update profile

index.html

@@ -71,7 +71,7 @@ <h1 style="margin-top: 0em">Home</h1><br>
     <li><p>To potential PhD students. Feel free to contact me if you plan to do research on machine learning for your PhD's thesis. The university provides various scholarships for talented PhD applicants, more detailed information about PhD application can be found in the <a href="https://study.unimelb.edu.au/find/courses/graduate/doctor-of-philosophy-science/how-to-apply/">How-to-Apply</a> page. </li>
     <li><p>To UoM Master students. Please contact me if you plan to do research on machine learning for your Master's thesis. I supervise students from data science, statistics, and computer science. I prefer to mentor students who are genuinely committed to pursuing a research career.
     <!-- <li><p>To UoM undergraduate students. I typically supervise one student on the <a href="https://handbook.unimelb.edu.au/subjects/scie30001">Science Research Project (SCIE30001)</a> each year. You should have good GPA (math and computing courses) and Python coding experience.</p></li> -->
-    <li><p>To UoM undergraduate students. Due to my current heavy supervisory commitments, I am unable to take on undergraduate students at this time. </p></li>
+    <li><p>To undergraduate students. Due to my current heavy supervisory commitments, I am unable to take on undergraduate students at this time. </p></li>
     <li><p>To visiting scholar/students. Please drop me an email if your research area overlaps with mine.</p></li>
     </ul>
     <div>
@@ -81,7 +81,7 @@ <h2><hr><a name="research"></a>Research Interests</h2>
 
     </p>
     <ul>
-    <li><p>Causal Discovery, Causal Fairness, Causal Reinforcement Learning,  Causal Federated Learning</p></li>
+    <li><p>Causal Discovery & Inference, Causal Fairness, Causal Reinforcement Learning,  Federated Causal Learning</p></li>
     <li><p>Deep Generative Model, Multi-Modal Learning, Transfer Learning, Weakly-Supervised Learning </p></li>
     <li><p>Applications in Computer Vision, Biomedical Science, Healthcare, Finance, etc.</p></li>
     </ul>