I am a fourth-year Ph.D. student from the School of Artificial Intelligence at Jilin University, I am very fortunate to be advised by Prof. Yi Chang. I am currently a visiting scholar at University of Southern California (USC), working with Prof. Yan Liu.

My research interests include causal inference, data mining, machine learning, and artificial intelligence, utilizing the causal mechanism to develop fair, robust machine learning algorithms to aid decision-making and applications in the real world.

Email: huangqiang18@mails.jlu.edu.cn

News

Mar. 2024: One paper accepted by IJCNN, 2024

Mar. 2023: One paper accepted by ACM TKDD, 2023

Dec. 2022: Being a visiting scholar at Melady Lab USC, 2022

Sep. 2022: One paper accepted by ECML-PKDD, 2022

Jun. 2022: One paper accepted by IEEE TKDE, 2022

Feb. 2020: One paper accepted by AAAI, 2020

Nov. 2019: One paper accepted by BIBM, 2019

Jul. 2019: Being an intern at RIKEN, JAPAN 2019

Selected Publications

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

Service

PC members, and reviewers for multiple journals and international conferences in machine learning and data science such as TKDD, TKDE, AAAI, IJCAI and WWW etc.