IEEE Transactions on Big Data, Volume 10 (original) (raw)

default search action

• combined dblp search
• author search
• venue search
• publication search

Authors:

• no matches
• 

Venues:

• no matches
• 

Publications:

• no matches
• 

• > Home > Journals > IEEE Transactions on Big Data

SPARQL queries

Refine list

refinements active!

zoomed in on ?? of ?? records

view refined list in

export refined list as

Volume 10, Number 1, February 2024

• 
  • 
  • 
  • 
  • 
    Xingyu Cao, Xiangtao Zhang, Ce Zhu, Jiani Liu, Yipeng Liu:
    TS-RTPM-Net: Data-Driven Tensor Sketching for Efficient CP Decomposition. 1-11
• 
  • 
  • 
  • 
  • 
    Meng Wang, Yanhao Yang, David Bindel, Kun He:
    Streaming Local Community Detection Through Approximate Conductance. 12-22
• 
  • 
  • 
  • 
  • 
    Zihao Wang, Ming Jiang, Junli Wang:
    PHAED: A Speaker-Aware Parallel Hierarchical Attentive Encoder-Decoder Model for Multi-Turn Dialogue Generation. 23-34
• 
  • 
  • 
  • 
  • 
    Han Wu, Guanqi Zhu, Qi Liu, Hengshu Zhu, Hao Wang, Hongke Zhao, Chuanren Liu, Enhong Chen, Hui Xiong:
    A Multi-Aspect Neural Tensor Factorization Framework for Patent Litigation Prediction. 35-54
• 
  • 
  • 
  • 
  • 
    Naiyao Liang, Zuyuan Yang, Junhang Chen, Zhenni Li, Shengli Xie:
    Label-Weighted Graph-Based Learning for Semi-Supervised Classification Under Label Noise. 55-65
• 
  • 
  • 
  • 
  • 
    Qingtian Zeng, Shuai Guo, Rui Cao, Ziqi Zhao, Hua Duan:
    Legal Transition Sequence Recognition of a Bounded Petri Net Using a Gate Recurrent Unit. 66-76
• 
  • 
  • 
  • 
  • 
    Jinghuan Lao, Dong Huang, Chang-Dong Wang, Jian-Huang Lai:
    Towards Scalable Multi-View Clustering via Joint Learning of Many Bipartite Graphs. 77-91
• 
  • 
  • 
  • 
  • 
    Wen Qin, Xin Luo, MengChu Zhou:
    Adaptively-Accelerated Parallel Stochastic Gradient Descent for High-Dimensional and Incomplete Data Representation Learning. 92-107

Volume 10, Number 2, April 2024

• 
  • 
  • 
  • 
  • 
    Changyong Yu, Tianmei Ren, Wenyu Li, Huimin Liu, Haitao Ma, Yuhai Zhao:
    BL: An Efficient Index for Reachability Queries on Large Graphs. 108-121
• 
  • 
  • 
  • 
  • 
    Wenrui Li, Xiaoyu Wang, Yuetian Sun, Snezana Milanovic, Mark A. Kon, Julio Enrique Castrillón-Candás:
    Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records. 122-131
• 
  • 
  • 
  • 
  • 
    Li Li, Chuanqi Tao, Hongjing Guo, Jingxuan Zhang, Xiaobing Sun:
    FATS: Feature Distribution Analysis-Based Test Selection for Deep Learning Enhancement. 132-145
• 
  • 
  • 
  • 
  • 
    Yunguo Guan, Rongxing Lu, Songnian Zhang, Yandong Zheng, Jun Shao, Guiyi Wei:
    Efficient and Privacy-Preserving Aggregate Query Over Public Property Graphs. 146-157
• 
  • 
  • 
  • 
  • 
    Yongli Cheng, Yan Ma, Hong Jiang, Lingfang Zeng, Fang Wang, Xianghao Xu, Yuhang Wu:
    TgStore: An Efficient Storage System for Large Time-Evolving Graphs. 158-173
• 
  • 
  • 
  • 
  • 
    Huanghuang Liang, Zheng Zhang, Chuang Hu, Yili Gong, Dazhao Cheng:
    A Survey on Spatio-Temporal Big Data Analytics Ecosystem: Resource Management, Processing Platform, and Applications. 174-193
• 
  • 
  • 
  • 
  • 
    Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif, Boyu Wang, Qiang Yang:
    Decentralized Federated Learning: A Survey on Security and Privacy. 194-213

Volume 10, Number 3, June 2024

• 
  • 
  • 
  • 
  • 
    Youcef Djenouri, Ahmed Nabil Belbachir, Tomasz P. Michalak, Gautam Srivastava:
    A Federated Convolution Transformer for Fake News Detection. 214-225
• 
  • 
  • 
  • 
  • 
    Chaoyu Gong, Jim Demmel, Yang You:
    Scalable Evidential K-Nearest Neighbor Classification on Big Data. 226-237
• 
  • 
  • 
  • 
  • 
    Seungeun Oh, Hyelin Nam, Jihong Park, Praneeth Vepakomma, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim:
    Mix2SFL: Two-Way Mixup for Scalable, Accurate, and Communication-Efficient Split Federated Learning. 238-248
• 
  • 
  • 
  • 
  • 
    Yu Shi, Xi Zhang, Yuming Shang, Ning Yu:
    Don't Be Misled by Emotion! Disentangle Emotions and Semantics for Cross-Language and Cross-Domain Rumor Detection. 249-259
• 
  • 
  • 
  • 
  • 
    Rui Chen, Yongqiang Tang, Xiangrui Cai, Xiaojie Yuan, Wenlong Feng, Wensheng Zhang:
    Graph Structure Aware Contrastive Multi-View Clustering. 260-274
• 
  • 
  • 
  • 
  • 
    Yaojin Lin, Yulin Li, Chenxi Wang, Lei Guo, Jinkun Chen:
    Label Distribution Learning Based on Horizontal and Vertical Mining of Label Correlations. 275-287
• 
  • 
  • 
  • 
  • 
    Xiaodong Li, Pangjing Wu, Chenxin Zou, Qing Li:
    Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization. 288-300
• 
  • 
  • 
  • 
  • 
    Yanhui Zhu, Fang Hu, Lei Hsin Kuo, Jia Liu:
    SCOREH+: A High-Order Node Proximity Spectral Clustering on Ratios-of-Eigenvectors Algorithm for Community Detection. 301-312
• 
  • 
  • 
  • 
  • 
    Meiting Xue, Zian Zhou, Pengfei Jiao, Huijun Tang:
    Fine-Tuned Personality Federated Learning for Graph Data. 313-319

Volume 10, Number 4, August 2024

• 
  • 
  • 
  • 
  • 
    Lei Wang, Leon Wong, Zhu-Hong You, De-Shuang Huang:
    AMDECDA: Attention Mechanism Combined With Data Ensemble Strategy for Predicting CircRNA-Disease Association. 320-329
• 
  • 
  • 
  • 
  • 
    Lu Guo, Limin Wang, Qilong Li, Kuo Li:
    Learning Balanced Bayesian Classifiers From Labeled and Unlabeled Data. 330-342
• 
  • 
  • 
  • 
  • 
    Ghulam Mujtaba, Sunder Ali Khowaja, Muhammad Aslam Jarwar, Jaehyuk Choi, Eun-Seok Ryu:
    FRC-GIF: Frame Ranking-Based Personalized Artistic Media Generation Method for Resource Constrained Devices. 343-355
• 
  • 
  • 
  • 
  • 
    Xin Liu, Jiuluan Lv, Feng Chen, Qingjie Wei, Hangxuan He, Ying Qian:
    Multi-Party Federated Recommendation Based on Semi-Supervised Learning. 356-370
• 
  • 
  • 
  • 
  • 
    Yibing Bai, Zhenqiu Shu, Jun Yu, Zhengtao Yu, Xiao-Jun Wu:
    Proxy-Based Graph Convolutional Hashing for Cross-Modal Retrieval. 371-385
• 
  • 
  • 
  • 
  • 
    Zhi-Long Han, Ting-Zhu Huang, Xi-Le Zhao, Hao Zhang, Yun-Yang Liu:
    Multi-Dimensional Data Recovery via Feature-Based Fully-Connected Tensor Network Decomposition. 386-399
• 
  • 
  • 
  • 
  • 
    Jianghe Cai, Yuhui Deng, Yi Zhou, Jiande Huang, Geyong Min:
    FIG: Feature-Weighted Information Granules With High Consistency Rate. 400-414
• 
  • 
  • 
  • 
  • 
    Xiao Zhang, Zhaoqian He, Jinhai Li, Changlin Mei, Yanyan Yang:
    Bi-Selection of Instances and Features Based on Neighborhood Importance Degree. 415-428
• 
  • 
  • 
  • 
  • 
    Yifei Yang, Xiaoke Ma:
    Graph Contrastive Learning for Clustering of Multi-Layer Networks. 429-441
• 
  • 
  • 
  • 
  • 
    Shujing Yang, Fuyuan Cao, Kui Yu, Jiye Liang:
    Learning Causal Chain Graph Structure via Alternate Learning and Double Pruning. 442-456
• 
  • 
  • 
  • 
  • 
    Wenjun Ma, Yibing Zhao, Xiaomao Fan:
    Cascaded Knowledge-Level Fusion Network for Online Course Recommendation System. 457-469
• 
  • 
  • 
  • 
  • 
    Peng Zhou, Yunyun Zhang, Zhaolong Ling, Yuanting Yan, Shu Zhao, Xindong Wu:
    Online Heterogeneous Streaming Feature Selection Without Feature Type Information. 470-485
• 
  • 
  • 
  • 
  • 
    Yuling Su, Hong Zhao, Yifeng Zheng, Yu Wang:
    Few-Shot Learning With Multi-Granularity Knowledge Fusion and Decision-Making. 486-497
• 
  • 
  • 
  • 
  • 
    Guoxiang Tong, Quanquan Li, Yan Song:
    Enhanced Multi-Scale Features Mutual Mapping Fusion Based on Reverse Knowledge Distillation for Industrial Anomaly Detection and Localization. 498-513
• 
  • 
  • 
  • 
  • 
    Xingbo Liu, Jiamin Li, Xiushan Nie, Xuening Zhang, Shaohua Wang, Yilong Yin:
    Scalable Unsupervised Hashing via Exploiting Robust Cross-Modal Consistency. 514-527
• 
  • 
  • 
  • 
  • 
    Xinxin Hu, Haotian Chen, Junjie Zhang, Hongchang Chen, Shuxin Liu, Xing Li, Yahui Wang, Xiangyang Xue:
    GAT-COBO: Cost-Sensitive Graph Neural Network for Telecom Fraud Detection. 528-542
• 
  • 
  • 
  • 
  • 
    Dawei Dai, Yingge Liu, Yutang Li, Shiyu Fu, Shuyin Xia, Guoyin Wang:
    LGRL: Local-Global Representation Learning for On-the-Fly FG-SBIR. 543-555
• 
  • 
  • 
  • 
  • 
    Shun Wang, Yong Zhang, Xuanqi Lin, Yongli Hu, Qingming Huang, Baocai Yin:
    Dynamic Hypergraph Structure Learning for Multivariate Time Series Forecasting. 556-567
• 
  • 
  • 
  • 
  • 
    Charline Bour, Abir Elbéji, Luigi De Giovanni, Adrian Ahne, Guy Fagherazzi:
    ALTRUIST: A Python Package to Emulate a Virtual Digital Cohort Study Using Social Media Data. 568-575

Volume 10, Number 5, October 2024

• 
  • 
  • 
  • 
  • 
    Souha Al Katat, Chamseddine Zaki, Hussein Hazimeh, Ibrahim El Bitar, Rafael Angarita, Lionel Trojman:
    Natural Language Processing for Arabic Sentiment Analysis: A Systematic Literature Review. 576-594
• 
  • 
  • 
  • 
  • 
    Qiang-Sheng Hua, Hongen Wang, Hai Jin, Xuanhua Shi:
    Core Maintenance on Dynamic Graphs: A Distributed Approach Built on H-Index. 595-608
• 
  • 
  • 
  • 
  • 
    Zihao Zhang, Qianqian Wang, Quanxue Gao, Chengquan Pei, Wei Feng:
    Unsupervised Cross-View Subspace Clustering via Adaptive Contrastive Learning. 609-619
• 
  • 
  • 
  • 
  • 
    Huan Liu, Pengfei Jiao, Xuan Guo, Huaming Wu, Mengzhou Gao, Jilin Zhang:
    HGN2T: A Simple but Plug-and-Play Framework Extending HGNNs on Heterogeneous Temporal Graphs. 620-632
• 
  • 
  • 
  • 
  • 
    Ana Belén Rodríguez-González, Javier Burrieza-Galán, Juan José Vinagre-Díaz, Inés Peirats de Castro, Mark Richard Wilby, Oliva García-Cantú Ros:
    Using App Usage Data From Mobile Devices to Improve Activity-Based Travel Demand Models. 633-643
• 
  • 
  • 
  • 
  • 
    Fadi Dornaika, Sally El Hajjar:
    An End-to-End Approach for Graph-Based Multi-View Data Clustering. 644-654
• 
  • 
  • 
  • 
  • 
    Yuan Liang:
    FAER: Fairness-Aware Event-Participant Recommendation in Event-Based Social Networks. 655-668
• 
  • 
  • 
  • 
  • 
    Yeyu Yan, Zhongying Zhao, Zhan Yang, Yanwei Yu, Chao Li:
    A Fast and Robust Attention-Free Heterogeneous Graph Convolutional Network. 669-681

Volume 10, Number 6, December 2024

• 
  • 
  • 
  • 
  • 
    Senzhang Wang, Changdong Wang, Di Jin, Shirui Pan, Philip S. Yu:
    Guest Editorial TBD Special Issue on Graph Machine Learning for Recommender Systems. 682
• 
  • 
  • 
  • 
  • 
    Haibo Ye, Lijun Zhang, Yuan Yao, Sheng-Jun Huang:
    Denoised Graph Collaborative Filtering via Neighborhood Similarity and Dynamic Thresholding. 683-693
• 
  • 
  • 
  • 
  • 
    Mankun Zhao, Aitong Sun, Jian Yu, Xuewei Li, Dongxiao He, Ruiguo Yu, Mei Yu:
    Reliable Data Augmented Contrastive Learning for Sequential Recommendation. 694-705
• 
  • 
  • 
  • 
  • 
    Ming Li, Zhao Li, Changqin Huang, Yunliang Jiang, Xindong Wu:
    EduGraph: Learning Path-Based Hypergraph Neural Networks for MOOC Course Recommendation. 706-719
• 
  • 
  • 
  • 
  • 
    Dan Du, Pei-Yuan Lai, Yan-Fei Wang, De-Zhang Liao, Min Chen:
    AKGNN: Attribute Knowledge Graph Neural Networks Recommendation for Corporate Volunteer Activities. 720-730
• 
  • 
  • 
  • 
  • 
    Ling Huang, Zhi-Yuan Li, Zhenyu He, Yuefang Gao:
    Higher-Order Smoothness Enhanced Graph Collaborative Filtering. 731-741
• 
  • 
  • 
  • 
  • 
    Chi Zhang, Ekanut Sotthiwat, Liangli Zhen, Zengxiang Li:
    Augmented Multi-Party Computation Against Gradient Leakage in Federated Learning. 742-751
• 
  • 
  • 
  • 
  • 
    Dongqi Cai, Tao Fan, Yan Kang, Lixin Fan, Mengwei Xu, Shangguang Wang, Qiang Yang:
    Accelerating Vertical Federated Learning. 752-760
• 
  • 
  • 
  • 
  • 
    Biwen Chen, Honghong Zeng, Tao Xiang, Shangwei Guo, Tianwei Zhang, Yang Liu:
    ESB-FL: Efficient and Secure Blockchain-Based Federated Learning With Fair Payment. 761-774
• 
  • 
  • 
  • 
  • 
    Cheng Zhuo, Di Gao, Liangwei Liu:
    PKDGAN: Private Knowledge Distillation With Generative Adversarial Networks. 775-788
• 
  • 
  • 
  • 
  • 
    Yuting He, Yiqiang Chen, Xiaodong Yang, Hanchao Yu, Yi-Hua Huang, Yang Gu:
    Learning Critically: Selective Self-Distillation in Federated Learning on Non-IID Data. 789-800
• 
  • 
  • 
  • 
  • 
    Xiaohu Wu, Han Yu:
    MarS-FL: Enabling Competitors to Collaborate in Federated Learning. 801-811
• 
  • 
  • 
  • 
  • 
    Zexi Li, Jiaxun Lu, Shuang Luo, Didi Zhu, Yunfeng Shao, Yinchuan Li, Zhimeng Zhang, Yongheng Wang, Chao Wu:
    Towards Effective Clustered Federated Learning: A Peer-to-Peer Framework With Adaptive Neighbor Matching. 812-826
• 
  • 
  • 
  • 
  • 
    Xiong Xiao, Zhuo Tang, Chuanying Li, Bingting Jiang, Kenli Li:
    SBPA: Sybil-Based Backdoor Poisoning Attacks for Distributed Big Data in AIoT-Based Federated Learning System. 827-838
• 
  • 
  • 
  • 
  • 
    Jiahui Geng, Yongli Mou, Qing Li, Feifei Li, Oya Beyan, Stefan Decker, Chunming Rong:
    Improved Gradient Inversion Attacks and Defenses in Federated Learning. 839-850
• 
  • 
  • 
  • 
  • 
    Chen Chen, Lingjuan Lyu, Han Yu, Gang Chen:
    Practical Attribute Reconstruction Attack Against Federated Learning. 851-863
• 
  • 
  • 
  • 
  • 
    Zhaomin Wu, Qinbin Li, Bingsheng He:
    Practical Vertical Federated Learning With Unsupervised Representation Learning. 864-878
• 
  • 
  • 
  • 
  • 
    Yan Kang, Yuanqin He, Jiahuan Luo, Tao Fan, Yang Liu, Qiang Yang:
    Privacy-Preserving Federated Adversarial Domain Adaptation Over Feature Groups for Interpretability. 879-890
• 
  • 
  • 
  • 
  • 
    Zhuoyi Peng, Yi Yang, Liu Yang, Kai Chen:
    Federated Meta Embedding Concept Stock Recommendation. 891-902
• 
  • 
  • 
  • 
  • 
    Pengwei Xing, Songtao Lu, Lingfei Wu, Han Yu:
    BiG-Fed: Bilevel Optimization Enhanced Graph-Aided Federated Learning. 903-914
• 
  • 
  • 
  • 
  • 
    Wang Lu, Jindong Wang, Yiqiang Chen, Xin Qin, Renjun Xu, Dimitrios Dimitriadis, Tao Qin:
    Personalized Federated Learning With Adaptive Batchnorm for Healthcare. 915-925
• 
  • 
  • 
  • 
  • 
    Wensheng Xia, Ying Li, Lan Zhang, Zhonghai Wu, Xiaoyong Yuan:
    Cascade Vertical Federated Learning Towards Straggler Mitigation and Label Privacy Over Distributed Labels. 926-939
• 
  • 
  • 
  • 
  • 
    Haoran Shi, Yonghui Xu, Yali Jiang, Han Yu, Lizhen Cui:
    Efficient Asynchronous Multi-Participant Vertical Federated Learning. 940-952
• 
  • 
  • 
  • 
  • 
    Xavier Tan, Wei Chong Ng, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Han Yu:
    Reputation-Aware Federated Learning Client Selection Based on Stochastic Integer Programming. 953-964
• 
  • 
  • 
  • 
  • 
    Fengwen Chen, Guodong Long:
    FedGE: Break the Scalability Limitation of Graph Neural Network With Federated Graph Embedding. 965-974
• 
  • 
  • 
  • 
  • 
    Shenghui Li, Edith Cheuk-Han Ngai, Thiemo Voigt:
    An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning. 975-988
• 
  • 
  • 
  • 
  • 
    Shaojie Yang, Wei Zheng, Meiyun Xie, Xueyang Zhang:
    Research of Federated Learning Application Methods and Social Responsibility. 989-1000
• 
  • 
  • 
  • 
  • 
    Rui Wang, Oguzhan Ersoy, Hangyu Zhu, Yaochu Jin, Kaitai Liang:
    FEVERLESS: Fast and Secure Vertical Federated Learning Based on XGBoost for Decentralized Labels. 1001-1015
• 
  • 
  • 
  • 
  • 
    Tianyuan Zou, Yang Liu, Yan Kang, Wenhan Liu, Yuanqin He, Zhihao Yi, Qiang Yang, Ya-Qin Zhang:
    Defending Batch-Level Label Inference and Replacement Attacks in Vertical Federated Learning. 1016-1027
• 
  • 
  • 
  • 
  • 
    Chengyi Yang, Jia Liu, Hao Sun, Tongzhi Li, Zengxiang Li:
    WTDP-Shapley: Efficient and Effective Incentive Mechanism in Federated Learning for Intelligent Safety Inspection. 1028-1037
• 
  • 
  • 
  • 
  • 
    Zhuan Shi, Lan Zhang, Zhenyu Yao, Lingjuan Lyu, Cen Chen, Li Wang, Junhao Wang, Xiang-Yang Li:
    FedFAIM: A Model Performance-Based Fair Incentive Mechanism for Federated Learning. 1038-1050
• 
  • 
  • 
  • 
  • 
    Biyao Gong, Tianzhang Xing, Zhidan Liu, Wei Xi, Xiaojiang Chen:
    Adaptive Client Clustering for Efficient Federated Learning Over Non-IID and Imbalanced Data. 1051-1065

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.

Unpaywalled article links

Add open access links from to the list of external document links (if available).

load links from unpaywall.org

Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.

Archived links via Wayback Machine

For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).

load content from archive.org

Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.

Reference lists

Add a list of references from , , and to record detail pages.

load references from crossref.org and opencitations.net

Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.

Citation data

Add a list of citing articles from and to record detail pages.

load citations from opencitations.net

Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.

OpenAlex data

Load additional information about publications from .

load data from openalex.org

Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.

dblp was originally created in 1993 at:

since 2018, dblp has been operated and maintained by: