Jing Zhang

Sunyue Xu

Pattern Recognit., August, 2023

Distant supervision for relation extraction with hierarchical attention-based networks.

[BibT_eX]

[DOI]

Meilin Cao

Expert Syst. Appl., June, 2023

Contrastive Learning Based Graph Convolution Network for Social Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2023

Learning from biased crowdsourced labeling with deep clustering.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2023

AlignBench: Benchmarking Chinese Alignment of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Network Intrusion Detection with Edge-Directed Graph Multi-Head Attention Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Disentangled Hypergraph Collaborative Filtering for Social Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Web Services, 2023

Hierarchical Graph Contrastive Learning via Debiasing Noise Samples with Adaptive Repelling Ratio.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Time-aware scalable recommendation with clustering-based distributed factorization for edge services.

[BibT_eX]

[DOI]

World Wide Web, 2022

Privacy-Aware Factorization-Based Hybrid Recommendation Method for Healthcare Services.

[BibT_eX]

[DOI]

Md. Zakirul Alam Bhuiyan

IEEE Trans. Ind. Informatics, 2022

Knowledge Graph Entity Alignment Using Relation Structural Similarity.

[BibT_eX]

[DOI]

J. Database Manag., 2022

Misinformation Detection on Social Media: Challenges and the Road Ahead.

[BibT_eX]

[DOI]

Mark Xuefang Zhu

Wojciech Mazurczyk

Kim-Kwang Raymond Choo

Mauro Conti

IT Prof., 2022

Knowledge Learning With Crowdsourcing: A Brief Review and Systematic Perspective.

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, 2022

Bipartite network embedding with Symmetric Neighborhood Convolution.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2022

Homophily-aware correction framework for crowdsourced labels using heterogeneous information network.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2022

HPM-Net: Hierarchical progressive multiscale network for liver vessel segmentation in CT images.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2022

AngHNE: Representation Learning for Bipartite Heterogeneous Networks with Angular Loss.

[BibT_eX]

[DOI]

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Neural Topic Modeling with Gaussian Mixture Model and Householder Flow.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Attributed Graph Clustering with Double Contrastive Projector.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Multi-Instance Active Learning for Relation Extraction.

[BibT_eX]

[DOI]

Meilin Cao

Jiqiong Jiang

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Label Aggregation with Clustering for Biased Crowdsourced Labeling.

[BibT_eX]

[DOI]

Proceedings of the ICMLC 2022: 14th International Conference on Machine Learning and Computing, Guangzhou, China, February 18, 2022

Learning from Crowds with Mutual Correction-Based Co-Training.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Knowledge Graph, 2022

End-to-end Modularity-based Community Co-partition in Bipartite Networks.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Crowdsourcing with Meta-Knowledge Transfer (Student Abstract).

[BibT_eX]

[DOI]

Sunyue Xu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Multi-Label Truth Inference for Crowdsourcing Using Mixture Models.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

Automatic liver segmentation from abdominal CT volumes using improved convolution neural networks.

[BibT_eX]

[DOI]

Multim. Syst., 2021

DV-Net: Accurate liver vessel segmentation via dense connection model with D-BCE loss function.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Word and graph attention networks for semi-supervised classification.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2021

Multi-label graph node classification with label attentive neighborhood convolution.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2021

Multi-Label Active Learning Algorithms for Image Classification: Overview and Future Promise.

[BibT_eX]

[DOI]

Christine Leon Swisher

Zhiming Cui

Pengpeng Zhao

ACM Comput. Surv., 2021

Multi-label active learning from crowds for secure IIoT.

[BibT_eX]

[DOI]

Ad Hoc Networks, 2021

Heterogeneous Graph Embedding Based on Edge-aware Neighborhood Convolution.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Topic-Attentive Encoder-Decoder with Pre-Trained Language Model for Keyphrase Generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Personalized English Lexical Simplification for Chinese.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

SA_3AM: A Novel Sentiment Analysis Approach Integrating Three-Level Attention Mechanism.

[BibT_eX]

[DOI]

Capsule Graph Neural Networks with EM Routing.

[BibT_eX]

[DOI]

Yu Lei

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Multiclass imbalanced learning with one-versus-one decomposition and spectral clustering.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2020

Learning deep networks with crowdsourcing for relevance evaluation.

[BibT_eX]

[DOI]

EURASIP J. Wirel. Commun. Netw., 2020

Temporal-aware and sparsity-tolerant hybrid collaborative recommendation method with privacy preservation.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2020

ANiTW: A Novel Intelligent Text Watermarking technique for forensic identification of spurious information on social media.

[BibT_eX]

[DOI]

Comput. Secur., 2020

Gaussian Mixture Variational Autoencoder for Semi-Supervised Topic Modeling.

[BibT_eX]

[DOI]

IEEE Access, 2020

Multi-Group Transfer Learning on Multiple Latent Spaces for Text Classification.

[BibT_eX]

[DOI]

IEEE Access, 2020

A Cost-sensitive Active Learning for Imbalance Data with Uncertainty and Diversity Combination.

[BibT_eX]

[DOI]

Huailong Dong

Bowen Zhu

Proceedings of the ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, 2020

LineaRE: Simple but Powerful Knowledge Graph Embedding for Link Prediction.

[BibT_eX]

[DOI]

Yanhui Peng

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Embedding-Based Entity Alignment Using Relation Structural Similarity.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

Interactive Learning with Proactive Cognition Enhancement for Crowd Workers.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Crowdsourced Label Aggregation Using Bilayer Collaborative Clustering.

[BibT_eX]

[DOI]

Jian Wu

IEEE Trans. Neural Networks Learn. Syst., 2019

Ensemble Learning from Crowds.

[BibT_eX]

[DOI]

Ming Wu

IEEE Trans. Knowl. Data Eng., 2019

Majority Voting and Pairing with Multiple Noisy Labeling.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2019

A fault-tolerant dynamic scheduling method on hierarchical mobile edge cloud computing.

[BibT_eX]

[DOI]

Comput. Intell., 2019

Safety Risk Monitoring of Cyber-Physical Power Systems Based on Ensemble Learning Algorithm.

[BibT_eX]

[DOI]

Muhammad Shamrooz Aslam

IEEE Access, 2019

CAD: Command-Level Anomaly Detection for Vehicle-Road Collaborative Charging Network.

[BibT_eX]

[DOI]

IEEE Access, 2019

Semi-supervised Graph Embedding for Multi-label Graph Node Classification.

[BibT_eX]

[DOI]

Kaisheng Gao

Cangqi Zhou

Proceedings of the Web Information Systems Engineering - WISE 2019, 2019

Car Sales Prediction Using Gated Recurrent Units Neural Networks with Reinforcement Learning.

[BibT_eX]

[DOI]

Bowen Zhu

Huailong Dong

Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 2019

Fast Classification Algorithms via Distributed Accelerated Alternating Direction Method of Multipliers.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Security Risk Control of Water Power Generation Industrial Control Network Based on Attack and Defense Map.

[BibT_eX]

[DOI]

Proceedings of the IEEE Fifth International Conference on Big Data Computing Service and Applications, 2019

Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Improving Crowdsourced Label Quality Using Noise Correction.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

A novel data-driven stock price trend prediction system.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2018

AITSteg: An Innovative Text Steganography Technique for Hidden Transmission of Text Message via Social Media.

[BibT_eX]

[DOI]

IEEE Access, 2018

Multi-Label Inference for Crowdsourcing.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Multi-class Imbalanced Learning with One-Versus-One Decomposition: An Empirical Study.

[BibT_eX]

[DOI]

Proceedings of the Cloud Computing and Security - 4th International Conference, 2018

2017

Weak-Labeled Active Learning With Conditional Label Dependence for Multilabel Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2017

Consensus algorithms for biased labeling in crowdsourcing.

[BibT_eX]

[DOI]

Inf. Sci., 2017

Active learning with label correlation exploration for multi-label image classification.

[BibT_eX]

[DOI]

IET Comput. Vis., 2017

Label Aggregation for Crowdsourcing with Bi-Layer Clustering.

[BibT_eX]

[DOI]

Tao Li

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

A robust inference algorithm for crowd sourced categorization.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017

2016

Multi-Class Ground Truth Inference in Crowdsourcing with Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

HDCache: A Distributed Cache System for Real-Time Cloud Services.

[BibT_eX]

[DOI]

Qianmu Li

Wei Zhou

J. Grid Comput., 2016

Label noise correction and application in crowdsourcing.

[BibT_eX]

[DOI]

Bryce Nicholson

Expert Syst. Appl., 2016

Learning from crowdsourced labeled data: a survey.

[BibT_eX]

[DOI]

Artif. Intell. Rev., 2016

Equalized Interval Centroid Based Watermarking Scheme for Stepping Stone Traceback.

[BibT_eX]

[DOI]

Xiaoqiang Xu

Qianmu Li

Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

2015

Imbalanced Multiple Noisy Labeling.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2015

Active Learning With Imbalanced Multiple Noisy Labeling.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2015

一种基于递归图的网络时间隐蔽信道检测方法 (Approach Based on Recurrence Plot to Detect Covert Timing Channels).

[BibT_eX]

[DOI]

计算机科学, 2015

CEKA: a tool for mining the wisdom of crowds.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2015

Improving Label Accuracy by Filtering Low-Quality Workers in Crowdsourcing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence and Soft Computing, 2015

Integrating Active Learning with Supervision for Crowdsourcing Generalization.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Noise correction of image labeling in crowdsourcing.

[BibT_eX]

[DOI]

Bryce Nicholson

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Label noise correction methods.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Improving Label Quality in Crowdsourcing Using Noise Correction.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014

Multi-label active learning for image classification.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

A Parallel Clustering Algorithm with MPI - MKmeans.

[BibT_eX]

[DOI]

J. Comput., 2013

A threshold method for imbalanced multiple noisy labeling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Imbalanced Multiple Noisy Labeling for Supervised Learning.

[BibT_eX]

[DOI]