Ke Tu

17 papers A* 4A 4B 2Journal 5Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A conf
Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data.
WSDM
Binbin Hu, Zhicheng An, Zhengwei Wu, Ke Tu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Yufei Feng, Jiawei Chen
2024 — conf
Adaptively Denoising Graph Neural Networks for Knowledge Distillation.
ECML/PKDD (8)
Yuxin Guo, Cheng Yang, Chuan Shi, Ke Tu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou
2024 A* conf
DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation.
KDD
Zhicheng An, Zhexu Gu, Li Yu, Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Lihong Gu, Jinjie Gu
2024 J jnl
Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data.
CoRR
Binbin Hu, Zhicheng An, Zhengwei Wu, Ke Tu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Yufei Feng, Jiawei Chen
2024 B conf
TS3IM: Unveiling Structural Similarity in Time Series through Image Similarity Assessment Insights.
SMC
Yuhan Liu, Ke Tu
2024 J jnl
TS3IM: Unveiling Structural Similarity in Time Series through Image Similarity Assessment Insights.
CoRR
Yuhan Liu, Ke Tu
2023 — conf
A Scalable Social Recommendation Framework with Decoupled Graph Neural Network.
DASFAA (4)
Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Peng Cui, Xiaolong Li, Jun Zhou
2023 A conf
Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation.
CIKM
Ke Tu, Wei Qu, Zhengwei Wu, Zhiqiang Zhang, Zhongyi Liu, Yiming Zhao, Le Wu, Jun Zhou, Guannan Zhang
2022 B conf
Light-Weight Branch-Shared Multi-View Convolutional Neural Networks Crowd Counting.
IJCNN
Yonghui Wang, Yang Li, Ke Tu
2021 J jnl
Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation.
CoRR
Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu
2021 A conf
Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation.
CIKM
Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu
2020 A conf
Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation.
CIKM
Qi Liu, Ruobing Xie, Lei Chen, Shukai Liu, Ke Tu, Peng Cui, Bo Zhang, Leyu Lin
2019 A* conf
AutoNE: Hyperparameter Optimization for Massive Network Embedding.
KDD
Ke Tu, Jianxin Ma, Peng Cui, Jian Pei, Wenwu Zhu
2018 A* conf
Deep Recursive Network Embedding with Regular Equivalence.
KDD
Ke Tu, Peng Cui, Xiao Wang, Philip S. Yu, Wenwu Zhu
2018 A* conf
Structural Deep Embedding for Hyper-Networks.
AAAI
Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu
2017 J jnl
Structural Deep Embedding for Hyper-Networks.
CoRR
Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu
2015 J jnl
A statistical learning based image denoising approach.
Frontiers Comput. Sci.
Ke Tu, Hongbo Li, Fuchun Sun