Yuchen Yan

I am Yuchen Yan and now I am working as an algorithm engineer in Data-Search, ByteDance.

In 2023, I received my Master's Degree in School of Intelligence Science and Technology, Peking University with Excellent Student Award (2022). During this time, I was advised by Prof. Kunqing Xie and co-advised by Prof. Guojie Song

In 2020, I received my Bachelor's Degree in Computer Science and Technology, Beijing Institue of Technology with the Graduate Excellence Award of Beijing (2020) and National Scholarships (2017-2019). I was fortunate to work in Graph Mining Lab with Ronghua Li as my advisor.

Email  /  CV  /  ORCID  /  Google Scholar  /  Github

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Research Interests

I have interests in research in my spare time, including the following topics:

Graph Neural Networks: Enhancing the representative ability of Graph Neural Networks for specific scenarios, including dynamic social networks, spatial-temporal data mining and other chemical, commercial applications such as graph based recommender system, molecular graph.

Natural Language Process: Application of Language Model on structure data analysis, including document parsing and classification.

News
  • News (2024.03): Our Paper "MOAT: Graph Prompting for 3D Molecular Graphs" is accepted by CIKM 2024. Congratulate to my co-authors
  • News (2024.03): Our Paper "TransGNN: Harnessing the Collaborative Power of Transformer and Graph Neural Network for Recommender Systems" is accepted by SIGIR 2024.
  • News (2024.03): Our Paper "GPT4Rec: Graph Prompt Tuning for Streaming Recommendation" is accepted by SIGIR 2024.
  • News (2024.02): Our Paper "Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective" is accepted by WWW 2024 (Oral Presentation).
  • News (2023.04): Our Paper "Continual Learning on Dynamic Graphs via Parameter Isolation" is accepted by SIGIR 2023 (Oral Presentation).
Selected Publications (* joint first authors)
Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective
Yuchen Yan, Peiyan Zhang, Zheng Fang, QingqingLong
International World Wide Web Conference (WWW), 2024
Oral Presentation
Paper
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation
Peiyan Zhang, Yuchen Yan*, Chaozhuo Li, Liying Kang, Xi Zhang, Feiran Huang, Senzhang Wang, Sunghun Kim
International ACM SIGIR Conference (SIGIR), 2024
Paper
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems
Peiyan Zhang*, Yuchen Yan*, Chaozhuo Li, Senzhang Wang, Xing Xie, Sunghun Kim
International ACM SIGIR Conference (SIGIR), 2024
Paper Code
Continual Learning on Dynamic Graphs via Parameter Isolation
Peiyan Zhang*, Yuchen Yan*, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim
International ACM SIGIR Conference (SIGIR), 2023
Oral Presentation
Paper / Code
Selected Honors and Awards
  • Awards of Student Excellence, 2022 (Peking University)
  • Graduate Excellence Award of Beijing (top 1%), 2020 (Ministry of Education, PRC)
  • National Scholarship, 2019 (Ministry of Education, PRC)
  • National Scholarship, 2018 (Ministry of Education, PRC)
  • National Scholarship, 2017 (Ministry of Education, PRC)
Work Experience
  • 2023.07-Now: Data-Search, ByteDance. (Regular)
  • 2022.07-2022.10: Bing Ads, Microsoft STCA. (Intern)
  • 2022.03-2022.07: Douyin & Tiktok Data Center, Data Department of ByteDance. (Intern)

Thanks Dr. Jon Barron for sharing the source code of his personal page.