Yifan Chen

PhD in Computer Science

Science & Technology on Information Systems Engineering LaboratoryNational University of Defense Technology, Changsha, Hunan, ChinaEmail: yfchen at nudt dot edu dot cn

Biography

I have obtained the PhD degree at National University of Defense Technology (NUDT) on Dec. 31st, 2020. Previously, I have studied as a visiting PhD at Information and Language Processing Systems (ILPS), University of Amsterdam (UvA) (supervised by Prof. Maarten de Rijke). I have obtained a PhD degree from UvA on Oct. 8th, 2019 (dissertation).

Research interest

My primal research interest is recommender systems:

1 top-n recommendation with high-dimensional & heterogeneous information;2 explainable recommendation with structured & unstructured data.

I am also interested in graph mining & analysis.

Professional service

  • IJCAI 2020 (SPC)

  • CIKM 2020 (PC)

  • ICPR 2020 (TC)

  • TOIS (Information Director, 2018)

News

  • I have recently joined Information Retrieval Group @ Tsinghua University (THUIR) as a visiting PhD (supervised by Prof. Min Zhang).

  • I have defended my Thesis in UvA on Oct. 8th, 2019.

  • I have one full paper accepted by ACM SIGIR 2019. I will attend the conference and present the paper.

Publications

  • Block-aware Item Similarity Models for Top-N Recommendation

Yifan Chen, Yang Wang, Xiang Zhao, Jie Zou and Maarten de Rijke. ACM TOIS, 2020 [paper|slides|code]

  • Towards Question-based Recommender Systems

Jie Zou, Yifan Chen, Evangelos Kanoulas. ACM SIGIR, 2020

  • Bayesian personalized feature interaction selection for factorization machines

Yifan Chen, Pengjie Ren, Yang Wang and Maarten de Rijke. ACM SIGIR, 2019 [paper|slides|code]

  • Efficient mining of frequent patterns on uncertain graphs

Yifan Chen, Xiang Zhao, Xuemin Lin, Yang Wang and Deke Guo. IEEE TKDE, 2019 [paper]

  • Local variational feature-based similarity models for recommending top-n new items

Yifan Chen, Yang Wang, Xiang Zhao, Hongzhi Yin, Ilya Markov and Maarten de Rijke. ACM TOIS [paper|code]

  • Personalised reranking of paper recommendations using paper content and user behavior

Xinyi Li, Yifan Chen, Benjamin Pettitand, Maarten de Rijke. ACM TOIS, 2019 [paper]

  • A collective variational auto-encoder for top-n recommendation with side information

Yifan Chen and Maarten de Rijke. ACM RecSys@DLRS, 2018 [paper|slides|code]

  • Top-n recommendation with high-dimensional side information via locality preserving projection

Yifan Chen, Xiang Zhao and Maarten de Rijke. ACM SIGIR short, 2019 [paper|code]

  • Learning to select user-specific features for top-n recommendation of new items

Yifan Chen, Xiang Zhao, Jinyuan Liu, Bin Ge and Weiming Zhang. IEEE ICDE@RSBD, 2019 (best paper) [paper]

  • Item cold-start recommendation with personalized feature selection

Yifan Chen, Xiang Zhao, Jinyuan Liu, Bin Ge and Weiming Zhang. JCST (to appear) [paper]

  • Content-based top-n recommendation using heterogeneous relations

Yifan Chen, Xiang Zhao, Junjiao Gan, Junkai Ren and Yanli Hu. ADC, 2016. (Best Student Paper Runner-up) [paper]

  • Towards Frequent Subgraph Mining on Single Large Uncertain Graphs

Yifan Chen, Xiang Zhao, Xuemin Lin, Yang Wang. IEEE ICDM, 2015 [paper]

  • Frequent subgraph mining based on pregel

Xiang Zhao, Yifan Chen, Chuan Xiao, Yoshiharu Ishikawa, Jiuyang Tang. Computer J., 2016 [paper]