. Chang. In EDBT 2010, pages 15-26, 2010. (54/307=18%). PDF Slides BibTex
  3. Data-oriented Content Query System: Searching for Data into Text on the Web. M. Zhou, T. Cheng, and K. C.-C. Chang. In WSDM 2010, pages 121-130, 2010. (45/290=15.5%). PDF SlidesBibTex
  4. DoCQS: a prototype system for supporting data-oriented content query. M. Zhou, T. Cheng, and K. C.-C. Chang. In SIGMOD 2010, pages 1211-1214, 2010. Demonstration description. PDF
  5. Object Search: Supporting Structured Queries in Web Search Engines. K. Pham, N. Rizzolo, K. Small, K. C.-C. Chang, and D. Roth. In NAACL-HLT Workshop on Semantic Search, Los Angeles, June 2010. PDF

2009

  1. Deep-Web Search. K. C.-C. Chang. In Encyclopedia of Database Systems, pages 784-788. Springer, 2009.
  2. AIDE: ad-hoc intents detection engine over query logs. Y. Jiang, H.-T. Yang, K. C.-C. Chang, and Y.-S. Chen. In SIGMOD 2009, pages 1091-1094, 2009. Demonstration description. PDF

2008

  1. Integrating Web Query Results: Holistic Schema Matching. S.-L. Chuang and K. C.-C. Chang. In CIKM 2008, pages 33-42, 2008. (132/772=17%). PDF Slides BibTex
  2. Probabilistic top-k and ranking-aggregate queries. M. A. Soliman, I. F. Ilyas, and K. C.-C. Chang. ACM Trans. Database Syst., 33(3), 2008. PDF
  3. Trustworthy keyword search for compliance storage. S. Mitra, M. Winslett, W. W. Hsu, and K. C.-C. Chang. VLDB J., 17(2):225-242, 2008. PDF

2007

  1. EntityRank: Searching Entities Directly and Holistically. T. Cheng, X. Yan, and K. C.-C. Chang. In Proceedings of the 33rd Very Large Data Bases Conference (VLDB 2007), pages 387-398, Vienna, Austria, September 2007. (91/538=16.9%). PDF Slides BibTex
  2. Context-Aware Wrapping: Synchronized Data Extraction. S.-L. Chuang, K. C.-C. Chang, and C. Zhai. In Proceedings of the 33rd Very Large Data Bases Conference (VLDB 2007), pages 699-710, Vienna, Austria, September 2007. (91/538=16.9%). PDF Slides BibTex
  3. Supporting Ranking and Clustering as Generalized Order-By and Group-By. C. Li, M. Wang, L. Lim, H. Wang, and K. C.-C. Chang. In Proceedings of the 2007 ACM SIGMOD Conference (SIGMOD 2007), pages 127-138, Beijing, China, June 2007. (70/480=14.6%). PDF Slides
  4. Progressive and Selective Merge: Computing Top-K with Ad-hoc Ranking Functions. D. Xin, J. Han, and K. C.-C. Chang. In Proceedings of the 2007 ACM SIGMOD Conference (SIGMOD 2007), pages 103-114, Beijing, China, June 2007. (70/480=14.6%). PDF Slides
  5. Entity Search Engine: Towards Agile Best-Effort Information Integration over the Web. T. Cheng and K. C.-C. Chang. In Proceedings of the Third Conference on Innovative Data Systems Research (CIDR 2007), pages 108-113, Asilomar, Ca., January 2007. Extended System Demo Description. PDF Slides BibTex
  6. Top-k Query Processing in Uncertain Databases. M. A. Soliman, I. F. Ilyas, and K. C.-C. Chang. In Proceedings of the 23rd International Conference on Data Engineering (ICDE 2007), pages 896-905, Istanbul, Turkey, April 2007. (122/659=18%). PDF
  7. Collaborative Wrapping: A Turbo Framework for Web Data Extraction. S.-L. Chiang, K. C.-C. Chang, and C. Zhai. In Proceedings of the 23rd International Conference on Data Engineering (ICDE 2007), pages 1261-1262, Istanbul, Turkey, April 2007. (Poster Paper; 182/659=27%). PDF
  8. Accessing the Deep Web: A Survey. B. He, M. Patel, Z. Zhang, and K. C.-C. Chang. Communications of the ACM, 50(5):94-101, May 2007. PDF
  9. Optimizing Top-k Queries for Middleware Access: A Unified Cost-based Approach. S.-W. Hwang and K. C.-C. Chang. ACM Transactions on Database Systems (TODS), 32(1):5, March 2007. PDF
  10. Probe Minimization by Schedule Optimization: Supporting Top-k Queries with Expensive Predicates. S.-W. Hwang and K. C.-C. Chang. IEEE Transactions on Knowledge and Data Engineering (TKDE), 19(5):646-662, May 2007. PDF
  11. Supporting Entity Search: a Large-Scale Prototype Search Engi1ne. T. Cheng, X. Yang, and K. C.-C. Chang. In Proceedings of the 2007 ACM SIGMOD Conference (SIGMOD 2007), pages 1144-1146, Beijing, China, June 2007. Demonstration description. (35/107 = 32%). PDF
  12. URank: Top-k Query Processing for Uncertain Databases. M. Sliman, I. Ilyas, and K. C.-C. Chang. In Proceedings of the 2007 ACM SIGMOD Conference (SIGMOD 2007), pages 1082-1084, Beijing, China, June 2007. Demonstration description. (35/107 = 32%). PDF
  13. Dewex: A Search Engine for Exploring the Deep Web. G. Kabra, Z. Zhang, and K. C.-C. Chang. In Proceedings of the 23rd International Conference on Data Engineering (ICDE 2007), pages 1511-1512, Istanbul, Turkey, April 2007. Demonstration description. PDF

2006

  1. Supporting Ad-hoc Ranking Aggregates. C. Li, K. C.-C. Chang, and I. F. Ilyas. In Proceedings of the 2006 ACM SIGMOD Conference (SIGMOD 2006), pages 61-72, Chicago, June 2006. (58/446=13%). PDF Slides
  2. Boolean + Ranking: Querying a Database by K-Constrained Optimization. Z. Zhang, S. Hwang, K. C.-C. Chang, M. Wang, C. Lang, and Y. Chang. In Proceedings of the 2006 ACM SIGMOD Conference (SIGMOD 2006), pages 359-370, Chicago, June 2006. (58/446=13%). PDF Slides
  3. Automatic Complex Schema Matching across Web Query Interfaces: A Correlation Mining Approach. B. He and K. C.-C. Chang. ACM Transactions on Database Systems (TODS), 31(1):346-395, March 2006. PDF
  4. Accessing the Web: From Search to Integration. K. C.-C. Chang and J. Cho. In Proceedings of the 2006 ACM SIGMOD Conference (SIGMOD 2006), pages 804-805, Chicago, June 2006. Tutorial description. PDF Slides

2005

  1. Light-weight Domain-based Form Assistant: Querying Web Databases On the Fly. Z. Zhang, B. He, and K. C.-C. Chang. In Proceedings of the 31st Very Large Data Bases Conference (VLDB 2005), pages 97-108, Trondheim, Norway, August 2005. (32/195=16%). PDF Slides
  2. Making Holistic Schema Matching Robust: An Ensemble Approach. B. He and K. C.-C. Chang. In Proceedings of the 2005 ACM SIGKDD Conference (KDD 2005), pages 429-438, Chicago, Illinois, August 2005. (14/75=19%). PDF Slides
  3. RankSQL: Query Algebra and Optimization for Relational Top-k Queries. C. Li, K. C.-C. Chang, I. F. Ilyas, and S. Song. In Proceedings of the 2005 ACM SIGMOD Conference (SIGMOD 2005), pages 131-142, Baltimore, Maryland, June 2005. (66/431=15%). PDF Slides
  4. Toward Large Scale Integration: Building a MetaQuerier over Databases on the Web. K. C.-C. Chang, B. He, and Z. Zhang. In Proceedings of the Second Conference on Innovative Data Systems Research (CIDR 2005), pages 44-55, Asilomar, Ca., January 2005. (26/86=30%). PDF Slides
  5. RankFP: A Framework for Supporting Rank Formulation and Processing. H. Yu, S. Hwang, and K. C.-C. Chang. In Proceedings of the 21st International Conference on Data Engineering (ICDE 2005), pages 514-515, Tokyo, Japan, April 2005. (Poster Paper; 100/521=19%). PDF Slides
  6. Optimizing Access Cost for Top-k Queries over Web Sources: A Unified Cost-based Approach. S. Hwang and K. C.-C. Chang. In Proceedings of the 21st International Conference on Data Engineering (ICDE 2005), pages 188-189, Tokyo, Japan, April 2005. (Poster Paper; 100/521=19%). PDF Slides
  7. RankSQL: Supporting Ranking Queries in Relational Database Management Systems. C. Li, M. A. Soliman, K. C.-C. Chang, and I. F. Ilyas. In Proceedings of the 31st Very Large Data Bases Conference (VLDB 2005), pages 1342-1345, Trondheim, Norway, August 2005. Demonstration description. (29/69 = 42%). PDF
  8. MetaQuerier: Querying Structured Web Sources On-the-fly. B. He, Z. Zhang, and K. C.-C. Chang. In Proceedings of the 2005 ACM SIGMOD Conference (SIGMOD 2005), pages 927-929, Baltimore, Maryland, June 2005. Demonstration description. (24/71 = 34%). PDF
  9. Towards Building a MetaQuerier: Extracting and Matching Web Query Interfaces. B. He, Z. Zhang, and K. C.-C. Chang. In Proceedings of the 21st International Conference on Data Engineering (ICDE 2005), pages 1098-1099, Tokyo, Japan, April 2005. Demonstration description. PDF
  10. Query Routing: Finding Ways in the Maze of the Deep Web. G. Kabra, C. Li, and K. C.-C. Chang. In Proceedings of the ICDE International Workshop on Challenges in Web Information Retrieval and Integration (ICDE-WIRI 2005), Tokyo, Japan, April 2005. (14/47=30%). PDF

2004

  1. Organizing Structured Web Sources by Query Schemas: A Clustering Approach. B. He, T. Tao, and K. C.-C. Chang. In Proceedings of the 13th Conference on Information and Knowledge Management (CIKM 2004), pages 22-31, Washington, D.C., November 2004. (59/303=19%). PDF Slides
  2. Optimal Multimodal Fusion for Multimedia Data Analysis. Y. Wu, E. Y. Chang, K. C.-C. Chang, and J. R. Smith. In Proceedings of the 12th ACM International Conference on Multimedia (MM 2004), pages 572-579, New York, October 2004. (56/330=17%).
  3. Discovering Complex Matchings across Web Query Interfaces: A Correlation Mining Approach. B. He, K. C.-C. Chang, and J. Han. In Proceedings of the 2004 ACM SIGKDD Conference (KDD 2004), pages 148-157, Seattle, Wa., August 2004. (40/337=12%). PDF Slides
  4. Understanding Web Query Interfaces: Best-Effort Parsing with Hidden Syntax. Z. Zhang, B. He, and K. C.-C. Chang. In Proceedings of the 2004 ACM SIGMOD Conference (SIGMOD 2004), pages 117-118, Paris, France, June 2004. (69/431=16%). PDF Slides
  5. Mining Semantics for Large Scale Integration on the Web: Evidences, Insights, and Challenges. K. C.-C. Chang, B. He, and Z. Zhang. SIGKDD Explorations, 6(2):67-76, December 2004. PDF
  6. Editorial: Special Issue on Web Content Mining. B. Liu and K. C.-C. Chang. SIGKDD Explorations, 6(2):1-4, December 2004. PDF
  7. A Holistic Paradigm for Large Scale Schema Matching. B. He and K. C.-C. Chang. SIGMOD Record, 33(4):20-25, December 2004. Invited paper. PDF
  8. Structured Databases on the Web: Observations and Implications. K. C.-C. Chang, B. He, C. Li, M. Patel, and Z. Zhang. SIGMOD Record, 33(3):61-70, September 2004. PDF
  9. PEBL: Web Page Classification without Negative Examples. H. Yu, J. Han, and K. C.-C. Chang. IEEE Transactions on Knowledge and Data Engineering, 16(1):70-81, January 2004. Special Section on Mining and Searching the Web. PDF
  10. Towards Building a MetaQuerier: Extracting and Matching Web Query Interfaces. B. He, Z. Zhang, and K. C.-C. Chang. In NSF Information and Data Management (IDM) Workshop 2004, Boston, Massachussetts, October 2004. Demonstration description.
  11. Knocking the Door to the Deep Web: Integrating Web Query Interfaces. B. He, Z. Zhang, and K. C.-C. Chang. In Proceedings of the 2004 ACM SIGMOD Conference (SIGMOD 2004), pages 913-914, Paris, France, June 2004. Demonstration description. PDF
  12. MetaQuerier over the Deep Web: Shallow Integration across Holistic Sources. K. C.-C. Chang, B. He, and Z. Zhang. In Proceedings of the VLDB Workshop on Information Integration on the Web (VLDB-IIWeb 2004), Toronto, Canada, August 2004. (20/42=48%). PDF
  13. On-the-fly Constraint Mapping across Web Query Interfaces. Z. Zhang, B. He, and K. C.-C. Chang. In Proceedings of the VLDB Workshop on Information Integration on the Web (VLDB-IIWeb 2004), Toronto, Canada, August 2004. (20/42=48%). PDF
  14. Mining Complex Matchings across Web Query Interfaces. B. He, K. C.-C. Chang, and J. Han. In Proceedings of the 9th ACM SIGMOD Workshop on Research Issues on Data Mining and Knowledge Discovery (SIGMOD-DMKD 2004), pages 3-10, Paris, France, June 2004. (8/34=24%). PDF
  15. Clustering Structured Web Sources: A Schema-Based, Model-Differentiation Approach.. B. He, T. Tao, and K. C.-C. Chang. In EDBT Workshops (EDBT-ClustWeb 2004), pages 536-546, Crete, Greece, March 2004. (9/15=60%). PDF

2003

  1. Statistical Schema Matching across Web Query Interfaces. B. He and K. C.-C. Chang. In Proceedings of the 2003 ACM SIGMOD Conference (SIGMOD 2003), pages 217-228, San Diego, California, June 2003. (52/342=15%). PDF Slides
  2. Knocking the Doors to the Deep Web: Understanding Web Query Interfaces. Z. Zhang, B. He, and K. C.-C. Chang. In NSF Information and Data Management (IDM) Workshop 2003, Seattle, Washington, September 2003. Demonstration description.

2002

  1. Heterogeneous Learner for Web Page Classification. H. Yu, K. C.-C. Chang, and J. Han. In Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), pages 538-545, Maebashi, Japan, December 2002. (72/369=20%). PDF
  2. PEBL: Positive Example Based Learning for Web Page Classification Using SVM. H. Yu, J. Han, and K. C.-C. Chang. In Proceedings of the 2002 ACM SIGKDD Conference (KDD 2002), pages 239-248, Edmonton, Alberta, Canada, July 2002. (44/308=14%). PDF
  3. Minimal Probing: Supporting Expensive Predicates for Top-k Queries. K. C.-C. Chang and S.-W. Hwang. In Proceedings of the 2002 ACM SIGMOD Conference (SIGMOD 2002), pages 346-357, Madison, Wisconsin, June 2002. (42/239=18%). PDF Slides
  4. Data Mining for Web Intelligence. J. Han and K. C.-C. Chang. IEEE Computer, IEEE Computer Society, Washington, D.C., 35(11):64-70, November 2002. PDF
  5. Database Research at the University of Illinois at Urbana-Champaign. M. Winslett, K. C.-C. Chang, A. Doan, J. Han, C. Zhai, and Y. Zhou. SIGMOD Record, 31(3):97-102, September 2002. PDF

2001

  1. NBDL: A CIS Framework for NSDL. J. Futrelle, K. C.-C. Chang, and S.-S. Chen. In Proceedings of the First ACM/IEEE Joint Conference on Digital Libraries (JCDL 2001), pages 124-125, Roanoke, Virginia, June 2001. PDF
  2. Approximate Query Mapping: Accounting for Translation Closeness. K. C.-C. Chang and H. Garcia-Molina. The VLDB Journal, VLDB Foundation, Saratoga, Calif., 10(2-3):155-181, September 2001. PDF