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Publications
- 2025
[j70]Ningrui Wang, Yujing Lai
, Chuan Chen, Zibin Zheng:
Prototypical networks with unlabeled data for few-shot node classification. Eng. Appl. Artif. Intell. 145: 110088 (2025)- [j69]Tianchi Liao, Lei Zhang, Jinghua Yang, Chuan Chen, Zibin Zheng:
CoATR: A Convolutional Autoregressive Tensor-Ring decomposition method for sparse spatio-temporal traffic data. Neurocomputing 617: 129006 (2025) - [j68]Lele Fu, Yuecheng Li, Sheng Huang, Chuan Chen, Chuanfu Zhang, Zibin Zheng:
Parameter-oriented contrastive schema and multi-level knowledge distillation for heterogeneous federated learning. Inf. Fusion 121: 103123 (2025) - [j67]Lele Fu, Sheng Huang, Yuecheng Li, Chuan Chen, Chuanfu Zhang, Zibin Zheng:
Learn the global prompt in the low-rank tensor space for heterogeneous federated learning. Neural Networks 187: 107319 (2025) - [j65]Chuan Chen, Tianchi Liao, Xiaojun Deng, Zihou Wu, Sheng Huang, Zibin Zheng:
Advances in Robust Federated Learning: A Survey With Heterogeneity Considerations. IEEE Trans. Big Data 11(3): 1548-1567 (2025) - [j64]Tianchi Liao, Lele Fu, Lei Zhang, Lei Yang, Chuan Chen, Michael Kwok-Po Ng, Huawei Huang, Zibin Zheng:
Privacy-Preserving Vertical Federated Learning With Tensor Decomposition for Data Missing Features. IEEE Trans. Inf. Forensics Secur. 20: 3445-3460 (2025) - [j63]Chengyuan Mai, Tianchi Liao, Chuan Chen, Zibin Zheng:
FGTL: Federated Graph Transfer Learning for Node Classification. ACM Trans. Knowl. Discov. Data 19(1): 8:1-8:20 (2025) - [j62]Chengyuan Mai, Yaomin Chang, Chuan Chen, Zibin Zheng:
Enhanced Scalable Graph Neural Network via Knowledge Distillation. IEEE Trans. Neural Networks Learn. Syst. 36(1): 1258-1271 (2025) - [j61]Sheng Huang, Lele Fu, Yuecheng Li, Chuan Chen, Zibin Zheng, Hong-Ning Dai:
A Cross-Client Coordinator in Federated Learning Framework for Conquering Heterogeneity. IEEE Trans. Neural Networks Learn. Syst. 36(5): 8828-8842 (2025) - [c33]Jialong Chen, Bowen Deng, Zhen Wang, Chuan Chen, Zibin Zheng:
Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective. ICLR 2025 - 2024
- [j60]Chuan Chen, Yuecheng Li, Zhenpeng Wu, Chengyuan Mai, Youming Liu, Yanming Hu, Jiawen Kang, Zibin Zheng:
Privacy computing meets metaverse: Necessity, taxonomy and challenges. Ad Hoc Networks 158: 103457 (2024) - [j59]Yanming Hu, Chuan Chen, Bowen Deng, Yujing Lai, Hao Lin, Zibin Zheng, Jing Bian:
Decoupling Anomaly Discrimination and Representation Learning: Self-supervised Learning for Anomaly Detection on Attributed Graph. Data Sci. Eng. 9(3): 264-277 (2024) - [j57]Chuan Chen, Ziyue Xu, Weibo Hu, Zibin Zheng, Jie Zhang:
FedGL: Federated graph learning framework with global self-supervision. Inf. Sci. 657: 119976 (2024) - [j56]Tianchi Liao, Jinghua Yang, Chuan Chen, Zibin Zheng:
A neural tensor decomposition model for high-order sparse data recovery. Inf. Sci. 658: 120024 (2024) - [j55]Yanming Hu, Tianchi Liao, Jialong Chen, Jing Bian, Zibin Zheng, Chuan Chen:
Migrate demographic group for fair Graph Neural Networks. Neural Networks 175: 106264 (2024) - [j54]Siran Zhao, Tianchi Liao, Lele Fu, Chuan Chen, Jing Bian, Zibin Zheng:
Data-free knowledge distillation via generator-free data generation for Non-IID federated learning. Neural Networks 179: 106627 (2024) - [j53]Taolin Zhang, Chengyuan Mai, Yaomin Chang, Chuan Chen, Lin Shu, Zibin Zheng:
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs. ACM Trans. Knowl. Discov. Data 18(2): 40:1-40:27 (2024) - [j52]Jinrong Lai, Tong Wang, Chuan Chen, Zibin Zheng:
Information-aware Multi-view Outlier Detection. ACM Trans. Knowl. Discov. Data 18(4): 98:1-98:16 (2024) - [j51]Lei Zhang, Lele Fu, Chen Liu, Zhao Yang, Jinghua Yang, Zibin Zheng, Chuan Chen:
Toward Few-Label Vertical Federated Learning. ACM Trans. Knowl. Discov. Data 18(7): 176 (2024) - [j50]Lele Fu, Sheng Huang, Lei Zhang, Jinghua Yang, Zibin Zheng, Chuanfu Zhang, Chuan Chen:
Subspace-Contrastive Multi-View Clustering. ACM Trans. Knowl. Discov. Data 18(9): 211:1-211:35 (2024) - [j49]Youming Liu, Lin Shu, Chuan Chen, Zibin Zheng:
Fine-Grained Semantics Enhanced Contrastive Learning for Graphs. IEEE Trans. Knowl. Data Eng. 36(12): 8238-8250 (2024) - [j48]Jing-Hua Yang, Chuan Chen, Hong-Ning Dai, Meng Ding, Zhebin Wu, Zibin Zheng:
Robust Corrupted Data Recovery and Clustering via Generalized Transformed Tensor Low-Rank Representation. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8839-8853 (2024) - [c32]Jialong Chen, Tianchi Liao, Chuan Chen, Zibin Zheng:
Improving Message-Passing GNNs by Asynchronous Aggregation. CIKM 2024: 228-238 - [c30]Yanyi Lai, Lele Fu, Tianchi Liao, Chuan Chen, Zibin Zheng:
FedSeProto: Learning Semantic Prototype in Federated Learning. ECAI 2024: 2122-2129 - [c29]Yuecheng Li, Jialong Chen, Chuan Chen, Lei Yang, Zibin Zheng:
Contrastive Deep Nonnegative Matrix Factorization For Community Detection. ICASSP 2024: 6725-6729 - [c28]Tianchi Liao, Lele Fu, Jialong Chen, Zhen Wang, Zibin Zheng, Chuan Chen:
A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm. NeurIPS 2024 - [i30]Yuecheng Li, Tong Wang, Chuan Chen, Jian Lou, Bin Chen, Lei Yang, Zibin Zheng:
Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off. CoRR abs/2402.07002 (2024) - [i29]Ziyue Xu, Mingfeng Xu, Tianchi Liao, Zibin Zheng, Chuan Chen:
FedBRB: An Effective Solution to the Small-to-Large Scenario in Device-Heterogeneity Federated Learning. CoRR abs/2402.17202 (2024) - [i28]Chuan Chen, Tianchi Liao, Xiaojun Deng, Zihou Wu, Sheng Huang, Zibin Zheng:
Advances in Robust Federated Learning: Heterogeneity Considerations. CoRR abs/2405.09839 (2024) - [i27]Zhenpeng Wu, Jian Lou, Zibin Zheng, Chuan Chen:
MemHunter: Automated and Verifiable Memorization Detection at Dataset-scale in LLMs. CoRR abs/2412.07261 (2024) - 2023
- [j47]Jinghua Yang, Lele Fu, Chuan Chen, Hong-Ning Dai, Zibin Zheng:
Cross-view graph matching for incomplete multi-view clustering. Neurocomputing 515: 79-88 (2023) - [j46]Xiaoli Li, Siran Zhao, Chuan Chen, Zibin Zheng:
Heterogeneity-aware fair federated learning. Inf. Sci. 619: 968-986 (2023) - [j45]Chuan Chen, Yihao Li, Zihou Wu, Mingfeng Xu, Rui Wang, Zibin Zheng:
Towards Reliable Utilization of AIGC: Blockchain-Empowered Ownership Verification Mechanism. IEEE Open J. Comput. Soc. 4: 326-337 (2023) - [j44]Tianchi Liao, Zhebin Wu, Chuan Chen, Zibin Zheng, Xiongjun Zhang:
Tensor completion via convolutional sparse coding with small samples-based training. Pattern Recognit. 141: 109624 (2023) - [j43]Yu Wang, Chuan Chen, Jinrong Lai, Lele Fu, Yuren Zhou, Zibin Zheng:
A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection. ACM Trans. Knowl. Discov. Data 17(1): 2:1-2:20 (2023) - [j42]Ziyang Zhang, Chuan Chen, Yaomin Chang, Weibo Hu, Xingxing Xing, Yuren Zhou, Zibin Zheng:
SHNE: Semantics and Homophily Preserving Network Embedding. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4296-4307 (2023) - [c27]Jinrong Lai, Tong Wang, Chuan Chen, Yihao Li, Zibin Zheng:
VFedAD: A Defense Method Based on the Information Mechanism Behind the Vertical Federated Data Poisoning Attack. CIKM 2023: 1148-1157 - [i25]Yanming Hu, Chuan Chen, Bowen Deng, Yujing Lai, Hao Lin, Zibin Zheng, Jing Bian:
Decoupling anomaly discrimination and representation learning: self-supervised learning for anomaly detection on attributed graph. CoRR abs/2304.05176 (2023) - [i24]Chuan Chen, Yuecheng Li, Zhenpeng Wu, Chengyuan Mai, Youming Liu, Yanming Hu, Zibin Zheng, Jiawen Kang:
Privacy Computing Meets Metaverse: Necessity, Taxonomy and Challenges. CoRR abs/2304.11643 (2023) - [i23]Lin Shu, Chuan Chen, Zibin Zheng:
Capturing Fine-grained Semantics in Contrastive Graph Representation Learning. CoRR abs/2304.11658 (2023) - [i22]Chuan Chen, Zhenpeng Wu, Yanyi Lai, Wenlin Ou, Tianchi Liao, Zibin Zheng:
Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond. CoRR abs/2306.00419 (2023) - [i21]Yanming Hu, Tianchi Liao, Jialong Chen, Chuan Chen, Jing Bian, Zibin Zheng:
Migrate Demographic Group For Fair GNNs. CoRR abs/2306.04212 (2023) - [i20]Jining Wang, Delai Qiu, Youming Liu, Yining Wang, Chuan Chen, Zibin Zheng, Yuren Zhou:
Contextual Dictionary Lookup for Knowledge Graph Completion. CoRR abs/2306.07719 (2023) - [i19]Jining Wang, Chuan Chen, Zibin Zheng, Yuren Zhou:
DsMtGCN: A Direction-sensitive Multi-task framework for Knowledge Graph Completion. CoRR abs/2306.10290 (2023) - [i17]Yuecheng Li, Jialong Chen, Chuan Chen, Lei Yang, Zibin Zheng:
Contrastive Deep Nonnegative Matrix Factorization for Community Detection. CoRR abs/2311.02357 (2023) - [i16]Yuecheng Li, Yanming Hu, Lele Fu, Chuan Chen, Lei Yang, Zibin Zheng:
Community-Aware Efficient Graph Contrastive Learning via Personalized Self-Training. CoRR abs/2311.11073 (2023) - [i15]Yihao Li, Yanyi Lai, Chuan Chen, Zibin Zheng:
VeryFL: A Verify Federated Learning Framework Embedded with Blockchain. CoRR abs/2311.15617 (2023) - [i14]Yihao Li, Yanyi Lai, Tianchi Liao, Chuan Chen, Zibin Zheng:
Tokenized Model: A Blockchain-Empowered Decentralized Model Ownership Verification Platform. CoRR abs/2312.00048 (2023) - 2022
- [j41]Ziyang Zhang, Chuan Chen, Yaomin Chang, Weibo Hu, Zibin Zheng, Yuren Zhou, Lei Sun:
HIN2Grid: A disentangled CNN-based framework for heterogeneous network learning. Expert Syst. Appl. 187: 115823 (2022) - [j40]Yujing Lai, Chuan Chen, Zibin Zheng, Yangqing Zhang:
Block term decomposition with distinct time granularities for temporal knowledge graph completion. Expert Syst. Appl. 201: 117036 (2022) - [j39]Lin Shu, Chuan Chen, Xingxing Xing, Xiangke Liao, Zibin Zheng:
AHNA: Adaptive representation learning for attributed heterogeneous networks. Int. J. Intell. Syst. 37(2): 1157-1185 (2022) - [j38]Xiaoli Li, Yuzheng Li, Jining Wang, Chuan Chen, Liu Yang, Zibin Zheng:
Decentralized federated meta-learning framework for few-shot multitask learning. Int. J. Intell. Syst. 37(11): 8490-8522 (2022) - [j36]Xiaoli Li, Yuzheng Li, Shixuan Li, Yuren Zhou, Chuan Chen, Zibin Zheng:
A Unified Federated DNNs Framework for Heterogeneous Mobile Devices. IEEE Internet Things J. 9(3): 1737-1748 (2022) - [j35]Xiaoli Li, Shixuan Li, Yuzheng Li, Yuren Zhou, Chuan Chen, Zibin Zheng:
A Personalized Federated Tensor Factorization Framework for Distributed IoT Services QoS Prediction From Heterogeneous Data. IEEE Internet Things J. 9(24): 25460-25473 (2022) - [j33]Jining Wang, Chuan Chen, Zibin Zheng, Luonan Chen, Yuren Zhou:
Predicting high-dimensional time series data with spatial, temporal and global information. Inf. Sci. 607: 477-492 (2022) - [j32]Jinghua Yang, Chuan Chen, Hong-Ning Dai, Lele Fu, Zibin Zheng:
A structure noise-aware tensor dictionary learning method for high-dimensional data clustering. Inf. Sci. 612: 87-106 (2022) - [j31]Yaomin Chang, Chuan Chen, Weibo Hu, Zibin Zheng, Xiaocong Zhou, Shouzhi Chen:
Megnn: Meta-path extracted graph neural network for heterogeneous graph representation learning. Knowl. Based Syst. 235: 107611 (2022) - [j30]Yaomin Chang, Lin Shu, Erxin Du, Chuan Chen, Ziyang Zhang, Zibin Zheng, Yuzhao Huang, Xingxing Xing:
GraphRR: A multiplex Graph based Reciprocal friend Recommender system with applications on online gaming service. Knowl. Based Syst. 251: 109187 (2022) - [j29]Chuan Chen, Lei Zhang, Yihao Li, Tianchi Liao, Siran Zhao, Zibin Zheng, Huawei Huang, Jiajing Wu:
When Digital Economy Meets Web3.0: Applications and Challenges. IEEE Open J. Comput. Soc. 3: 233-245 (2022) - [j28]Xiaoyu He, Zibin Zheng, Yuren Zhou, Chuan Chen:
QNG: A Quasi-Natural Gradient Method for Large-Scale Statistical Learning. SIAM J. Optim. 32(1): 228-255 (2022) - [j27]Xiaoyu He, Zibin Zheng, Chuan Chen, Yuren Zhou, Chuan Luo, Qingwei Lin:
Distributed Evolution Strategies for Black-Box Stochastic Optimization. IEEE Trans. Parallel Distributed Syst. 33(10): 3718-3731 (2022) - [j26]Chunjiang Che, Xiaoli Li, Chuan Chen, Xiaoyu He, Zibin Zheng:
A Decentralized Federated Learning Framework via Committee Mechanism With Convergence Guarantee. IEEE Trans. Parallel Distributed Syst. 33(12): 4783-4800 (2022) - [j25]Jiajing Wu, Qi Yuan, Dan Lin, Wei You, Weili Chen, Chuan Chen, Zibin Zheng:
Who Are the Phishers? Phishing Scam Detection on Ethereum via Network Embedding. IEEE Trans. Syst. Man Cybern. Syst. 52(2): 1156-1166 (2022) - [c25]Jinghua Yang, Chuan Chen, Hong-Ning Dai, Meng Ding, Lele Fu, Zibin Zheng:
Hierarchical Representation for Multi-view Clustering: From Intra-sample to Intra-view to Inter-view. CIKM 2022: 2362-2371 - [c24]Zhebin Wu, Lin Shu, Ziyue Xu, Yaomin Chang, Chuan Chen, Zibin Zheng:
Robust Tensor Graph Convolutional Networks via T-SVD based Graph Augmentation. KDD 2022: 2090-2099 - [i13]Xiaoyu He, Zibin Zheng, Chuan Chen, Yuren Zhou, Chuan Luo, Qingwei Lin:
Distributed Evolution Strategies for Black-box Stochastic Optimization. CoRR abs/2204.04450 (2022) - [i12]Taolin Zhang, Chuan Chen, Yaomin Chang, Lin Shu, Zibin Zheng:
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs. CoRR abs/2208.13685 (2022) - [i11]Lele Fu, Lei Zhang, Jinghua Yang, Chuan Chen, Chuanfu Zhang, Zibin Zheng:
Subspace-Contrastive Multi-View Clustering. CoRR abs/2210.06795 (2022) - [i10]Chuan Chen, Lei Zhang, Yihao Li, Tianchi Liao, Siran Zhao, Zibin Zheng, Huawei Huang, Jiajing Wu:
When Digital Economy Meets Web 3.0: Applications and Challenges. CoRR abs/2210.08993 (2022) - 2021
- [j24]Weibo Hu, Chuan Chen, Yaomin Chang, Zibin Zheng, Yunfei Du:
Robust graph convolutional networks with directional graph adversarial training. Appl. Intell. 51(11): 7812-7826 (2021) - [j23]Chuan Chen, Zhebin Wu, Zitai Chen, Zibin Zheng, Xiongjun Zhang:
Auto-weighted robust low-rank tensor completion via tensor-train. Inf. Sci. 567: 100-115 (2021) - [j22]Weibo Hu, Chuan Chen, Fanghua Ye, Zibin Zheng, Yunfei Du:
Learning deep discriminative representations with pseudo supervision for image clustering. Inf. Sci. 568: 199-215 (2021) - [j21]Yuzheng Li, Chuan Chen, Nan Liu, Huawei Huang, Zibin Zheng, Qiang Yan:
A Blockchain-Based Decentralized Federated Learning Framework with Committee Consensus. IEEE Netw. 35(1): 234-241 (2021) - [c23]Lin Shu, Erxin Du, Yaomin Chang, Chuan Chen, Zibin Zheng, Xingxing Xing, Shaofeng Shen:
SGCL: Contrastive Representation Learning for Signed Graphs. CIKM 2021: 1671-1680 - [c22]Dalong Yang, Chuan Chen, Youhao Zheng, Zibin Zheng, Shih-wei Liao:
Node2Grids: A Cost-Efficient Uncoupled Training Framework for Large-Scale Graph Learning. CIKM 2021: 2281-2290 - [c21]Fanghua Ye, Zhiwei Lin, Chuan Chen, Zibin Zheng, Hong Huang:
Outlier-Resilient Web Service QoS Prediction. WWW 2021: 3099-3110 - [i9]Chuan Chen, Weibo Hu, Ziyue Xu, Zibin Zheng:
FedGL: Federated Graph Learning Framework with Global Self-Supervision. CoRR abs/2105.03170 (2021) - [i8]Chunjiang Che, Xiaoli Li, Chuan Chen, Xiaoyu He, Zibin Zheng:
A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee. CoRR abs/2108.00365 (2021) - 2020
- [j20]Haibo Mi, Kele Xu, Dawei Feng, Huaimin Wang, Yiming Zhang, Zibin Zheng, Chuan Chen, Xu Lan:
Collaborative deep learning across multiple data centers. Sci. China Inf. Sci. 63(8): 1-11 (2020) - [j19]Chuan Chen, Yuzheng Li, Hui Qian, Zibin Zheng, Yanqing Hu:
Multi-view semi-supervised learning for classification on dynamic networks. Knowl. Based Syst. 195: 105698 (2020) - [j18]Chuan Chen, Yu Wang, Weibo Hu, Zibin Zheng:
Robust multi-view k-means clustering with outlier removal. Knowl. Based Syst. 210: 106518 (2020) - [j17]Fanghua Ye, Chuan Chen, Zhiyuan Wen, Zibin Zheng, Wuhui Chen, Yuren Zhou:
Homophily Preserving Community Detection. IEEE Trans. Neural Networks Learn. Syst. 31(8): 2903-2915 (2020) - [j16]Jie Huang, Chuan Chen, Fanghua Ye, Weibo Hu, Zibin Zheng:
Nonuniform Hyper-Network Embedding with Dual Mechanism. ACM Trans. Inf. Syst. 38(3): 28:1-28:18 (2020) - [c20]Yangjun Xu, Liang Chen, Fenfang Xie, Weibo Hu, Jieming Zhu, Chuan Chen, Zibin Zheng:
Directional Adversarial Training for Recommender Systems. ECAI 2020: 553-560 - [i7]Dalong Yang, Chuan Chen, Youhao Zheng, Zibin Zheng:
A Flexible Framework for Large Graph Learning. CoRR abs/2003.09638 (2020) - [i6]Yuzheng Li, Chuan Chen, Nan Liu, Huawei Huang, Zibin Zheng, Qiang Yan:
A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus. CoRR abs/2004.00773 (2020) - [i5]Fanghua Ye, Zhiwei Lin, Chuan Chen, Zibin Zheng, Hong Huang, Emine Yilmaz:
Outlier Resilient Collaborative Web Service QoS Prediction. CoRR abs/2006.01287 (2020) - [i4]Zhebin Wu, Chuan Chen, Cong Liu, Zibin Zheng:
Tensor Completion via Few-shot Convolutional Sparse Coding. CoRR abs/2012.00944 (2020) - 2019
- [j15]Shenghui Li, Wuhui Chen, Yufen Chen, Chuan Chen, Zibin Zheng:
Makespan-minimized computation offloading for smart toys in edge-cloud computing. Electron. Commer. Res. Appl. 37 (2019) - [j14]Li Rui Jie, Fanghua Ye, Shaoan Xie, Chuan Chen, Zibin Zheng:
Digging into it: Community detection via hidden attributes analysis. Neurocomputing 331: 97-107 (2019) - [j13]Chuan Chen, Hui Qian, Wuhui Chen, Zibin Zheng, Hong Zhu:
Auto-weighted multi-view constrained spectral clustering. Neurocomputing 366: 1-11 (2019) - [j12]Wuhui Chen, Zhen Zhang, Zicong Hong, Chuan Chen, Jiajing Wu, Sabita Maharjan, Zibin Zheng, Yan Zhang:
Cooperative and Distributed Computation Offloading for Blockchain-Empowered Industrial Internet of Things. IEEE Internet Things J. 6(5): 8433-8446 (2019) - [j11]Pairui Li, Chuan Chen, Wujie Zheng, Yuetang Deng, Fanghua Ye, Zibin Zheng:
STD: An Automatic Evaluation Metric for Machine Translation Based on Word Embeddings. IEEE ACM Trans. Audio Speech Lang. Process. 27(10): 1497-1506 (2019) - [j9]Chuan Chen, Jiajing Wu, Hui Lin, Wuhui Chen, Zibin Zheng:
A Secure and Efficient Blockchain-Based Data Trading Approach for Internet of Vehicles. IEEE Trans. Veh. Technol. 68(9): 9110-9121 (2019) - [c18]Zitai Chen, Chuan Chen, Zibin Zheng, Yi Zhu:
Tensor Decomposition for Multilayer Networks Clustering. AAAI 2019: 3371-3378 - [c17]Xiaoli Li, Erxin Du, Chuan Chen, Zibin Zheng, Ting Cai, Qiang Yan:
Blockchain-Based Credible and Privacy-Preserving QoS-Aware Web Service Recommendation. BlockSys 2019: 621-635 - [c16]Jie Huang, Chuan Chen, Fanghua Ye, Jiajing Wu, Zibin Zheng, Guohui Ling:
Hyper2vec: Biased Random Walk for Hyper-network Embedding. DASFAA (3) 2019: 273-277 - [c15]Weibo Hu, Chuan Chen, Fanghua Ye, Zibin Zheng, Guohui Ling:
Nonnegative Spectral Clustering for Large-Scale Semi-supervised Learning. DASFAA (3) 2019: 287-291 - [c14]Yuzheng Li, Chuan Chen, Fanghua Ye, Zibin Zheng, Guohui Ling:
A Semi-supervised Classification Approach for Multiple Time-Varying Networks with Total Variation. DASFAA (3) 2019: 334-337 - [c13]Zitai Chen, Tongzhao Cai, Chuan Chen, Zibin Zheng, Guohui Ling:
SINE: Side Information Network Embedding. DASFAA (1) 2019: 692-708 - [c12]Fanghua Ye, Chuan Chen, Zibin Zheng, Rong-Hua Li, Jeffrey Xu Yu:
Discrete Overlapping Community Detection with Pseudo Supervision. ICDM 2019: 708-717 - [c11]Zitai Chen, Chuan Chen, Zong Zhang, Zibin Zheng, Qingsong Zou:
Variational Graph Embedding and Clustering with Laplacian Eigenmaps. IJCAI 2019: 2144-2150 - [c10]Wanshan Zheng, Zibin Zheng, Hai Wan, Chuan Chen:
Dynamically Route Hierarchical Structure Representation to Attentive Capsule for Text Classification. IJCAI 2019: 5464-5470 - [c9]Weili Chen, Jun Wu, Zibin Zheng, Chuan Chen, Yuren Zhou:
Market Manipulation of Bitcoin: Evidence from Mining the Mt. Gox Transaction Network. INFOCOM 2019: 964-972 - [i3]Weili Chen, Jun Wu, Zibin Zheng, Chuan Chen, Yuren Zhou:
Market Manipulation of Bitcoin: Evidence from Mining the Mt. Gox Transaction Network. CoRR abs/1902.01941 (2019) - [i2]Jiajing Wu, Qi Yuan, Dan Lin, Wei You, Weili Chen, Chuan Chen, Zibin Zheng:
Who Are the Phishers? Phishing Scam Detection on Ethereum via Network Embedding. CoRR abs/1911.09259 (2019) - 2018
- [j8]Fanghua Ye, Jiahao Liu, Chuan Chen, Guohui Ling, Zibin Zheng, Yuren Zhou:
Identifying Influential Individuals on Large-Scale Social Networks: A Community Based Approach. IEEE Access 6: 47240-47257 (2018) - [j7]Zhiwei Lin, Fanghua Ye, Chuan Chen, Zibin Zheng:
BGN: Identifying Influential Nodes in Complex Networks via Backward Generating Networks. IEEE Access 6: 59949-59962 (2018) - [c8]Fanghua Ye, Chuan Chen, Zibin Zheng:
Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection. CIKM 2018: 1393-1402 - [c7]Fanghua Ye, Shenghui Li, Zhiwei Lin, Chuan Chen, Zibin Zheng:
Adaptive Affinity Learning for Accurate Community Detection. ICDM 2018: 1374-1379 - [c6]Shaoan Xie, Zibin Zheng, Liang Chen, Chuan Chen:
Learning Semantic Representations for Unsupervised Domain Adaptation. ICML 2018: 5419-5428 - [c5]Fenfang Xie, Liang Chen, Dongding Lin, Chuan Chen, Zibin Zheng, Xiaola Lin:
Group preference based API recommendation via heterogeneous information network. ICSE (Companion Volume) 2018: 362-363 - [c4]Fanghua Ye, Chuan Chen, Jie Zhang, Jiajing Wu, Zibin Zheng:
An Adaptive Semi-local Algorithm for Node Ranking in Large Complex Networks. ICSOC 2018: 505-514 - [i1]Kele Xu, Haibo Mi, Dawei Feng, Huaimin Wang, Chuan Chen, Zibin Zheng, Xu Lan:
Collaborative Deep Learning Across Multiple Data Centers. CoRR abs/1810.06877 (2018) - 2017
- [c3]Fanghua Ye, Zibin Zheng, Chuan Chen, Yuren Zhou:
DC-RSF: A Dynamic and Customized Reputation System Framework for Joint Cloud Computing. ICDCS Workshops 2017: 275-279 - [c2]Yaoming Wu, Fenfang Xie, Liang Chen, Chuan Chen, Zibin Zheng:
An Embedding Based Factorization Machine Approach for Web Service QoS Prediction. ICSOC 2017: 272-286 - [c1]Fanghua Ye, Jiahao Liu, Chuan Chen, Guohui Ling, Zibin Zheng, Yuren Zhou:
Efficient Influential Individuals Discovery on Service-Oriented Social Networks: A Community-Based Approach. ICSOC 2017: 605-613
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last updated on 2025-06-16 21:09 CEST by the dblp team
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