Selected Publications

(DBLP List of Publications)

1. Morteza Alipourlangouri, Fei Chiang: Mining Keys for Graphs. Data Knowl. Eng. 150: 102274 (2024)
   
   
2. Jongjun Park, Fei Chiang, Eduardo Correia Da Silva, Kevin Lytwyn, Stephen Veldhuis: Will my Flight be on Time? Learning from Part Failures to Predict Future Reliability. IEEE Big Data 2023: 1803-1813
   
   
3. M. Alipour Langouri, A. Mansfield, F. Chiang, Y. Wu. “Inconsistency Detection with Temporal Graph Functional Dependencies”. In ICDE 2023.
   
   
4. S. Manzuri Shalmani, F. Chiang, R. Zheng. “Efficient Action Recognition Using Confidence Distillation”. In International Conference on Pattern Recognition (ICPR), 2022.
   
   
5. M. Alipour Langouri, F. Chiang. “Discovery of Keys for Graphs”. In DaWaK 2022.
   
   
6. Z. Zheng, L. Zheng, M. Alipour Langouri, F. Chiang, L. Golab, J. Szlichta, S. Baskaran, A. Keller. "Contextual Data Cleaning with Ontology Functional Dependencies." In ACM JDIQ, 2022.
   
   
7. Y. Sun, Z. Zheng, S. Song, F. Chiang. "Confidence Bounded Replica Currency Estimation". In SIGMOD 2022.
   
   
8. M. Milani, Y. Huang, F. Chiang. "Data Anonymization with Diversity Constraints". In TKDE, 2021.
   
   
9. N. Li, D. Arnold, R. Barty, J. Blake, D. Down, F. Chiang, T. Courtney, M. Waito, R. Trifunove, N. Heddle. "From Demand Forecasting to Inventory Ordering Decisions for Red Blood Cells Through Integrating Machine Learning, Statistical Modeling and Inventory Optimization". Transfusion, 2021.   
   
   
10. L. Noronha, F. Chiang. Discovering Temporal Graph Functional Dependencies. CIKM 2021, pp. 3348-3352.
    
    
11. N. Li, D. Down, F. Chiang, N. Heddle. "A decision integration strategy for short-term demand forecasting and ordering for red blood cell components". Operations Research for Health Care, 2021.
    
    
12. M. Milani, Y. Huang, F. Chiang. Preserving Diversity in Anonymized Data. EDBT 2021, pp. 511-516.
    
    
13. Y. Huang, M. Milani, F. Chiang. Privacy-aware data cleaning as a service. Information Systems 92: 101608, 2020.
    
    
14. Z. Zheng, T. Quach, Z. Jin, M. Milani, F. Chiang. CurrentClean: Interactive Change Exploration and Cleaning of Stale Data. In CIKM'19, demo paper, pp. 2917-2920.
    
    
15. H. Ma, M. Alipour Langouri, Y. Wu, F. Chiang, J. Pi. Ontology-based Entity Matching in Attributed Graphs. In VLDB 2019, pp. 1195 - 1207.
    
    
16. M. Milani, Z. Zheng, F. Chiang. CurrentClean: Spatio-temporal Cleaning of Stale Data In ICDE 2019, pp. 172-183.
    
    
17. Y. Huang, M. Milani, F. Chiang. PACAS: Privacy-Aware, Data Cleaning-as-a-Service. IEEE International Conference on Big Data 2018, pp. 1023-2030.
    
    
18. M. Langouri, F. Chiang. KeyMiner: Discovering Keys for Graphs. In VLDB workshop on Advances in mining Large-Scale Time Dependent Graphs, 2018.
    
    
19. M. Langouri, Z. Zheng, F. Chiang, L. Golab, J. Szlichta. Contextual Data Cleaning. In ICDE workshop on Context in Analytics, 2018.
    
    
20. F. Chiang, D. Gairola. InfoClean: Protecting Sensitive Information in Data Cleaning. In ACM Journal of Data and Information Quality. Vol. 9(4), 2018, pp. 1-26.
    
    
21. Z. Zheng, M. Alipour Langouri, Z. Qu, I. Currie, F. Chiang, L. Golab, J. Szlichta. FastOFD: Contextual Data Cleaning with Ontology Functional Dependencies. In EDBT 2018, pp. 694-697. (demo track).
    
    
22. F. Rahimi Asl, F. Chiang, W. He, R. Samavi. Privacy Aware Web Services with Data Obfuscation. In Workshop on Security and Privacy in the Cloud 2017, pp. 458-466.
    
    
23. S. Baskaran, A. Keller, F. Chiang, L. Golab, J. Szlichta. Efficient Discovery of Ontology Functional Dependencies. In CIKM 2017, pp. 1847-1856.