Feng Yu

According to our database, Feng Yu authored at least 17 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining.

Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu

ACM Trans. Intell. Syst. Technol., October, 2023

2021

Disentangled Item Representation for Recommender Systems.

Zeyu Cui, Feng Yu, Shu Wu, Qiang Liu, Liang Wang

ACM Trans. Intell. Syst. Technol., 2021

Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction.

Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang

CoRR, 2021

Graph Contrastive Learning with Adaptive Augmentation.

Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction.

Yichen Xu, Yanqiao Zhu, Feng Yu, Qiang Liu, Shu Wu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Deep Active Graph Representation Learning.

Yanqiao Zhu, Weizhi Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang

CoRR, 2020

CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning.

Yanqiao Zhu, Yichen Xu, Feng Yu, Shu Wu, Liang Wang

CoRR, 2020

Deep Graph Contrastive Representation Learning.

Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang

CoRR, 2020

TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation.

Feng Yu, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan

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

TFNet: Multi-Semantic Feature Interaction for CTR Prediction.

Shu Wu, Feng Yu, Xueli Yu, Qiang Liu, Liang Wang, Tieniu Tan, Jie Shao, Fan Huang

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

Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions.

Feng Yu, Zhaocheng Liu, Qiang Liu, Haoli Zhang, Shu Wu, Liang Wang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Attention-based convolutional approach for misinformation identification from massive and noisy microblog posts.

Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan

Comput. Secur., 2019

2018

Mining Significant Microblogs for Misinformation Identification: An Attention-Based Approach.

Qiang Liu, Feng Yu, Shu Wu, Liang Wang

ACM Trans. Intell. Syst. Technol., 2018

2017

A Convolutional Approach for Misinformation Identification.

Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

ICE: Information Credibility Evaluation on Social Media via Representation Learning.

Qiang Liu, Shu Wu, Feng Yu, Liang Wang, Tieniu Tan

CoRR, 2016

A Dynamic Recurrent Model for Next Basket Recommendation.

Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

2015

A Convolutional Click Prediction Model.

Qiang Liu, Feng Yu, Shu Wu, Liang Wang

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015