MReC4.5: C4.5 Ensemble Classification with MapReduce. - Gong-Qing Wu; Hai-Guang Li; Xuegang Hu; Yuan-Jun Bi; Jing Zhang 015; Xindong Wu 001 (ChinaGrid, 2009)

A 2-Tier Clustering Algorithm with Map-Reduce. - Jing Zhang 015; Gong-Qing Wu; Haiguang Li; Xuegang Hu; Xindong Wu 001 (ChinaGrid, 2010)

K-Means Clustering with Bagging and MapReduce. - Hai-Guang Li; Gong-Qing Wu; Xuegang Hu; Jing Zhang 015; Lian Li; Xindong Wu 001 (HICSS, 2011)

A Parallel K-Means Clustering Algorithm with MPI. - Jing Zhang 015; Gong-Qing Wu; Xuegang Hu; Shiying Li; Shuilong Hao (PAAP, 2011)

A Distributed Cache for Hadoop Distributed File System in Real-Time Cloud Services. - Jing Zhang 015; Gong-Qing Wu; Xuegang Hu; Xindong Wu 001 (GRID, 2012)

Imbalanced Multiple Noisy Labeling for Supervised Learning. - Jing Zhang 015; Xindong Wu 001; Victor Shengli Sheng (AAAI, 2013)

A threshold method for imbalanced multiple noisy labeling. - Jing Zhang 015; Xindong Wu 001; Victor S. Sheng (ASONAM, 2013)

A Parallel Clustering Algorithm with MPI - MKmeans. - Jing Zhang 015; Gong-Qing Wu; Xuegang Hu; Shiying Li; Shuilong Hao (J. Comput., 2013)

Multi-label active learning for image classification. - Jian Wu 002; Victor S. Sheng; Jing Zhang 015; Pengpeng Zhao 001; Zhiming Cui (ICIP, 2014)

Improving Label Quality in Crowdsourcing Using Noise Correction. - Jing Zhang 015; Victor S. Sheng; Jian Wu 002; Xiaoqin Fu; Xindong Wu 001 (CIKM, 2015)

Label noise correction methods. - Bryce Nicholson; Jing Zhang 015; Victor S. Sheng; Zhiheng Wang (DSAA, 2015)

Noise correction of image labeling in crowdsourcing. - Bryce Nicholson; Victor S. Sheng; Jing Zhang 015 (ICIP, 2015)

Integrating Active Learning with Supervision for Crowdsourcing Generalization. - Zhenyu Shu; Victor S. Sheng; Yang Zhang 015; Dianhong Wang; Jing Zhang 015; Heng Chen (ICMLA, 2015)

Improving Label Accuracy by Filtering Low-Quality Workers in Crowdsourcing. - Bryce Nicholson; Victor S. Sheng; Jing Zhang 015; Zhiheng Wang; Xuefeng Xian (MICAI (1), 2015)

CEKA: a tool for mining the wisdom of crowds. - Jing Zhang 015; Victor S. Sheng; Bryce Nicholson; Xindong Wu 001 (J. Mach. Learn. Res., 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). - Biao Liu; Shaohua Lan; Jing Zhang 015; Guangjie Liu (计算机科学, 2015)

Active Learning With Imbalanced Multiple Noisy Labeling. - Jing Zhang 015; Xindong Wu 001; Victor S. Sheng (IEEE Trans. Cybern., 2015)

Imbalanced Multiple Noisy Labeling. - Jing Zhang 015; Xindong Wu 001; Victor S. Sheng (IEEE Trans. Knowl. Data Eng., 2015)

Equalized Interval Centroid Based Watermarking Scheme for Stepping Stone Traceback. - Xiaoqiang Xu; Jing Zhang 015; Qianmu Li (DSC, 2016)

Learning from crowdsourced labeled data: a survey. - Jing Zhang 015; Xindong Wu 001; Victor S. Sheng (Artif. Intell. Rev., 2016)

Label noise correction and application in crowdsourcing. - Bryce Nicholson; Victor S. Sheng; Jing Zhang 015 (Expert Syst. Appl., 2016)

HDCache: A Distributed Cache System for Real-Time Cloud Services. - Jing Zhang 015; Qianmu Li; Wei Zhou 011 (J. Grid Comput., 2016)

Multi-Class Ground Truth Inference in Crowdsourcing with Clustering. - Jing Zhang 015; Victor S. Sheng; Jian Wu 002; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2016)

A robust inference algorithm for crowd sourced categorization. - Ming Wu 004; Qianmu Li; Jing Zhang 015; Shicheng Cui; Deqiang Li; Yong Qi (ISKE, 2017)

Label Aggregation for Crowdsourcing with Bi-Layer Clustering. - Jing Zhang 015; Victor S. Sheng; Tao Li 001 (SIGIR, 2017)

Active learning with label correlation exploration for multi-label image classification. - Jian Wu 002; Chen Ye; Victor S. Sheng; Jing Zhang 015; Pengpeng Zhao 001; Zhiming Cui (IET Comput. Vis., 2017)

Consensus algorithms for biased labeling in crowdsourcing. - Jing Zhang 015; Victor S. Sheng; Qianmu Li; Jian Wu 002; Xindong Wu 001 (Inf. Sci., 2017)

Weak-Labeled Active Learning With Conditional Label Dependence for Multilabel Image Classification. - Jian Wu 002; Shiquan Zhao; Victor S. Sheng; Jing Zhang 015; Chen Ye; Pengpeng Zhao 001; Zhiming Cui (IEEE Trans. Multim., 2017)

Multi-class Imbalanced Learning with One-Versus-One Decomposition: An Empirical Study. - Yanjun Song; Jing Zhang 015; Han Yan; Qianmu Li (ICCCS (3), 2018)

Multi-Label Inference for Crowdsourcing. - Jing Zhang 015; Xindong Wu 001 (KDD, 2018)

AITSteg: An Innovative Text Steganography Technique for Hidden Transmission of Text Message via Social Media. - Milad Taleby Ahvanooey; Qianmu Li; Jun Hou 002; Hassan Dana Mazraeh; Jing Zhang 015 (IEEE Access, 2018)

A novel data-driven stock price trend prediction system. - Jing Zhang 015; Shicheng Cui; Yan Xu; Qianmu Li; Tao Li 001 (Expert Syst. Appl., 2018)

Improving Crowdsourced Label Quality Using Noise Correction. - Jing Zhang 015; Victor S. Sheng; Tao Li 001; Xindong Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions. - Victor S. Sheng; Jing Zhang 015 (AAAI, 2019)

Security Risk Control of Water Power Generation Industrial Control Network Based on Attack and Defense Map. - Xiao Dong; Qianmu Li; Jun Hou 002; Jing Zhang 015; Yaozong Liu (BigDataService, 2019)

Fast Classification Algorithms via Distributed Accelerated Alternating Direction Method of Multipliers. - Huihui Wang 001; Shunmei Meng; Yiming Qiao; Jing Zhang 015 (ICDM, 2019)

Car Sales Prediction Using Gated Recurrent Units Neural Networks with Reinforcement Learning. - Bowen Zhu; Huailong Dong; Jing Zhang 015 (IScIDE (2), 2019)

Semi-supervised Graph Embedding for Multi-label Graph Node Classification. - Kaisheng Gao; Jing Zhang 015; Cangqi Zhou (WISE, 2019)

CAD: Command-Level Anomaly Detection for Vehicle-Road Collaborative Charging Network. - Qianmu Li; Shunmei Meng; Shuo Wang 017; Jing Zhang 015; Jun Hou 002 (IEEE Access, 2019)

Safety Risk Monitoring of Cyber-Physical Power Systems Based on Ensemble Learning Algorithm. - Qianmu Li; Shunmei Meng; Sainan Zhang; Ming Wu 004; Jing Zhang 015; Milad Taleby Ahvanooey; Muhammad Shamrooz Aslam (IEEE Access, 2019)

A fault-tolerant dynamic scheduling method on hierarchical mobile edge cloud computing. - Shunmei Meng; Qianmu Li; Taoran Wu; Weijia Huang; Jing Zhang 015; Weimin Li (Comput. Intell., 2019)

Majority Voting and Pairing with Multiple Noisy Labeling. - Victor S. Sheng; Jing Zhang 015; Bin Gu 001; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2019)

Ensemble Learning from Crowds. - Jing Zhang 015; Ming Wu 004; Victor S. Sheng (IEEE Trans. Knowl. Data Eng., 2019)

Crowdsourced Label Aggregation Using Bilayer Collaborative Clustering. - Jing Zhang 015; Victor S. Sheng; Jian Wu 002 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Interactive Learning with Proactive Cognition Enhancement for Crowd Workers. - Jing Zhang 015; Huihui Wang 001; Shunmei Meng; Victor S. Sheng (AAAI, 2020)

Embedding-Based Entity Alignment Using Relation Structural Similarity. - Yanhui Peng; Jing Zhang 015; Cangqi Zhou; Jian Xu 009 (ICKG, 2020)

LineaRE: Simple but Powerful Knowledge Graph Embedding for Link Prediction. - Yanhui Peng; Jing Zhang 015 (ICDM, 2020)

A Cost-sensitive Active Learning for Imbalance Data with Uncertainty and Diversity Combination. - Huailong Dong; Bowen Zhu; Jing Zhang 015 (ICMLC, 2020)

Multi-Group Transfer Learning on Multiple Latent Spaces for Text Classification. - Jianhan Pan; Teng Cui; Thuc Duy Le; Xiaomei Li; Jing Zhang 015 (IEEE Access, 2020)

Gaussian Mixture Variational Autoencoder for Semi-Supervised Topic Modeling. - Cangqi Zhou; Hao Ban; Jing Zhang 015; Qianmu Li; Yinghua Zhang (IEEE Access, 2020)

ANiTW: A Novel Intelligent Text Watermarking technique for forensic identification of spurious information on social media. - Milad Taleby Ahvanooey; Qianmu Li; Mark Xuefang Zhu; Mamoun Alazab; Jing Zhang 015 (Comput. Secur., 2020)

Temporal-aware and sparsity-tolerant hybrid collaborative recommendation method with privacy preservation. - Shunmei Meng; Qianmu Li; Jing Zhang 015; Wenmin Lin; Wanchun Dou (Concurr. Comput. Pract. Exp., 2020)

Learning deep networks with crowdsourcing for relevance evaluation. - Ming Wu 004; XiaoChun Yin; Qianmu Li; Jing Zhang 015; Xinqi Feng; Qi Cao; Haiyuan Shen (EURASIP J. Wirel. Commun. Netw., 2020)

Multiclass imbalanced learning with one-versus-one decomposition and spectral clustering. - Qianmu Li; Yanjun Song; Jing Zhang 015; Victor S. Sheng (Expert Syst. Appl., 2020)

Lightweight privacy preserving data aggregation with batch verification for smart grid. - Cheng Guo 001; Xueru Jiang; Kim-Kwang Raymond Choo; Xinyu Tang 001; Jing Zhang 015 (Future Gener. Comput. Syst., 2020)

Capsule Graph Neural Networks with EM Routing. - Yu Lei; Jing Zhang 015 (CIKM, 2021)

SA_3AM: A Novel Sentiment Analysis Approach Integrating Three-Level Attention Mechanism. - Qingren Wang; Liang Sun; Jie Cui 004; Jing Zhang 015 (HPCC/DSS/SmartCity/DependSys, 2021)

Personalized English Lexical Simplification for Chinese. - Yujie Yin; Feng Zhang; Yun Li 010; Jing Zhang 015; Jipeng Qiang (HPCC/DSS/SmartCity/DependSys, 2021)

Topic-Attentive Encoder-Decoder with Pre-Trained Language Model for Keyphrase Generation. - Cangqi Zhou; Jinling Shang; Jing Zhang 015; Qianmu Li; Dianming Hu (ICDM, 2021)

Heterogeneous Graph Embedding Based on Edge-aware Neighborhood Convolution. - Hui Chen; Cangqi Zhou; Jing Zhang 015; Qianmu Li (IJCNN, 2021)

Multi-label active learning from crowds for secure IIoT. - Ming Wu 004; Qianmu Li; Muhammad Bilal 003; Xiaolong Xu 001; Jing Zhang 015; Jun Hou 002 (Ad Hoc Networks, 2021)

Multi-Label Active Learning Algorithms for Image Classification: Overview and Future Promise. - Jian Wu 002; Victor S. Sheng; Jing Zhang 015; Hua Li 003; Tetiana Dadakova; Christine Leon Swisher; Zhiming Cui; Pengpeng Zhao 001 (ACM Comput. Surv., 2021)

Multi-label graph node classification with label attentive neighborhood convolution. - Cangqi Zhou; Hui Chen; Jing Zhang 015; Qianmu Li; Dianming Hu; Victor S. Sheng (Expert Syst. Appl., 2021)

Word and graph attention networks for semi-supervised classification. - Jing Zhang 015; Mengxi Li; Kaisheng Gao; Shunmei Meng; Cangqi Zhou (Knowl. Inf. Syst., 2021)

DV-Net: Accurate liver vessel segmentation via dense connection model with D-BCE loss function. - Jun Su; Zhe Liu 004; Jing Zhang 015; Victor S. Sheng; Yuqing Song 001; Yan Zhu 018; Yi Liu 114 (Knowl. Based Syst., 2021)

Automatic liver segmentation from abdominal CT volumes using improved convolution neural networks. - Zhe Liu 004; Kai Han 006; Zhaohui Wang; Jing Zhang 015; Yuqing Song 001; Xu Yao; Deqi Yuan; Victor S. Sheng (Multim. Syst., 2021)

ATPS: an adaptive trajectory prediction system based on semantic information for dynamic objects. - Jing Zhang 015; Zhenqiang Mi; Yu Guo 001; Mohammad S. Obaidat (Neural Comput. Appl., 2021)

Multi-Label Truth Inference for Crowdsourcing Using Mixture Models. - Jing Zhang 015; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2021)

Crowdsourcing with Meta-Knowledge Transfer (Student Abstract). - Sunyue Xu; Jing Zhang 015 (AAAI, 2022)

End-to-end Modularity-based Community Co-partition in Bipartite Networks. - Cangqi Zhou; Yuxiang Wang; Jing Zhang 015; Jiqiong Jiang; Dianming Hu (CIKM, 2022)

Learning from Crowds with Mutual Correction-Based Co-Training. - Nianshang Tian; Ming Wu 004; Jiqiong Jiang; Jing Zhang 015 (ICKG, 2022)

Label Aggregation with Clustering for Biased Crowdsourced Labeling. - Ming Wu 004; Qianmu Li; Jing Zhang 015; Jun Hou 002 (ICMLC, 2022)

Multi-Instance Active Learning for Relation Extraction. - Meilin Cao; Jiqiong Jiang; Jing Zhang 015 (ICTAI, 2022)

Attributed Graph Clustering with Double Contrastive Projector. - Yuxiang Wang; Cangqi Zhou; Jing Zhang 015; Qianmu Li (IJCNN, 2022)

Neural Topic Modeling with Gaussian Mixture Model and Householder Flow. - Cangqi Zhou; Sunyue Xu; Hao Ban; Jing Zhang 015 (PAKDD (2), 2022)

AngHNE: Representation Learning for Bipartite Heterogeneous Networks with Angular Loss. - Cangqi Zhou; Hui Chen; Jing Zhang 015; Qianmu Li; Dianming Hu (WSDM, 2022)

HPM-Net: Hierarchical progressive multiscale network for liver vessel segmentation in CT images. - Wen Hao; Jing Zhang 015; Jun Su; Yuqing Song 001; Zhe Liu 004; Yi Liu 114; Cheng-Jian Qiu; Kai Han 006 (Comput. Methods Programs Biomed., 2022)

Homophily-aware correction framework for crowdsourced labels using heterogeneous information network. - Qingren Wang; Jian Lu; Wei Li 221; Jing Zhang 015; Victor S. Sheng (Expert Syst. Appl., 2022)

Bipartite network embedding with Symmetric Neighborhood Convolution. - Cangqi Zhou; Jing Zhang 015; Kaisheng Gao; Qianmu Li; Dianming Hu; Victor S. Sheng (Expert Syst. Appl., 2022)

Knowledge Learning With Crowdsourcing: A Brief Review and Systematic Perspective. - Jing Zhang 015 (IEEE CAA J. Autom. Sinica, 2022)

Misinformation Detection on Social Media: Challenges and the Road Ahead. - Milad Taleby Ahvanooey; Mark Xuefang Zhu; Wojciech Mazurczyk; Kim-Kwang Raymond Choo; Mauro Conti; Jing Zhang 015 (IT Prof., 2022)

Knowledge Graph Entity Alignment Using Relation Structural Similarity. - Yanhui Peng; Jing Zhang 015; Cangqi Zhou; Shunmei Meng (J. Database Manag., 2022)

Privacy-Aware Factorization-Based Hybrid Recommendation Method for Healthcare Services. - Shunmei Meng; Shaoyu Fan; Qianmu Li; Xinna Wang; Jing Zhang 015; Xiaolong Xu 001; Lianyong Qi; Md. Zakirul Alam Bhuiyan (IEEE Trans. Ind. Informatics, 2022)

Time-aware scalable recommendation with clustering-based distributed factorization for edge services. - Shunmei Meng; Jiangmin Xu; Huihui Wang 001; Rui Yuan; Jing Zhang 015; Qianmu Li (World Wide Web, 2022)

Multi-relational Heterogeneous Graph Attention Networks for Knowledge-Aware Recommendation. - Youxuan Wang; Shunmei Meng; Qi Yan; Jing Zhang 015 (APWeb/WAIM (4), 2023)

Multi-Granularity Contrastive Learning for Graph with Hierarchical Pooling. - Peishuo Liu; Cangqi Zhou; Xiao Liu 043; Jing Zhang 015; Qianmu Li (ICANN (4), 2023)

Hierarchical Graph Contrastive Learning via Debiasing Noise Samples with Adaptive Repelling Ratio. - Peishuo Liu; Cangqi Zhou; Jing Zhang 015; Qianmu Li; Dianming Hu (ICDM, 2023)

Disentangled Hypergraph Collaborative Filtering for Social Recommendation. - Xiao Liu 043; Shunmei Meng; Qianmu Li; Xiaolong Xu 001; Lianyong Qi; Wanchun Dou; Jing Zhang 015; Xuyun Zhang (ICWS, 2023)

Network Intrusion Detection with Edge-Directed Graph Multi-Head Attention Networks. - Xiang Li; Jing Zhang 015; Yali Yuan; Cangqi Zhou (CoRR, 2023)

AlignBench: Benchmarking Chinese Alignment of Large Language Models. - Xiao Liu 036; Xuanyu Lei; Shengyuan Wang 002; Yue Huang 001; Zhuoer Feng; Bosi Wen; Jiale Cheng; Pei Ke; Yifan Xu; Weng Lam Tam; Xiaohan Zhang; Lichao Sun 001; et al. (CoRR, 2023)

Learning from biased crowdsourced labeling with deep clustering. - Ming Wu 004; Qianmu Li; Fei Yang; Jing Zhang 015; Victor S. Sheng; Jun Hou 002 (Expert Syst. Appl., 2023)

Contrastive Learning Based Graph Convolution Network for Social Recommendation. - Jiabo Zhuang; Shunmei Meng; Jing Zhang 015; Victor S. Sheng (ACM Trans. Knowl. Discov. Data, 2023)

Jerk-bounded trajectory planning for rotary flexible joint manipulator: an experimental approach. - Hazrat Bilal; Baoqun Yin; Aakash Kumar; Munawar Ali; Jing Zhang 015; Jinfa Yao (Soft Comput., 2023)

Distant supervision for relation extraction with hierarchical attention-based networks. - Jing Zhang 015; Meilin Cao (Expert Syst. Appl., 2023)

Crowdmeta: Crowdsourcing truth inference with meta-Knowledge transfer. - Jing Zhang 015; Sunyue Xu; Victor S. Sheng (Pattern Recognit., 2023)

Thyroidkeeper: a healthcare management system for patients with thyroid diseases. - Jing Zhang 015; Jianhua Li; Yi Zhu; Yu Fu; Lixia Chen (Health Inf. Sci. Syst., 2023)

AlignBench: Benchmarking Chinese Alignment of Large Language Models. - Xiao Liu 036; Xuanyu Lei; Shengyuan Wang 002; Yue Huang 001; Andrew Feng; Bosi Wen; Jiale Cheng; Pei Ke; Yifan Xu; Weng Lam Tam; Xiaohan Zhang; Lichao Sun 001; et al. (ACL (1), 2024)

Timeliness-Selective Incentive Federated Crowdsourcing. - Xiaoqian Jiang; Haiyang Diao; Cangqi Zhou; Jing Zhang 015 (ICWS, 2024)

Heterogeneous Graph Contrastive Learning with Spectral Augmentation. - Jing Zhang 015; Xiaoqian Jiang; Yingjie Xie; Cangqi Zhou (CoRR, 2024)

Label noise correction for crowdsourcing using dynamic resampling. - Jing Zhang 015; Xiaoqian Jiang; Nianshang Tian; Ming Wu 004 (Eng. Appl. Artif. Intell., 2024)

Active Crowdsourcing for Multilabel Annotation. - Jing Zhang 015; Ming Wu 004; Cangqi Zhou; Victor S. Sheng (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Little Truth Injection But a Big Reward: Label Aggregation With Graph Neural Networks. - Zijian Ying; Jing Zhang 015; Qianmu Li; Ming Wu 004; Victor S. Sheng (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Quintuple-based Representation Learning for Bipartite Heterogeneous Networks. - Cangqi Zhou; Hui Chen; Jing Zhang 015; Qianmu Li; Dianming Hu (ACM Trans. Intell. Syst. Technol., 2024)

Temporal-aware influence maximization solution in artificial intelligent edge application. - Shiyu Chen; Jun Hou 002; Qianmu Li; Shunmei Meng; Jing Zhang 015 (Wirel. Networks, 2024)

Task allocation for unmanned aerial vehicles in mobile crowdsensing. - Sunyue Xu; Jing Zhang 015; Shunmei Meng; Jian Xu 009 (Wirel. Networks, 2024)

Online Fault Diagnosis of Industrial Robot Using IoRT and Hybrid Deep Learning Techniques: An Experimental Approach. - Hazrat Bilal; Mohammad S. Obaidat; Muhammad Shamrooz Aslam; Jing Zhang 015; Baoqun Yin; Khalid Mahmood 002 (IEEE Internet Things J., 2024)

Dynamic multi-scale feature augmentation for inductive network representation learning. - Shicheng Cui; Deqiang Li; Jing Zhang 015 (Pattern Recognit., 2025)

Learning From Crowds Using Graph Neural Networks With Attention Mechanism. - Jing Zhang 015; Ming Wu 004; Zeyi Sun 001; Cangqi Zhou (IEEE Trans. Big Data, 2025)

TiFedCrowd: Federated Crowdsourcing With Time-Controlled Incentive. - Xiaoqian Jiang; Jing Zhang 015; Ming Wu 004; Victor S. Sheng (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

MC-GNN: Multi-Channel Graph Neural Networks With Hilbert-Schmidt Independence Criterion. - Shicheng Cui; Deqiang Li; Jing Zhang 015 (IEEE Trans. Big Data, 2025)