Counterfactual explanations for machine learning models on heterogeneous data

Abstract

Miao, for her professional and insightful guidance throughout my four-year research. She taught me to explore a new research field, write scientific papers, and most importantly, become an independent researcher. I would also like to express my sincerest appreciation to Professor Ke Wang and Professor Cheng Long. Their patience, motivation, enthusiasm, and knowledge have supported me through all stages of my Ph.D. Without their help, I would not have been able to complete my Ph.D. I would also like to thank my Ph.D. committee members for their thoughtful comments and constructive suggestions.Second, I would like to extend my gratitude to my fellow labmates at NTU: Hangwei Qian, Qinxu Ding, and Yong Liu for discussing and revising my papers during many sleepless nights before the deadlines. I am also grateful to have had lovely badminton and basketball buddies: