Chuan Chen

According to our database, Chuan Chen authored at least 162 papers between 2007 and 2026.

Collaborative distances:

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

2026

FedBRB: A Solution to the Small-to-Large Scenario in Device-Heterogeneity Federated Learning.

Tianchi Liao, Ziyue Xu, Qing Hu, Hong-Ning Dai, Huaiwei Huang, Zibin Zheng, Chuan Chen

IEEE Trans. Mob. Comput., March, 2026

FedG2: Cross-domain federated graph learning via dual graph matching.

Sheng Huang, Lele Fu, Tianchi Liao, Bowen Deng, Chuanfu Zhang, Chuan Chen

Pattern Recognit., 2026

Credible grouping of heterogeneous clients for personalized federated learning via block-term decomposition.

Tianchi Liao, Siran Zhao, Lele Fu, Sheng Huang, K. Ng Michael, Zibin Zheng, Chuan Chen

Inf. Fusion, 2026

FedLAGC: Towards High Performance System-Heterogeneous Federated Learning via Layer-Adaptive Submodel Extraction and Gradient Correction.

Qing Hu, Tianchi Liao, Shuyi Wu, Lei Yang, Chuan Chen

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Federated Domain-Independent Prototype Learning With Alignments of Representation and Parameter Spaces for Feature Shift.

Lele Fu, Sheng Huang, Yanyi Lai, Chuanfu Zhang, Hong-Ning Dai, Zibin Zheng, Chuan Chen

IEEE Trans. Mob. Comput., September, 2025

ParaAegis: Parallel Protection for Flexible Privacy-preserved Federated Learning.

Zihou Wu, Yuecheng Li, Tianchi Liao, Jian Lou, Chuan Chen

CoRR, September, 2025

Composable Score-based Graph Diffusion Model for Multi-Conditional Molecular Generation.

Anjie Qiao, Zhen Wang, Chuan Chen, Defu Lian, Enhong Chen

CoRR, September, 2025

Advances in Robust Federated Learning: A Survey With Heterogeneity Considerations.

Chuan Chen, Tianchi Liao, Xiaojun Deng, Zihou Wu, Sheng Huang, Zibin Zheng

IEEE Trans. Big Data, June, 2025

A Cross-Client Coordinator in Federated Learning Framework for Conquering Heterogeneity.

Sheng Huang, Lele Fu, Yuecheng Li, Chuan Chen, Zibin Zheng, Hong-Ning Dai

IEEE Trans. Neural Networks Learn. Syst., May, 2025

Enhanced Scalable Graph Neural Network via Knowledge Distillation.

Chengyuan Mai, Yaomin Chang, Chuan Chen, Zibin Zheng

IEEE Trans. Neural Networks Learn. Syst., January, 2025

FGTL: Federated Graph Transfer Learning for Node Classification.

Chengyuan Mai, Tianchi Liao, Chuan Chen, Zibin Zheng

ACM Trans. Knowl. Discov. Data, January, 2025

GI-NAS: Boosting Gradient Inversion Attacks Through Adaptive Neural Architecture Search.

Wenbo Yu, Hao Fang, Bin Chen, Xiaohang Sui, Chuan Chen, Hao Wu, Shu-Tao Xia, Ke Xu

IEEE Trans. Inf. Forensics Secur., 2025

Privacy-Preserving Vertical Federated Learning With Tensor Decomposition for Data Missing Features.

Tianchi Liao, Lele Fu, Lei Zhang, Lei Yang, Chuan Chen, Michael Kwok-Po Ng, Huawei Huang, Zibin Zheng

IEEE Trans. Inf. Forensics Secur., 2025

Learn the global prompt in the low-rank tensor space for heterogeneous federated learning.

Lele Fu, Sheng Huang, Yuecheng Li, Chuan Chen, Chuanfu Zhang, Zibin Zheng

Neural Networks, 2025

Mutual GNN-MLP distillation for robust graph adversarial defense.

Bowen Deng, Jialong Chen, Yanming Hu, Chuan Chen, Tao Zhang

Neural Networks, 2025

Parameter-oriented contrastive schema and multi-level knowledge distillation for heterogeneous federated learning.

Lele Fu, Yuecheng Li, Sheng Huang, Chuan Chen, Chuanfu Zhang, Zibin Zheng

Inf. Fusion, 2025

CoATR: A Convolutional Autoregressive Tensor-Ring decomposition method for sparse spatio-temporal traffic data.

Tianchi Liao, Lei Zhang, Jinghua Yang, Chuan Chen, Zibin Zheng

Neurocomputing, 2025

Prototypical networks with unlabeled data for few-shot node classification.

Ningrui Wang, Yujing Lai, Chuan Chen, Zibin Zheng

Eng. Appl. Artif. Intell., 2025

Reset observer-based containment protocol via event-triggered strategy for multi-agent networks against aperiodic DoS attacks.

Dawei Zhao, Wenkang Xiang, Weizhao Song, Lijuan Xu, Chuan Chen, Zhen Wang

Appl. Math. Comput., 2025

Federated Domain Generalization with Decision Insight Matrix.

Tianchi Liao, Binghui Xie, Lele Fu, Sheng Huang, Bowen Deng, Chuan Chen, Zibin Zheng

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data.

Sheng Huang, Lele Fu, Tianchi Liao, Bowen Deng, Chuanfu Zhang, Chuan Chen

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Learn from Global Rather Than Local: Consistent Context-Aware Representation Learning for Multi-View Graph Clustering.

Lele Fu, Bowen Deng, Sheng Huang, Tianchi Liao, Chuanfu Zhang, Chuan Chen

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off.

Yuecheng Li, Lele Fu, Tong Wang, Jian Lou, Bin Chen, Lei Yang, Jian Shen, Zibin Zheng, Chuan Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Less is More: Federated Graph Learning with Alleviating Topology Heterogeneity from A Causal Perspective.

Lele Fu, Bowen Deng, Sheng Huang, Tianchi Liao, Shirui Pan, Chuan Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Towards Understanding Parametric Generalized Category Discovery on Graphs.

Bowen Deng, Lele Fu, Jialong Chen, Sheng Huang, Tianchi Liao, Zhang Tao, Chuan Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective.

Jialong Chen, Bowen Deng, Zhen Wang, Chuan Chen, Zibin Zheng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Robust and Efficient Clustered Federated Learning via Adaptive Self-Expressive Representations for Tackling Data Heterogeneity.

Wenlin Ou, Tianchi Liao, Chuan Chen

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data.

Lele Fu, Sheng Huang, Yanyi Lai, Tianchi Liao, Chuanfu Zhang, Chuan Chen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings.

Bowen Deng, Tong Wang, Lele Fu, Sheng Huang, Chuan Chen, Tao Zhang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Fine-Grained Semantics Enhanced Contrastive Learning for Graphs.

Youming Liu, Lin Shu, Chuan Chen, Zibin Zheng

IEEE Trans. Knowl. Data Eng., December, 2024

Subspace-Contrastive Multi-View Clustering.

Lele Fu, Sheng Huang, Lei Zhang, Jinghua Yang, Zibin Zheng, Chuanfu Zhang, Chuan Chen

ACM Trans. Knowl. Discov. Data, November, 2024

Decoupling Anomaly Discrimination and Representation Learning: Self-supervised Learning for Anomaly Detection on Attributed Graph.

Yanming Hu, Chuan Chen, Bowen Deng, Yujing Lai, Hao Lin, Zibin Zheng, Jing Bian

Data Sci. Eng., September, 2024

Toward Few-Label Vertical Federated Learning.

Lei Zhang, Lele Fu, Chen Liu, Zhao Yang, Jinghua Yang, Zibin Zheng, Chuan Chen

ACM Trans. Knowl. Discov. Data, August, 2024

Robust Corrupted Data Recovery and Clustering via Generalized Transformed Tensor Low-Rank Representation.

Jing-Hua Yang, Chuan Chen, Hong-Ning Dai, Meng Ding, Zhebin Wu, Zibin Zheng

IEEE Trans. Neural Networks Learn. Syst., July, 2024

Information-aware Multi-view Outlier Detection.

Jinrong Lai, Tong Wang, Chuan Chen, Zibin Zheng

ACM Trans. Knowl. Discov. Data, May, 2024

FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs.

Taolin Zhang, Chengyuan Mai, Yaomin Chang, Chuan Chen, Lin Shu, Zibin Zheng

ACM Trans. Knowl. Discov. Data, February, 2024

A neural tensor decomposition model for high-order sparse data recovery.

Tianchi Liao, Jinghua Yang, Chuan Chen, Zibin Zheng

Inf. Sci., February, 2024

FedGL: Federated graph learning framework with global self-supervision.

Chuan Chen, Ziyue Xu, Weibo Hu, Zibin Zheng, Jie Zhang

Inf. Sci., February, 2024

Multiagent Deep Reinforcement Learning for Dynamic Avatar Migration in AIoT-Enabled Vehicular Metaverses With Trajectory Prediction.

Junlong Chen, Jiawen Kang, Minrui Xu, Zehui Xiong, Dusit Niyato, Chuan Chen, Abbas Jamalipour, Shengli Xie

IEEE Internet Things J., January, 2024

Addressing Concept Drift in IoT Anomaly Detection: Drift Detection, Interpretation, and Adaptation.

Lijuan Xu, Ziyu Han, Dawei Zhao, Xin Li, Fuqiang Yu, Chuan Chen

IEEE Trans. Sustain. Comput., 2024

Data-free knowledge distillation via generator-free data generation for Non-IID federated learning.

Siran Zhao, Tianchi Liao, Lele Fu, Chuan Chen, Jing Bian, Zibin Zheng

Neural Networks, 2024

Migrate demographic group for fair Graph Neural Networks.

Yanming Hu, Tianchi Liao, Jialong Chen, Jing Bian, Zibin Zheng, Chuan Chen

Neural Networks, 2024

Advances in Robust Federated Learning: Heterogeneity Considerations.

Chuan Chen, Tianchi Liao, Xiaojun Deng, Zihou Wu, Sheng Huang, Zibin Zheng

CoRR, 2024

FedBRB: An Effective Solution to the Small-to-Large Scenario in Device-Heterogeneity Federated Learning.

Ziyue Xu, Mingfeng Xu, Tianchi Liao, Zibin Zheng, Chuan Chen

CoRR, 2024

Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off.

Yuecheng Li, Tong Wang, Chuan Chen, Jian Lou, Bin Chen, Lei Yang, Zibin Zheng

CoRR, 2024

Privacy computing meets metaverse: Necessity, taxonomy and challenges.

Chuan Chen, Yuecheng Li, Zhenpeng Wu, Chengyuan Mai, Youming Liu, Yanming Hu, Jiawen Kang, Zibin Zheng

Ad Hoc Networks, 2024

Speech Encryption Scheme Based on Chaotic Memristor Neural Network and S-Box.

Dawei Zhao, Hui Yu, Chuan Chen, Lixiang Li, Ling Mi

Proceedings of the Natural Language Processing and Chinese Computing, 2024

A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm.

Tianchi Liao, Lele Fu, Jialong Chen, Zhen Wang, Zibin Zheng, Chuan Chen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

SGCA: Signed Graph Contrastive Learning with Adaptive Augmentation.

Yijie Qi, Erxin Du, Lin Shu, Chuan Chen

Proceedings of the International Joint Conference on Neural Networks, 2024

Applying Logical Rules to Reinforcement Learning for Interpretable Knowledge Graph Reasoning.

Youming Liu, Yujing Lai, Chuan Chen

Proceedings of the International Joint Conference on Neural Networks, 2024

Contrastive Deep Nonnegative Matrix Factorization For Community Detection.

Yuecheng Li, Jialong Chen, Chuan Chen, Lei Yang, Zibin Zheng

Proceedings of the IEEE International Conference on Acoustics, 2024

FedSeProto: Learning Semantic Prototype in Federated Learning.

Yanyi Lai, Lele Fu, Tianchi Liao, Chuan Chen, Zibin Zheng

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

PROSPECT: Learn MLPs on Graphs Robust against Adversarial Structure Attacks.

Bowen Deng, Jialong Chen, Yanming Hu, Zhiyong Xu, Chuan Chen, Tao Zhang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Improving Message-Passing GNNs by Asynchronous Aggregation.

Jialong Chen, Tianchi Liao, Chuan Chen, Zibin Zheng

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Tensor completion via convolutional sparse coding with small samples-based training.

Tianchi Liao, Zhebin Wu, Chuan Chen, Zibin Zheng, Xiongjun Zhang

Pattern Recognit., September, 2023

SHNE: Semantics and Homophily Preserving Network Embedding.

Ziyang Zhang, Chuan Chen, Yaomin Chang, Weibo Hu, Xingxing Xing, Yuren Zhou, Zibin Zheng

IEEE Trans. Neural Networks Learn. Syst., August, 2023

A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection.

Yu Wang, Chuan Chen, Jinrong Lai, Lele Fu, Yuren Zhou, Zibin Zheng

ACM Trans. Knowl. Discov. Data, January, 2023

Coherence-penalty minimization method for incoherent unit-norm tight frame design.

Fenghua Tong, Dawei Zhao, Chuan Chen, Lixiang Li

Signal Process., 2023

Towards Reliable Utilization of AIGC: Blockchain-Empowered Ownership Verification Mechanism.

Chuan Chen, Yihao Li, Zihou Wu, Mingfeng Xu, Rui Wang, Zibin Zheng

IEEE Open J. Comput. Soc., 2023

Heterogeneity-aware fair federated learning.

Xiaoli Li, Siran Zhao, Chuan Chen, Zibin Zheng

Inf. Sci., 2023

Cross-view graph matching for incomplete multi-view clustering.

Jinghua Yang, Lele Fu, Chuan Chen, Hong-Ning Dai, Zibin Zheng

Neurocomputing, 2023

Tokenized Model: A Blockchain-Empowered Decentralized Model Ownership Verification Platform.

Yihao Li, Yanyi Lai, Tianchi Liao, Chuan Chen, Zibin Zheng

CoRR, 2023

VeryFL: A Verify Federated Learning Framework Embedded with Blockchain.

Yihao Li, Yanyi Lai, Chuan Chen, Zibin Zheng

CoRR, 2023

Community-Aware Efficient Graph Contrastive Learning via Personalized Self-Training.

Yuecheng Li, Yanming Hu, Lele Fu, Chuan Chen, Lei Yang, Zibin Zheng

CoRR, 2023

Multi-Agent Deep Reinforcement Learning for Dynamic Avatar Migration in AIoT-enabled Vehicular Metaverses with Trajectory Prediction.

Junlong Chen, Jiawen Kang, Minrui Xu, Zehui Xiong, Dusit Niyato, Chuan Chen, Abbas Jamalipour, Shengli Xie

CoRR, 2023

DsMtGCN: A Direction-sensitive Multi-task framework for Knowledge Graph Completion.

Jining Wang, Chuan Chen, Zibin Zheng, Yuren Zhou

CoRR, 2023

Contextual Dictionary Lookup for Knowledge Graph Completion.

Jining Wang, Delai Qiu, Youming Liu, Yining Wang, Chuan Chen, Zibin Zheng, Yuren Zhou

CoRR, 2023

Migrate Demographic Group For Fair GNNs.

Yanming Hu, Tianchi Liao, Jialong Chen, Chuan Chen, Jing Bian, Zibin Zheng

CoRR, 2023

Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond.

Chuan Chen, Zhenpeng Wu, Yanyi Lai, Wenlin Ou, Tianchi Liao, Zibin Zheng

CoRR, 2023

Capturing Fine-grained Semantics in Contrastive Graph Representation Learning.

Lin Shu, Chuan Chen, Zibin Zheng

CoRR, 2023

Mutual Information-Driven Multi-View Clustering.

Lei Zhang, Lele Fu, Tong Wang, Chuan Chen, Chuanfu Zhang

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

VFedAD: A Defense Method Based on the Information Mechanism Behind the Vertical Federated Data Poisoning Attack.

Jinrong Lai, Tong Wang, Chuan Chen, Yihao Li, Zibin Zheng

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

2022

Who Are the Phishers? Phishing Scam Detection on Ethereum via Network Embedding.

Jiajing Wu, Qi Yuan, Dan Lin, Wei You, Weili Chen, Chuan Chen, Zibin Zheng

IEEE Trans. Syst. Man Cybern. Syst., 2022

Distributed Evolution Strategies for Black-Box Stochastic Optimization.

Xiaoyu He, Zibin Zheng, Chuan Chen, Yuren Zhou, Chuan Luo, Qingwei Lin

IEEE Trans. Parallel Distributed Syst., 2022

A Decentralized Federated Learning Framework via Committee Mechanism With Convergence Guarantee.

Chunjiang Che, Xiaoli Li, Chuan Chen, Xiaoyu He, Zibin Zheng

IEEE Trans. Parallel Distributed Syst., 2022

Predefined-Time Synchronization of Stochastic Memristor-Based Bidirectional Associative Memory Neural Networks With Time-Varying Delays.

Qingjié Wang, Hui Zhao, Aidi Liu, Lixiang Li, Sijie Niu, Chuan Chen

IEEE Trans. Cogn. Dev. Syst., 2022

QNG: A Quasi-Natural Gradient Method for Large-Scale Statistical Learning.

Xiaoyu He, Zibin Zheng, Yuren Zhou, Chuan Chen

SIAM J. Optim., 2022

When Digital Economy Meets Web3.0: Applications and Challenges.

Chuan Chen, Lei Zhang, Yihao Li, Tianchi Liao, Siran Zhao, Zibin Zheng, Huawei Huang, Jiajing Wu

IEEE Open J. Comput. Soc., 2022

A new predefined-time stability theorem and its application in the synchronization of memristive complex-valued BAM neural networks.

Aidi Liu, Hui Zhao, Qingjié Wang, Sijie Niu, Xizhan Gao, Chuan Chen, Lixiang Li

Neural Networks, 2022

GraphRR: A multiplex Graph based Reciprocal friend Recommender system with applications on online gaming service.

Yaomin Chang, Lin Shu, Erxin Du, Chuan Chen, Ziyang Zhang, Zibin Zheng, Yuzhao Huang, Xingxing Xing

Knowl. Based Syst., 2022

Megnn: Meta-path extracted graph neural network for heterogeneous graph representation learning.

Yaomin Chang, Chuan Chen, Weibo Hu, Zibin Zheng, Xiaocong Zhou, Shouzhi Chen

Knowl. Based Syst., 2022

A structure noise-aware tensor dictionary learning method for high-dimensional data clustering.

Jinghua Yang, Chuan Chen, Hong-Ning Dai, Lele Fu, Zibin Zheng

Inf. Sci., 2022

Predicting high-dimensional time series data with spatial, temporal and global information.

Jining Wang, Chuan Chen, Zibin Zheng, Luonan Chen, Yuren Zhou

Inf. Sci., 2022

Low-rank tensor approximation with local structure for multi-view intrinsic subspace clustering.

Lele Fu, Jinghua Yang, Chuan Chen, Chuanfu Zhang

Inf. Sci., 2022

A Unified Federated DNNs Framework for Heterogeneous Mobile Devices.

Xiaoli Li, Yuzheng Li, Shixuan Li, Yuren Zhou, Chuan Chen, Zibin Zheng

IEEE Internet Things J., 2022

A Personalized Federated Tensor Factorization Framework for Distributed IoT Services QoS Prediction From Heterogeneous Data.

Xiaoli Li, Shixuan Li, Yuzheng Li, Yuren Zhou, Chuan Chen, Zibin Zheng

IEEE Internet Things J., 2022

Consistent affinity representation learning with dual low-rank constraints for multi-view subspace clustering.

Lele Fu, Jieling Li, Chuan Chen

Neurocomputing, 2022

AHNA: Adaptive representation learning for attributed heterogeneous networks.

Lin Shu, Chuan Chen, Xingxing Xing, Xiangke Liao, Zibin Zheng

Int. J. Intell. Syst., 2022

Decentralized federated meta-learning framework for few-shot multitask learning.

Xiaoli Li, Yuzheng Li, Jining Wang, Chuan Chen, Liu Yang, Zibin Zheng

Int. J. Intell. Syst., 2022

HIN2Grid: A disentangled CNN-based framework for heterogeneous network learning.

Ziyang Zhang, Chuan Chen, Yaomin Chang, Weibo Hu, Zibin Zheng, Yuren Zhou, Lei Sun

Expert Syst. Appl., 2022

Block term decomposition with distinct time granularities for temporal knowledge graph completion.

Yujing Lai, Chuan Chen, Zibin Zheng, Yangqing Zhang

Expert Syst. Appl., 2022

When Digital Economy Meets Web 3.0: Applications and Challenges.

Chuan Chen, Lei Zhang, Yihao Li, Tianchi Liao, Siran Zhao, Zibin Zheng, Huawei Huang, Jiajing Wu

CoRR, 2022

Subspace-Contrastive Multi-View Clustering.

Lele Fu, Lei Zhang, Jinghua Yang, Chuan Chen, Chuanfu Zhang, Zibin Zheng

CoRR, 2022

FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs.

Taolin Zhang, Chuan Chen, Yaomin Chang, Lin Shu, Zibin Zheng

CoRR, 2022

Robust Tensor Graph Convolutional Networks via T-SVD based Graph Augmentation.

Zhebin Wu, Lin Shu, Ziyue Xu, Yaomin Chang, Chuan Chen, Zibin Zheng

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Hierarchical Representation for Multi-view Clustering: From Intra-sample to Intra-view to Inter-view.

Jinghua Yang, Chuan Chen, Hong-Ning Dai, Meng Ding, Lele Fu, Zibin Zheng

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Predefined-time synchronization of competitive neural networks.

Chuan Chen, Ling Mi, Zhongqiang Liu, Baolin Qiu, Hui Zhao, Lijuan Xu

Neural Networks, 2021

A Blockchain-Based Decentralized Federated Learning Framework with Committee Consensus.

Yuzheng Li, Chuan Chen, Nan Liu, Huawei Huang, Zibin Zheng, Qiang Yan

IEEE Netw., 2021

Learning deep discriminative representations with pseudo supervision for image clustering.

Weibo Hu, Chuan Chen, Fanghua Ye, Zibin Zheng, Yunfei Du

Inf. Sci., 2021

Auto-weighted robust low-rank tensor completion via tensor-train.

Chuan Chen, Zhebin Wu, Zitai Chen, Zibin Zheng, Xiongjun Zhang

Inf. Sci., 2021

Predefined-Time Stability/Synchronization of Coupled Memristive Neural Networks With Multi-Links and Application in Secure Communication.

Hui Zhao, Aidi Liu, Qingjié Wang, Mingwen Zheng, Chuan Chen, Sijie Niu, Lixiang Li

Frontiers Neurorobotics, 2021

FedGL: Federated Graph Learning Framework with Global Self-Supervision.

Chuan Chen, Weibo Hu, Ziyue Xu, Zibin Zheng

CoRR, 2021

Robust graph convolutional networks with directional graph adversarial training.

Weibo Hu, Chuan Chen, Yaomin Chang, Zibin Zheng, Yunfei Du

Appl. Intell., 2021

Outlier-Resilient Web Service QoS Prediction.

Fanghua Ye, Zhiwei Lin, Chuan Chen, Zibin Zheng, Hong Huang

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

Node2Grids: A Cost-Efficient Uncoupled Training Framework for Large-Scale Graph Learning.

Dalong Yang, Chuan Chen, Youhao Zheng, Zibin Zheng, Shih-wei Liao

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

SGCL: Contrastive Representation Learning for Signed Graphs.

Lin Shu, Erxin Du, Yaomin Chang, Chuan Chen, Zibin Zheng, Xingxing Xing, Shaofeng Shen

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

2020

Nonuniform Hyper-Network Embedding with Dual Mechanism.

Jie Huang, Chuan Chen, Fanghua Ye, Weibo Hu, Zibin Zheng

ACM Trans. Inf. Syst., 2020

Homophily Preserving Community Detection.

Fanghua Ye, Chuan Chen, Zhiyuan Wen, Zibin Zheng, Wuhui Chen, Yuren Zhou

IEEE Trans. Neural Networks Learn. Syst., 2020

A new fixed-time stability theorem and its application to the fixed-time synchronization of neural networks.

Chuan Chen, Lixiang Li, Haipeng Peng, Yixian Yang, Ling Mi, Hui Zhao

Neural Networks, 2020

Robust multi-view k-means clustering with outlier removal.

Chuan Chen, Yu Wang, Weibo Hu, Zibin Zheng

Knowl. Based Syst., 2020

Multi-view semi-supervised learning for classification on dynamic networks.

Chuan Chen, Yuzheng Li, Hui Qian, Zibin Zheng, Yanqing Hu

Knowl. Based Syst., 2020

Tensor Completion via Few-shot Convolutional Sparse Coding.

Zhebin Wu, Chuan Chen, Cong Liu, Zibin Zheng

CoRR, 2020

Outlier Resilient Collaborative Web Service QoS Prediction.

Fanghua Ye, Zhiwei Lin, Chuan Chen, Zibin Zheng, Hong Huang, Emine Yilmaz

CoRR, 2020

A Flexible Framework for Large Graph Learning.

Dalong Yang, Chuan Chen, Youhao Zheng, Zibin Zheng

CoRR, 2020

Collaborative deep learning across multiple data centers.

Haibo Mi, Kele Xu, Dawei Feng, Huaimin Wang, Yiming Zhang, Zibin Zheng, Chuan Chen, Xu Lan

Sci. China Inf. Sci., 2020

Intermittent Pinning Synchronization of Memristor-Based Switching Networks With Multi-Links and Mixed Delays.

Baolin Qiu, Lixiang Li, Haipeng Peng, Yixian Yang, Chuan Chen

IEEE Access, 2020

Fixed-Time Synchronization Analysis for Complex-Valued Neural Networks via a New Fixed-Time Stability Theorem.

Ling Mi, Chuan Chen, Baolin Qiu, Lijuan Xu, Lei Zhang

IEEE Access, 2020

Communication-Efficient Collaborative Learning of Geo-Distributed JointCloud from Heterogeneous Datasets.

Xiaoli Li, Nan Liu, Chuan Chen, Zibin Zheng, Huizhong Li, Qiang Yan

Proceedings of the IEEE International Conference on Joint Cloud Computing, 2020

Directional Adversarial Training for Recommender Systems.

Yangjun Xu, Liang Chen, Fenfang Xie, Weibo Hu, Jieming Zhu, Chuan Chen, Zibin Zheng

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

A Secure and Efficient Blockchain-Based Data Trading Approach for Internet of Vehicles.

Chuan Chen, Jiajing Wu, Hui Lin, Wuhui Chen, Zibin Zheng

IEEE Trans. Veh. Technol., 2019

A Semisupervised Classification Approach for Multidomain Networks With Domain Selection.

Chuan Chen, Jingxue Xin, Yong Wang, Luonan Chen, Michael K. Ng

IEEE Trans. Neural Networks Learn. Syst., 2019

STD: An Automatic Evaluation Metric for Machine Translation Based on Word Embeddings.

Pairui Li, Chuan Chen, Wujie Zheng, Yuetang Deng, Fanghua Ye, Zibin Zheng

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Fixed-time synchronization of inertial memristor-based neural networks with discrete delay.

Chuan Chen, Lixiang Li, Haipeng Peng, Yixian Yang

Neural Networks, 2019

Cooperative and Distributed Computation Offloading for Blockchain-Empowered Industrial Internet of Things.

Wuhui Chen, Zhen Zhang, Zicong Hong, Chuan Chen, Jiajing Wu, Sabita Maharjan, Zibin Zheng, Yan Zhang

IEEE Internet Things J., 2019

Digging into it: Community detection via hidden attributes analysis.

Li Rui Jie, Fanghua Ye, Shaoan Xie, Chuan Chen, Zibin Zheng

Neurocomputing, 2019

Auto-weighted multi-view constrained spectral clustering.

Chuan Chen, Hui Qian, Wuhui Chen, Zibin Zheng, Hong Zhu

Neurocomputing, 2019

A new fixed-time stability theorem and its application to the synchronization control of memristive neural networks.

Chuan Chen, Lixiang Li, Haipeng Peng, Yixian Yang, Ling Mi, Lianhai Wang

Neurocomputing, 2019

Makespan-minimized computation offloading for smart toys in edge-cloud computing.

Shenghui Li, Wuhui Chen, Yufen Chen, Chuan Chen, Zibin Zheng

Electron. Commer. Res. Appl., 2019

Market Manipulation of Bitcoin: Evidence from Mining the Mt. Gox Transaction Network.

Weili Chen, Jun Wu, Zibin Zheng, Chuan Chen, Yuren Zhou

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Dynamically Route Hierarchical Structure Representation to Attentive Capsule for Text Classification.

Wanshan Zheng, Zibin Zheng, Hai Wan, Chuan Chen

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Variational Graph Embedding and Clustering with Laplacian Eigenmaps.

Zitai Chen, Chuan Chen, Zong Zhang, Zibin Zheng, Qingsong Zou

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Discrete Overlapping Community Detection with Pseudo Supervision.

Fanghua Ye, Chuan Chen, Zibin Zheng, Rong-Hua Li, Jeffrey Xu Yu

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

A Semi-supervised Classification Approach for Multiple Time-Varying Networks with Total Variation.

Yuzheng Li, Chuan Chen, Fanghua Ye, Zibin Zheng, Guohui Ling

Proceedings of the Database Systems for Advanced Applications, 2019

Hyper2vec: Biased Random Walk for Hyper-network Embedding.

Jie Huang, Chuan Chen, Fanghua Ye, Jiajing Wu, Zibin Zheng, Guohui Ling

Proceedings of the Database Systems for Advanced Applications, 2019

Nonnegative Spectral Clustering for Large-Scale Semi-supervised Learning.

Weibo Hu, Chuan Chen, Fanghua Ye, Zibin Zheng, Guohui Ling

Proceedings of the Database Systems for Advanced Applications, 2019

SINE: Side Information Network Embedding.

Zitai Chen, Tongzhao Cai, Chuan Chen, Zibin Zheng, Guohui Ling

Proceedings of the Database Systems for Advanced Applications, 2019

Blockchain-Based Credible and Privacy-Preserving QoS-Aware Web Service Recommendation.

Xiaoli Li, Erxin Du, Chuan Chen, Zibin Zheng, Ting Cai, Qiang Yan

Proceedings of the Blockchain and Trustworthy Systems - First International Conference, 2019

Tensor Decomposition for Multilayer Networks Clustering.

Zitai Chen, Chuan Chen, Zibin Zheng, Yi Zhu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

An Enterprise Competitiveness Assessment Method Based on Ensemble Learning.

Yaomin Chang, Yuzheng Li, Chuan Chen, Bin Cao, Zhenxing Li

Proceedings of the Web Information Systems and Applications, 2019

2018

Synchronization Control of Coupled Memristor-Based Neural Networks with Mixed Delays and Stochastic Perturbations.

Chuan Chen, Lixiang Li, Haipeng Peng, Yixian Yang, Tao Li

Neural Process. Lett., 2018

Multiple graphs clustering by gradient flow method.

Hong Zhu, Chuan Chen, Li-Zhi Liao, Michael K. Ng

J. Frankl. Inst., 2018

Collaborative Deep Learning Across Multiple Data Centers.

Kele Xu, Haibo Mi, Dawei Feng, Huaimin Wang, Chuan Chen, Zibin Zheng, Xu Lan

CoRR, 2018

Adaptive synchronization of memristor-based BAM neural networks with mixed delays.

Chuan Chen, Lixiang Li, Haipeng Peng, Yixian Yang

Appl. Math. Comput., 2018

Identifying Influential Individuals on Large-Scale Social Networks: A Community Based Approach.

Fanghua Ye, Jiahao Liu, Chuan Chen, Guohui Ling, Zibin Zheng, Yuren Zhou

IEEE Access, 2018

BGN: Identifying Influential Nodes in Complex Networks via Backward Generating Networks.

Zhiwei Lin, Fanghua Ye, Chuan Chen, Zibin Zheng

IEEE Access, 2018

Adaptive Lag Synchronization of Memristive Neural Networks With Mixed Delays.

Chuan Chen, Lixiang Li, Haipeng Peng, Yixian Yang

IEEE Access, 2018

An Adaptive Semi-local Algorithm for Node Ranking in Large Complex Networks.

Fanghua Ye, Chuan Chen, Jie Zhang, Jiajing Wu, Zibin Zheng

Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

Group preference based API recommendation via heterogeneous information network.

Fenfang Xie, Liang Chen, Dongding Lin, Chuan Chen, Zibin Zheng, Xiaola Lin

Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

Learning Semantic Representations for Unsupervised Domain Adaptation.

Shaoan Xie, Zibin Zheng, Liang Chen, Chuan Chen

Proceedings of the 35th International Conference on Machine Learning, 2018

Adaptive Affinity Learning for Accurate Community Detection.

Fanghua Ye, Shenghui Li, Zhiwei Lin, Chuan Chen, Zibin Zheng

Proceedings of the IEEE International Conference on Data Mining, 2018

Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection.

Fanghua Ye, Chuan Chen, Zibin Zheng

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Fixed-time synchronization of memristor-based BAM neural networks with time-varying discrete delay.

Chuan Chen, Lixiang Li, Haipeng Peng, Yixian Yang

Neural Networks, 2017

Block spectral clustering methods for multiple graphs.

Chuan Chen, Michael K. Ng, Shuqin Zhang

Numer. Linear Algebra Appl., 2017

Block spectral clustering for multiple graphs with inter-relation.

Chuan Chen, Michael K. Ng, Shuqin Zhang

Netw. Model. Anal. Health Informatics Bioinform., 2017

Finite-time synchronization of memristor-based neural networks with mixed delays.

Chuan Chen, Lixiang Li, Haipeng Peng, Yixian Yang, Tao Li

Neurocomputing, 2017

Efficient Influential Individuals Discovery on Service-Oriented Social Networks: A Community-Based Approach.

Fanghua Ye, Jiahao Liu, Chuan Chen, Guohui Ling, Zibin Zheng, Yuren Zhou

Proceedings of the Service-Oriented Computing - 15th International Conference, 2017

An Embedding Based Factorization Machine Approach for Web Service QoS Prediction.

Yaoming Wu, Fenfang Xie, Liang Chen, Chuan Chen, Zibin Zheng

Proceedings of the Service-Oriented Computing - 15th International Conference, 2017

DC-RSF: A Dynamic and Customized Reputation System Framework for Joint Cloud Computing.

Fanghua Ye, Zibin Zheng, Chuan Chen, Yuren Zhou

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems Workshops, 2017

2016

An image pixel based variational model for histogram equalization.

Wei Wang, Chuan Chen, Michael K. Ng

J. Vis. Commun. Image Represent., 2016

2015

Alternating Direction Method of Multipliers for Nonlinear Image Restoration Problems.

Chuan Chen, Michael K. Ng, Xi-Le Zhao

IEEE Trans. Image Process., 2015

Total variation based tensor decomposition for multi-dimensional data with time dimension.

Chuan Chen, Xutao Li, Michael K. Ng, Xiaoming Yuan

Numer. Linear Algebra Appl., 2015

2007

An Improved Ant-based Classifier for Intrusion Detection.

Junbing He, Dongyang Long, Chuan Chen

Proceedings of the Third International Conference on Natural Computation, 2007