Shaobin Chen (陈少斌)

I am currently working at Kuaishou Technology, where I specialize in short video recommendation systems. I earned my M.S. in Computer Science and Technology in 2023 from East China Normal University advised by Liang He and Yuling Sun.

I received my B.S. in Mathematicas and Applied Mathematicas in 2019 from Anhui University of Technology where I was advised by Li Zhang.

Email  /  Twitter  /  Github

profile photo
Research

I am interested in natural language processing and representation learning. Recently, I have also developed an interest in ML systems. In my previous research, I focused on improving the quality of sentence embeddings by working with pre-training datasets. Now, I am shifting my focus towards research that facilitates the deployment of language model models (LLMs).

Publication
An Information Minimization Based Contrastive Learning for Unsupervised Sentence Embeddings Learning.
Shaobin Chen, Jie Zhou, Yuling Sun, Liang He
THE 29TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL LINGUISTICS (COLING), 2022. (Oral Presentation)
arxiv / code / slides

Industry Experience
Kuaishou Technology, Beijing.

Recommendation Algorithm Engineer | 07/2023 - current, Beijing, China

Conducting research on short video recommendation algorithms.
Internship
Shanghai Stcok Exchange, Shanghai.

Algorithm Engineer Intern | 08/2022 - 11/2022, Shanghai, China

Designing machine learning models for assisting the company's IPO auditing system.
Honors

  • National Scholarship for Graduate Students (<1%)
  • Outstanding graduate from East China Normal University


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