Publications

Selected Publications

  • J. Chen, P. Kollmeyer, F. Chiang, A. Emadi. “Lithium-Ion Battery State-of-Health Estimation via Histogram Data, Principal Component Analysis, and Machine Learning”. IEEE Transportation Electrification Conference, 2023.  (To appear)
  • M. Alipour Langouri, A. Mansfield, F. Chiang, Y. Wu. “Inconsistency Detection with Temporal Graph Functional Dependencies”. To appear in ICDE 2023.
  • S. Manzuri Shalmani, Fei Chiang, Rong Zheng. “Efficient Action Recognition Using Confidence Distillation”.  In International Conference on Pattern Recognition (ICPR), 2022.
  • M. Alipour Langouri, F. Chiang.  “Discovery of Keys for Graphs”.  In DaWaK 2022.
  • 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.
  • Y. Sun, Z. Zheng, S. Song, F. Chiang. “Confidence Bounded Replica Currency Estimation”. In SIGMOD 2022.
  • M. Milani, Y. Huang, F. Chiang. “Data Anonymization with Diversity Constraints”. TKDE 2021.
  • 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.  
  • L. Noronha, F. Chiang. “Discovering Temporal Graph Functional Dependencies.”  CIKM 2021, pp. 3348-3352.
  • 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.
  • M. Milani, Y. Huang, F. Chiang. “Preserving Diversity in Anonymized Data”.  EDBT 2021, pp. 511-516.
  • Y. Huang, M. Milani, F. Chiang. “Privacy-Aware Data Cleaning-as-a-Service”.  Information Systems Vol. 94, 2020.
  • Z. Zheng, T. Quach, Z. Jin, M. Milani, F. Chiang. “CurrentClean: Interactive Change Exploration and Cleaning of Stale Data”.  CIKM 2019, pp. 2917-2920.
  • H. Ma, M. Alipour Langouri, Y. Wu, F. Chiang, J. Pi.  “Ontology-based Entity Matching in Attributed Graphs”.  VLDB 2019, pp. 1195 – 1207.
  • M. Milani, Z. Zheng, F. Chiang “CurrentClean: Spatio-temporal Cleaning of Stale Data.”  ICDE 2019, pp. 172-183.
  • Y. Huang, M. Milani, F. Chiang.  “PACAS: Privacy-Aware, Data Cleaning-as-a-Service”. IEEE International Conference on Big Data, pp. 1023-1030, 2018.
  • M. Langouri, F. Chiang.  “KeyMiner: Discovering Keys for Graphs”.  In VLDB workshop on Advances in Mining Large-Scale Time Dependent Graphs, 2018.
  • M. Langouri, Z. Zheng, F. Chiang, L. Golab, J. Szlichta.  “Contextual Data Cleaning”.  In ICDE workshop on Context in Analytics, 2018.
  • 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
  • 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 pp. 694-697, 2018 (demo track).
  • S. Baskaran, A. Keller, F. Chiang, J. Szlichta, L. Golab. “Efficient Discovery of Ontology Functional Dependencies”. In CIKM, pp. 1847-1856, 2017.