Total variation based tensor decomposition for multi-dimensional data with time dimension. - Chuan Chen 001; Xutao Li; Michael K. Ng 001; Xiaoming Yuan 001 (Numer. Linear Algebra Appl., 2015)

Alternating Direction Method of Multipliers for Nonlinear Image Restoration Problems. - Chuan Chen 001; Michael K. Ng 001; Xi-Le Zhao (IEEE Trans. Image Process., 2015)

An image pixel based variational model for histogram equalization. - Wei Wang 132; Chuan Chen 001; Michael K. Ng 001 (J. Vis. Commun. Image Represent., 2016)

DC-RSF: A Dynamic and Customized Reputation System Framework for Joint Cloud Computing. - Fanghua Ye 001; Zibin Zheng; Chuan Chen 001; Yuren Zhou (ICDCS Workshops, 2017)

An Embedding Based Factorization Machine Approach for Web Service QoS Prediction. - Yaoming Wu; Fenfang Xie; Liang Chen 001; Chuan Chen 001; Zibin Zheng (ICSOC, 2017)

Efficient Influential Individuals Discovery on Service-Oriented Social Networks: A Community-Based Approach. - Fanghua Ye 001; Jiahao Liu; Chuan Chen 001; Guohui Ling; Zibin Zheng; Yuren Zhou (ICSOC, 2017)

Block spectral clustering for multiple graphs with inter-relation. - Chuan Chen 001; Michael K. Ng 001; Shuqin Zhang (Netw. Model. Anal. Health Informatics Bioinform., 2017)

Block spectral clustering methods for multiple graphs. - Chuan Chen 001; Michael K. Ng 001; Shuqin Zhang (Numer. Linear Algebra Appl., 2017)

Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection. - Fanghua Ye 001; Chuan Chen 001; Zibin Zheng (CIKM, 2018)

Adaptive Affinity Learning for Accurate Community Detection. - Fanghua Ye 001; Shenghui Li; Zhiwei Lin; Chuan Chen 001; Zibin Zheng (ICDM, 2018)

Learning Semantic Representations for Unsupervised Domain Adaptation. - Shaoan Xie; Zibin Zheng; Liang Chen 001; Chuan Chen 001 (ICML, 2018)

Group preference based API recommendation via heterogeneous information network. - Fenfang Xie; Liang Chen 001; Dongding Lin; Chuan Chen 001; Zibin Zheng; Xiaola Lin (ICSE (Companion Volume), 2018)

An Adaptive Semi-local Algorithm for Node Ranking in Large Complex Networks. - Fanghua Ye 001; Chuan Chen 001; Jie Zhang; Jiajing Wu; Zibin Zheng (ICSOC, 2018)

BGN: Identifying Influential Nodes in Complex Networks via Backward Generating Networks. - Zhiwei Lin; Fanghua Ye 001; Chuan Chen 001; Zibin Zheng (IEEE Access, 2018)

Identifying Influential Individuals on Large-Scale Social Networks: A Community Based Approach. - Fanghua Ye 001; Jiahao Liu; Chuan Chen 001; Guohui Ling; Zibin Zheng; Yuren Zhou (IEEE Access, 2018)

Collaborative Deep Learning Across Multiple Data Centers. - Kele Xu; Haibo Mi; Dawei Feng; Huaimin Wang; Chuan Chen 001; Zibin Zheng; Xu Lan (CoRR, 2018)

Multiple graphs clustering by gradient flow method. - Hong Zhu 012; Chuan Chen 001; Li-Zhi Liao; Michael K. Ng 001 (J. Frankl. Inst., 2018)

An Enterprise Competitiveness Assessment Method Based on Ensemble Learning. - Yaomin Chang; Yuzheng Li; Chuan Chen 001; Bin Cao; Zhenxing Li (WISA, 2019)

Tensor Decomposition for Multilayer Networks Clustering. - Zitai Chen; Chuan Chen 001; Zibin Zheng; Yi Zhu (AAAI, 2019)

Blockchain-Based Credible and Privacy-Preserving QoS-Aware Web Service Recommendation. - Xiaoli Li 016; Erxin Du; Chuan Chen 001; Zibin Zheng; Ting Cai 002; Qiang Yan 001 (BlockSys, 2019)

SINE: Side Information Network Embedding. - Zitai Chen; Tongzhao Cai; Chuan Chen 001; Zibin Zheng; Guohui Ling (DASFAA (1), 2019)

Nonnegative Spectral Clustering for Large-Scale Semi-supervised Learning. - Weibo Hu; Chuan Chen 001; Fanghua Ye 001; Zibin Zheng; Guohui Ling (DASFAA (3), 2019)

Hyper2vec: Biased Random Walk for Hyper-network Embedding. - Jie Huang 009; Chuan Chen 001; Fanghua Ye 001; Jiajing Wu; Zibin Zheng; Guohui Ling (DASFAA (3), 2019)

A Semi-supervised Classification Approach for Multiple Time-Varying Networks with Total Variation. - Yuzheng Li; Chuan Chen 001; Fanghua Ye 001; Zibin Zheng; Guohui Ling (DASFAA (3), 2019)

Discrete Overlapping Community Detection with Pseudo Supervision. - Fanghua Ye 001; Chuan Chen 001; Zibin Zheng; Rong-Hua Li; Jeffrey Xu Yu (ICDM, 2019)

Variational Graph Embedding and Clustering with Laplacian Eigenmaps. - Zitai Chen; Chuan Chen 001; Zong Zhang; Zibin Zheng; Qingsong Zou (IJCAI, 2019)

Dynamically Route Hierarchical Structure Representation to Attentive Capsule for Text Classification. - Wanshan Zheng; Zibin Zheng; Hai Wan; Chuan Chen 001 (IJCAI, 2019)

Market Manipulation of Bitcoin: Evidence from Mining the Mt. Gox Transaction Network. - Weili Chen; Jun Wu; Zibin Zheng; Chuan Chen 001; Yuren Zhou (INFOCOM, 2019)

Makespan-minimized computation offloading for smart toys in edge-cloud computing. - Shenghui Li; Wuhui Chen; Yufen Chen; Chuan Chen 001; Zibin Zheng (Electron. Commer. Res. Appl., 2019)

Auto-weighted multi-view constrained spectral clustering. - Chuan Chen 001; Hui Qian 006; Wuhui Chen; Zibin Zheng; Hong Zhu 012 (Neurocomputing, 2019)

Digging into it: Community detection via hidden attributes analysis. - Li Rui Jie; Fanghua Ye 001; Shaoan Xie; Chuan Chen 001; Zibin Zheng (Neurocomputing, 2019)

Cooperative and Distributed Computation Offloading for Blockchain-Empowered Industrial Internet of Things. - Wuhui Chen; Zhen Zhang 022; Zicong Hong; Chuan Chen 001; Jiajing Wu; Sabita Maharjan; Zibin Zheng; Yan Zhang 002 (IEEE Internet Things J., 2019)

STD: An Automatic Evaluation Metric for Machine Translation Based on Word Embeddings. - Pairui Li; Chuan Chen 001; Wujie Zheng; Yuetang Deng; Fanghua Ye 001; Zibin Zheng (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

A Semisupervised Classification Approach for Multidomain Networks With Domain Selection. - Chuan Chen 001; Jingxue Xin; Yong Wang 001; Luonan Chen; Michael K. Ng 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

A Secure and Efficient Blockchain-Based Data Trading Approach for Internet of Vehicles. - Chuan Chen 001; Jiajing Wu; Hui Lin; Wuhui Chen; Zibin Zheng (IEEE Trans. Veh. Technol., 2019)

Directional Adversarial Training for Recommender Systems. - Yangjun Xu; Liang Chen 001; Fenfang Xie; Weibo Hu; Jieming Zhu; Chuan Chen 001; Zibin Zheng (ECAI, 2020)

Collaborative deep learning across multiple data centers. - Haibo Mi; Kele Xu; Dawei Feng; Huaimin Wang; Yiming Zhang; Zibin Zheng; Chuan Chen 001; Xu Lan (Sci. China Inf. Sci., 2020)

A Flexible Framework for Large Graph Learning. - Dalong Yang; Chuan Chen 001; Youhao Zheng; Zibin Zheng (CoRR, 2020)

Outlier Resilient Collaborative Web Service QoS Prediction. - Fanghua Ye 001; Zhiwei Lin; Chuan Chen 001; Zibin Zheng; Hong Huang 001; Emine Yilmaz (CoRR, 2020)

Tensor Completion via Few-shot Convolutional Sparse Coding. - Zhebin Wu; Chuan Chen 001; Cong Liu; Zibin Zheng (CoRR, 2020)

Multi-view semi-supervised learning for classification on dynamic networks. - Chuan Chen 001; Yuzheng Li; Hui Qian 006; Zibin Zheng; Yanqing Hu (Knowl. Based Syst., 2020)

Robust multi-view k-means clustering with outlier removal. - Chuan Chen 001; Yu Wang 280; Weibo Hu; Zibin Zheng (Knowl. Based Syst., 2020)

Homophily Preserving Community Detection. - Fanghua Ye 001; Chuan Chen 001; Zhiyuan Wen; Zibin Zheng; Wuhui Chen; Yuren Zhou (IEEE Trans. Neural Networks Learn. Syst., 2020)

Nonuniform Hyper-Network Embedding with Dual Mechanism. - Jie Huang 009; Chuan Chen 001; Fanghua Ye 001; Weibo Hu; Zibin Zheng (ACM Trans. Inf. Syst., 2020)

SGCL: Contrastive Representation Learning for Signed Graphs. - Lin Shu; Erxin Du; Yaomin Chang; Chuan Chen 001; Zibin Zheng; Xingxing Xing; Shaofeng Shen (CIKM, 2021)

Node2Grids: A Cost-Efficient Uncoupled Training Framework for Large-Scale Graph Learning. - Dalong Yang; Chuan Chen 001; Youhao Zheng; Zibin Zheng; Shih-wei Liao (CIKM, 2021)

Outlier-Resilient Web Service QoS Prediction. - Fanghua Ye 001; Zhiwei Lin; Chuan Chen 001; Zibin Zheng; Hong Huang 001 (WWW, 2021)

Robust graph convolutional networks with directional graph adversarial training. - Weibo Hu; Chuan Chen 001; Yaomin Chang; Zibin Zheng; Yunfei Du (Appl. Intell., 2021)

FedGL: Federated Graph Learning Framework with Global Self-Supervision. - Chuan Chen 001; Weibo Hu; Ziyue Xu 002; Zibin Zheng (CoRR, 2021)

Auto-weighted robust low-rank tensor completion via tensor-train. - Chuan Chen 001; Zhebin Wu; Zitai Chen; Zibin Zheng; Xiongjun Zhang (Inf. Sci., 2021)

Learning deep discriminative representations with pseudo supervision for image clustering. - Weibo Hu; Chuan Chen 001; Fanghua Ye 001; Zibin Zheng; Yunfei Du (Inf. Sci., 2021)

A Blockchain-Based Decentralized Federated Learning Framework with Committee Consensus. - Yuzheng Li; Chuan Chen 001; Nan Liu; Huawei Huang; Zibin Zheng; Qiang Yan 001 (IEEE Netw., 2021)

Hierarchical Representation for Multi-view Clustering: From Intra-sample to Intra-view to Inter-view. - Jinghua Yang; Chuan Chen 001; Hong-Ning Dai; Meng Ding 002; Lele Fu; Zibin Zheng (CIKM, 2022)

Robust Tensor Graph Convolutional Networks via T-SVD based Graph Augmentation. - Zhebin Wu; Lin Shu; Ziyue Xu 002; Yaomin Chang; Chuan Chen 001; Zibin Zheng (KDD, 2022)

FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs. - Taolin Zhang 003; Chuan Chen 001; Yaomin Chang; Lin Shu; Zibin Zheng (CoRR, 2022)

Subspace-Contrastive Multi-View Clustering. - Lele Fu; Lei Zhang 183; Jinghua Yang; Chuan Chen 001; Chuanfu Zhang; Zibin Zheng (CoRR, 2022)

When Digital Economy Meets Web 3.0: Applications and Challenges. - Chuan Chen 001; Lei Zhang 183; Yihao Li; Tianchi Liao; Siran Zhao; Zibin Zheng; Huawei Huang; Jiajing Wu (CoRR, 2022)

Block term decomposition with distinct time granularities for temporal knowledge graph completion. - Yujing Lai; Chuan Chen 001; Zibin Zheng; Yangqing Zhang (Expert Syst. Appl., 2022)

HIN2Grid: A disentangled CNN-based framework for heterogeneous network learning. - Ziyang Zhang; Chuan Chen 001; Yaomin Chang; Weibo Hu; Zibin Zheng; Yuren Zhou; Lei Sun (Expert Syst. Appl., 2022)

Decentralized federated meta-learning framework for few-shot multitask learning. - Xiaoli Li 016; Yuzheng Li; Jining Wang; Chuan Chen 001; Liu Yang; Zibin Zheng (Int. J. Intell. Syst., 2022)

AHNA: Adaptive representation learning for attributed heterogeneous networks. - Lin Shu; Chuan Chen 001; Xingxing Xing; Xiangke Liao; Zibin Zheng (Int. J. Intell. Syst., 2022)

Consistent affinity representation learning with dual low-rank constraints for multi-view subspace clustering. - Lele Fu; Jieling Li; Chuan Chen 001 (Neurocomputing, 2022)

A Personalized Federated Tensor Factorization Framework for Distributed IoT Services QoS Prediction From Heterogeneous Data. - Xiaoli Li 016; Shixuan Li; Yuzheng Li; Yuren Zhou; Chuan Chen 001; Zibin Zheng (IEEE Internet Things J., 2022)

A Unified Federated DNNs Framework for Heterogeneous Mobile Devices. - Xiaoli Li 016; Yuzheng Li; Shixuan Li; Yuren Zhou; Chuan Chen 001; Zibin Zheng (IEEE Internet Things J., 2022)

Low-rank tensor approximation with local structure for multi-view intrinsic subspace clustering. - Lele Fu; Jinghua Yang; Chuan Chen 001; Chuanfu Zhang (Inf. Sci., 2022)

Predicting high-dimensional time series data with spatial, temporal and global information. - Jining Wang; Chuan Chen 001; Zibin Zheng; Luonan Chen; Yuren Zhou (Inf. Sci., 2022)

A structure noise-aware tensor dictionary learning method for high-dimensional data clustering. - Jinghua Yang; Chuan Chen 001; Hong-Ning Dai; Lele Fu; Zibin Zheng (Inf. Sci., 2022)

Megnn: Meta-path extracted graph neural network for heterogeneous graph representation learning. - Yaomin Chang; Chuan Chen 001; Weibo Hu; Zibin Zheng; Xiaocong Zhou; Shouzhi Chen (Knowl. Based Syst., 2022)

GraphRR: A multiplex Graph based Reciprocal friend Recommender system with applications on online gaming service. - Yaomin Chang; Lin Shu; Erxin Du; Chuan Chen 001; Ziyang Zhang; Zibin Zheng; Yuzhao Huang; Xingxing Xing (Knowl. Based Syst., 2022)

When Digital Economy Meets Web3.0: Applications and Challenges. - Chuan Chen 001; Lei Zhang 183; Yihao Li; Tianchi Liao; Siran Zhao; Zibin Zheng; Huawei Huang; Jiajing Wu (IEEE Open J. Comput. Soc., 2022)

QNG: A Quasi-Natural Gradient Method for Large-Scale Statistical Learning. - Xiaoyu He 001; Zibin Zheng; Yuren Zhou; Chuan Chen 001 (SIAM J. Optim., 2022)

A Decentralized Federated Learning Framework via Committee Mechanism With Convergence Guarantee. - Chunjiang Che; Xiaoli Li 016; Chuan Chen 001; Xiaoyu He 001; Zibin Zheng (IEEE Trans. Parallel Distributed Syst., 2022)

Distributed Evolution Strategies for Black-Box Stochastic Optimization. - Xiaoyu He 001; Zibin Zheng; Chuan Chen 001; Yuren Zhou; Chuan Luo 002; Qingwei Lin (IEEE Trans. Parallel Distributed Syst., 2022)

Who Are the Phishers? Phishing Scam Detection on Ethereum via Network Embedding. - Jiajing Wu; Qi Yuan; Dan Lin 007; Wei You; Weili Chen; Chuan Chen 001; Zibin Zheng (IEEE Trans. Syst. Man Cybern. Syst., 2022)

VFedAD: A Defense Method Based on the Information Mechanism Behind the Vertical Federated Data Poisoning Attack. - Jinrong Lai; Tong Wang; Chuan Chen 001; Yihao Li; Zibin Zheng (CIKM, 2023)

Mutual Information-Driven Multi-View Clustering. - Lei Zhang 183; Lele Fu; Tong Wang; Chuan Chen 001; Chuanfu Zhang (CIKM, 2023)

Capturing Fine-grained Semantics in Contrastive Graph Representation Learning. - Lin Shu; Chuan Chen 001; Zibin Zheng (CoRR, 2023)

Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond. - Chuan Chen 001; Zhenpeng Wu; Yanyi Lai; Wenlin Ou; Tianchi Liao; Zibin Zheng (CoRR, 2023)

Migrate Demographic Group For Fair GNNs. - Yanming Hu; Tianchi Liao; Jialong Chen; Chuan Chen 001; Jing Bian; Zibin Zheng (CoRR, 2023)

Contextual Dictionary Lookup for Knowledge Graph Completion. - Jining Wang; Delai Qiu; Youming Liu; Yining Wang; Chuan Chen 001; Zibin Zheng; Yuren Zhou (CoRR, 2023)

DsMtGCN: A Direction-sensitive Multi-task framework for Knowledge Graph Completion. - Jining Wang; Chuan Chen 001; Zibin Zheng; Yuren Zhou (CoRR, 2023)

Multi-Agent Deep Reinforcement Learning for Dynamic Avatar Migration in AIoT-enabled Vehicular Metaverses with Trajectory Prediction. - Junlong Chen; Jiawen Kang 001; Minrui Xu; Zehui Xiong; Dusit Niyato; Chuan Chen 001; Abbas Jamalipour; Shengli Xie (CoRR, 2023)

Community-Aware Efficient Graph Contrastive Learning via Personalized Self-Training. - Yuecheng Li; Yanming Hu; Lele Fu; Chuan Chen 001; Lei Yang 030; Zibin Zheng (CoRR, 2023)

VeryFL: A Verify Federated Learning Framework Embedded with Blockchain. - Yihao Li; Yanyi Lai; Chuan Chen 001; Zibin Zheng (CoRR, 2023)

Tokenized Model: A Blockchain-Empowered Decentralized Model Ownership Verification Platform. - Yihao Li; Yanyi Lai; Tianchi Liao; Chuan Chen 001; Zibin Zheng (CoRR, 2023)

Cross-view graph matching for incomplete multi-view clustering. - Jinghua Yang; Lele Fu; Chuan Chen 001; Hong-Ning Dai; Zibin Zheng (Neurocomputing, 2023)

Heterogeneity-aware fair federated learning. - Xiaoli Li 016; Siran Zhao; Chuan Chen 001; Zibin Zheng (Inf. Sci., 2023)

Towards Reliable Utilization of AIGC: Blockchain-Empowered Ownership Verification Mechanism. - Chuan Chen 001; Yihao Li; Zihou Wu; Mingfeng Xu; Rui Wang; Zibin Zheng (IEEE Open J. Comput. Soc., 2023)

A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection. - Yu Wang 280; Chuan Chen 001; Jinrong Lai; Lele Fu; Yuren Zhou; Zibin Zheng (ACM Trans. Knowl. Discov. Data, 2023)

SHNE: Semantics and Homophily Preserving Network Embedding. - Ziyang Zhang; Chuan Chen 001; Yaomin Chang; Weibo Hu; Xingxing Xing; Yuren Zhou; Zibin Zheng (IEEE Trans. Neural Networks Learn. Syst., 2023)

Tensor completion via convolutional sparse coding with small samples-based training. - Tianchi Liao; Zhebin Wu; Chuan Chen 001; Zibin Zheng; Xiongjun Zhang (Pattern Recognit., 2023)

Improving Message-Passing GNNs by Asynchronous Aggregation. - Jialong Chen; Tianchi Liao; Chuan Chen 001; Zibin Zheng (CIKM, 2024)

PROSPECT: Learn MLPs on Graphs Robust against Adversarial Structure Attacks. - Bowen Deng; Jialong Chen; Yanming Hu; Zhiyong Xu; Chuan Chen 001; Tao Zhang 096 (CIKM, 2024)

FedSeProto: Learning Semantic Prototype in Federated Learning. - Yanyi Lai; Lele Fu; Tianchi Liao; Chuan Chen 001; Zibin Zheng (ECAI, 2024)

Contrastive Deep Nonnegative Matrix Factorization For Community Detection. - Yuecheng Li; Jialong Chen; Chuan Chen 001; Lei Yang 030; Zibin Zheng (ICASSP, 2024)

A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm. - Tianchi Liao; Lele Fu; Jialong Chen; Zhen Wang 036; Zibin Zheng; Chuan Chen 001 (NeurIPS, 2024)

Privacy computing meets metaverse: Necessity, taxonomy and challenges. - Chuan Chen 001; Yuecheng Li; Zhenpeng Wu; Chengyuan Mai; Youming Liu; Yanming Hu; Jiawen Kang 001; Zibin Zheng (Ad Hoc Networks, 2024)

Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off. - Yuecheng Li; Tong Wang; Chuan Chen 001; Jian Lou; Bin Chen; Lei Yang 030; Zibin Zheng (CoRR, 2024)

FedBRB: An Effective Solution to the Small-to-Large Scenario in Device-Heterogeneity Federated Learning. - Ziyue Xu 002; Mingfeng Xu; Tianchi Liao; Zibin Zheng; Chuan Chen 001 (CoRR, 2024)

Advances in Robust Federated Learning: Heterogeneity Considerations. - Chuan Chen 001; Tianchi Liao; Xiaojun Deng; Zihou Wu; Sheng Huang; Zibin Zheng (CoRR, 2024)

MemHunter: Automated and Verifiable Memorization Detection at Dataset-scale in LLMs. - Zhenpeng Wu; Jian Lou; Zibin Zheng; Chuan Chen 001 (CoRR, 2024)

Migrate demographic group for fair Graph Neural Networks. - Yanming Hu; Tianchi Liao; Jialong Chen; Jing Bian; Zibin Zheng; Chuan Chen 001 (Neural Networks, 2024)

Data-free knowledge distillation via generator-free data generation for Non-IID federated learning. - Siran Zhao; Tianchi Liao; Lele Fu; Chuan Chen 001; Jing Bian; Zibin Zheng (Neural Networks, 2024)

Multiagent Deep Reinforcement Learning for Dynamic Avatar Migration in AIoT-Enabled Vehicular Metaverses With Trajectory Prediction. - Junlong Chen; Jiawen Kang 001; Minrui Xu; Zehui Xiong; Dusit Niyato; Chuan Chen 001; Abbas Jamalipour; Shengli Xie (IEEE Internet Things J., 2024)

FedGL: Federated graph learning framework with global self-supervision. - Chuan Chen 001; Ziyue Xu 002; Weibo Hu; Zibin Zheng; Jie Zhang (Inf. Sci., 2024)

A neural tensor decomposition model for high-order sparse data recovery. - Tianchi Liao; Jinghua Yang; Chuan Chen 001; Zibin Zheng (Inf. Sci., 2024)

FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs. - Taolin Zhang 003; Chengyuan Mai; Yaomin Chang; Chuan Chen 001; Lin Shu; Zibin Zheng (ACM Trans. Knowl. Discov. Data, 2024)

Information-aware Multi-view Outlier Detection. - Jinrong Lai; Tong Wang; Chuan Chen 001; Zibin Zheng (ACM Trans. Knowl. Discov. Data, 2024)

Robust Corrupted Data Recovery and Clustering via Generalized Transformed Tensor Low-Rank Representation. - Jing-Hua Yang; Chuan Chen 001; Hong-Ning Dai; Meng Ding 002; Zhebin Wu; Zibin Zheng (IEEE Trans. Neural Networks Learn. Syst., 2024)

Toward Few-Label Vertical Federated Learning. - Lei Zhang 183; Lele Fu; Chen Liu; Zhao Yang; Jinghua Yang; Zibin Zheng; Chuan Chen 001 (ACM Trans. Knowl. Discov. Data, 2024)

Decoupling Anomaly Discrimination and Representation Learning: Self-supervised Learning for Anomaly Detection on Attributed Graph. - Yanming Hu; Chuan Chen 001; Bowen Deng; Yujing Lai; Hao Lin; Zibin Zheng; Jing Bian (Data Sci. Eng., 2024)

Subspace-Contrastive Multi-View Clustering. - Lele Fu; Sheng Huang; Lei Zhang 183; Jinghua Yang; Zibin Zheng; Chuanfu Zhang; Chuan Chen 001 (ACM Trans. Knowl. Discov. Data, 2024)

Fine-Grained Semantics Enhanced Contrastive Learning for Graphs. - Youming Liu; Lin Shu; Chuan Chen 001; Zibin Zheng (IEEE Trans. Knowl. Data Eng., 2024)

THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings. - Bowen Deng; Tong Wang; Lele Fu; Sheng Huang; Chuan Chen 001; Tao Zhang 096 (AAAI, 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 001 (AAAI, 2025)

Robust and Efficient Clustered Federated Learning via Adaptive Self-Expressive Representations for Tackling Data Heterogeneity. - Wenlin Ou; Tianchi Liao; Chuan Chen 001 (ICIC (9), 2025)

Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective. - Jialong Chen; Bowen Deng; Zhen Wang 036; Chuan Chen 001; Zibin Zheng (ICLR, 2025)

Prototypical networks with unlabeled data for few-shot node classification. - Ningrui Wang; Yujing Lai; Chuan Chen 001; Zibin Zheng (Eng. Appl. Artif. Intell., 2025)

CoATR: A Convolutional Autoregressive Tensor-Ring decomposition method for sparse spatio-temporal traffic data. - Tianchi Liao; Lei Zhang 183; Jinghua Yang; Chuan Chen 001; Zibin Zheng (Neurocomputing, 2025)

Parameter-oriented contrastive schema and multi-level knowledge distillation for heterogeneous federated learning. - Lele Fu; Yuecheng Li; Sheng Huang; Chuan Chen 001; Chuanfu Zhang; Zibin Zheng (Inf. Fusion, 2025)

Mutual GNN-MLP distillation for robust graph adversarial defense. - Bowen Deng; Jialong Chen; Yanming Hu; Chuan Chen 001; Tao Zhang 096 (Neural Networks, 2025)

Learn the global prompt in the low-rank tensor space for heterogeneous federated learning. - Lele Fu; Sheng Huang; Yuecheng Li; Chuan Chen 001; Chuanfu Zhang; Zibin Zheng (Neural Networks, 2025)

Privacy-Preserving Vertical Federated Learning With Tensor Decomposition for Data Missing Features. - Tianchi Liao; Lele Fu; Lei Zhang 183; Lei Yang 030; Chuan Chen 001; Michael Kwok-Po Ng; Huawei Huang; Zibin Zheng (IEEE Trans. Inf. Forensics Secur., 2025)

FGTL: Federated Graph Transfer Learning for Node Classification. - Chengyuan Mai; Tianchi Liao; Chuan Chen 001; Zibin Zheng (ACM Trans. Knowl. Discov. Data, 2025)

Enhanced Scalable Graph Neural Network via Knowledge Distillation. - Chengyuan Mai; Yaomin Chang; Chuan Chen 001; Zibin Zheng (IEEE Trans. Neural Networks Learn. Syst., 2025)

A Cross-Client Coordinator in Federated Learning Framework for Conquering Heterogeneity. - Sheng Huang; Lele Fu; Yuecheng Li; Chuan Chen 001; Zibin Zheng; Hong-Ning Dai (IEEE Trans. Neural Networks Learn. Syst., 2025)

Advances in Robust Federated Learning: A Survey With Heterogeneity Considerations. - Chuan Chen 001; Tianchi Liao; Xiaojun Deng; Zihou Wu; Sheng Huang; Zibin Zheng (IEEE Trans. Big Data, 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 001 (IEEE Trans. Mob. Comput., 2025)