Yuanfu Lu Application Researcher WeChat, Tencent Inc. Email: luckyuanfu [at] foxmail.com ; luyfroot [at] gmail.com [Google Scholar] [DBLP] [Github] [Blog] Research Interests: Graph Representation Learning, Recommender System, Meta Learning, Data Mining

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Publications | Education and Experience | Awards | Talks and Services

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News!

• [Oct 2021] Got two papers accepted at WSDM 2022 in Meta-learning on Graphs.
• [Aug 2021] Got two papers accepted at CIKM 2021 in GNN Pre-training and Social Influence Maximization.
• [Apr 2021] Got one paper accepted at SIGIR 2021 in Social Recommendation.

Publications

2022

1. Few-shot Link Prediction in Dynamic Networks.
   Cheng Yang, Chunchen Wang, Yuanfu Lu, Xumeng Gong, Chuan Shi, Wei Wang, Xu Zhang.
   The Fifteenth International Conference on Web Search and Data Mining, 2022. (WSDM'22) . Full Research Paper.
   [Paper] [Code&data] [Slides] [BibTex]
2. Long Short-Term Temporal Meta-learning in Online Recommendation.
   Ruobing Xie, Yalong Wang, Rui Wang, Yuanfu Lu, Yuanhang Zou, Feng Xia, Leyu Lin.
   The Fifteenth International Conference on Web Search and Data Mining, 2022. (WSDM'22) . Full Research Paper.
   [Paper] [Code&data] [Slides] [BibTex]

   2021

3. Contrastive Pre-training of GNNs on Heterogeneous Graphs.
   Xunqiang Jiang, Yuanfu Lu, Yuan Fang, Chuan Shi.
   The 30th ACM International Conference on Information and Knowledge Management, 2021. (CIKM'21) . Full Research Paper.
   [Paper] [Code&data] [Slides] [BibTex]
4. Influence Maximization in Multi-Relational Social Networks.
   Wei Wang, Haili Yang, Yuanfu Lu, Yuanhang Zou, Xu Zhang, Shuting Guo, Leyu Lin.
   The 30th ACM International Conference on Information and Knowledge Management, 2021. (CIKM'21) . Full Applied Paper.
   [Paper] [Code&data] [Slides] [BibTex]
5. Package Recommendation with Intra- and Inter-Package Attention Networks.
   Chen Li, Yuanfu Lu, Wei Wang, Chuan Shi, Ruobing Xie, Haili Yang, Cheng Yang, Xu Zhang, Leyu Lin.
   The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021. (SIGIR'21) . Full Research Paper.
   [Paper] [Code&data] [Slides] [BibTex]
6. Learning to Pre-train Graph Neural Networks.
   Yuanfu Lu, Xunqiang Jiang, Yuan Fang, Chuan Shi.
   The 35th AAAI Conference on Artificial Intelligence, 2021. (AAAI'21) . Full Research Paper.
   [Paper] [Code&data] [Slides] [BibTex]
7. Sequence-aware Heterogeneous Graph Neural Collaborative Filtering.
   Chen Li, Linmei Hu, Chuan Shi, Guojie Song, Yuanfu Lu.
   SIAM International Conference on Data Mining, 2021. (SDM'21) . Full Research Paper.
   [Paper] [Code&data] [Slides] [BibTex]

   2020

8. Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation.
   Yuanfu Lu, Yuan Fang, Chuan Shi.
   The 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020. (KDD'20) . Full Research Paper.
   [Paper] [Code&data] [Slides] [BibTex]
9. Social Influence Attentive Neural Network for Friend-Enhanced Recommendation.
   Yuanfu Lu, Ruobing Xie, Chuan Shi, Yuan Fang, Wei Wang, Xu Zhang, Leyu Lin.
   The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020. (ECML-PKDD'20) . Full Applied Data Science Paper.
   [Paper] [Code&data] [Slides] [BibTex]
10. Dynamic Heterogeneous Information Network Embedding with Meta-path based Proximity.
    Xiao Wang*, Yuanfu Lu*, Chuan Shi, Ruijia Wang, Peng Cui, Shuai Mao.
    IEEE Transactions on Knowledge and Data Engineering, 2020. (TKDE'20) .
    [Paper] [Code&data] [Slides] [BibTex]
11. RHINE: Relation Structure-Aware Heterogeneous Information Network Embedding.
    Chuan Shi, Yuanfu Lu, Linmei Hu, Zhiyuan Liu, Huadong Ma.
    IEEE Transactions on Knowledge and Data Engineering, 2020. (TKDE'20) .
    [Paper] [Code&data] [Slides] [BibTex]

    2019

12. Temporal Network Embedding with Micro-and Macro-dynamics.
    Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye.
    The 28th ACM International Conference on Information and Knowledge Management, 2019. (CIKM'19) . Full Research Paper.
    [Paper] [Code&data] [Slides] [BibTex]
13. Relation Structure-aware Heterogeneous Information Network Embedding.
    Yuanfu Lu, Chuan Shi, Linmei Hu, Zhiyuan Liu.
    The 33th AAAI Conference on Artificial Intelligence, 2019. (AAAI'19) . Full Research Paper.
    [Paper] [Code&data] [Slides] [BibTex]

Thesis

1. Representation Learning on Dynamic Heterogeneous Information Network. M.S. Thesis. [PDF]

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Education and Experience

• Jul. 2020 - present. Application Researcher, WeChat, Tencent Inc., Beijing.
• Nov. 2019 - Apr. 2020. Visiting Student, School of Information Systems, Singapore Management University, Singapore.
  Advisor: Prof. Yuan Fang
• Sep. 2017 - Jul. 2020. M.S., School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China.
  Advisor: Prof. Chuan Shi
• Sep. 2013 - Jul. 2017. B.S., School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China.
• Sep. 2010 - Jul. 2013. Ganyu high school, Lianyungang, Jiangsu, China.

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Awards

• Jul. 2020. The Second Scholarship, Tencent Rhino-Bird Elite Training Program
• Jun. 2020. Beijing Excellent Graduate.
• Jun. 2020. Excellent Graduate, Beijing University of Posts and Telecommunications.
• Jun. 2020. Nomination for Top Ten Pioneers, Beijing University of Posts and Telecommunications.
• Oct. 2019. National Scholarship.
• Apr. 2019. Tencent Rhino-Bird Elite Training Program.
• Nov. 2018. Student Scholarship, AAAI-19.

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Talks and Services

Talks

• Representation Learning on Dynamic Heterogeneous Information Network. DMGroup, BUPT, 2020. [Slides]
• Network Embedding: Problem, Methodology and Application. WeChat, Tencent Inc., 2019. [Slides]

Services

• IEEE TKDE Reviewer
• AAAI-21 Reviewer
• AAAI-19 Student Volunteer

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