Dr. Chengkai Li is Associate Professor, Associate Chair of the Department of Computer Science and Engineering, and Director of the Innovative Database and Information Systems Research Laboratory (IDIR) at the University of Texas at Arlington. Dr. Li's research interests span several areas related to big data intelligence and data science, including data management, data mining, applied machine learning, natural language processing, and their applications in computational journalism. His current research focuses on building large-scale human-assisting and human-assisted data and information systems with high usability, high efficiency and applications for social good. Particularly, his ongoing research projects include data-driven fact-checking, exceptional fact finding, fake-news detection, usability challenges in querying and exploring graph data, knowledge databases, and data exploration by ranking (top-k), skyline and preference queries. He has also worked on crowdsourcing, entity queries, database testing, database engine for top-k queries, and Web and XML data management.
To Aspiring Students
- I am always looking for sharp, highly motivated and hard-working PhD / Master's / Bachelor's students.
- NSF REU award available to undergraduate students doing research. Interested students can email me for further details.
Videos, Demos and Source Codes
- Ph.D. students:
Damian Jimenez (First Runner-Up Award in the SIGMOD17 Student Research Competition, undergraduate category)
- M.S. thesis students:
Ankit Shingavi (interned at Amazon A9 Lab)
- B.S. students:
- Graduated Ph.D. students:
(Ph.D. dissertation: Frameworks, Algorithms, and Systems for Efficient Discovery of Data-backed Facts, December 2017;
interned at NEC Labs and Google;
first-employment after graduation: Software Engineer, Google, Mountain View, CA)
(Ph.D. dissertation: Toward Automated Fact Monitoring And Checking, August 2016;
interned at AT&T and Qatar Computing Research Institute (QCRI);
first-employment after graduation: Assistant Professor, University of Mississippi, Oxford, MS)
(Ph.D. dissertation: Toward Better Usability of Query Systems for Massive Ultra-Heterogeneous Graphs: Novel Approaches of Query Formulation and Query Specification, May 2016;
co-advised with Ramez Elmasri;
interned at IBM Research India and HP Labs;
first-employment after graduation: Member of Technical Staff, Pivotal, Palo Alto, CA)
(Ph.D. dissertation: Novel Methods for Entity-centric Information Exploration, December 2013;
first-employment after graduation: Research Scientist, Huawei R&D Center, Santa Clara, CA)
(Ph.D. dissertation: A Holistic, Similarity-based Approach for Personalized Ranking in Web Databases, August 2011;
co-advised with Sharma Chakravarthy;
first-employment after graduation: Researcher, IBM Research India)
- By Associated Press, The Washington Post, The Guardian, The Dallas Morning News, KERA, NBC DFW, Austin American-Statesman, Poynter, Wired, and many more
DEMANDATA: Computational Journalism Research
- Graph4U: Tackling Usability Challenges in Querying and Exploring Entity Graphs
- Conference Organizing Committee:
CIKM 18 Sponsorship Co-Chair,
SIGMOD 17 Finance Chair,
WAIM 16 Publicity Co-Chair,
IPCCC (General Co-Chair 12, Program Co-Chair 10)
- Editorial Board: Distributed and Parallel Databases
- Program Committee:
SIGMOD 19 18 16 15,
VLDB 19 17 15 14 13,
KDD 18 17 16 15,
WWW 16 15 14 13 11,
ICDE 18 (demo) 17 14 13 11 (demo),
CIKM 18 17 16 15 14 13 12 10,
ICDM 16 13 12 11 10 08,
ISWC 18 17 16 15 14
- Journal Reviewer:
ACM SIGMOD Record,
- NSF Grant Review Panels (2016, 2015, 2014, 2010)
- "ClaimBuster: The Quest to Automate Fact-Checking", MetroCon, Arlington, TX, October 26th, 2017.
- "ClaimBuster: Toward the Holy Grail of Automated Fact-checking", Google, New York, NY, May 3rd, 2017.
- Panelist, "How Bots Are Automating Fact-Checking", South by Southwest (SXSW), Austin, TX, March 13th, 2017.
- "Tackling Usability Challenges in Querying Massive, Ultra-heterogeneous Graphs", North Carolina State University, Raleigh, North Carolina, February 9th, 2016.
- "Enabling Computational Journalism: Automated Fact-Checking and Story-Finding"
- Nanjing University, Nanjing, China, October 13th, 2015.
- Shandong University, Jinan, China, October 9th, 2015.
- ACM SIGMOD 2017 Most Reproducible Paper Award
- UT-Arlington Faculty Development Leave ("sabbatical"), Fall 2015
- VLDB 2014 Excellent Demonstration Award
- 2012 HP Labs Innovation Research Award
- 2011 HP Labs Innovation Research Award
- 3rd place in best Outrageous Ideas and Vision (OIV) Track paper competition in the 5th Biennial Conference on Innovative Data Systems Research (CIDR 2011)
- 2005 Excellent TA Award, Department of Computer Science, UIUC
Last Modified: 2018-03-15 Created: 2001-09-18 00:16:21