@article{chen2023attributed,title={Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs},author={Chen, Zhaoliang and Wu, Zhihao and Zhong, Luying and Plant, Claudia and Wang, Shiping and Guo, Wenzhong},journal={Neural Networks},volume={174},pages={106225},year={2024},}
Towards Multi-view Consistent Graph Diffusion
Jielong Lu, Zhihao Wu, Zhaoliang Chen, Zhiling Cai, and Shiping Wang
@inproceedings{lu2024towards,title={Towards Multi-view Consistent Graph Diffusion},author={Lu, Jielong and Wu, Zhihao and Chen, Zhaoliang and Cai, Zhiling and Wang, Shiping},booktitle={ACM Multimedia},year={2024},url={https://openreview.net/forum?id=2AnSGzLiGs},}
Generative Essential Graph Convolutional Network for Multi-view Semi-supervised Classification
Jielong Lu, Zhihao Wu, Luying Zhong, Zhaoliang Chen, Hong Zhao, and Shiping Wang
@article{generative2024Lu,author={Lu, Jielong and Wu, Zhihao and Zhong, Luying and Chen, Zhaoliang and Zhao, Hong and Wang, Shiping},journal={IEEE Transactions on Multimedia},title={Generative Essential Graph Convolutional Network for Multi-view Semi-supervised Classification},year={2024},pages={1-12},}
Graph Convolutional Network with Elastic Topology
Zhihao Wu, Zhaoliang Chen, Shide Du, Sujia Huang, and Shiping Wang
@article{elastic2024Wu,author={Wu, Zhihao and Chen, Zhaoliang and Du, Shide and Huang, Sujia and Wang, Shiping},journal={Pattern Recognition},title={Graph Convolutional Network with Elastic Topology},year={2024},}
Geometric Localized Graph Convolutional Network for Multi-view Semi-supervised Classification
@article{huang2024geometric,title={Geometric Localized Graph Convolutional Network for Multi-view Semi-supervised Classification},author={Huang, Aiping and Lu, Jielong and Wu, Zhihao and Chen, Zhaoliang and Chen, Yuhong and Wang, Shiping and Zhang, Hehong},journal={Information Sciences},pages={120769},year={2024},}
Adaptive Multi-channel Contrastive Graph Convolutional Network with Graph and Feature Fusion
Luying Zhong, Jielong Lu, Zhaoliang Chen, Na Song, and Shiping Wang
@article{zhong2023adaptive,title={Adaptive Multi-channel Contrastive Graph Convolutional Network with Graph and Feature Fusion},author={Zhong, Luying and Lu, Jielong and Chen, Zhaoliang and Song, Na and Wang, Shiping},journal={Information Sciences},pages={120012},volume={658},doi={10.1016/j.ins.2023.120012},year={2024},}
2023
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing
@article{chen2023agnn,author={Chen, Zhaoliang and Wu, Zhihao and Lin, Zhenghong and Wang, Shiping and Plant, Claudia and Guo, Wenzhong},journal={IEEE Transactions on Neural Networks and Learning Systems},title={AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing},year={2023},pages={1-13},doi={10.1109/TNNLS.2023.3271623},}
Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks
Zhaoliang Chen, Zhihao Wu, Shiping Wang, and Wenzhong Guo
In Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence 2023
@inproceedings{ChenDLRGAE23,author={Chen, Zhaoliang and Wu, Zhihao and Wang, Shiping and Guo, Wenzhong},booktitle={Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence},volume={37},number={4},pages={4191--4198},year={2023},doi={10.1609/aaai.v37i4.25536},}
Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning
Zhaoliang Chen, Lele Fu, Jie Yao, Wenzhong Guo, Claudia Plant, and Shiping Wang
@article{chen2023learnable,title={Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning},author={Chen, Zhaoliang and Fu, Lele and Yao, Jie and Guo, Wenzhong and Plant, Claudia and Wang, Shiping},journal={Information Fusion},year={2023},pages={109-119},volume={95},}
Multi-view Graph Convolutional Networks with Differentiable Node Selection
@article{chen2022multi,title={Multi-view Graph Convolutional Networks with Differentiable Node Selection},author={Chen, Zhaoliang and Fu, Lele and Xiao, Shunxin and Wang, Shiping and Plant, Claudia and Guo, Wenzhong},journal={ACM Transactions on Knowledge Discovery from Data},year={2023},}
Efficient and Differentiable Low-rank Matrix Completion with Back Propagation
Zhaoliang Chen, Jie Yao, Guobao Xiao, and Shiping Wang
@article{chen2023efficient,title={Efficient and Differentiable Low-rank Matrix Completion with Back Propagation},author={Chen, Zhaoliang and Yao, Jie and Xiao, Guobao and Wang, Shiping},journal={IEEE Transactions on Multimedia},year={2023},volume={25},pages={228-242},doi={10.1109/TMM.2021.3124087},}
Learnable Graph Convolutional Network With Semisupervised Graph Information Bottleneck
Luying Zhong, Zhaoliang Chen, Zhihao Wu, Shide Du, Zheyi Chen, and Shiping Wang
IEEE Transactions on Neural Networks and Learning Systems 2023
@article{zhong2023Learnable,author={Zhong, Luying and Chen, Zhaoliang and Wu, Zhihao and Du, Shide and Chen, Zheyi and Wang, Shiping},journal={IEEE Transactions on Neural Networks and Learning Systems},title={Learnable Graph Convolutional Network With Semisupervised Graph Information Bottleneck},year={2023},pages={1-14},doi={10.1109/TNNLS.2023.3322739},}
Joint learning of feature and topology for multi-view graph convolutional network
Yuhong Chen, Zhihao Wu, Zhaoliang Chen, Mianxiong Dong, and Shiping Wang
@article{CHEN2023,author={Chen, Yuhong and Wu, Zhihao and Chen, Zhaoliang and Dong, Mianxiong and Wang, Shiping},doi={10.1016/j.neunet.2023.09.006},journal={Neural Networks},title={Joint learning of feature and topology for multi-view graph convolutional network},year={2023},}
Interpretable Graph Convolutional Network for Multi-View Semi-Supervised Learning
Zhihao Wu, Xincan Lin, Zhenghong Lin, Zhaoliang Chen, Yang Bai, and Shiping Wang
@article{Interpretable2023Wu,author={Wu, Zhihao and Lin, Xincan and Lin, Zhenghong and Chen, Zhaoliang and Bai, Yang and Wang, Shiping},journal={IEEE Transactions on Multimedia},title={Interpretable Graph Convolutional Network for Multi-View Semi-Supervised Learning},year={2023},pages={1-14},doi={10.1109/TMM.2023.3260649},}
Contrastive Graph Convolutional Networks with Generative Adjacency Matrix
Luying Zhong, Jinbin Yang, Zhaoliang Chen, and Shiping Wang
@article{Contrastive2023zhong,author={Zhong, Luying and Yang, Jinbin and Chen, Zhaoliang and Wang, Shiping},journal={IEEE Transactions on Signal Processing},title={Contrastive Graph Convolutional Networks with Generative Adjacency Matrix},year={2023},volume={71},pages={772-785},doi={10.1109/TSP.2023.3254888},}
Dual Fusion-Propagation Graph Neural Network for Multi-View Clustering
Shunxin Xiao, Shide Du, Zhaoliang Chen, Yunhe Zhang, and Shiping Wang
@article{DFPGNN23XIAO,author={Xiao, Shunxin and Du, Shide and Chen, Zhaoliang and Zhang, Yunhe and Wang, Shiping},journal={IEEE Transactions on Multimedia},title={Dual Fusion-Propagation Graph Neural Network for Multi-View Clustering},year={2023},pages={1-13},doi={10.1109/TMM.2023.3248173},}
2022
Learning Deep Sparse Regularizers With Applications to Multi-View Clustering and Semi-Supervised Classification
Shiping Wang, Zhaoliang Chen, Shide Du, and Zhouchen Lin
IEEE Transactions on Pattern Analysis and Machine Intelligence 2022
@article{DBLP:journals/pami/WangCDL22,author={Wang, Shiping and Chen, Zhaoliang and Du, Shide and Lin, Zhouchen},title={Learning Deep Sparse Regularizers With Applications to Multi-View
Clustering and Semi-Supervised Classification},journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},volume={44},number={9},pages={5042--5055},year={2022},doi={10.1109/TPAMI.2021.3082632},}
A review on matrix completion for recommender systems
@article{DBLP:journals/kais/ChenW22,author={Chen, Zhaoliang and Wang, Shiping},title={A review on matrix completion for recommender systems},journal={Knowledge and Information Systems},volume={64},number={1},pages={1--34},year={2022},doi={10.1007/s10115-021-01629-6},}
Unified Low-Rank Tensor Learning and Spectral Embedding for Multi-View Subspace Clustering
Lele Fu, Zhaoliang Chen, Yongyong Chen, and Shiping Wang
@article{fu2022unified,title={Unified Low-Rank Tensor Learning and Spectral Embedding for Multi-View Subspace Clustering},author={Fu, Lele and Chen, Zhaoliang and Chen, Yongyong and Wang, Shiping},journal={IEEE Transactions on Multimedia},year={2022},publisher={IEEE},doi={10.1109/TMM.2022.3185886},}
Diversity embedding deep matrix factorization for multi-view clustering
Zexi Chen, Pengfei Lin, Zhaoliang Chen, Dongyi Ye, and Shiping Wang
@article{DBLP:journals/isci/ChenLCYW22,author={Chen, Zexi and Lin, Pengfei and Chen, Zhaoliang and Ye, Dongyi and Wang, Shiping},title={Diversity embedding deep matrix factorization for multi-view clustering},journal={Information Sciences},volume={610},pages={114--125},year={2022},doi={10.1016/j.ins.2022.07.177},}
2021
Kernel meets recommender systems: A multi-kernel interpolation for matrix completion
@article{DBLP:journals/eswa/ChenZW21,author={Chen, Zhaoliang and Zhao, Wei and Wang, Shiping},title={Kernel meets recommender systems: {A} multi-kernel interpolation for
matrix completion},journal={Expert Systems with Applications},volume={168},pages={114436},year={2021},doi={10.1016/j.eswa.2020.114436},}
Multi-View Learning Via Low-Rank Tensor Optimization
Lele Fu, Zhaoliang Chen, Sujia Huang, Sheng Huang, and Shiping Wang
In 2021 IEEE International Conference on Multimedia and Expo 2021
@inproceedings{DBLP:conf/icmcs/FuCHHW21,author={Fu, Lele and Chen, Zhaoliang and Huang, Sujia and Huang, Sheng and Wang, Shiping},title={Multi-View Learning Via Low-Rank Tensor Optimization},booktitle={2021 {IEEE} International Conference on Multimedia and Expo},pages={1--6},year={2021},doi={10.1109/ICME51207.2021.9428291},}
Deep random walk of unitary invariance for large-scale data representation
Shiping Wang, Zhaoliang Chen, William Zhu, and Fei-Yue Wang
@article{DBLP:journals/isci/WangCZW21,author={Wang, Shiping and Chen, Zhaoliang and Zhu, William and Wang, Fei{-}Yue},title={Deep random walk of unitary invariance for large-scale data representation},journal={Information Sciences},volume={554},pages={1--14},year={2021},doi={10.1016/j.ins.2020.11.039},}
Differentiable Bi-Sparse Multi-View Co-Clustering
Shide Du, Zhanghui Liu, Zhaoliang Chen, Wenyuan Yang, and Shiping Wang
@article{DBLP:journals/tsp/DuLCYW21,author={Du, Shide and Liu, Zhanghui and Chen, Zhaoliang and Yang, Wenyuan and Wang, Shiping},title={Differentiable Bi-Sparse Multi-View Co-Clustering},journal={{IEEE} Transactions on Signal Processing},volume={69},pages={4623--4636},year={2021},doi={10.1109/TSP.2021.3101979},}
A Unified Modular Framework with Deep Graph Convolutional Networks forMulti-label Image Recognition
Qifan Lin, Zhaoliang Chen, Shiping Wang, and Wenzhong Guo
@inproceedings{DBLP:conf/prcv/LinCWG21,author={Lin, Qifan and Chen, Zhaoliang and Wang, Shiping and Guo, Wenzhong},title={A Unified Modular Framework with Deep Graph Convolutional Networks
forMulti-label Image Recognition},booktitle={Pattern Recognition and Computer Vision},volume={13020},pages={54--65},year={2021},doi={10.1007/978-3-030-88007-1\_5},}
Preprints
Arxiv
ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks
@article{chen2024adedgedropadversarialedgedropping,title={ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks},author={Chen, Zhaoliang and Wu, Zhihao and Sadikaj, Ylli and Plant, Claudia and Dai, Hong-Ning and Wang, Shiping and Cheung, Yiu-Ming and Guo, Wenzhong},year={2024},journal={arXiv preprint arXiv:2403.09171},}
A Unified Modular Framework with Deep Graph Convolutional Networks forMulti-label Image RecognitionIn Pattern Recognition and Computer Vision 2021CCF Rank C
