Kevin Chang

Profile Picture of Kevin Chang
Title
Professor

Department
University of Illinois at Urbana-Champaign

Institution
University of Illinois Urbana-Champaign

Email
kcchang@illinois.edu
Education
  • PhD, Electrical Engineering, Stanford University
Research Interests
Covid 19   Data Science   Curriculum Development  

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Biography
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Homepages
Contact Information
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Research
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List of Publications (110)
In 2017
110

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, pages 154-160, 2017. (PDF)

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109

From Community Detection to Community Profiling. H. Cai, V. W. Zheng, F. Zhu, K. C. Chang, and Z. Huang. PVLDB, 10(7):817-828, 2017. (PDF)

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108

Learning Community Embedding with Community Detection and Node Embedding on Graphs. S. Cavallari, V. W. Zheng, H. Cai, K. C. Chang, and E. Cambria. In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017, pages 377-386, 2017. (PDF)

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107

SocialLens: Searching and Browsing Communities by Content and Interaction. H. Cai, V. W. Zheng, P. Chen, F. Zhu, K. C. Chang, and Z. Huang. In 33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, CA, USA, April 19-22, 2017, pages 1397-1398, 2017. (PDF)

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106

Topological Recurrent Neural Network for Diffusion Prediction. J. Wang, V. W. Zheng, Z. Liu, and K. C. Chang. In 2017 IEEE International Conference on Data Mining, ICDM 2017, New Orleans, LA, USA, November 18-21, 2017, pages 475-484, 2017. (PDF)

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105

Statistical Link Label Modeling for Sign Prediction: Smoothing Sparsity by Joining Local and Global Information. A. Javari, H. Qiu, E. Barzegaran, M. Jalili, and K. C. Chang. In 2017 IEEE International Conference on Data Mining, ICDM 2017, New Orleans, LA, USA, November 18-21, 2017, pages 1039-1044, 2017. (PDF)

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In 2016
104

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. Code (PDF)

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103

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)

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102

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)

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101

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%). Dataset Code (PDF)

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100

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)

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99

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)

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In 2015
98

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)

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97

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)

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96

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)

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95

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)

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94

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. Dataset Code (PDF)

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93

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)

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In 2014
92

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%). Dataset (PDF)

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91

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)

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90

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%). Dataset (PDF)

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89

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)

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88

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)

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87

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%). Dataset (PDF)

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In 2013
86

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%). Dataset (PDF)

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85

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%). Dataset Code (PDF)

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84

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%). Dataset (PDF)

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83

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)

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In 2012
82

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%). Dataset (PDF)

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81

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%). Dataset (PDF)

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80

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)

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79

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)

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In 2011
78

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%). (PDF)

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In 2010
77

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%). (PDF)

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76

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)

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75

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)

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74

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)

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73

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)

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In 2009
72

Deep-Web Search. K. C.-C. Chang. In Encyclopedia of Database Systems, pages 784-788. Springer, 2009.

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71

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)

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In 2008
70

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)

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69

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.

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68

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.

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In 2007
67

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)

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66

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)

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65

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)

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64

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)

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63

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)

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62

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)

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61

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)

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60

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)

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59

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)

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58

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)

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57

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)

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56

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)

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55

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)

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In 2006
54

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)

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53

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)

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52

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)

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51

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)

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In 2005
50

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)

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49

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)

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48

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)

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47

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)

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46

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)

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45

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)

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44

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)

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43

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)

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42

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)

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41

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)

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In 2004
40

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)

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39

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%).

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38

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)

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37

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)

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36

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)

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35

Editorial: Special Issue on Web Content Mining. B. Liu and K. C.-C. Chang. SIGKDD Explorations, 6(2):1-4, December 2004. (PDF)

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34

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)

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33

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)

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32

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)

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31

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.

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30

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)

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29

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)

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28

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)

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27

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)

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26

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)

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In 2003
25

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)

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24

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.

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In 2002
23

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)

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22

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)

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21

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)

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20

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)

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19

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)

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In 2001
18

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.

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17

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)

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In 2000
16

Approximate Query Translation Across Heterogeneous Information Sources. K. C.-C. Chang and H. Garcia-Molina. In Proceedings of the 26th VLDB Conference (VLDB 2000), pages 566-577, Cairo, Egypt, September 2000. (53/351=15%). Extended Version (PDF)

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15

PowerBookmarks: An Advanced Web Bookmark Database System and its Information Sharing and Management. W.-S. Li, Y.-L. Wu, C. Bufi, K. C.-C. Chang, D. Agrawal, and Y. Hara. In Information Organization and Databases, chapter 26. Kluwer Academic Publishers, 2000.

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In 1999
14

Mind Your Vocabulary: Query Mapping Across Heterogeneous Information Sources. K. C.-C. Chang and H. Garcia-Molina. In Proceedings of the 1999 ACM SIGMOD Conference (SIGMOD 1999), pages 335-346, Philadelphia, Pa., June 1999. (42/205=20%). Extended Version (PDF)

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13

Using Distributed Objects to Build the Stanford Digital Library InfoBus. A. Paepcke, M. Baldonado, K. C.-C. Chang, S. Cousins, and H. Garcia-Molina. IEEE Computer, IEEE Computer Society, Washington, D.C., 32(2):80-87, February 1999. (PDF)

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12

Predicate Rewriting for Translating Boolean Queries in a Heterogeneous Information System. K. C.-C. Chang, H. Garcia-Molina, and A. Paepcke. ACM Transactions on Information Systems, ACM Press, New York, 17(1):1-39, January 1999. (PDF)

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11

PowerBookmarks: A System for Personalizable Web Information Organization, Sharing, and Management. W.-S. Li, K. C.-C. Chang, D. Agrawal, and et al. In Proceedings of the 1999 ACM SIGMOD Conference (SIGMOD 1999), pages 565-567, Philadelphia, Pa., June 1999. Demonstration description.

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In 1998
10

Conjunctive Constraint Mapping for Data Translation. K. C.-C. Chang and H. Garcia-Molina. In Proceedings of the 3rd ACM International Conference on Digital Libraries (DL 1998), pages 49-58, Pittsburgh, Pa., June 1998. (PDF)

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9

An Extensible Constructor Tool for the Rapid, Interactive Design of Query Synthesizers. M. Baldonado, S. Katz, A. Paepcke, K. C.-C. Chang, H. Garcia-Molina, and T. Winograd. In Proceedings of the 3rd ACM International Conference on Digital Libraries (DL 1998), pages 19-28, Pittsburgh, Pa., June 1998. (PDF)

Found on Publication Page
8

PowerBookmarks: An Advanced Web Bookmark Database System and its Information Sharing and Management. W.-S. Li, Y.-L. Wu, C. Bufi, K. C.-C. Chang, D. Agrawal, and Y. Hara. In Proceedings of the 5th International Conference of Foundations of Data Organization (FODO 1998), Kobe, Japan, November 1998.

Found on Publication Page
7

Interoperability for Digital Libraries Worldwide. A. Paepcke, K. C.-C. Chang, H. Garcia-Molina, and T. Winograd. Communications of the ACM, ACM Press, New York, 41(4):33-43, April 1998. (PDF)

Found on Publication Page
6

The Stanford InfoBus and Its Service Layers: Augmenting the Internet with Higher-Level Information Management Protocols. M. Roscheisen, M. Baldonado, K. C.-C. Chang, L. Gravano, S. Ketchpel, and A. Paepcke. In Digital Libraries in Computer Science: The MeDoc Approach, Lecture Notes in Computer Science No. 1392, pages 213-230. 1998. (PDF)

Found on Publication Page
In 1997
5

Evaluating the Cost of Boolean Query Mapping. K. C.-C. Chang and H. Garcia-Molina. In Proceedings of the Second ACM International Conference on Digital Libraries (DL 1997), pages 103-112, Philadelphia, Pa., July 1997. (28/104=27%). (PDF)

Found on Publication Page
4

Metadata for Digital Libraries: Architecture and Design Rationale. M. Baldonado, K. C.-C. Chang, L. Gravano, and A. Paepcke. In Proceedings of the Second ACM International Conference on Digital Libraries (DL 1997), pages 47-56, Philadelphia, Pa., July 1997. (28/104=27%). (PDF)

Found on Publication Page
3

STARTS: Stanford Proposal for Internet Meta-Searching. L. Gravano, K. C.-C. Chang, H. Garcia-Molina, and A. Paepcke. In Proceedings of the 1997 ACM SIGMOD Conference (SIGMOD 1997), pages 207-218, Tucson, Ariz., May 1997. (42/202=21%). (PDF)

Found on Publication Page
2

The Stanford Digital Library Metadata Architecture. M. Baldonado, K. C.-C. Chang, L. Gravano, and A. Paepcke. International Journal on Digital Libraries, Springer, Berlin, 1(2):108-121, September 1997. (PDF)

Found on Publication Page
In 1996
1

Boolean Query Mapping Across Heterogeneous Information Sources. K. C.-C. Chang, H. Garcia-Molina, and A. Paepcke. IEEE Transactions on Knowledge and Data Engineering, IEEE Computer Society, Washington, D.C., 8(4):515-521, August 1996. Extended Version (PDF)

Found on Publication Page
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