<svg id="sun" width="24" height="18" viewBox="0 0 24 24" fill="none" stroke="currentcolor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><circle cx="12" cy="12" r="5"/><line x1="12" y1="1" x2="12" y2="3"/><line x1="12" y1="21" x2="12" y2="23"/><line x1="4.22" y1="4.22" x2="5.64" y2="5.64"/><line x1="18.36" y1="18.36" x2="19.78" y2="19.78"/><line x1="1" y1="12" x2="3" y2="12"/><line x1="21" y1="12" x2="23" y2="12"/><line x1="4.22" y1="19.78" x2="5.64" y2="18.36"/><line x1="18.36" y1="5.64" x2="19.78" y2="4.22"/></svg></button></div></div><ul id=menu></ul></nav></header><main class=main><head><link rel=stylesheet href=/css/custom.css></head><div class=home-info><h1>AI Privacy & Safety Compliance from Pattern Matching to Reasoning</h1><p>We are members of KnowComp (Knowledge Computation) group at HKUST. We work on Knowledge, reasoning in natural language processing, Data mining and knowledge discovery, Privacy and safety aspects.</p></div><br><br><h2 class=papers>Papers</h2><br><ul style=padding-left:20px class=links><div class=publications><ol class=bibliography><li><div class=row><div class="d-flex flex-column col-sm-2 abbr" style=min-width:150px><div class=col><abbr class="badge rounded w-100 label">Arxiv</abbr></div></div><div class=col-sm-8><div class=title>Legal Rule Induction: Towards Generalizable Principle Discovery from Analogous Judicial Precedents</div><div class=author></div><div class=links><a href=https://arxiv.org/pdf/2505.14104 class="btn btn-sm z-depth-0" role=button rel="external nofollow noopener" target=_blank>PDF
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