Hi! I’m Runze (Randulf) Zhao (赵润泽), a first-year Computer Science PhD student at Indiana University Bloomington (IUB) with fellowship, where I’m fortunate to work under the supervision of Prof. Dongruo Zhou. I completed my Bachelor’s degree in Financial Engineering at the Chinese University of Hong Kong, Shenzhen (CUHK-SZ), under the mentorship of Prof. Wenye Li.

Research Interests

I am deeply intrigued by the nexus of machine learning algorithms. My research focus includes but is not limited to:

• Reinforcement Learning
• Spectral Clustering

Academic Journey

Education

• The Chinese University of Hong Kong, Shenzhen
  • Location: Shenzhen, Guangdong, China
  • Degree: Bachelor’s in Financial Engineering
  • Study Period: Sep. 2020 - Jul. 2024
• Indiana University Bloomington
  • Location: Bloomington, Indiana, US
  • Degree: PhD in Computer Science
  • Study Period: Aug. 2024 - Jul. 2029 (expected)

Publications

1. Fangchen Yu, Runze Zhao, Zhan Shi, Yiwen Lu, Jicong Fan, Yicheng Zeng, Jianfeng Mao, Wenye Li. Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning. (Accepted by NeurIPS 2023) [code][pdf][ppt][Poster]
   • My contribution:
     • Formulated an intrinsic similarity matrix by extending the self-expressive learning (SEL) model.
     • Incorporated the $\ell_p$ norm $(0<p<1)$ to further boost the SEL framework.
     • Directed the formulation and coding of the suggested algorithm through optimization techniques such as ADMM.