Ke Tu

According to our database, Ke Tu authored at least 10 papers between 2015 and 2023.

Collaborative distances:

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

2023

A Scalable Social Recommendation Framework with Decoupled Graph Neural Network.

Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Peng Cui, Xiaolong Li, Jun Zhou

Proceedings of the Database Systems for Advanced Applications, 2023

Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation.

Ke Tu, Wei Qu, Zhengwei Wu, Zhiqiang Zhang, Zhongyi Liu, Yiming Zhao, Le Wu, Jun Zhou, Guannan Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Light-Weight Branch-Shared Multi-View Convolutional Neural Networks Crowd Counting.

Yonghui Wang, Yang Li, Ke Tu

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation.

Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu

CoRR, 2021

Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation.

Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu

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

2020

Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation.

Qi Liu, Ruobing Xie, Lei Chen, Shukai Liu, Ke Tu, Peng Cui, Bo Zhang, Leyu Lin

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

2019

AutoNE: Hyperparameter Optimization for Massive Network Embedding.

Ke Tu, Jianxin Ma, Peng Cui, Jian Pei, Wenwu Zhu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Deep Recursive Network Embedding with Regular Equivalence.

Ke Tu, Peng Cui, Xiao Wang, Philip S. Yu, Wenwu Zhu

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Structural Deep Embedding for Hyper-Networks.

Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2015

A statistical learning based image denoising approach.

Ke Tu, Hongbo Li, Fuchun Sun

Frontiers Comput. Sci., 2015