PeopleofSuperintelligence

Researcher

Chen Lin

Also known as 林琛

Chen Lin is a computer science researcher and professor at Xiamen University whose work spans recommender systems, e-commerce search, language-model pretraining, and AI for science. After earning a Bachelor of Science in computer technology at Fudan University in 2004 and a Doctor of Science in computer software and theory there in 2010, she joined Xiamen University's School of Information in January 2010. Her publications include non-compensatory psychological models for recommender systems at AAAI in 2019, a content collaborative graph neural network for e-commerce search at SIGKDD in 2023, and the Rho-1 selective language modeling framework at NeurIPS in 2024. She received the ICIC Best Paper Award in July 2024, a NeurIPS Best Paper Runner-Up honor in December 2024, and the IEEE Early Academic Award in March 2026, and as of October 2026 serves as a professor and doctoral supervisor in Xiamen University's School of Information.

Timeline

  1. 2000–2010

    Degrees at Fudan University

    From 2000 to 2004, she studies computer technology at Fudan University and earns a Bachelor of Science in 2004. She completes a Doctor of Science in computer software and theory at Fudan University in 2010.

  2. 2010

    Joining Xiamen University

    In January 2010, she joins the School of Information at Xiamen University.

  3. 2019

    Non-compensatory recommendation models

    At AAAI in 2019, she coauthors “Non-Compensatory Psychological Models for Recommender Systems,” which applies non-compensatory rules to rating and ranking models. Experiments on real-world data sets show improved recommendation performance for both rating and ranking models.

  4. 2023

    Content graph for e-commerce search

    In 2023, she coauthors “E-commerce Search via Content Collaborative Graph Neural Network,” a paper on e-commerce search in the ACM SIGKDD conference proceedings.

  5. 2024

    Rho-1 selective language modeling

    In 2024, she coauthors “Rho-1: Not All Tokens Are What You Need,” published in the NeurIPS 2024 proceedings as “Not All Tokens Are What You Need for Pretraining.” Using Selective Language Modeling, Rho-1 scores pretraining tokens with a reference model and trains the language model with a focused loss on higher-scoring tokens.

  6. July–December 2024

    NeurIPS Best Paper Runner-Up

    In July 2024, she receives the ICIC Best Paper Award. In December 2024, she receives the NeurIPS 2024 Best Paper Runner-Up honor and a Henan Province Science and Technology Progress First Prize.

  7. February–March 2026

    IEEE Early Academic Award

    In February 2026, she receives a Natural Science Third Prize from the Chinese Association of Automation. In March 2026, she receives the IEEE Early Academic Award.

  8. As of October 2026

    Professor at Xiamen University

    As of October 2026, she is a professor, doctoral supervisor, and master's supervisor in Xiamen University's School of Information, where her research focuses on AI for science.

Career

  1. Since 2010Xiamen UniversityProfessor and doctoral supervisor

Education

  1. 2010Fudan UniversityDoctor of Science
  2. 2004Fudan UniversityBachelor of Science

From the biography.

  1. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Chen Lin. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  2. Language models reach 33% of 2020s entrants, and company shares run from 8% in pattern recognition to 91% in AI infrastructureIncludes Chen Lin. We estimate how research topics in AI changed across seven entry decades (6,853 people from the 1960s to the 2020s) and how 60 major topics split between companies (8% to 91%) and universities (10% to 93%).
  3. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Xiamen University. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  4. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Xiamen University. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Chen Lin yet. Send us a free-licensed photo.

  1. 厦门大学平台管理系统 LIN Chen--Home--Home faculty.xmu.edu.cn. Checked 22 October 2026.
  2. Non-Compensatory Psychological Models for Recommender Systems | Proceedings of the AAAI Conference on Artificial Intelligence ojs.aaai.org. Checked 22 October 2026.
  3. 厦门大学平台管理系统 LIN Chen--Home--Paper Publications faculty.xmu.edu.cn. Checked 22 October 2026.
  4. [2404.07965] Rho-1: Not All Tokens Are What You Need arxiv.org. Checked 22 October 2026.
  5. Not All Tokens Are What You Need for Pretraining proceedings.neurips.cc. Checked 22 October 2026.
  6. 厦门大学平台管理系统 林琛--中文主页--首页 faculty.xmu.edu.cn. Checked 22 October 2026.