Publications

Conference/Journal Papers

• Modeling Interference for Individual Treatment Effect Estimation from Networked Observational Data
  Qiang Huang, Jing Ma, Jundong Li, Ruocheng Guo, Huiyan Sun, Yi Chang.
  ACM Transactions on Knowledge Discovery from Data (TKDD), 2023.
  
• SemiITE: Semi-supervised Individual Treatment Effect Estimation via Disagreement-Based Co-training
  Qiang Huang, Jing Ma, Jundong Li, Huiyan Sun, Yi Chang.
  ECML-PKDD, 2022.
  
• GraphLime: Local Interpretable Model Explanations for Graph Neural Networks
  Qiang Huang, Makoto Yamada, Yuan Tian, Dinesh Singh, Yi Chang.
  IEEE Transactions on Knowledge and Data Engineering (TKDE),2022
  
• Unsupervised Nonlinear Feature Selection from High-dimensional Signed Networks
  Qiang Huang, Tingyu Xia, Huiyan Sun, Makoto Yamada, Yi Chang.
  Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020.
  
• A Causality-inspired Feature Selection Method for Cancer Imbalanced High-dimensional Data
  Yijun Liu, Qiang Huang, Huiyan Sun, Yi Chang.
  bioRxiv, 2021.
  
• Multi-Classification of Cancer Samples Based on Co-Expression Analyses
  Hongyang Jiang, Qiang Huang, Liang Chen, Zhi Li, Ying Xu, Huiyan Sun, Yi Chang.
  BIBM, 2019.
  
• Extracting Post-Treatment Covariates for Heterogeneous Treatment Effect Estimation
  Qiang Huang, Defu Cao, Yi Chang, Yan Liu.
  Under Review, 2024.