Update README.md

README.md

@@ -14,8 +14,9 @@ pinned: false
 Welcome to the website of the <u>**L**</u>earning and <u>**IN**</u>ference <u>**S**</u>ystems (LINs) Lab at Westlake University!
 
 Our research interests lie in the intersection of optimization and generalization for deep learning:
-
 - leveraging theoretical/empirical understanding (e.g., loss landscape, and training dynamics)
 - to design efficient & robust methods (both learning and inference)
 - for deep learning (centralized) and collaborative deep learning (distributed and/or decentralized),
-- under imperfect environments (e.g., noisy, heterogeneous, and hardware-constrained).
+- under imperfect environments (e.g., noisy, heterogeneous, and hardware-constrained).
+
+Check our [lab page](https://lins-lab.github.io/) and [github](https://lins-lab/)!