Kevin C. Chang
Bio: Kevin C. Chang is an Associate Professor in Computer Science, University of Illinois at Urbana-Champaign. He received a BS from National Taiwan University and PhD from Stanford University, in Electrical Engineering. His research addresses large scale information access, focusing on "entity-centric" information search, integration and mining over Web and social networks. He received a VLDB Best Papers Selection in 2000, an NSF CAREER Award in 2002, an NCSA Faculty Fellow Award in 2003, IBM Faculty Awards in 2004 and 2005, Academy for Entrepreneurial Leadership Faculty Fellow Award in 2008, and the Incomplete List of Excellent Teachers at University of Illinois in 2001, 2004, 2005, 2006, 2010, and 2011. He loves to bring research results to the real world and, with his students, co-founded Cazoodle, a startup from the University of Illinois, for deepening vertical "data-aware" search over the web.
Our research interests span from Data Management to Data Mining, Information Retrieval, and Machine Learning. Our recent focus studies 1) entity-centric search and integration over text and 2) information network analysis, and 3) interactive data analytics -- across the large unstructured and structured data on the Web and social networks. As our objectives, we aim at developing novel systems, prinicpled algorithms, and formal theories that ultimately deliver real world applications. As our approaches, we try to be inspired by and learn from the data we are tackling-- in both their nature and scale-- with machine learning and data processing techniques.
| Cazoodle: Search, integrate, and organize-- the real world. A UIUC startup aiming at bringing forward data-aware search, the objectives of the MetaQuerier and WISDM projects, to the world.
Cazoodle Place of Mine Apartment Search, Cazoodle Grant Forward Funding Opportunity Search
|ARISE: Augmented Reality Information Search Engine. While the Web, as the virtual world, has information about everything in the real world, the two worlds are organized in very different orders. Can we seamlessly "mash" the two worlds-- by reorganizing the Web's "pages" into the "entities" of the real world?|
| WISDM: Web Indexing and Search for Data Mining. The Web has gone far beyond a corpus of pages-- it contains all sorts of "stuff", can we search the Web for every "thing" it contains? [CIDR'07, VLDB'07 , WSDM'10, EDBT'10, WWW'10, WSDM'11 (Demos: SIGMOD'07, SIGMOD'09, SIGMOD'10)
Online Demo: Entity Search (Prototype system over 500-million English pages in the ClueWeb09 corpus, for 10+ entity types, running on a 30-node PC cluster.)
| MetaQuerier: Exploring and Integrating the Deep Web. the Web has deepened dramatically- A significant and increasing amount of information is now hidden on the "deep Web," behind the query interfaces of searchable databases, can we enable access and integrate such dynamic data? [SIGMOD'03, SIGMOD'04, KDD'04, VLDB'05, CIDR'05, KDD'05, TODS'06, CACM'07, VLDB'07, CIKM'08) (Demos: SIGMOD'04, SIGMOD'05,ICDE'05, ICDE'07
Online Demo: http://www.cazoodle.com
|AIM: Supporting Efficient Top-k Ranked Query Processing-- AIMing for top query answers. Our goal is to support ranked queries, or top-k queries, for matching data by "soft" conditions such as similarity, relevance, or preference, in order to return best k answers. [SIGMOD'02, SIGMOD'05, SIGMOD'06a, SIGMOD'06b, ICDE'07, TODS'07, TKDE'07, SIGMOD'07a, SIGMOD'07b] (Demos:VLDB'05, SIGMOD'07)|
- Rui Li, Towards a General Platform for Analyzing Social Media. Dec. 2013. First employment: Research Staff, Yahoo! Labs Silicon Valley.
- Tao Cheng, Toward Entity-Aware Search, Jun. 2010. First employment: Research Staff, Microsoft Research, Redmond, Washington.
- Chengkai Li, Enabling Data Retrieval: By Ranking and Beyond, Jun. 2006. First employment: Assistant Professor, University of Texas at Arlington.
- Zhen Zhang, Large Scale Information Integration on the Web: Finding, Understanding and Querying Web Databases, Dec. 2006. First employment: CTO, Cazoodle Inc.
- Bin He, A Holistic Paradigm for Large Scale Schema Matching, Jun. 2006. First employment: Research Staff, IBM Almaden Research Center.
- Seung-won Hwang, Supporting Ranking for Data Retrieval, Jun. 2005. First employment: Assistant Professor, Pohang University of Science and Technology, Korea.
- Academy of Entrepreneurial Leadership Faculty Fellow Award, 2008.
- IBM Faculty Award, 2004, 2005.
- NCSA (National Center for Supercomputing Applications) Faculty Fellows Award, 2003.
- National Science Foundation CAREER Award 2002.
- UIUC List of Teachers Ranked as Excellent by Their Students, Fall 2001, Spring 2004, Fall 2005, Spring 2006, Fall 2010, Fall 2011.
- Best-Papers selection of VLDB 2000 (invited to the "Best Papers of VLDB 2000" Special Issue of the VLDB Journal).
- Philips Research FMA Fellowship, 1996 - 1998.
- Associate Editor for PVLDB 2015, Apr. 2014 -- Mar. 2015.
- Associate Editor for IEEE Transactions on Knowledge and Data EngineeringJan. 2013 -- Present.
- Track Chairs/Senior PC Members: WWW2014 (Workshop Track), AAAI 2013 ("AI and the Web" track), WWW 2013 ("Bridging Structured and Unstructured Data" Track), WSDM 2012 (Best Paper Award Committee), ICDE 2011 (Demo Track), WSDM 2011, KDD 2010.
- PC Members for SIGMOD, VLDB, ICDE, KDD, ICDM, WWW, SIGIR, WSDM, CIKM, AAAI in recent years.
- From Information Extraction Research to Vertical Search Products: The Semantic Gap is More Than the Structure Divide. [Slides]
- Keynote Talk, Fourth Workshop on Data Extraction and Object Search, WWW 2014, April 2014.
- Keynote Talk, Vertical Search Relevance Workshop, WWW 2014, April 2014.
- Tutorial: Towards a Social Media Analytics Platform: Event Detection and User Profiling for Twitter, Tutorial at WWW 2014, April 2014.
- Tutorial: Data-Aware Search over the Web: Large-Scale Mining and Integration, Short Course at ADSC, January 2010.