About Me

I am currently a 3rd year MS student at the University of Electronic Science and Technology of China (UESTC), majoring in Computer Science.

During 2019-2023, I conducted my undergraduate studies at the Glasgow College of the UESTC, specialising in Electronic Engineering. During this period, I have been awarded several first-class scholarships for outstanding students. In 2023, I started my MS degree in the Laboratory of Intelligent Collaborative Computing. During this period, I was awarded the National Scholarship and the First-Class Scholarship.

My research focuses on the session-based recommendation and generative recommendation. As the first author, I have published several high-quality papers in prestigious platform including TOIS (CCF-A, JCR Q1)，AAAI (CCF-A, Oral), IJCAI (CCF-A) and DSE (CCF-B, JCR Q1). Besides, as the primary student inventor, I have been granted three chinese invention patents. My research topics address core technical challenges in recommendation systems, specifically covering three key directions: user intent mining, generective recommendation, and long-tail recommendation.

From May to September 2025, I worked as a Recommendation Algorithm Intern at ByteDance - TikTok, where I deeply engaged in the optimization of core pipelines for recommendation systems. I led the fusion and enhancement of multi-path retrival and took charge of the iterative upgrading of the primary retrival.