A statistical learning based image denoising approach. - Ke Tu; Hongbo Li 001; Fuchun Sun 001 (Frontiers Comput. Sci., 2015)

Structural Deep Embedding for Hyper-Networks. - Ke Tu; Peng Cui 001; Xiao Wang 017; Fei Wang 001; Wenwu Zhu 001 (AAAI, 2018)

Deep Recursive Network Embedding with Regular Equivalence. - Ke Tu; Peng Cui 001; Xiao Wang 017; Philip S. Yu; Wenwu Zhu 001 (KDD, 2018)

AutoNE: Hyperparameter Optimization for Massive Network Embedding. - Ke Tu; Jianxin Ma; Peng Cui 001; Jian Pei 001; Wenwu Zhu 001 (KDD, 2019)

Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation. - Qi Liu 050; Ruobing Xie; Lei Chen; Shukai Liu; Ke Tu; Peng Cui 001; Bo Zhang 056; Leyu Lin (CIKM, 2020)

Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation. - Ke Tu; Peng Cui 001; Daixin Wang; Zhiqiang Zhang 012; Jun Zhou 011; Yuan Qi 001; Wenwu Zhu 001 (CIKM, 2021)

Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation. - Ke Tu; Peng Cui 001; Daixin Wang; Zhiqiang Zhang 012; Jun Zhou 011; Yuan Qi 001; Wenwu Zhu 001 (CoRR, 2021)

Light-Weight Branch-Shared Multi-View Convolutional Neural Networks Crowd Counting. - Yonghui Wang; Yang Li; Ke Tu (IJCNN, 2022)

Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation. - Ke Tu; Wei Qu; Zhengwei Wu; Zhiqiang Zhang 012; Zhongyi Liu; Yiming Zhao; Le Wu; Jun Zhou 011; Guannan Zhang (CIKM, 2023)

A Scalable Social Recommendation Framework with Decoupled Graph Neural Network. - Ke Tu; Zhengwei Wu; Binbin Hu; Zhiqiang Zhang 012; Peng Cui 001; Xiaolong Li 005; Jun Zhou 011 (DASFAA (4), 2023)

DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation. - Zhicheng An; Zhexu Gu; Li Yu; Ke Tu; Zhengwei Wu; Binbin Hu; Zhiqiang Zhang 012; Lihong Gu; Jinjie Gu (KDD, 2024)

Adaptively Denoising Graph Neural Networks for Knowledge Distillation. - Yuxin Guo; Cheng Yang 002; Chuan Shi 001; Ke Tu; Zhengwei Wu; Zhiqiang Zhang 012; Jun Zhou 011 (ECML/PKDD (8), 2024)

TS3IM: Unveiling Structural Similarity in Time Series through Image Similarity Assessment Insights. - Yuhan Liu; Ke Tu (SMC, 2024)

Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data. - Binbin Hu; Zhicheng An; Zhengwei Wu; Ke Tu; Ziqi Liu; Zhiqiang Zhang 012; Jun Zhou 011; Yufei Feng; Jiawei Chen 007 (WSDM, 2025)