Yifan Chen

According to our database, Yifan Chen authored at least 22 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases.

Meng Wang, Tian Lin, Aidi Lin, Kai Yu, Yuanyuan Peng, Lianyu Wang, Cheng Chen, Ke Zou, Huiyu Liang, Man Chen, Xue Yao, Meiqin Zhang, Binwei Huang, Chaoxin Zheng, Peixin Zhang, Wei Chen, Yilong Luo, Yifan Chen, Honghe Xia, Tingkun Shi, Qi Zhang, Jinming Guo, Xiaolin Chen, Jingcheng Wang, Yih Chung Tham, Dianbo Liu, Wendy Wong, Sahil Thakur, Beau Fenner, Danqi Fang, Siying Liu, Qingyun Liu, Yuqiang Huang, Hongqiang Zeng, Yanda Meng, Yukun Zhou, Zehua Jiang, Minghui Qiu, Changqing Zhang, Xinjian Chen, Sophia Y. Wang, Cecilia S. Lee, Lucia Sobrin, Carol Y. Cheung, Chi Pui Pang, Pearse A. Keane, Ching-Yu Cheng, Haoyu Chen, Huazhu Fu

CoRR, 2024

2023

$\mathsf{PF\text{-}HIN}$:Pre-Training for Heterogeneous Information Networks.

Yang Fang, Xiang Zhao, Yifan Chen, Weidong Xiao, Maarten de Rijke

IEEE Trans. Knowl. Data Eng., August, 2023

2022

Bayesian feature interaction selection for factorization machines.

Yifan Chen, Yang Wang, Pengjie Ren, Meng Wang, Maarten de Rijke

Artif. Intell., 2022

Simplifying Knowledge-Aware Aggregation for Knowledge Graph Collaborative Filtering.

Honghai Zhang, Yifan Chen, Xinyi Li, Xiang Zhao

Proceedings of the Web Information Systems and Applications, 2022

2020

Block-Aware Item Similarity Models for Top-<i>N</i> Recommendation.

Yifan Chen, Yang Wang, Xiang Zhao, Jie Zou, Maarten de Rijke

ACM Trans. Inf. Syst., 2020

Local Variational Feature-Based Similarity Models for Recommending Top-<i>N</i> New Items.

Yi-Fan Chen, Yang Wang, Xiang Zhao, Hongzhi Yin, Ilya Markov, Maarten de Rijke

ACM Trans. Inf. Syst., 2020

Item Cold-Start Recommendation with Personalized Feature Selection.

Yifan Chen, Xiang Zhao, Jinyuan Liu, Bin Ge, Weiming Zhang

J. Comput. Sci. Technol., 2020

Towards Question-based Recommender Systems.

Jie Zou, Yifan Chen, Evangelos Kanoulas

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019

Personalised Reranking of Paper Recommendations Using Paper Content and User Behavior.

Xinyi Li, Yifan Chen, Benjamin Pettit, Maarten de Rijke

ACM Trans. Inf. Syst., 2019

Efficient Mining of Frequent Patterns on Uncertain Graphs.

Yifan Chen, Xiang Zhao, Xuemin Lin, Yang Wang, Deke Guo

IEEE Trans. Knowl. Data Eng., 2019

Bayesian Personalized Feature Interaction Selection for Factorization Machines.

Yifan Chen, Pengjie Ren, Yang Wang, Maarten de Rijke

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Learning to Select User-Specific Features for Top-N Recommendation of New Items.

Yifan Chen, Xiang Zhao, Jinyuan Liu, Bin Ge, Weiming Zhang

Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019

2018

A Collective Variational Autoencoder for Top-N Recommendation with Side Information.

Yifan Chen, Maarten de Rijke

Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems, 2018

2017

Fast top-k similarity join for SimRank.

Ruiqi Li, Xiang Zhao, Haichuan Shang, Yifan Chen, Weidong Xiao

Inf. Sci., 2017

Local Top-N Recommendation via Refined Item-User Bi-Clustering.

Yuheng Wang, Xiang Zhao, Yifan Chen, Wenjie Zhang, Weidong Xiao

Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

Top-N Recommendation with High-Dimensional Side Information via Locality Preserving Projection.

Yifan Chen, Xiang Zhao, Maarten de Rijke

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

2016

Taxi-taking recommendation using real-time trajectories: an online query based approach.

Yifan Chen, Xiang Zhao, Jiuyang Tang, Weiming Zhang, Haichuan Shang

Comput. Syst. Sci. Eng., 2016

Content-Based Top-N Recommendation using Heterogeneous Relations.

Yifan Chen, Xiang Zhao, Junjiao Gan, Junkai Ren, Yang Fang

CoRR, 2016

Frequent Subgraph Mining Based on Pregel.

Xiang Zhao, Yifan Chen, Chuan Xiao, Yoshiharu Ishikawa, Jiuyang Tang

Comput. J., 2016

Content-Based Top-N Recommendation Using Heterogeneous Relations.

Yifan Chen, Xiang Zhao, Junjiao Gan, Junkai Ren, Yanli Hu

Proceedings of the Databases Theory and Applications, 2016

2015

Towards Frequent Subgraph Mining on Single Large Uncertain Graphs.

Yifan Chen, Xiang Zhao, Xuemin Lin, Yang Wang

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014

Practising Scalable Graph Similarity Joins in MapReduce.

Yifan Chen, Xiang Zhao, Bin Ge, Chuan Xiao, Chi-Hung Chi

Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014