Xiaohan Liang is a PhD candidate at The University of Hong Kong, specializing in procedural law, particularly in the areas of procedural justice and judicial fairness. She possesses a Master of Laws (LLM) degree from the University of Hong Kong and a Bachelor of Laws (LLB) from China University of Political Science and Law. Her research interests include the convergence of access to justice, law and technology, and empirical legal studies.
Her collaborative work includes a paper co-authored with Jingsong Zhu, titled “Peer Effects in Corporate Green Transition: An Empirical Study Based on MD&A Text Analysis,” published in Finance & Economics (CSSCI) in 2025. This study employs word vector techniques for textual analysis to investigate corporate green transition behaviors. In addition, she authored the sole-authored chapter “AI and Criminal Sentencing in China: Applications, Misgivings and Prospects?” which appears in the edited volume Digitalising Courts in Asia, published by Edinburgh University Press in 2025. Her co-authored paper with Professor Benjamin Chen, “Data Still Needs Theory: Collider Bias in Empirical Legal Research,” was published in the Hong Kong Law Journal (SSCI) in 2023, offering a theoretical reflection on empirical legal methodologies.