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IEEE Trans. Big Data
2015
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2024
2015
2024
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Publications
volume 10, number 1, 2024
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.
IEEE Trans. Big Data
10 (1) (2024)
Jinghuan Lao
,
Dong Huang
,
Chang-Dong Wang
,
Jian-Huang Lai
Towards Scalable Multi-View Clustering via Joint Learning of Many Bipartite Graphs.
IEEE Trans. Big Data
10 (1) (2024)
Xingyu Cao
,
Xiangtao Zhang
,
Ce Zhu
,
Jiani Liu
,
Yipeng Liu
TS-RTPM-Net: Data-Driven Tensor Sketching for Efficient CP Decomposition.
IEEE Trans. Big Data
10 (1) (2024)
Wen Qin
,
Xin Luo
,
MengChu Zhou
Adaptively-Accelerated Parallel Stochastic Gradient Descent for High-Dimensional and Incomplete Data Representation Learning.
IEEE Trans. Big Data
10 (1) (2024)
Naiyao Liang
,
Zuyuan Yang
,
Junhang Chen
,
Zhenni Li
,
Shengli Xie
Label-Weighted Graph-Based Learning for Semi-Supervised Classification Under Label Noise.
IEEE Trans. Big Data
10 (1) (2024)
Zihao Wang
,
Ming Jiang
,
Junli Wang
PHAED: A Speaker-Aware Parallel Hierarchical Attentive Encoder-Decoder Model for Multi-Turn Dialogue Generation.
IEEE Trans. Big Data
10 (1) (2024)
Qingtian Zeng
,
Shuai Guo
,
Rui Cao
,
Ziqi Zhao
,
Hua Duan
Legal Transition Sequence Recognition of a Bounded Petri Net Using a Gate Recurrent Unit.
IEEE Trans. Big Data
10 (1) (2024)
Meng Wang
,
Yanhao Yang
,
David Bindel
,
Kun He
Streaming Local Community Detection Through Approximate Conductance.
IEEE Trans. Big Data
10 (1) (2024)
volume 9, number 4, 2023
Hao Chen
,
Yu Ye
,
Ming Xiao
,
Mikael Skoglund
Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning.
IEEE Trans. Big Data
9 (4) (2023)
Jiachen Zhao
,
Fang Deng
,
Jiaqi Zhu
,
Jie Chen
Searching Density-Increasing Path to Local Density Peaks for Unsupervised Anomaly Detection.
IEEE Trans. Big Data
9 (4) (2023)
Mengxiao Zhang
,
Fernando Beltrán
,
Jiamou Liu
A Survey of Data Pricing for Data Marketplaces.
IEEE Trans. Big Data
9 (4) (2023)
Hongjian Li
,
Jianglin Xia
,
Wei Luo
,
Hai Fang
Cost-Efficient Scheduling of Streaming Applications in Apache Flink on Cloud.
IEEE Trans. Big Data
9 (4) (2023)
Zhigang Kan
,
Linhui Feng
,
Zhangyue Yin
,
Linbo Qiao
,
Xipeng Qiu
,
Dongsheng Li
A Composable Generative Framework Based on Prompt Learning for Various Information Extraction Tasks.
IEEE Trans. Big Data
9 (4) (2023)
Chenchu Xu
,
Yuan Yang
,
Zhiqiang Xia
,
Boyan Wang
,
Dong Zhang
,
Yanping Zhang
,
Shu Zhao
Dual Uncertainty-Guided Mixing Consistency for Semi-Supervised 3D Medical Image Segmentation.
IEEE Trans. Big Data
9 (4) (2023)
Mohammad Sultan Mahmud
,
Joshua Zhexue Huang
,
Rukhsana Ruby
,
Alladoumbaye Ngueilbaye
,
Kaishun Wu
Approximate Clustering Ensemble Method for Big Data.
IEEE Trans. Big Data
9 (4) (2023)
volume 9, number 5, 2023
Weichao Liang
,
Jie Cao
,
Lei Chen
,
Youquan Wang
,
Jia Wu
,
Amin Beheshti
,
Jiangnan Tang
Crime Prediction With Missing Data Via Spatiotemporal Regularized Tensor Decomposition.
IEEE Trans. Big Data
9 (5) (2023)
Zhuzhu Wang
,
Cui Hu
,
Bin Xiao
,
Yang Liu
,
Teng Li
,
Zhuo Ma
,
Jianfeng Ma
Outsourced Privacy-Preserving Data Alignment on Vertically Partitioned Database.
IEEE Trans. Big Data
9 (5) (2023)
Zijian Liu
,
Yang Luo
,
Xitong Pu
,
Geyong Min
,
Chunbo Luo
A Multi-Modal Hypergraph Neural Network via Parametric Filtering and Feature Sampling.
IEEE Trans. Big Data
9 (5) (2023)
Fulan Qian
,
Bei Yuan
,
Hai Chen
,
Jie Chen
,
Defu Lian
,
Shu Zhao
Enhancing the Transferability of Adversarial Examples Based on Nesterov Momentum for Recommendation Systems.
IEEE Trans. Big Data
9 (5) (2023)
Shuai Wang
,
Shijie Hu
,
Baoshen Guo
,
Guang Wang
Cross-Region Courier Displacement for On-Demand Delivery With Multi-Agent Reinforcement Learning.
IEEE Trans. Big Data
9 (5) (2023)
Balázs Pejó
,
Gergely Biczók
Quality Inference in Federated Learning With Secure Aggregation.
IEEE Trans. Big Data
9 (5) (2023)
Anna Schmedding
,
Riccardo Pinciroli
,
Lishan Yang
,
Evgenia Smirni
Epidemic Spread Modeling for COVID-19 Using Cross-Fertilization of Mobility Data.
IEEE Trans. Big Data
9 (5) (2023)
Qiming Yang
,
Qi Zhu
,
Mingming Wang
,
Wei Shao
,
Zheng Zhang
,
Daoqiang Zhang
Self-Supervised Federated Adaptation for Multi-Site Brain Disease Diagnosis.
IEEE Trans. Big Data
9 (5) (2023)
Zongshun Zhang
,
Andrea Pinto
,
Valeria Turina
,
Flavio Esposito
,
Ibrahim Matta
Privacy and Efficiency of Communications in Federated Split Learning.
IEEE Trans. Big Data
9 (5) (2023)
Yao Li
,
Duo Qiu
,
Xiongjun Zhang
Robust Low Transformed Multi-Rank Tensor Completion With Deep Prior Regularization for Multi-Dimensional Image Recovery.
IEEE Trans. Big Data
9 (5) (2023)
Zhen Liu
,
Wenbo Zuo
,
Dongning Zhang
,
Xiaodong Feng
RGSE: Robust Graph Structure Embedding for Anomalous Link Detection.
IEEE Trans. Big Data
9 (5) (2023)
Yangwen Yu
,
Victor O. K. Li
,
Jacqueline C. K. Lam
,
Kelvin Chan
GCN-ST-MDIR: Graph Convolutional Network-Based Spatial-Temporal Missing Air Pollution Data Pattern Identification and Recovery.
IEEE Trans. Big Data
9 (5) (2023)
Huanyu Chen
,
Weisheng Li
,
Xinbo Gao
,
Bin Xiao
Novel Multi-Feature Fusion Facial Aesthetic Analysis Framework.
IEEE Trans. Big Data
9 (5) (2023)
volume 9, number 6, 2023
Qian Li
,
Shu Guo
,
Jia Wu
,
Jianxin Li
,
Jiawei Sheng
,
Hao Peng
,
Lihong Wang
Event Extraction by Associating Event Types and Argument Roles.
IEEE Trans. Big Data
9 (6) (2023)
T. H. Akila S. Siriweera
,
Incheon Paik
,
Huawei Huang
Constraint-Driven Complexity-Aware Data Science Workflow for AutoBDA.
IEEE Trans. Big Data
9 (6) (2023)
Chenxu Wang
,
Fuli Feng
,
Yang Zhang
,
Qifan Wang
,
Xunhan Hu
,
Xiangnan He
Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation.
IEEE Trans. Big Data
9 (6) (2023)
Xovee Xu
,
Zhiyuan Wang
,
Qiang Gao
,
Ting Zhong
,
Bei Hui
,
Fan Zhou
,
Goce Trajcevski
Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference.
IEEE Trans. Big Data
9 (6) (2023)
Jie Song
,
Xingchen Zhao
,
Chaopeng Guo
,
Yu Gu
,
Ge Yu
Towards an Energy Complexity Model for Distributed Data Processing Algorithms.
IEEE Trans. Big Data
9 (6) (2023)
Zhuang Yang
Adaptive Powerball Stochastic Conjugate Gradient for Large-Scale Learning.
IEEE Trans. Big Data
9 (6) (2023)
Qinpei Zhao
,
Guangda Yang
,
Kai Zhao
,
Jiaming Yin
,
Weixiong Rao
,
Lei Chen
Multivariate Time-Series Forecasting Model: Predictability Analysis and Empirical Study.
IEEE Trans. Big Data
9 (6) (2023)
Qi Zhu
,
Qiming Yang
,
Mingming Wang
,
Xiangyu Xu
,
Yuwu Lu
,
Wei Shao
,
Daoqiang Zhang
Multi-Discriminator Active Adversarial Network for Multi-Center Brain Disease Diagnosis.
IEEE Trans. Big Data
9 (6) (2023)
Shu Zhao
,
Wenyu Wang
,
Ziwei Du
,
Jie Chen
,
Zhen Duan
A Black-Box Adversarial Attack Method via Nesterov Accelerated Gradient and Rewiring Towards Attacking Graph Neural Networks.
IEEE Trans. Big Data
9 (6) (2023)
Wenjing Li
,
Xiaodan Shi
,
Dou Huang
,
Xudong Shen
,
Jinyu Chen
,
Hill Hiroki Kobayashi
,
Haoran Zhang
,
Xuan Song
,
Ryosuke Shibasaki
PredLife: Predicting Fine-Grained Future Activity Patterns.
IEEE Trans. Big Data
9 (6) (2023)
Yixiu Qin
,
Yizhao Wang
,
Jiawei Li
,
Shun Mao
,
He Wang
,
Yuncheng Jiang
Improved Box Embeddings for Fine-Grained Entity Typing.
IEEE Trans. Big Data
9 (6) (2023)
Jun Yang
,
Yaoru Sun
,
Maoyu Mao
,
Lizhi Bai
,
Siyu Zhang
,
Fang Wang
Model-Agnostic Method: Exposing Deepfake Using Pixel-Wise Spatial and Temporal Fingerprints.
IEEE Trans. Big Data
9 (6) (2023)
Junfu Wang
,
Yuanfang Guo
,
Liang Yang
,
Yunhong Wang
Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation Embedding.
IEEE Trans. Big Data
9 (6) (2023)
Xiaosai Huang
,
Jing Li
,
Jia Wu
,
Jun Chang
,
Donghua Liu
Transfer Learning With Document-Level Data Augmentation for Aspect-Level Sentiment Classification.
IEEE Trans. Big Data
9 (6) (2023)
Ha Xuan Tran
,
Thuc Duy Le
,
Jiuyong Li
,
Lin Liu
,
Jixue Liu
,
Yanchang Zhao
,
Tony Waters
Personalized Interventions to Increase the Employment Success of People With Disability.
IEEE Trans. Big Data
9 (6) (2023)
Rui Song
,
Bin Xiao
,
Yubo Song
,
Songtao Guo
,
Yuanyuan Yang
A Survey of Blockchain-Based Schemes for Data Sharing and Exchange.
IEEE Trans. Big Data
9 (6) (2023)
Dongpan Chen
,
Dehui Kong
,
Jinghua Li
,
Shaofan Wang
,
Baocai Yin
A Survey of Visual Affordance Recognition Based on Deep Learning.
IEEE Trans. Big Data
9 (6) (2023)
Zhifei Ding
,
Jiahao Han
,
Rongtao Qian
,
Liming Shen
,
Siru Chen
,
Lingxin Yu
,
Yu Zhu
,
Richen Liu
eBoF: Interactive Temporal Correlation Analysis for Ensemble Data Based on Bag-of-Features.
IEEE Trans. Big Data
9 (6) (2023)
Chien-Tse Cheng
,
Yu-Hsun Lin
,
Chung-Shou Liao
Seq2CASE: Weakly Supervised Sequence to Commentary Aspect Score Estimation for Recommendation.
IEEE Trans. Big Data
9 (6) (2023)
Siyu Yi
,
Zhengyang Mao
,
Wei Ju
,
Yong-Dao Zhou
,
Luchen Liu
,
Xiao Luo
,
Ming Zhang
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts.
IEEE Trans. Big Data
9 (6) (2023)
Jianli Huang
,
Xianjie Guo
,
Kui Yu
,
Fuyuan Cao
,
Jiye Liang
Towards Privacy-Aware Causal Structure Learning in Federated Setting.
IEEE Trans. Big Data
9 (6) (2023)
Feng Han
,
Chengcai Leng
,
Bing Li
,
Anup Basu
,
Licheng Jiao
Cosine Multilinear Principal Component Analysis for Recognition.
IEEE Trans. Big Data
9 (6) (2023)