{"id":9,"date":"2014-06-27T20:56:46","date_gmt":"2014-06-27T20:56:46","guid":{"rendered":"http:\/\/130.113.68.172\/?page_id=9"},"modified":"2025-06-25T16:15:26","modified_gmt":"2025-06-25T16:15:26","slug":"publications","status":"publish","type":"page","link":"https:\/\/datasci.cas.mcmaster.ca\/?page_id=9","title":{"rendered":"Publications"},"content":{"rendered":"<h2>Selected Publications<\/h2>\n<ul>\n<li>Z. Dou, F. Chiang.\u00a0 &#8220;Vertical Federated Learning Across Second-hop Parties&#8221;.\u00a0 PAKDD 2025.<\/li>\n<li>A. Rahaman, A. Zheng, M. Milani, F. Chiang, R. Pottinger. &#8220;Evaluating SQL Understanding in Large Language Models&#8221;. International Conference on Extending Database Technology (EDBT), 2025.<\/li>\n<li>Morteza Alipourlangouri, Fei Chiang <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0169023X23001349?via%3Dihub\" target=\"_blank\" rel=\"noopener\">Mining Keys for Graphs.<\/a> Data and Knowledge Engineering 150: 102274<\/li>\n<li>Jongjun Park, Akanksha Nehete, Tammy Zeng, Fei Chiang <a href=\"https:\/\/vldb.org\/workshops\/2024\/proceedings\/QDB\/QDB-8.pdf\" target=\"_blank\" rel=\"noopener\">A Data Generator to Explore the Interactions Between Concept Drifts and Anomalies [Demo]. <\/a>VLDB Workshops 2024<\/li>\n<li>Mostafa Milani, Yu Huang, Fei Chiang. <a href=\"https:\/\/ieeexplore.ieee.org\/document\/9629273\" target=\"_blank\" rel=\"noopener\">Data Anonymization With Diversity Constraints.<\/a> IEEE Transactions Knowledge and Data Engineering (TKDE). 35(4): 3603-3618 (2023)<\/li>\n<li>Jongjun Park, Fei Chiang, Eduardo Correia Da Silva, Kevin Lytwyn, Stephen Veldhuis. <a href=\"https:\/\/ieeexplore.ieee.org\/document\/10386304\" target=\"_blank\" rel=\"noopener\">Will my Flight be on Time? Learning from Part Failures to Predict Future Reliability.<\/a> IEEE Big Data 2023: 1803-1813<\/li>\n<li>J. Chen, P. Kollmeyer, F. Chiang, A. Emadi. &#8220;Lithium-Ion Battery State-of-Health Estimation via Histogram Data, Principal Component Analysis, and Machine Learning&#8221;. IEEE Transportation Electrification Conference, 2023.<\/li>\n<li>M. Alipour Langouri, A. Mansfield, F. Chiang, Y. Wu. &#8220;Inconsistency Detection with Temporal Graph Functional Dependencies&#8221;.\u00a0 ICDE 2023.<\/li>\n<li>S. Manzuri Shalmani, Fei Chiang, Rong Zheng. \u201cEfficient Action Recognition Using Confidence Distillation&#8221;.\u00a0 In International Conference on Pattern Recognition (ICPR), 2022.<\/li>\n<li>M. Alipour Langouri, F. Chiang.\u00a0 &#8220;Discovery of Keys for Graphs&#8221;.\u00a0 In DaWaK 2022.<\/li>\n<li>Z. Zheng, L. Zheng, M. Alipour Langouri, F. Chiang, L. Golab, J. Szlichta, S. Baskaran, A. Keller. &#8220;Contextual Data Cleaning with Ontology Functional Dependencies.&#8221; In ACM JDIQ, 2022.<\/li>\n<li>Y. Sun, Z. Zheng, S. Song, F. Chiang. &#8220;Confidence Bounded Replica Currency Estimation&#8221;. In SIGMOD 2022.<\/li>\n<li>M. Milani, Y. Huang, F. Chiang. &#8220;Data Anonymization with Diversity Constraints&#8221;. TKDE 2021.<\/li>\n<li class=\"p1\">N. Li, D. Arnold, R. Barty, J. Blake, D. Down, F. Chiang, T. Courtney, M. Waito, R. Trifunove, N. Heddle. &#8220;From Demand Forecasting to Inventory Ordering Decisions for Red Blood Cells Through Integrating Machine Learning, Statistical Modeling and Inventory Optimization&#8221;. Transfusion, 2021.<span class=\"Apple-converted-space\"> \u00a0<\/span><\/li>\n<li class=\"p1\">L. Noronha, F. Chiang. &#8220;Discovering Temporal Graph Functional Dependencies.&#8221;\u00a0 CIKM 2021, pp. 3348-3352.<\/li>\n<li class=\"p1\">N.Li, D. Down, F. Chiang, N. Heddle.\u00a0 &#8220;A Decision integration strategy for short-term demand forecasting and ordering for red blood cell components.&#8221;\u00a0 Operations Research for Health Care.\u00a0 2021.<\/li>\n<li>M. Milani, Y. Huang, F. Chiang. &#8220;Preserving Diversity in Anonymized Data&#8221;.\u00a0 EDBT 2021, pp. 511-516.<\/li>\n<li>Y. Huang, M. Milani, F. Chiang. &#8220;Privacy-Aware Data Cleaning-as-a-Service&#8221;.\u00a0 Information Systems Vol. 94, 2020.<\/li>\n<li>Z. Zheng, T. Quach, Z. Jin, M. Milani, F. Chiang. &#8220;CurrentClean: Interactive Change Exploration and Cleaning of Stale Data&#8221;.\u00a0 CIKM 2019, pp. 2917-2920.<\/li>\n<li>H. Ma, M. Alipour Langouri, Y. Wu, F. Chiang, J. Pi.\u00a0 &#8220;Ontology-based Entity Matching in Attributed Graphs&#8221;.\u00a0 VLDB 2019, pp. 1195 &#8211; 1207.<\/li>\n<li>M. Milani, Z. Zheng, F. Chiang &#8220;CurrentClean: Spatio-temporal Cleaning of Stale Data.&#8221;\u00a0 ICDE 2019, pp. 172-183.<\/li>\n<li>Y. Huang, M. Milani, F. Chiang.\u00a0 &#8220;PACAS: Privacy-Aware, Data Cleaning-as-a-Service&#8221;. IEEE International Conference on Big Data, pp. 1023-1030, 2018.<\/li>\n<li>M. Langouri, F. Chiang.\u00a0 &#8220;KeyMiner: Discovering Keys for Graphs&#8221;.\u00a0 In VLDB workshop on\u00a0Advances in Mining Large-Scale Time Dependent Graphs, 2018.<\/li>\n<li>M. Langouri, Z. Zheng, F. Chiang, L. Golab, J. Szlichta.\u00a0 &#8220;Contextual Data Cleaning&#8221;.\u00a0 In ICDE workshop on Context in Analytics, 2018.<\/li>\n<li>F. Chiang, D. Gairola.\u00a0 &#8220;InfoClean: Protecting Sensitive Information in Data Cleaning&#8221;.\u00a0<span class=\"s3\">\u00a0In ACM Journal of Data and Information Quality. Vol. 9(4), 2018, pp. 1-26<\/span><\/li>\n<li>Z. Zheng, M. Alipour Langouri, Z. Qu, I. Currie, F. Chiang, L. Golab, J. Szlichta.\u00a0 &#8220;FastOFD: Contextual Data Cleaning with Ontology Functional Dependencies&#8221;.\u00a0 In EDBT pp. 694-697, 2018 (demo track).<\/li>\n<li>S. Baskaran, A. Keller, F. Chiang, J. Szlichta, L. Golab. &#8220;Efficient Discovery of Ontology Functional Dependencies&#8221;. In CIKM, pp. 1847-1856, 2017.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Selected Publications Z. Dou, F. Chiang.\u00a0 &#8220;Vertical Federated Learning Across Second-hop Parties&#8221;.\u00a0 PAKDD 2025. A. Rahaman, A. Zheng, M. Milani, F. Chiang, R. Pottinger. &#8220;Evaluating SQL Understanding in Large Language Models&#8221;. International Conference on Extending Database Technology (EDBT), 2025. Morteza Alipourlangouri, Fei Chiang Mining Keys for Graphs. Data and Knowledge Engineering 150: 102274 Jongjun Park, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":3,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/datasci.cas.mcmaster.ca\/index.php?rest_route=\/wp\/v2\/pages\/9"}],"collection":[{"href":"https:\/\/datasci.cas.mcmaster.ca\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/datasci.cas.mcmaster.ca\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/datasci.cas.mcmaster.ca\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/datasci.cas.mcmaster.ca\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=9"}],"version-history":[{"count":72,"href":"https:\/\/datasci.cas.mcmaster.ca\/index.php?rest_route=\/wp\/v2\/pages\/9\/revisions"}],"predecessor-version":[{"id":1180,"href":"https:\/\/datasci.cas.mcmaster.ca\/index.php?rest_route=\/wp\/v2\/pages\/9\/revisions\/1180"}],"wp:attachment":[{"href":"https:\/\/datasci.cas.mcmaster.ca\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=9"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}