[20240614] Update Paper & CV

_pages/about.md

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 I am a research assistant at Shanghai Artificial Intelligence Laboratory, supervised by [Prof. Yu Cheng](https://scholar.google.com/citations?user=ORPxbV4AAAAJ). I also hold a research assistant position at Westlake University, working closely with [Prof. Stan Z. Li](https://scholar.google.com/citations?user=Y-nyLGIAAAAJ). Prior to this, I received my bachelor's degree in Computer Science & Mathematics and Applied Mathematics from University of Electronic Science and Technology of China, where I worked as a research intern under the supervision of [Prof. Wen Li](https://wenli-vision.github.io/).
 
 I am dedicated to uncovering the intrinsic properties of neural networks with theoretical guarantees, aiming to develop interpretable and effective AI systems. **My research interests primarily revolve around:**
-1. Representation capabilities of neural networks (e.g. interpretability, robustness, sparsity).
-2. Fundamental structural designs of neural networks (e.g. MoE, GNN).
-3. Applications of artificial intelligence for scientific research (e.g. physics, biology, psychology).
+1. Understanding the representation abilities (e.g. interpretability and robustness) and inherent statistical features (e.g. sparsity and scaling property) of neural networks.
+2. Investigating neural networks' fundamental architectures to enhance efficiency (e.g. Mixture of Experts) and mathematical completeness (e.g. Graph Neural Networks).
+3. Leveraging artificial intelligence to promote the scientific researches (e.g. AI for physics, biology, psychology).
 
 <!-- My focus is on the quality and broader impacts of my work, rather than the mere quantity of top-conference papers. -->