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ORCIDIEEE Transactions on Big Data, Volume 11
Volume 11, Number 1, February 2025
- Yuxin Guo
, Deyu Bo, Cheng Yang, Zhiyuan Lu, Zhongjian Zhang, Jixi Liu, Yufei Peng, Chuan Shi:
Data-Centric Graph Learning: A Survey. 1-20 - Moli Lyu, Zhiwei Ni, Qian Chen, Fenggang Li:
Edge-DPSDG: An Edge-Based Differential Privacy Protection Model for Smart Healthcare. 21-34 - Amit Sagu, Nasib Singh Gill, Preeti Gulia, Ishaani Priyadarshini, Jyotir Moy Chatterjee:
Hybrid Optimization Algorithm for Detection of Security Attacks in IoT-Enabled Cyber-Physical Systems. 35-46 - Anup Kumar Halder, Soumyendu Sekhar Bandyopadhyay, Witold Jedrzejewski, Subhadip Basu, Jacek Sroka:
FuzzyPPI: Large-Scale Interaction of Human Proteome at Fuzzy Semantic Space. 47-58 - Ruoyu Zhao, Yushu Zhang, Wenying Wen, Xinpeng Zhang, Xiaochun Cao, Yong Xiang:
PR3: Reversible and Usability-Enhanced Visual Privacy Protection via Thumbnail Preservation and Data Hiding. 59-73 - Yunpeng Xiao, Xufeng Li, Tun Li, Rong Wang, Yucai Pang, Guoyin Wang:
A Distributed Generative Adversarial Network for Data Augmentation Under Vertical Federated Learning. 74-85 - Jing Zhang, Ming Wu, Zeyi Sun, Cangqi Zhou:
Learning From Crowds Using Graph Neural Networks With Attention Mechanism. 86-98 - Tao Li, Yuhua Qian, Feijiang Li, Xinyan Liang, Zhi-Hui Zhan:
Feature Subspace Learning-Based Binary Differential Evolution Algorithm for Unsupervised Feature Selection. 99-114 - Zitai Qiu, Jia Wu, Jian Yang, Xing Su, Charu C. Aggarwal:
Heterogeneous Social Event Detection via Hyperbolic Graph Representations. 115-129 - Wen Zhang, Haitao Fu, Huan Wang, Zhiguo Gong, Pan Zhou, Di Wang:
3A Multi-Classification Division-Aggregation Framework for Fake News Detection. 130-140 - Prakash Tekchandani, Abhishek Bisht, Ashok Kumar Das, Neeraj Kumar, Marimuthu Karuppiah, Pandi Vijayakumar, Youngho Park:
Blockchain-Enabled Secure Collaborative Model Learning Using Differential Privacy for IoT-Based Big Data Analytics. 141-156 - Jalal Ghadermazi, Ankit Shah, Nathaniel D. Bastian:
Towards Real-Time Network Intrusion Detection With Image-Based Sequential Packets Representation. 157-173 - Jeongsu Park, Dong Hoon Lee:
Parallelly Running and Privacy-Preserving Agglomerative Hierarchical Clustering in Outsourced Cloud Computing Environments. 174-189 - Wenjuan Lian, Zikang Bao, Xinze Zhang, Bin Jia, Yang Zhang:
A Universal and Efficient Multi-Modal Smart Contract Vulnerability Detection Framework for Big Data. 190-207 - Haiyong Bao, Zhehong Wang, Rongxing Lu, Cheng Huang, Beibei Li:
TAMT: Privacy-Preserving Task Assignment With Multi-Threshold Range Search for Spatial Crowdsourcing Applications. 208-220 - Qi Zhang, Yanfeng Sun, Shaofan Wang, Junbin Gao, Yongli Hu, Baocai Yin:
Training Large-Scale Graph Neural Networks via Graph Partial Pooling. 221-233 - Xiaoge Deng, Dongsheng Li, Tao Sun, Xicheng Lu:
Communication-Efficient Distributed Learning via Sparse and Adaptive Stochastic Gradient. 234-246 - Lele Cao, Vilhelm von Ehrenheim, Mark Granroth-Wilding, Richard Anselmo Stahl, Andrew McCornack, Armin Catovic, Dhiana Deva Cavalcanti Rocha:
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification. 247-258 - Fahd N. Al-Wesabi, Marwa Ismael Obayya, Jamal M. Alsamri, Rana Alabdan, Nojood O. Aljehane, Sana Alazwari, Fahad F. Alruwaili, Manar Ahmed Hamza, A Swathi:
Automatic Recognition of Cyberbullying in the Web of Things and social media using Deep Learning Framework. 259-270 - Mengting Diao, Zhongbao Zhang, Sen Su, Shuai Gao, Huafeng Cao, Junda Ye:
Efficiently Transfer User Profile Across Networks. 271-285 - Xi Yang, Suining He, Kang G. Shin, Mahan Tabatabaie, Jing Dai:
Cross-Modality and Equity-Aware Graph Pooling Fusion: A Bike Mobility Prediction Study. 286-302 - Guilherme Ramos, Ludovico Boratto, Mirko Marras:
Robust Privacy-Preserving Federated Item Ranking in Online Marketplaces: Exploiting Platform Reputation for Effective Aggregation. 303-309
Volume 11, Number 2, April 2025
- Shuang Wang, He Zhang, Quan Z. Sheng, Xiaoping Li, Zhu Sun, Taotao Cai, Wei Emma Zhang, Jian Yang, Qing Gao:
A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities. 314-332 - Junjun Si, Jin Yang, Yang Xiang, Li Li, Bo Tu, Rongqing Zhang:
ConDTC: Contrastive Deep Trajectory Clustering for Fine-Grained Mobility Pattern Mining. 333-344 - Luyi Bai, Xiuting Song, Lin Zhu:
Joint Multi-Feature Information Entity Alignment for Cross-Lingual Temporal Knowledge Graph With BERT. 345-358 - Dafei Qiu, Shan Xiong, Jiajin Yi, Jialin Peng:
Weakly-Supervised Cross-Domain Segmentation of Electron Microscopy With Sparse Point Annotation. 359-371 - Junzhong Ji, Jing He, Minglong Lei, Muhua Wang, Wei Tang:
Spatio-Temporal Transformer Network for Weather Forecasting. 372-387 - Kazi Shahrukh Omar, Gustavo Moreira, Daniel Hodczak, Maryam Hosseini, Nicola Colaninno, Marcos Lage, Fabio Miranda:
Deep Umbra: A Generative Approach for Sunlight Access Computation in Urban Spaces. 388-401 - Xiang Wu, Hongchao Qin, Rong-Hua Li, Yuchen Meng, Huanzhong Duan, Yanxiong Lu, Yujing Gao, Fusheng Jin, Guoren Wang:
Effective Personalized Search With Heterogeneous Graph Based Hawkes Process. 402-413 - Anindita Borah:
Deep Learning Based Anomaly Detection Approach for Air Pollution Assessment. 414-425 - Yuqing Lan, Zhenghao Liu, Yu Gu, Xiaoyuan Yi, Xiaohua Li, Liner Yang, Ge Yu:
Multi-Evidence Based Fact Verification via A Confidential Graph Neural Network. 426-437 - Xin Zhao, Shaolong Li, Ying Zhao, Shuowen Fu, Yunpeng Chen, Fangfang Zhou, Xin Huang, Yuwei Li, Zhuo Chen:
An Open Dataset of Cyber Asset Graphs for Cybercrime Research. 438-446 - Zhipeng Wang, Nanqing Dong, Jiahao Sun, William Knottenbelt, Yike Guo:
$ \tt {zkFL}$zkFL: Zero-Knowledge Proof-Based Gradient Aggregation for Federated Learning. 447-460 - Junbin Fang, Canjian Jiang, You Jiang, Puxi Lin, Zhaojie Chen, Yujing Sun, Siu-Ming Yiu, Zoe L. Jiang:
Imperceptible Physical Attack Against Face Recognition Systems via LED Illumination Modulation. 461-473 - Xiaoyi Liu, Duxin Chen, Wenjia Wei, Xia Zhu, Hao Shi, Wenwu Yu:
System Identification With Fourier Transformation for Long-Term Time Series Forecasting. 474-484 - Yueyang Pi, Yiqing Shi, Shide Du, Yang Huang, Shiping Wang:
Unsupervised Projected Sample Selector for Active Learning. 485-498 - Qiyao Peng, Yinghui Wang, Pengfei Jiao, Huaming Wu, Wenjun Wang:
Accurate Network Alignment via Consistency in Node Evolution. 499-511 - Chenhan Yuan, Ryan A. Rossi, Andrew Katz, Hoda Eldardiry:
A Reinforcement Learning Framework for N-Ary Document-Level Relation Extraction. 512-523 - Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Philip S. Yu:
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation. 524-539 - Pengfei Du, Yali Gao, Linghui Li, Xiaoyong Li:
SGAMF: Sparse Gated Attention-Based Multimodal Fusion Method for Fake News Detection. 540-552 - Zhenqiu Shu, Yibing Bai, Kailing Yong, Zhengtao Yu:
Deep Cross-Modal Hashing With Ranking Learning for Noisy Labels. 553-565 - Tianpeng Liu, Jing Li, Amin Beheshti, Jia Wu, Jun Chang, Beihang Song, Lezhi Lian:
HEART: Historically Information Embedding and Subspace Re-Weighting Transformer-Based Tracking. 566-577 - Zikang Wang, Linjing Li, Daniel Dajun Zeng:
Symbolic Knowledge Reasoning on Hyper-Relational Knowledge Graphs. 578-590 - Baofeng Chang, Guodao Sun, Sujia Zhu, Qi Jiang, Wang Xia, Jingwei Tang, Ronghua Liang:
DBNetVizor: Visual Analysis of Dynamic Basketball Player Networks. 591-605 - Hoda Rahmani, Anthony J. Olejniczak, Gary R. Weckman:
AGE: Age-Gender Effect on Faculty Career Progression in American Universities. 606-619 - Xinlin Xie, Jing Fan, Xinying Xu, Gang Xie:
Adaptive Superpixel Segmentation With Non-Uniform Seed Initialization. 620-634 - Chang Liu, Dacao Zhang, Meng Wang:
DCLCSE: Dynamic Curriculum Learning Based Contrastive Learning of Sentence Embeddings. 635-647 - Meng Wang, Kai Yu, Chun-Mei Feng, Yiming Qian, Ke Zou, Lianyu Wang, Rick Siow Mong Goh, Xinxing Xu, Yong Liu, Huazhu Fu:
Reliable Federated Disentangling Network for Non-IID Domain Feature. 648-658 - Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon:
On the Convergence of Federated Learning Algorithms Without Data Similarity. 659-668 - Zhiyi Yao, Bowen Ding, Qianlan Bai, Yuedong Xu:
Minerva: Decentralized Collaborative Query Processing Over InterPlanetary File System. 669-683 - Xiaoyu Guo, Yan Liu, Daofu Gong, Fenlin Liu:
Dual Graph Convolutional Networks for Social Network Alignment. 684-695 - Huiting Liu, Huaxiu Zhang, Peipei Li, Peng Zhao, Xindong Wu:
Denoising Implicit Feedback for Graph Collaborative Filtering via Causal Intervention. 696-709 - Xue Wu, Liangxiao Jiang, Wenjun Zhang, Chaoqun Li:
Worker Similarity-Based Label Completion for Crowdsourcing. 710-721 - Yanfang He, Umi Kalsom Yusof:
Robust Joint Graph Learning for Multi-View Clustering. 722-734 - Jianping Gou, Youhui Cheng, Yibing Zhan, Baosheng Yu, Weihua Ou, Zhang Yi:
Graph Convolutional Networks With Collaborative Feature Fusion for Sequential Recommendation. 735-747 - Ruize Shi, Hong Huang, Xue Lin, Kehan Yin, Wei Zhou, Hai Jin:
Efficient Learning for Billion-Scale Heterogeneous Information Networks. 748-760 - Zhi Wang, Qiang Lin, Yaxiong Ma, Xiaoke Ma:
Local High-Order Graph Learning for Multi-View Clustering. 761-773 - Jiajun Chen, Chunqiang Hu, Zewei Liu, Tao Xiang, Pengfei Hu, Jiguo Yu:
Secret Specification Based Personalized Privacy-Preserving Analysis in Big Data. 774-787 - Yihui Li, Yuanfang Guo, Junfu Wang, Shihao Nie, Liang Yang, Di Huang, Yunhong Wang:
ALD-GCN: Graph Convolutional Networks With Attribute-Level Defense. 788-799 - Wenxiang Zhang, Ye Yuan, Hang Wei, Wenjing Zhang, Bin Liu:
A Systemic Pipeline of Identifying lncRNA-Disease Associations to the Prognosis and Treatment of Hepatocellular Carcinoma. 800-809 - Zhen Peng, Wanquan Liu, Sung-Kwun Oh:
AFS-FCM With Memory: A Model for Air Quality Multi-Dimensional Prediction With Interpretability. 810-820 - Chunyu Pu, Yingxu Liu, Shuai Lin, Xu Shi, Zhengying Li, Hong Huang:
Multimodal Deep Learning for Semisupervised Classification of Hyperspectral and LiDAR Data. 821-834 - Hai Chen, Shu Zhao, Xiao Yang, Huanqian Yan, Yuan He, Hui Xue, Fulan Qian, Hang Su:
ANF: Crafting Transferable Adversarial Point Clouds via Adversarial Noise Factorization. 835-847 - Yang Song, Yu Gu, Min Huang, Ge Yu:
A Query-Aware Method for Approximate Range Search in Hamming Space. 848-860 - Ruiyuan Li, Jiajun Li, Minxin Zhou, Rubin Wang, Huajun He, Chao Chen, Jie Bao, Yu Zheng:
Learning-Based Distributed Spatio-Temporal $k$k Nearest Neighbors Join. 861-878 - Jie-Feng Wang, Wan-Lei Zhao, Shihai Xiao, Jiajie Yao, Xuecang Zhang:
Dynamic NN-Descent: An Efficient k-NN Graph Construction Method. 879-886 - Pengfei Jiao, Peng Yan, Jilin Zhang, Biao Wang, Wang Zhang, Nailiang Zhao:
Combine the Growth of Cascades and Impact of Users for Diffusion Prediction. 887-895
Volume 11, Number 3, June 2025
- Guang Yang, Jing Zhang, Giorgos Papanastasiou, Ge Wang, Dacheng Tao:
Editorial Emerging Horizons: The Rise of Large Language Models and Cross-Modal Generative AI. 896-897 - Peipeng Yu, Jiahan Chen, Xuan Feng, Zhihua Xia:
CHEAT: A Large-Scale Dataset for Detecting CHatGPT-writtEn AbsTracts. 898-906 - Haixing Dai, Zhengliang Liu, Wenxiong Liao, Xiaoke Huang, Yihan Cao, Zihao Wu, Lin Zhao, Shaochen Xu, Fang Zeng, Wei Liu, Ninghao Liu, Sheng Li, Dajiang Zhu, Hongmin Cai, Lichao Sun, Quanzheng Li, Dinggang Shen, Tianming Liu, Xiang Li:
AugGPT: Leveraging ChatGPT for Text Data Augmentation. 907-918 - Yingbo Zhang, Shumin Ren, Jiao Wang, Chaoying Zhan, Mengqiao He, Xingyun Liu, Rongrong Wu, Jing Zhao, Cong Wu, Chuanzhu Fan, Bairong Shen:
Expertise or Hallucination? A Comprehensive Evaluation of ChatGPT's Aptitude in Clinical Genetics. 919-932 - Wenqi Shao, Meng Lei, Yutao Hu, Peng Gao, Peng Xu, Kaipeng Zhang, Fanqing Meng, Siyuan Huang, Hongsheng Li, Yu Qiao, Ping Luo:
TinyLVLM-eHub: Towards Comprehensive and Efficient Evaluation for Large Vision-Language Models. 933-947 - Chen Chen, Lei Li, Marcel Beetz, Abhirup Banerjee, Ramneek Gupta, Vicente Grau:
Large Language Model-Informed ECG Dual Attention Network for Heart Failure Risk Prediction. 948-960 - Mengying Jiang, Guizhong Liu, Yuanchao Su, Weiqiang Jin, Biao Zhao:
Hierarchical Multi-Relational Graph Representation Learning for Large-Scale Prediction of Drug-Drug Interactions. 961-975 - Luis Ibañez-Lissen, Lorena González-Manzano, José María de Fuentes, Manuel Goyanes:
Use of Transfer Learning for Affordable In-Context Fake Review Generation. 976-987 - Yan Wang, Huiyu Zhou, Xinghui Dong:
Terrain Scene Generation Using a Lightweight Vector Quantized Generative Adversarial Network. 988-1000 - Mohammad Nadeem, Shahab Saquib Sohail, Dag Øivind Madsen, Ahmed Ibrahim Alzahrani, Javier Del Ser, Khan Muhammad:
A Multi-Modal Assessment Framework for Comparison of Specialized Deep Learning and General-Purpose Large Language Models. 1001-1012 - Weijie Chen, Haoyu Wang, Shicai Yang, Lei Zhang, Wei Wei, Yanning Zhang, Luojun Lin, Di Xie, Yueting Zhuang:
Adapt Anything: Tailor Any Image Classifier Across Domains and Categories Using Text-to-Image Diffusion Models. 1013-1026 - Zihao Wu, Lu Zhang, Chao Cao, Xiaowei Yu, Zhengliang Liu, Lin Zhao, Yiwei Li, Haixing Dai, Chong Ma, Gang Li, Wei Liu, Quanzheng Li, Dinggang Shen, Xiang Li, Dajiang Zhu, Tianming Liu:
Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task. 1027-1041 - Robiert Sepúlveda-Torres, Iván Martínez-Murillo, Estela Saquete, Elena Lloret, Manuel Palomar:
To Write or Not to Write as a Machine? That's the Question. 1042-1053 - Shu Zhao, Yuanfang Cheng, Yanping Zhang, Jie Chen, Zhen Duan, Yang Sun, Xinyuan Wang:
HyFit: Hybrid Fine-Tuning With Diverse Sampling for Abstractive Summarization. 1054-1065 - Xiao Ding, Bibo Cai, Xue Li, Ting Liu, Bing Qin:
x-ECON: Explainable Event-Consumption Commonsense Reasoning. 1066-1077 - Lei Sang, Mingyuan Liu, Yi Zhang, Yuee Huang, Yiwen Zhang:
Bi-Directional Transfer Graph Contrastive Learning for Social Recommendation. 1078-1090 - Haoyue Bai, Min Hou, Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Meng Wang:
Unified Representation Learning for Discrete Attribute Enhanced Completely Cold-Start Recommendation. 1091-1102 - Yujing Sun, Hao Xiong, Siu Ming Yiu:
Restoration of Recaptured Screen Images With a Divide and Conquer Strategy. 1103-1115 - Hefu Zhang, Yong Ge, Yan Zhuang, Enhong Chen:
Where is the Next Step? Predicting the Scientific Impact of Research Career. 1116-1127 - Zihao Lu, Junli Wang, Changjun Jiang:
Data-Free Knowledge Filtering and Distillation in Federated Learning. 1128-1143 - Rui Bing, Guan Yuan, Yanmei Zhang, Senzhang Wang, Bohan Li, Yong Zhou:
An Efficient Multi-View Heterogeneous Hypergraph Convolutional Network for Heterogeneous Information Network Representation Learning. 1144-1157 - Jingxin Mao, Xiaoyu Ma, Yanlong Bi, Rongqing Zhang:
A Comprehensive Federated Learning Framework for Diabetic Retinopathy Grading and Lesion Segmentation. 1158-1170 - Weiqiang Jin, Mengying Jiang, Tao Tao, Hao Zhou, Xiaotian Wang, Biao Zhao, Guang Yang:
Can Rumor Detection Enhance Fact Verification? Unraveling Cross-Task Synergies Between Rumor Detection and Fact Verification. 1171-1187 - Abdul Majeed, Seong Oun Hwang:
Moving Conditional GAN Close to Data: Synthetic Tabular Data Generation and Its Experimental Evaluation. 1188-1205 - Haitao Wu, Weiwei Li, Xiuyi Jia:
Domain Adaptation for Label Distribution Learning. 1221-1234 - Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Haixing Dai, Gengchen Mai, Ninghao Liu, Chen Zhen, Tianming Liu, Sheng Li:
Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications. 1235-1246 - Pradeep Kumar Roy:
MMFFHS: Multi-Modal Feature Fusion for Hate Speech Detection on Social Media. 1247-1258 - Yue Ge, Ying Gao, Lin Qi, JianKai Qiu:
Efficient Forward and Backward Private Conjunctive Searchable Encryption With Comprehensive Verification. 1259-1272 - Ziyu Jia, Heng Liang, Yucheng Liu, Haichao Wang, Tianzi Jiang:
DistillSleepNet: Heterogeneous Multi-Level Knowledge Distillation via Teacher Assistant for Sleep Staging. 1273-1284 - Fengqian Ding, Bo Li, Xianye Ben, Jia Zhao, Hongchao Zhou:
ALAD: A New Unsupervised Time Series Anomaly Detection Paradigm Based on Activation Learning. 1285-1297 - Zipeng Chen, Yuan-Gen Wang, Lin-Cheng Li:
Debiased Cross Contrastive Quantization for Unsupervised Image Retrieval. 1298-1308 - Weili Shi, Sheng Li:
Mixup Virtual Adversarial Training for Robust Vision Transformers. 1309-1320 - Cheng Yan, Feng Zhao, Xiaohui Tao, Xiaofeng Zhu:
Multi-View Few-Shot Reasoning for Emerging Entities in Knowledge Graphs. 1321-1333 - Jinzhao Jiang, Yuanyuan Fu, Jian Xu:
PosParser: A Heuristic Online Log Parsing Method Based on Part-of-Speech Tagging. 1334-1345 - Heng Liu, Boyue Wang, Yanfeng Sun, Junbin Gao, Xiaoyan Li, Yongli Hu, Baocai Yin:
Multi-Granularity Feature Interaction and Multi-Region Selection Based Triplet Visual Question Answering. 1346-1356 - Qihang Wang, Ying Chen, Qinge Xiao:
AnesFormer: An End-to-End Framework for EEG-Based Anesthetic State Classification. 1357-1368 - Yizhang Zou, Xuegang Hu, Peipei Li, Jun Hu:
Weak Multi-Label Data Stream Classification Under Distribution Changes in Labels. 1369-1380 - Yunkai Lou, Chaokun Wang, Songyao Wang:
Graph Data Model and Graph Query Language Based on the Monadic Second-Order Logic. 1381-1396 - Huiqiang Chen, Tianqing Zhu, Bo Liu, Wanlei Zhou, Philip S. Yu:
Fine-Tuning a Biased Model for Improving Fairness. 1397-1410 - Muhammad Aslam:
Developing Novel Algorithms for Generating Inexact Data Through Triangle Distribution. 1411-1418 - Huan Tian, Bo Liu, Tianqing Zhu, Wanlei Zhou, Philip S. Yu:
Distilling Fair Representations From Fair Teachers. 1419-1433 - Yunzhen Zhang, Baocang Wang, Zhen Zhao:
Verifiable and Privacy-Preserving $k$k-NN Query Scheme With Multiple Keys. 1434-1446 - Tailan Yuan, Wen Xiong, Siyuan Liu:
Large-Scale Data Quality Challenges, Framework and Evaluation in Metro Systems. 1447-1463 - Nathaniel Kang, Dongeun Min, Yonghun Cho, Dong-Whan Ko, Hyun Hak Kim, Joon Yeon Choeh, Jongho Im:
Online News-Based Economic Sentiment Index. 1464-1474 - Zhichao Zhu, Jianqiang Li, Chun Xu, Jingchen Zou, Qing Zhao:
A Knowledge-Guided Event-Relation Graph Learning Network for Patient Similarity With Chinese Electronic Medical Records. 1475-1492 - Guangyao Zhuo, Zhenqiu Shu, Zhengtao Yu:
Deep Residual Coupled Prompt Learning for Zero-Shot Sketch-Based Image Retrieval. 1493-1507 - Jingwei Tang, Guodao Sun, Jiahui Chen, Gefei Zhang, Qi Jiang, Yanbiao Li, Guangxing Zhang, Jian Liu, Haixia Wang, Ronghua Liang:
Towards Enhancing Inter-Domain Routing Security With Visualization and Visual Analytics. 1508-1527 - Sattarov Otabek, Jaeyoung Choi:
Detection of Rumors and Their Sources in Social Networks: A Comprehensive Survey. 1528-1547 - Chuan Chen, Tianchi Liao, Xiaojun Deng, Zihou Wu, Sheng Huang, Zibin Zheng:
Advances in Robust Federated Learning: A Survey With Heterogeneity Considerations. 1548-1567 - Hongyi Lin, Yang Liu, Liang Wang, Xiaobo Qu:
Big Data-Driven Advancements and Future Directions in Vehicle Perception Technologies: From Autonomous Driving to Modular Buses. 1568-1587 - Di Zang, Zhe Cui, Zengqiang Wang, Juntao Lei, Yongjie Ding, Chenguang Wei, Junqi Zhang:
Geometric Algebra Multi-Order Graph Neural Network for Traffic Prediction. 1206-1220
Volume 11, Number 4, August 2025
- Shuo Shang, Qi Liu, Renhe Jiang, Ryosuke Shibasaki, Panos Kalnis, Christian S. Jensen:
Editorial High-Performance Recommender Systems Based on Spatiotemporal Data. 1588 - Xin Bi, Qinghan Jin, Meiling Song, Xin Yao, Xiangguo Zhao, Ye Yuan, Guoren Wang:
Spatiotemporal Learning With Decoupled Causal Attention for Multivariate Time Series. 1589-1599 - Yuliang Ma, Yu Chen, Peng Wei, Ye Yuan, Guoren Wang, Zhong-Zhong Jiang:
Many Hands Make Light Work: Group Influence Maximization in Evolving Social Networks. 1600-1613 - Yuliang Ma, Zhong-Zhong Jiang, Mingyang Sun, Ye Yuan, Guoren Wang:
Where Shall We Go: Point-of-Interest Group Recommendation With User Preference Embedding. 1614-1627 - Yihao Zhao, Chenhao Wang, Hongyu Wang, Shunzhi Zhu, Lisi Chen:
Toward High-Quality Spatiotemporal Recommendation: Trajectory Recovery Based on Spatial and Temporal Dependencies. 1628-1639 - Ye Wang, Lihong Guo, Yang Yu, Yuan Gao:
Denoising Neural Relation Extraction for Spatio-Temporal Recommendation System. 1640-1649 - Desheng Dash Wu, David L. Olson:
Editorial: Big Data Analytics in Complex Social Information Networks. 1650-1651 - Biao Wang, Zhao Li, Zenghui Xu, Ji Zhang:
Casformer: Information Popularity Prediction With Adaptive Cascade Sampling and Graph Transformer in Social Networks. 1652-1663 - Wenxin Zhang, Cuicui Luo:
GE-GNN: Gated Edge-Augmented Graph Neural Network for Fraud Detection. 1664-1676 - Ren Li, Huazhong Liu, Xiaotong Zhou, Jiawei Wang, Jihong Ding, Laurence T. Yang, Hua Li, Yunfan Zhang:
Tucker-Based High-Accuracy Multi-Modal Clustering for Social Information Network. 1677-1691 - Tun Li, Di Lei, Qian Li, Rong Wang, Chaolong Jia, Yunpeng Xiao:
A Marketing Topic Traceability Model Based on Domain Preference and Heterogeneous Network. 1692-1706 - Tsuyoshi Yamashita, Naoki Matsumoto, Kunitake Kaneko:
Reducing Re-Indexing for Top-k Personalized PageRank Computation on Dynamic Graphs. 1707-1719 - Qingxi Peng, Zhenjie Weng, Wei Wang, Xinyi Wang, Lan You:
A Collaborative Network-Based Retrieval Model for Open Source Domain Experts. 1720-1732 - Khondhaker Al Momin, Arif Mohaimin Sadri, Kristin Olofsson, Kanthasamy K. Muraleetharan, Hugh Gladwin:
Information Switching Patterns of Risk Communication in Social Media During Disasters. 1733-1744 - Shaojie Qiao, Yuhe Jiang, Nan Han, Wei Hua, Yufeng Lin, Shengjie Min, Xindong Wu:
LBFL: A Lightweight Blockchain-Based Federated Learning Framework With Proof-of-Contribution Committee Consensus. 1745-1759 - Gongxun Miao, Guohua Wu, Zhen Zhang, Yongjie Tong, Bing Lu:
Boosting Encrypted Traffic Classification Using Feature-Enhanced Recurrent Neural Network With Angle Constraint. 1760-1771 - Qiyang Chen, Linlin You, Haohao Qu, Ahmed M. Abdelmoniem, Chau Yuen:
AFML: An Asynchronous Federated Meta-Learning Mechanism for Charging Station Occupancy Prediction With Biased and Isolated Data. 1772-1786 - Jianghui Sang, Yongli Wang, Zaki Ahmad Khan, Xiaoliang Zhou:
Reward Shaping Based on Optimal-Policy-Free. 1787-1798 - Xiaoqiang Zhu, Tie Qiu, Wenyu Qu, Xiaobo Zhou, Tuo Shi, Tianyi Xu:
Dynamic Radio Map Construction With Minimal Manual Intervention: A State Space Model-Based Approach With Imitation Learning. 1799-1812 - Jinlu Wang, Jipeng Guo, Yanfeng Sun, Junbin Gao, Shaofan Wang, Yachao Yang, Baocai Yin:
DGNN: Decoupled Graph Neural Networks With Structural Consistency Between Attribute and Graph Embedding Representations. 1813-1827 - Luyi Bai, Linshuo Xu, Lin Zhu:
Attention-Based Complex Logical Query on Temporal Knowledge Graph via Graph Neural Network. 1828-1839 - Altaf Hussain, Tanveer Hussain, Waseem Ullah, Samee Ullah Khan, Min Je Kim, Khan Muhammad, Javier Del Ser, Sung Wook Baik:
Big Data Analysis for Industrial Activity Recognition Using Attention-Inspired Sequential Temporal Convolution Network. 1840-1851 - Shuai Yang, Xin Li, Minzhi Wu, Qianlong Dang, Lichuan Gu:
Stable Learning via Dual Feature Learning. 1852-1866 - Xinglong Chang, Jianrong Wang, Mingxiang Wen, Yingkui Wang, Yuxiao Huang:
M-Graphormer: Multi-Channel Graph Transformer for Node Representation Learning. 1867-1878 - Faqian Guan, Tianqing Zhu, Hui Sun, Wanlei Zhou, Philip S. Yu:
Large Language Models for Link Stealing Attacks Against Graph Neural Networks. 1879-1893 - Wenying Wen, Minghui Huang, Li Dong, Yushu Zhang, Yuming Fang:
Multiscale Feature-Guided Adversarial Examples Quality Assessment via Hierarchical Perception of Human Visual System. 1894-1906 - Chixuan Wei, Jidong Yuan, Yi Zhang, Zhongyang Yu, Yanze Liu, Haiyang Liu:
Ranking Neighborhood and Class Prototype Contrastive Learning for Time Series. 1907-1917 - Zhiguang Zhou, Haoxuan Wang, Zhendong Yang, Yuanyuan Chen, Xiaohui Chen, Ying Lai, Wei Chen, Yuwei Meng:
GeoVoronoi: A Voronoi Diagram Generation System for Large-Scale Geographical Point Data via Spatial Attribute Association. 1918-1931 - Muhammad Rizwan, Ammar Hawbani, Xingfu Wang, Adeel Anjum, Pelin Angin, Yigit Sever, Sanchuan Chen, Liang Zhao, Ahmed Yassin Al-Dubai:
An Enhanced and Robust Data Publishing Scheme for Private and Useful 1:M Microdata. 1932-1944 - Jiacheng Ma, Sheng Xiang, Qiang Li, Liangyu Yuan, Dawei Cheng, Changjun Jiang:
Parallel Graph Learning With Temporal Stamp Encoding for Fraudulent Transactions Detections. 1945-1958 - Wujie Zhou, Han Zhang, Weiwei Qiu:
Differential Modal Multistage Adaptive Fusion Networks via Knowledge Distillation for RGB-D Mirror Segmentation. 1959-1969 - Yuan Cao, Fanlei Meng, Xinzheng Shang, Jie Gui, Yuan Yan Tang:
A Privacy-Preserving Large-Scale Image Retrieval Framework With Vision GNN Hashing. 1970-1982 - Ke Zhang, Meng Li:
Graph Prompt Learning Method for the Demand-Responsive Transport Routing Problem. 1983-1993 - Xinzhi Wang, Hang Yu, Jiayu Guo, Pengbo Li, Xiangfeng Luo:
Towards Fraud Detection via Fine-Grained Classification of User Behavior. 1994-2007 - Delong Ma, Ye Yuan, Yanfeng Zhang, Chunze Cao, Yuliang Ma:
Cost-Aware Triangle Counting Over Geo-Distributed Datacenters. 2008-2024 - Jiajun Sun, Dianliang Wu:
Online Non-Stationary Pricing Incentives for Budget-Limited Crowdsensing. 2025-2035 - Shicheng Cui, Deqiang Li, Jing Zhang:
MC-GNN: Multi-Channel Graph Neural Networks With Hilbert-Schmidt Independence Criterion. 2036-2045 - Liqiao Xia, Junming Fan, Ajith Kumar Parlikad, Xiao Huang, Pai Zheng:
Unlocking Large Language Model Power in Industry: Privacy-Preserving Collaborative Creation of Knowledge Graph. 2046-2060 - Liner Yang, Jiaxin Yuan, Cunliang Kong, Jingsi Yu, Ruining Chong, Zhenghao Liu, Erhong Yang:
Tailored Definitions With Easy Reach: Complexity-Controllable Definition Generation. 2061-2071 - Hongdao Meng, Yongjian Deng, Qiyu Zhong, Yipeng Wang, Zhen Yang, Gengyu Lyu:
Federated Multi-View Multi-Label Classification. 2072-2084 - Jinsong Chen, Chang Liu, Kaiyuan Gao, Gaichao Li, Kun He:
NAGphormer+: A Tokenized Graph Transformer With Neighborhood Augmentation for Node Classification in Large Graphs. 2085-2098
Volume 11, Number 5, October 2025
- Xiaowen Chu, Wei Wang, Cong Wang, Yang Liu, Rongfei Zeng, Christopher G. Brinton:
Guest Editorial Special Issue on Federated Learning for Big Data Applications. 2099-2101 - Qianpiao Ma, Jianchun Liu, Hongli Xu, Qingmin Jia, Renchao Xie:
FRACTAL: Data-Aware Clustering and Communication Optimization for Decentralized Federated Learning. 2102-2118 - Ye Liu, Shan Chang, Yiqi Liu:
Cepe-FL: Communication-Efficient and Privacy-Enhanced Federated Learning Via Adaptive Compressive Sensing. 2119-2134 - Meng Shen, Jin Meng, Ke Xu, Shui Yu, Liehuang Zhu:
MemDefense: Defending Against Membership Inference Attacks in IoT-Based Federated Learning via Pruning Perturbations. 2135-2147 - Laizhong Cui, Yinghao Li, Yipeng Zhou, Youyang Qu, Jiangchuan Liu:
Accelerating Blockchain-Enabled Federated Learning With Clustered Clients. 2148-2161 - Fei Wang, Baochun Li:
Harnessing the Power of Local Supervision in Federated Learning. 2162-2173 - Wenhua Wang, Quan Yang, Yuzhu Liang, Yang Xu, Qin Liu, Tian Wang:
Heterogeneous Device Collaboration Based Federated Learning for Big Data Applications. 2174-2183 - Sen Fu, Zhengjie Yang, Chuang Hu, Wei Bao:
Personalized Federated Learning With Contrastive Momentum. 2184-2194 - Zibo Wang, Yifei Zhu, Dan Wang, Zhu Han:
Towards Fair and Scalable Trial Assignment in Federated Bandits: A Shapley Value Approach. 2195-2209 - Yuanqin He, Yan Kang, Xinyuan Zhao, Jiahuan Luo, Lixin Fan, Yuxing Han, Qiang Yang:
A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning. 2210-2223 - Ezekiel B. Ouedraogo, Ammar Hawbani, Xingfu Wang, Zhi Liu, Liang Zhao, Mohammed A. A. Al-qaness, Saeed Hamood Alsamhi:
Digital Twin Data Management: A Comprehensive Review. 2224-2243 - Zeju Cai, Jianguo Chen, Yuting Fan, Zibin Zheng, Keqin Li:
Blockchain-Empowered Federated Learning: Benefits, Challenges, and Solutions. 2244-2263 - Ziqiang Yuan, Kaiyuan Wang, Shoutai Zhu, Ye Yuan, Jingya Zhou, Yanlin Zhu, Wenqi Wei:
FinLLMs: A Framework for Financial Reasoning Dataset Generation With Large Language Models. 2264-2277 - Abdul Majeed, Seong Oun Hwang:
A Data-Centric $\ell$ℓ-Diversity Model for Securely Publishing Personal Data With Enhanced Utility. 2278-2295 - Zuodong Jin, Peng Qi, Muyan Yao, Dan Tao:
Portraying Fine-Grained Tenant Portrait for Churn Prediction Using Semi-Supervised Graph Convolution and Attention Network. 2296-2307 - Yao Liu, Yongfei Zhang:
Relational Clustering-Based Parallel Spaces Construction and Embedding for Dynamic Knowledge Graph. 2308-2320 - Huijie Liu, Shulan Ruan, Han Wu, Zhenya Huang, Defu Lian, Qi Liu, Enhong Chen:
Multi-View Heterogeneous HyperGNN for Heterophilic Knowledge Combination Prediction. 2321-2337 - Yichuan Cheng, Darrick Lee, Harald Oberhauser, Haoliang Li:
Generalized Time Series Classification via Component Decomposition and Alignment. 2338-2352 - Junwei Yin, Min Gao, Kai Shu, Zehua Zhao, Yinqiu Huang, Jia Wang:
Emulating Reader Behaviors for Fake News Detection. 2353-2364 - Jing Wang, Dehui Kong, Baocai Yin:
GCLNet: Generalized Contrastive Learning for Weakly Supervised Temporal Action Localization. 2365-2375 - Ao Chen, Xiren Zhou, Yizhan Fan, Huanhuan Chen:
Anomaly Detection in Multi-Level Model Space. 2376-2387 - Hongchun Lu, Songlin He, Xue Li, Min Han, Chase Qishi Wu:
SRGTNet: Subregion-Guided Transformer Hash Network for Fine-Grained Image Retrieval. 2388-2400 - Simon Nandwa Anjiri, Derui Ding, Yan Song, Ying Sun:
A Multiplex Hypergraph Attribute-Based Graph Collaborative Filtering for Cold-Start POI Recommendation. 2401-2416 - Sensen Zhang, Haibo Hong, Mande Xie:
Enhancing the Transferability of Adversarial Examples With Random Diversity Ensemble and Variance Reduction Augmentation. 2417-2430 - Liang Zhang, Xingyu Wu, Yuhang Ma, Haibin Kan:
Data Exchange for the Metaverse With Accountable Decentralized TTPs and Incentive Mechanisms. 2431-2442 - Yangwen Yu, Victor O. K. Li, Jacqueline C. K. Lam, Kelvin Chan, Qi Zhang:
CTDI: CNN-Transformer-Based Spatial-Temporal Missing Air Pollution Data Imputation. 2443-2456 - Sheng Xiang, Chenhao Xu, Dawei Cheng, Ying Zhang:
Scalable Learning-Based Community-Preserving Graph Generation. 2457-2470 - Lanyu Shang, Yang Zhang, Yawen Deng, Dong Wang:
MultiTec: A Data-Driven Multimodal Short Video Detection Framework for Healthcare Misinformation on TikTok. 2471-2488 - Bayaraa Enkhsaikhan, Ohyun Jo:
Risk-Constrained Reinforcement Learning With Augmented Lagrangian Multiplier for Portfolio Optimization. 2489-2502 - Hanlin Gu, Xinyuan Zhao, Gongxi Zhu, Yuxing Han, Yan Kang, Lixin Fan, Qiang Yang:
A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning. 2503-2516 - Jie Hu, Taichuan Zheng, Lilan Peng, Fei Teng, Shengdong Du, Tianrui Li:
LightST: A Simplifying Spatio-Temporal Graph Neural Network for Traffic Flow Forecasting. 2517-2528 - Jing Xiao, Yu-Cheng Zou, Xiao-Ke Xu:
Higher-Order Community Detection by Motif-Based Modularity Optimization. 2529-2544 - Yi Xia, Gang Zhou, Junyong Luo, Mingjing Lan, Ningbo Huang:
How to Decide Like Human? A Commonsense-Aware Hierarchical Framework for Knowledge Graph Reasoning. 2545-2556 - Siyuan Peng, Jingxing Yin, Zhijing Yang, Feiping Nie, Badong Chen:
Robust Semi-Supervised Deep Nonnegative Matrix Factorization With Constraint Propagation for Data Representation. 2557-2571 - Yukang Dong, Fanxing Pan, Yi Gui, Wenbin Jiang, Yao Wan, Ran Zheng, Hai Jin:
Comprehensive Architecture Search for Deep Graph Neural Networks. 2572-2586 - Alvaro Cia-Mina, Jesús López-Fidalgo, Weng Kee Wong:
Optimal Subdata Selection for Prediction Based on the Distribution of the Covariates. 2601-2614 - Hanpeng Liu, Shuoxi Zhang, Kun He:
Residual Learning for Self-Knowledge Distillation: Enhancing Neural Networks Through Consistency Across Layers. 2615-2627 - Lin Mu, Yide Cheng, Jun Shen, Yiwen Zhang, Hong Zhong:
NetPrompt: Neural Network Prompting Enhances Event Extraction in Large Language Models. 2628-2642 - Miao Zhang, Jiawei Wang, Kui Xiao, Zhifang Huang, Zhifei Li, Yan Zhang:
Enhancing Weak Supervision for Concept Prerequisite Relation Learning. 2643-2656 - Li Li, Junjun Si, Jinna Lv, Junting Lu, Jianyu Zhang, Shuaifu Dai:
MSST: Multi-Scale Spatial-Temporal Representation Learning for Trajectory Similarity Computation. 2657-2668 - Qi Dai, Yu Gu, Xiaofeng Zhu, Xiaohua Li, Fangfang Li, Ge Yu:
Self-Guided Graph Refinement With Progressive Fusion for Multiplex Graph Contrastive Representation Learning. 2669-2680 - Linna Zhao, Jianqiang Li, Li Li, Xi Xu:
MHT-Net: A Matching-Based Hierarchical Transfer Network for Glaucoma Detection From Fundus Images. 2681-2695 - Lei Zhang, Mingren Ke, Likang Wu, Wuji Zhang, Zihao Chen, Hongke Zhao:
Multi-Objective Graph Contrastive Learning for Recommendation. 2696-2709 - Yuming Su, Tinghuai Ma, Huan Rong, Mohamed Magdy Abdel Wahab:
Adaptive Graph Structure Learning Neural Rough Differential Equations for Multivariate Time Series Forecasting. 2710-2723 - Weidong Zhao, Xiaoyu Wang, Liqing Qiu:
Incorporating Confused Phraseological Knowledge Based on Pinyin Input Method for Chinese Spelling Correction. 2724-2735 - Bouthaina Slika, Fadi Dornaika, Fares Bougourzi, Karim Hammoudi:
PViTGAtt-IP: Severity Quantification of Lung Infections in Chest X-Rays and CT Scans via Parallel and Cross-Attended Encoders. 2736-2748 - Ling Hu, Tongqing Zhou, Zhihuang Liu, Fang Liu, Zhiping Cai:
Split Learning on Segmented Healthcare Data. 2749-2763 - Hanqi Zhang, Yandong Zheng, Chang Xu, Liehuang Zhu, Jiayin Wang:
Revocable DSSE in Healthcare Systems With Range Query Support. 2764-2778 - Weihua Xu, Di Jiang:
A Novel Concept-Cognitive Learning Model Oriented to Three-Way Concept for Knowledge Acquisition. 2779-2791 - Unil Yun, Hanju Kim, Myungha Cho, Taewoong Ryu, Seungwan Park, Doyoon Kim, Doyoung Kim, Chanhee Lee, Witold Pedrycz:
Utility-Driven Data Analytics Algorithm for Transaction Modifications Using Pre-Large Concept With Single Database Scan. 2792-2808 - Faqian Guan, Tianqing Zhu, Wanlei Zhou, Philip S. Yu:
Topology-Based Node-Level Membership Inference Attacks on Graph Neural Networks. 2809-2826
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