Zeyu Tang (唐泽宇)
Ph.D. Candidate, Carnegie Mellon University (CMU)
National Institute of Justice (NIJ) Graduate Research Fellowship
Awardee
K&L Gates Presidential Fellow
in Ethics and Computational Technologies
About Me
I am a PhD student at Department of Philosophy, Carnegie Mellon University, fortunately co-advised by Prof. Kun Zhang and Prof. Peter Spirtes. I am also a member of the CMU-CLeaR Group.
Research Interests
I strive to advance trustworthy and responsible AI. In particular, I conduct research on algorithmic fairness to model and understand the social impact of computing technologies, and also causal learning and reasoning to further enhance the capacity of intelligent systems. As an ultimate goal, I would like to pursue the safe and principled development of machine intelligence with the help of causality, so that technologies can improve our lives in a responsible and effective way.
News
September 2024 | I am awarded National Institute of Justice (NIJ) Graduate Research Fellowship. Thank you NIJ! |
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June 2024 | Our paper “Detecting and Identifying Selection Structure in Sequential Data” is accepted to ICML 2024. We establish a set of identifiability results for selection structures in sequential data without any parametric assumptions or interventional experiments. |
January 2024 | Our paper “Procedural Fairness Through Decoupling Objectionable Data Generating Components” is accepted to ICLR 2024 (Spotlight). We reveal and address the often-overlooked issue of disguised procedural unfairness. Our proposal consists of the value instantiation rule and the appropriate reference point configurations. |