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ORCIDIEEE Transactions on Big Data, Volume 10
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
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