Publications By Year    By Type

underline: student, post-doc, or affiliate under supervision while work was done; *: co-supervised student; ^: co-first authors

    2024

  1. Rishabh Mediratta, Jacob Devasier, and Chengkai Li. Enabling Automated Fact Checking of Voting Related Claims Using Frame Semantic Parsing and Semantic Search. In Proceedings of the Undergraduate Consortium at the 30th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-UC), Barcelona, Spain, August 25-29, 2024. PDF poster ClaimLens
  2. Jacob Devasier, Rishabh Mediratta, Phuong Anh Le, David Huang, and Chengkai Li. ClaimLens: Automated, Explainable Fact-Checking on Voting Claims Using Frame-Semantics. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 311-319, Maimi, Florida, November 12-16, 2024. ACL Anthology ClaimLens
  3. Zeyu Zhang, Zhengyuan Zhu, Haiqi Zhang, and Chengkai Li. Exploring Behavioral Tendencies on Social Media: A Perspective Through Claim Check-Worthiness. In Proceedings of the 16th International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Rende(CS), Calabria, Italy, September 2-5, 2024. To appear. PDF dataset
  4. Haiqi Zhang, Zhengyuan Zhu, Zeyu Zhang, Jacob Devasier, and Chengkai Li. Granular Analysis of Social Media Users’ Truthfulness Stances Toward Climate Change Factual Claims. In Proceedings of the Workshop of Natural language Processing meets Climate Change (ClimateNLP) , Bangkok, Thailand, August 11-16, 2024. To appear. (Co-located with ACL 2024) ACL Anthology poster slides
  5. Kevin Meng^, Damian Jimenez^, Jacob Devasier, Sai Sandeep Naraparaju, Fatma Arslan, Daniel Obembe and Chengkai Li. Gradient-Based Adversarial Training on Transformer Networks for Detecting Check-Worthy Factual Claims. In ACM Transactions on Intelligent Systems and Technology (TIST), 15(6): 120:6-1:25, August 2024. PDF ClaimBuster API codebase dataset data annotation video 1 video 2
  6. Jacob Devasier, Yogesh Gurjar, and Chengkai Li. Robust Frame-Semantic Models with Lexical Unit Trees and Negative Samples. In Proceedings of the 62nd Annual Meeting of Association of Computational Linguistics (ACL), Bangkok, Thailand, August 11-16, 2024. ACL Anthology poster slides codebase talk
  7. Zeyu Zhang, Zhengyuan Zhu, Haiqi Zhang, Foram Patel, Josue Caraballo, Patrick Hennecke, and Chengkai Li. Wildfire: A Twitter Social Sensing Platform for Layperson. In Proceedings of the 17th ACM International Conference on Web Search and Data Mining (WSDM), pages 1106-1109, Mérida, Yucatán, Mexico, March 4-8, 2024. Demonstration description. PDF poster Wildfire online demo video

    8. 2023

  8. Xiao Shi, Zhengyuan Zhu, Zeyu Zhang, and Chengkai Li. Hallucination Mitigation in Natural Language Generation from Large-Scale Open-Domain Knowledge Graphs. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 12506-12521, Singapore, December 6-10, 2023. ACL Anthology poster slides codebase dataset talk
  9. Nasim Shirvani Mahdavi, Farahnaz Akrami, Mohammed Samiul Saeef, Xiao Shi, and Chengkai Li. Comprehensive Analysis of Freebase and Dataset Creation for Robust Evaluation of Knowledge Graph Link Prediction Models. In Proceedings of the 22nd International Semantic Web Conference (ISWC), pages 113–133, Athens, Greece, November 6-10, 2023. (acceptance rate 17/70=24.3%) PDF slides codebase dataset talk
  10. Firoj Alam, Alberto Barrón-Cedeño, Gullal S. Cheema, Gautam Kishore Shahi, Sherzod Hakimov, Maram Hasanain, Chengkai Li, Rubén Míguez, Hamdy Mubarak, Wajdi Zaghouani, and Preslav Nakov. Overview of the CLEF-2023 CheckThat! Lab Task 1 on Check-Worthiness in Multimodal and Multigenre Content. In Working Notes of the Conference and Labs of the Evaluation Forum (CLEF), pages 219-235, Thessaloniki, Greece, September 18-21, 2023. PDF
  11. Alberto Barrón-Cedeño, Firoj Alam, Andrea Galassi, Giovanni Da San Martino, Preslav Nakov, Tamer Elsayed, Dilshod Azizov, Tommaso Caselli, Gullal S. Cheema, Fatima Haouari, Maram Hasanain, Mücahid Kutlu, Chengkai Li, Federico Ruggeri, Julia Maria Struß, and Wajdi Zaghouani. Overview of the CLEF-2023 CheckThat! Lab on Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority of News Articles and Their Source. In Proceedings of the 14th International Conference of the CLEF Association (CLEF), pages 251-275, Thessaloniki, Greece, September 18-21, 2023. Springer
  12. Mingyan Xiao, Wenqiang Jin, Chengkai Li, and Ming Li. Eliciting Joint Truthful Answers and Profiles From Strategic Workers in Mobile Crowdsourcing Systems. In IEEE Transactions on Mobile Computing, 22(8), 4620-4633, August 2023. IEEE

    13. 2022

  13. Preslav Nakov, Alberto Barrón-Cedeño, Giovanni Da San Martino, Firoj Alam, Rubén Míguez, Tommaso Caselli, Mücahid Kutlu, Wajdi Zaghouani, Chengkai Li, Shaden Shaar, Hamdy Mubarak, Alex Nikolov, and Yavuz Selim Kartal. Overview of the CLEF-2022 CheckThat! Lab Task 1 on Identifying Relevant Claims in Tweets. In Working Notes of the Conference and Labs of the Evaluation Forum (CLEF), pages 368-392, Bologna, Italy, September 5-8, 2022. PDF
  14. Preslav Nakov, Alberto Barrón-Cedeño, Giovanni Da San Martino, Firoj Alam, Julia Maria Struß, Thomas Mandl, Rubén Míguez, Tommaso Caselli, Mücahid Kutlu, Wajdi Zaghouani, Chengkai Li, Shaden Shaar, Gautam Kishore Shahi, Hamdy Mubarak, Alex Nikolov, Nikolay Babulkov, Yavuz Selim Kartal, Michael Wiegand, Melanie Siegel, and Juliane Köhler. Overview of the CLEF-2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection. In Proceedings of the 13th International Conference of the CLEF Association (CLEF), pages 495-520, Bologna, Italy, September 5-8, 2022. Springer
  15. Zhengyuan Zhu, Zeyu Zhang, Foram Patel, Chengkai Li. Detecting Stance of Tweets Toward Truthfulness of Factual Claims. In Proceedings of the 2022 Computation+Journalism Symposium, 4 pages, New York City, New York, Jun 2022. PDF poster slides
  16. Preslav Nakov, Alberto Barrón-Cedeño, Giovanni Da San Martino, Firoj Alam, Julia Maria Struß, Thomas Mandl, Rubén Míguez, Tommaso Caselli, Mücahid Kutlu, Wajdi Zaghouani, Chengkai Li, Shaden Shaar, Gautam Kishore Shahi, Hamdy Mubarak, Alex Nikolov, Nikolay Babulkov, Yavuz Selim Kartal, and Javier Beltrán. The CLEF-2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection. In Proceedings of the 44th European Conference on IR Research (ECIR), pages 416-428, Stavanger, Norway, April 10-14, 2022. Springer

    17. 2021

  17. Chengkai Li, and Jun Yang. Special Issue on Data Validation for Machine Learning Models and Applications. In IEEE Data Engineering Bulletin, 44(3): 2-3, March 2021. IEEE
  18. Zhengyuan Zhu, Kevin Meng, Josue Caraballo, Israa Jaradat, Xiao Shi, Zeyu Zhang, Farahnaz Akrami, Haojin Liao, Fatma Arslan, Damian Jimenez, Mohammed Samiul Saeef, Paras Pathak, Chengkai Li. A Dashboard for Mitigating the COVID-19 Misinfodemic. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL): System Demonstrations, pages 99–105, April 19-23, 2021. ACL Anthology poster slides codebase dataset video

    19. 2020

  19. Gong Cheng, Shuxin Li, Ke Zhang, and Chengkai Li. Generating Compact and Relaxable Answers to Keyword Queries over Knowledge Graphs. In Proceedings of the 19th International Semantic Web Conference (ISWC), pages 110-127, Athens, Greece, November 2-6, 2020. Springer
  20. Zequn Sun, Qingheng Zhang, Wei Hu, Chengming Wang, Muhao Chen, Farahnaz Akrami, and Chengkai Li. A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs. In Proceedings of the VLDB Endowment (PVLDB), 13(11): 2326-2340, July 2020. PDF
  21. Farahnaz Akrami, Mohammed Samiul Saeef, Qingheng Zhang, Wei Hu, and Chengkai Li. Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study. In Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data (SIGMOD), pages 1995-2010, Portland, Oregon, June 2020. (acceptance rate 123/458=26.9%) PDF slides codebase reproducibility package talk blog
  22. Fatma Arslan, Naeemul Hassan, Chengkai Li, and Mark Tremayne. A Benchmark Dataset of Check-worthy Factual Claims. In Proceedings of the International AAAI Conference on Web and Social Media (ICWSM), June 2020. ACL Anthology dataset data annotation talk
  23. Fatma Arslan, Josue Caraballo, Damian Jimenez, and Chengkai Li. Modeling Factual Claims with Semantic Frames. In Proceedings of the Twelfth International Conference on Language Resources and Evaluation (LREC), Marseille, France, May 11-16, 2020, pages 2511-2520 ACL Anthology Frame Annotator dataset
  24. Shuxin Li, Gong Cheng, Chengkai Li. Relaxing relationship queries on graph data. In Journal of Web Semantics, 61-62: 100557, March 2020. ScienceDirect

    25. 2019

  25. Sarthak Majithia, Fatma Arslan, Sumeet Lubal, Damian Jimenez, Priyank Arora, Josue Caraballo, and Chengkai Li. ClaimPortal: Integrated Monitoring, Searching, Checking, and Analytics of Factual Claims on Twitter. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL): System Demonstrations, pages 153-158, Florence, Italy, July 2019. ACL Anthology poster ClaimPortal online demo video
  26. Naeemul Hassan, Chengkai Li, Jun Yang, and Cong Yu. Introduction to the Special Issue on Combating Digital Misinformation and Disinformation. In ACM Journal of Data and Information Quality (JDIQ), 11(3): 9:1-9:3, July 2019. ACM DL
  27. Fatma Arslan, Damian Jimenez, Josue Caraballo, Gensheng Zhang, and Chengkai Li. Modeling Factual Claims by Frames. In Proceedings of the 2019 Computation+Journalism Symposium, 5 pages, Miami, Florida, February 2019. PDF poster
  28. Bill Adair, Chengkai Li, Jun Yang, and Cong Yu. Automated Pop-Up Fact-Checking: Challenges & Progress. In Proceedings of the 2019 Computation+Journalism Symposium, 5 pages, Miami, Florida, February 2019. PDF
  29. Bill Adair, Mark Stencel, Cathy Clabby, and Chengkai Li. The Human Touch in Automated Fact-Checking. In Proceedings of the 2019 Computation+Journalism Symposium, 5 pages, Miami, Florida, February 2019. PDF

    30. 2018

  30. Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, and Qing He. Discovering and Learning Sensational Episodes of News Events. In Information Systems (IS), 78: 68-80, November 2018. ScienceDirect
  31. Farahnaz Akrami, Lingbing Guo, Wei Hu, and Chengkai Li. Re-evaluating Embedding-Based Knowledge Graph Completion Methods. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM), pages 1779-1782, Torino, Italy, October 2018. (short paper acceptance rate 97/414=23.4%) PDF poster
  32. Jun Yang, Pankaj K. Agarwal, Sudeepa Roy, Brett Walenz, You Wu, Cong Yu, and Chengkai Li. Query Perturbation Analysis: An Adventure of Database Researchers in Fact-Checking. In IEEE Data Engineering Bulletin, 41(3): 28-42, September 2018. PDF
  33. Sourav S. Bhowmick, Byron Choi, and Chengkai Li. Human Interaction with Graphs. In Synthesis Lectures on Data Management, editor: H. V. Jagadish, Morgan and Claypool Publishers, 2018. Springer
  34. Gensheng Zhang and Chengkai Li. Maverick: A System for Discovering Exceptional Facts from Knowledge Graphs. In Proceedings of the VLDB Endowment (PVLDB), 11(12): 1934-1937, August 2018. Demonstration description. PDF Maverick online demo video
  35. Damian Jimenez and Chengkai Li. An Empirical Study on Identifying Sentences with Salient Factual Statements. In Proceedings of the 2018 International Joint Conference on Neural Networks (IJCNN), 8 pages, Rio de Janeiro, Brazil, July 2018. PDF poster ClaimBuster API codebase dataset data annotation video 1 video 2
  36. Gensheng Zhang, Damian Jimenez, and Chengkai Li. Maverick: Discovering Exceptional Facts from Knowledge Graphs. In Proceedings of the 2018 ACM SIGMOD International Conference on Management of Data (SIGMOD), pages 1317-1332, Houston, Texas, June 2018. (acceptance rate 90/461=19.5%) PDF slides poster Maverick online demo talk video
  37. Afroza Sultana and Chengkai Li. Continuous Monitoring of Pareto Frontiers on Partially Ordered Attributes for Many Users. In Proceedings of the 21st International Conference on Extending Database Technology (EDBT), pages 85-96, Vienna, Austria, March 2018. (acceptance rate 35/142=24.6%) PDF slides poster
  38. Sona Hasani, Ning Yan, and Chengkai Li. TableView: A Visual Interface for Generating Preview Tables of Entity Graphs. In Proceedings of the 34th International Conference on Data Engineering (ICDE), pages 1617-1620, Paris, France, April 2018. Demonstration description. PDF poster video

    39. 2017

  39. Zequn Sun, Wei Hu, and Chengkai Li. Cross-lingual Entity Alignment via Joint Attribute-Preserving Embedding. In Proceedings of the 16th International Semantic Web Conference (ISWC), pages 628-644, Vienna, Austria, October 2017. (acceptance rate 44/197=22.3%) Springer
  40. Bill Adair, Chengkai Li, Jun Yang, and Cong Yu. Progress Toward “the Holy Grail”: The Continued Quest to Automate Fact-Checking. In Proceedings of the 2017 Computation+Journalism Symposium, 5 pages, Evanston, Illinois, October 2017. PDF
  41. Naeemul Hassan, Gensheng Zhang, Fatma Arslan, Josue Caraballo, Damian Jimenez, Siddhant Gawsane, Shohedul Hasan, Minumol Joseph, Aaditya Kulkarni, Anil Kumar Nayak, Vikas Sable, Chengkai Li, and Mark Tremayne. ClaimBuster:The First-ever End-to-end Fact-checking System. In Proceedings of the VLDB Endowment (PVLDB), 10(12): 1945-1948, August 2017. Demonstration description. (acceptance rate 35/115=30.4%) PDF poster ClaimBuster API codebase dataset data annotation video 1 video 2
  42. Naeemul Hassan, Fatma Arslan, Chengkai Li, and Mark Tremayne. Toward Automated Fact-Checking: Detecting Check-worthy Factual Claims by ClaimBuster. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pages 1803-1812, Halifax, Nova Scotia, Canada, August 2017. (Applied Data Science track, full paper, poster presentation, acceptance rate 85/396=21.5%) PDF poster ClaimBuster API codebase dataset data annotation video 1 video 2
  43. Sourav S. Bhowmick, Byron Choi, and Chengkai Li. Graph Querying Meets HCI: State of the Art and Future Directions. In Proceedings of the 2017 ACM International Conference on Management of Data (SIGMOD), pages 1731-1736, Chicago, Illinois, USA, May 2017. (Tutorial track) PDF
  44. You Wu, Pankaj K. Agarwal, Chengkai Li, Jun Yang, and Cong Yu. Computational Fact-Checking through Query Perturbations. In ACM Transactions on Database Systems (TODS), 42(1): 4:1-4:41, March 2017. PDF

    45. 2016

  45. Naeemul Hassan, Mark Tremayne, Fatma Arslan, and Chengkai Li. Comparing Automated Factual Claim Detection Against Judgments of Journalism Organizations. In Proceedings of the 2016 Computation+Journalism Symposium, 5 pages, Stanford, California, USA, September 2016. PDF slides
  46. Nandish Jayaram, Rohit Bhoopalam, Chengkai Li, and Vassilis Athitsos. Orion: Enabling Suggestions in a Visual Query Builder for Ultra-Heterogeneous Graphs. Technical Report, arXiv:1605.06856, May 2016. PDF Orion online demo video
  47. Ning Yan, Sona Hasani, Abolfazl Asudeh, and Chengkai Li. Generating Preview Tables for Entity Graphs. In Proceedings of the 2016 ACM SIGMOD International Conference on Management of Data (SIGMOD), pages 1797-1811, San Francisco, California, June 2016. (acceptance rate 116/=%) (ACM SIGMOD 2017 Most Reproducible Paper Award) PDF slides poster video reproducibility package
  48. Nandish Jayaram, Arijit Khan, Chengkai Li, Xifeng Yan, and Ramez Elmasri. Querying Knowledge Graphs by Example Entity Tuples. In Proceedings of the 31st International Conference on Data Engineering (ICDE), TKDE poster track, pages 1494-1495, Helsinki, Finland, May 2016. PDF poster GQBE online demo video

    49. 2015

  49. Naeemul Hassan, Chengkai Li, and Mark Tremayne. Detecting Check-worthy Factual Claims in Presidential Debates. In Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM), pages 1835-1838, Melbourne, Australia, October 2015. (KM track short Paper, full paper acceptance rate 87/484=18.0%, short paper acceptance rate 36/484=7.4%) PDF
  50. Abolfazl Asudeh, Gensheng Zhang, Naeemul Hassan, Chengkai Li, and Gergely Zaruba. Crowdsourcing Pareto-Optimal Object Finding by Pairwise Comparisons. In Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM), pages 753-762, Melbourne, Australia, October 2015. (DB track full Paper, acceptance rate 35/166=21.1%) PDF slides
  51. Naeemul Hassan, Bill Adair, James Hamilton, Chengkai Li, Mark Tremayne, Jun Yang and Cong Yu. The Quest to Automate Fact-Checking. In Proceedings of the 2015 Computation+Journalism Symposium, 5 pages, New York City, USA, October 2015. PDF
  52. Nandish Jayaram, Arijit Khan, Chengkai Li, Xifeng Yan, and Ramez Elmasri. Querying Knowledge Graphs by Example Entity Tuples. In IEEE Transactions on Knowledge and Data Engineering (TKDE), 27(10): 2797-2811, October 2015. PDF GQBE online demo video
  53. Nandish Jayaram, Sidharth Goyal, and Chengkai Li. VIIQ: Auto-suggestion Enabled Visual Interface for Interactive Graph Query Formulation. In Proceedings of the VLDB Endowment (PVLDB), 8(12): 1940-1943, August 2015. Demonstration description. (acceptance rate 49/150=32.7%) PDF poster Orion online demo video
  54. Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, and Qing He. Online Frequent Episode Mining. In Proceedings of the 31st International Conference on Data Engineering (ICDE), pages 891-902, Seoul, Korea, April 2015. (acceptance rate 84/645=13.9%) PDF

    55. 2014

  55. Brett Walenz, You (Will) Wu, Seokhyun (Alex) Song, Emre Sonmez, Eric Wu, Kevin Wu, Pankaj K. Agarwal, Jun Yang, Naeemul Hassan, Afroza Sultana, Gensheng Zhang, Chengkai Li, and Cong Yu. Finding, Monitoring, and Checking Claims Computationally Based on Structured Data. In Proceedings of the 2014 Computation+Journalism Symposium, 5 pages, New York City, USA, October 2014. PDF
  56. Naeemul Hassan, Huadong Feng, Ramesh Venkataraman, Gautam Das, Chengkai Li, and Nan Zhang. Anything You Can Do, I Can Do Better: Finding Expert Teams by CrewScout. In Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM), pages 2030-2032, Shanghai, China, November 2014. Demonstration description. (acceptance rate 29/73=39%) PDF slides poster video
  57. Naeemul Hassan, Afroza Sultana, You Wu, Gensheng Zhang, Chengkai Li, Jun Yang, and Cong Yu. Data In, Fact Out: Automated Monitoring of Facts by FactWatcher. In Proceedings of the VLDB Endowment (PVLDB), pages 1557-1560, 2014. Demonstration description. (acceptance rate 42/115=36.5%) (Excellent Demonstration Award) PDF poster video
  58. Nandish Jayaram, Arijit Khan, Chengkai Li, Xifeng Yan, and Ramez Elmasri. Towards a Query-by-Example System for Knowledge Graphs. In Proceedings of the 2nd International Workshop on Graph Data Management Experiences and Systems (GRADES), 6 pages, Snowbird, Utah, USA, June 2014. (Co-located with ACM SIGMOD 2014) PDF slides GQBE online demo video
  59. You Wu, Brett Walenz, Peggy Li, Andrew Shim, Emre Sonmez, Pankaj Agarwal, Chengkai Li, Jun Yang, and Cong Yu. iCheck: Computationally Combating "Lies, D---ned Lies, and Statistics". In Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data (SIGMOD), pages 1063-1066, Snowbird, Utah, USA, June 2014. Demonstration description. (acceptance rate 29/76=38%) PDF
  60. Gensheng Zhang, Xiao Jiang*, Ping Luo, Min Wang, and Chengkai Li. Discovering General Prominent Streaks in Sequence Data. In ACM Transactions on Knowledge Discovery from Data (TKDD), 8(2): 9:1-9:37, June 2014. PDF video
  61. Nan Zhang, Chengkai Li, Naeemul Hassan, Sundaresan Rajasekaran, and Gautam Das. On Skyline Groups. In IEEE Transactions on Knowledge and Data Engineering (TKDE), 26(4): 942-956, April 2014. PDF video
  62. Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He, and Zhongzhi Shi. Discovering and Learning Sensational Episodes of News Events. In Proceedings of the 23rd International World Wide Web Conference (WWW), pages 217-218, Seoul, Korea, April 2014. (poster paper, acceptance rate 110/226=48.7%) PDF
  63. You Wu, Pankaj K. Agarwal, Chengkai Li, Jun Yang, and Cong Yu. Toward Computational Fact-Checking. In Proceedings of the VLDB Endowment (PVLDB), 7(7): 589-600, March 2014. PDF
  64. Afroza Sultana, Naeemul Hassan, Chengkai Li, Jun Yang, and Cong Yu. Incremental Discovery of Prominent Situational Facts. In Proceedings of the 30th International Conference on Data Engineering (ICDE), pages 112-123, Chicago, Illinois, USA, March 2014. (acceptance rate 89/446=20%) PDF slides poster video
  65. Nandish Jayaram, Mahesh Gupta, Arijit Khan, Chengkai Li, Xifeng Yan, and Ramez Elmasri. GQBE: Querying Knowledge Graphs by Example Entity Tuples. In Proceedings of the 30th International Conference on Data Engineering (ICDE), pages 1250-1253, Chicago, Illinois, USA, March 2014. Demonstration description. (acceptance rate 28/65=43%) PDF GQBE online demo video
  66. Chengkai Li, Bin He, Ning Yan, and Muhammad Assad Safiullah. Set Predicates in SQL: Enabling Set-Level Comparisons for Dynamically Formed Groups. In IEEE Transactions on Knowledge and Data Engineering (TKDE), 26(2): 438-452, February 2014. PDF

    67. 2013

  67. Lijiang Chen, Yibing Zhao, Shimin Chen, Hui Fang, Chengkai Li, and Min Wang. iPLUG: Personalized List Recommendation in Twitter. In Proceedings of the 14th International Conference on Web Information System Engineering (WISE), pages 88-103, Nanjing, China, October 2013. (acceptance rate 49/198=24.7%) SpringerLink
  68. Chengkai Li. On Contextual Ranking Queries in Databases. In Information Systems, 38(4): 509–523, June 2013. PDF
  69. Aditya Telang*, Sharma Chakravarthy, and Chengkai Li. Personalized Ranking in Web Databases: Establishing and Utilizing an Appropriate Workload. In Distributed and Parallel Databases (DPD), 31(1): 47-70, March 2013. SpringerLink
  70. Peng Jiang, Huiman Hou, Lijiang Chen, Shimin Chen, Conglei Yao, Chengkai Li, and Min Wang. Wiki3C: Exploiting Wikipedia for Context-aware Concept Categorization. In Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM), pages 345-354, Rome, Italy, February 2013. (acceptance rate 73/387=19%) PDF

    71. 2012

  71. Kulsawasd Jitkajornwanich, Ramez Elmasri, John Mcenery, and Chengkai Li. Extracting Storm-Centric Characteristics from Raw Rainfall Data for Storm Analysis and Mining. In Proceedings of the 1st ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data (BigSpatial), pages 91-99, Redondo Beach, California, USA, November 2012. (Co-located with ACM SIGSPATIAL GIS 2012) PDF
  72. Chengkai Li, Nan Zhang, Naeemul Hassan, Sundaresan Rajasekaran, and Gautam Das. On Skyline Groups. In Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM), pages 2119-2123, Maui, Hawaii, October 2012. (short Paper, full paper acceptance rate 146/1088=13.4%, short paper acceptance rate 156/1088=14.3%) PDF video
  73. Afroza Sultana, Quazi Hasan, Ashis Biswas, Soumyava Das, Habibur Rahman, Chris Ding, and Chengkai Li. Infobox Suggestion for Wikipedia Entities. In Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM), pages 2307-2310, Maui, Hawaii, October 2012. (poster paper, acceptance rate 106/228=46.5%) PDF
  74. Xiaonan Li, Chengkai Li, and Cong Yu. Entity-Relationship Queries over Wikipedia. In ACM Transactions on Intelligent Systems and Technology (TIST), 3(4): 70:1-70:20, September 2012. PDF
  75. Aditya Telang*, Chengkai Li, and Sharma Chakravarthy. One Size Does Not Fit All: Towards User- and Query-Dependent Ranking For Web Databases. In IEEE Transactions on Knowledge and Data Engineering (TKDE), 24(9): 1671-1685, September 2012. PDF
  76. You Wu, Pankaj K. Agarwal, Chengkai Li, Jun Yang, and Cong Yu. On "One of the Few" Objects. In Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pages 1487-1495, Beijing, China, August 2012. (acceptance rate 133/755=17.6%) PDF video
  77. Leonidas Fegaras, Chengkai Li, and Upa Gupta. An Optimization Framework for Map-Reduce Queries. In Proceedings of the 15th International Conference on Extending Database Technology (EDBT), pages 26-37, Berlin, Germany, March 2012. (acceptance rate 43/193=22.5%) PDF

    78. 2011

  78. Christoph Csallner, Leonidas Fegaras, and Chengkai Li. Testing MapReduce-Style Programs. In Proceedings of the 19th ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE), New Ideas Track, pages 504-507, Szeged, Hungary, September 2011. (acceptance rate 11/43=25.6%) PDF slides
  79. Xiao Jiang*, Chengkai Li, Ping Luo, Min Wang, and Yong Yu. Prominent Streak Discovery in Sequence Data. In Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pages 1280-1288, San Diego, California, USA, August 2011. (full paper, poster presentation, acceptance rate 125/714=17.5%) PDF poster video
  80. Kulsawasd Jitkajornwanich, Ramez Elmasri, Chengkai Li, and John Mcenery. Formalization of 2-D Spatial Ontology and OWL/Protégé Realization. In Proceedings of the 3rd International Workshop on Semantic Web Information Management (SWIM), 6 pages, Athens, Greece, June 2011. (Co-located with SIGMOD 2011) PDF
  81. Leonidas Fegaras, Chengkai Li, Upa Gupta, and Jijo Philip. XML Query Optimization in Map-Reduce. In Proceedings of the 14th International Workshop on the Web and Databases (WebDB), 6 pages, Athens, Greece, June 2011. (Co-located with SIGMOD 2011) (acceptance rate 12/43=27.9%) PDF
  82. Sarah Cohen, Chengkai Li, Jun Yang, and Cong Yu. Computational Journalism: A Call to Arms to Database Researchers. In Proceedings of the 5th Biennial Conference on Innovative Data Systems Research (CIDR), pages 148-151, Asilomar, California, USA, January 2011. (3rd place in best Outrageous Ideas and Vision (OIV) Track paper competition) PDF

    83. 2010

  83. Xiaonan Li, Chengkai Li, and Cong Yu. Entity-Relationship Queries over Wikipedia. In Proceedings of the 2nd International Workshop on Search and Mining User-generated Contents (SMUC), pages 21-28, Toronto, Canada, October 2010. (Co-located with CIKM 2010) (acceptance rate 8/32=25%) PDF slides
  84. Ning Yan, Chengkai Li, Senjuti B. Roy, Rakesh Ramegowda, and Gautam Das. Facetedpedia: Enabling Query-Dependent Faceted Search for Wikipedia. In Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM), pages 1927-1928, Toronto, Canada, October 2010. Demonstration description. PDF poster
  85. Xiaonan Li, Chengkai Li, and Cong Yu. EntityEngine: Answering Entity-Relationship Queries using Shallow Semantics. In Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM), pages 1925-1926, Toronto, Canada, October 2010. Demonstration description. PDF poster
  86. Chengkai Li and Christoph Csallner. Dynamic Symbolic Database Application Testing. In Proceedings of the Third International Workshop on Testing Database Systems (DBTest), 6 pages, Indianapolis, Indiana, USA, June 2010. (Co-located with SIGMOD 2010) PDF slides
  87. Chengkai Li, Ning Yan, Senjuti Basu Roy, Lekhendro Lisham, and Gautam Das. Facetedpedia: Dynamic Generation of Query-Dependent Faceted Interfaces for Wikipedia. In Proceedings of the 19th International World Wide Web Conference (WWW), pages 651-660, Raleigh, North Carolina, USA, April 2010. (acceptance rate 104/743=14%) PDF slides
  88. Xiaonan Li, Chengkai Li, and Cong Yu. Structured Querying of Annotation-Rich Web Text with Shallow Semantics. Technical Report, Department of Computer Science and Engineering, University of Texas at Arlington, March 2010. PDF

    89. 2009

  89. Aditya Telang*, Sharma Chakravarthy, and Chengkai Li. Query-By-Keywords (QBK): Query Formulation Using Semantics and Feedback. In Proceedings of the 2009 International Conference on Conceptual Modeling (ER), pages 191-204, 2009. (acceptance rate 31/162=19%) PDF
  90. Chengkai Li. XML Parsing, SAX/DOM. In Encyclopedia of Database Systems, editors-in-chief: M. Tamer Özsu, L. Liu, pages 3598-3601, Springer, 2009. PDF (2nd edition in 2018)

    91. 2008

  91. Aditya Telang*, Sharma Chakravarthy, and Chengkai Li. Querying for Information Integration: How to go from an Imprecise Intent to a Precise Query? In Proceedings of the 2008 International Conference on Management of Data (COMAD), pages 245-248, Bombay, India, December 2008. (Student paper) PDF

    92. 2007 and before

  92. Chengkai Li. Enabling Data Retrieval: By Ranking and Beyond. Ph.D. Dissertation. University of Illinois at Urbana-Champaign, 2007. PDF
  93. Chengkai Li, Min Wang, Lipyeow Lim, Haixun Wang, and Kevin Chen-Chuan Chang. Supporting Ranking and Clustering as Generalized Order-By and Group-By. In Proceedings of the 2007 ACM SIGMOD International Conference on Management of Data (SIGMOD), pages 127-138, Beijing, China, June 2007. (acceptance rate 69/480=14%) PDF slides
  94. Bin He, Chengkai Li, David Killian, Mitesh Patel, Yuping Tseng, and Kevin Chen-Chuan Chang. A Structure-Driven Yield-Aware Web Form Crawler: Building a Database of Online Databases. UIUCDCS-R-2006-2752, Department of Computer Science, UIUC, July 2006. PDF
  95. Chengkai Li, Kevin Chen-Chuan Chang, and Ihab F. Ilyas. Supporting Ad-hoc Ranking Aggregates. In Proceedings of the 2006 ACM SIGMOD International Conference on Management of Data (SIGMOD), pages 61-72, Chicago, Illinois, USA, June 2006. (acceptance rate 58/446=13%) PDF slides
  96. Chengkai Li, Kevin Chen-Chuan Chang, Ihab F. Ilyas, and Sumin Song. RankSQL: Query Algebra and Optimization for Relational Top-k Queries. In Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data (SIGMOD), pages 131-142, Baltimore, Maryland, USA, June 2005. (acceptance rate 65/431=15%) PDF slides
  97. Chengkai Li, Mohamed Ali, Kevin Chen-Chuan Chang, and Ihab F. Ilyas. RankSQL: Supporting Ranking Queries in Relational Database Management Systems. In Proceedings of the 31st International Conference on Very Large Data Bases (VLDB), pages 1342-1345, Trondheim, Norway, August 2005. Demonstration description. (acceptance rate 29/69=42%) PDF poster
  98. Govind Kabra, Chengkai Li, and Kevin Chen-Chuan Chang. Query Routing: Finding Ways in the Maze of the Deep Web. In Proceedings of the International Workshop on Challenges in Web Information Retrieval and Integration (WIRI), pages 64-73, Tokyo, Japan, April 2005. (Co-located with ICDE 2005) (acceptance rate 14/47=30%) PDF
  99. Kevin Chen-Chuan Chang, Bin He, Chengkai Li, Mitesh Patel, and Zhen Zhang. Structured Databases on the Web: Observations and Implications. SIGMOD Record, 33(3): 61-70, September 2004. PDF
  100. Chengkai Li, Philip Bohannon, Henry F. Korth, and P.P.S. Narayan. Composing XSL Transformations with XML Publishing Views. In Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data (SIGMOD), pages 515-526, San Diego, California, USA, June 2003. (acceptance rate 52/342=15%) PDF
  101. Philip Bohannon, Xin (Luna) Dong, Sumit Ganguly, Henry F. Korth, Chengkai Li, P.P.S. Narayan, and Pradeep Shenoy. Relational On-Line Exchange with XML. In Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data (SIGMOD), pages 673, San Diego, California, USA, June 2003. Demonstration description. PDF
  102. Chengkai Li and Kevin Chen-Chuan Chang. Discovering Attribute Locality across the Deep Web: an Ordering-Based Approach. UIUCDCS-R-2003-2323, Department of Computer Science, UIUC, February 2003. PDF
  103. Kevin Chen-Chuan Chang, Bin He, Chengkai Li, and Zhen Zhang. The UIUC Web Integration Repository. Department of Computer Science, University of Illinois at Urbana-Champaign, 2003

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