About Me

Hello, I'm Zichong Wang. I received my Ph.D. in Computer Science from Florida International University under the supervision of Dr. Wenbin Zhang, whose insight and mentorship have deeply shaped my path as a researcher.

The focus of my research is to identify and mitigate the disparities that occur when the interaction of algorithms, data employed in policy formulation, and human decisions inadvertently impact underrepresented communities. My goal is to ensure that these systems are both fair and accountable, providing benefit to all and harm to none.

Research Interests

My research interests span machine learning and graph mining, with a focus on trustworthy AI, including generalization, explanation, and fairness. I am also interested in causal machine learning, which provides deeper insights into model behavior and supports trustworthy AI development. Recently, I have been exploring large language models.

News

• 2026 Served as Program Committee for ICML, ICLR, AAAI, IJCAI, AISTATS, NeurIPS, ML4H and ECML-PKDD.
• Sep. 2026 One paper has been accepted by NeurIPS 2026!
• Sep. 2026 Our tutorial has been accepted by BigData 2026!
• Jul. 2026 One paper has been accepted by PLOS Digital Health!
• Apr. 2026 Four papers have been accepted by IJCAI 2026!