Jing Zhang - RankMe

119 papers A* 10A 6B 9C 1Misc 3Journal 69Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Heterogeneous graph contrastive learning with spectral augmentation and dual aggregation. Pattern Recognit. Jing Zhang, Wan Zhang, Xiaoqian Jiang, Yingjie Xie, Yali Yuan, Shunmei Meng, Cangqi Zhou
2026	J	`jnl`	ISMAF: Intrinsic-social modality alignment and fusion for multimodal rumor detection. Neurocomputing Zihao Yu, Xiang Li, Jing Zhang
2025	J	`jnl`	Differential Privacy Design for Eavesdroppers via Signed Networks. IEEE Trans. Ind. Informatics Yize Yang, Yang-Yang Chen, Jing Zhang, Jun Yang
2025	J	`jnl`	Dynamic multi-scale feature augmentation for inductive network representation learning. Pattern Recognit. Shicheng Cui, Deqiang Li, Jing Zhang
2025	B	`conf`	Enhancing the Transferability of Adversarial Attacks with Majority-Vote. SMC Zhaorong Xie, Chanying Huang, Qianmu Li, Rui Wang, Jing Zhang, Xuyun Zhang
2025	J	`jnl`	Learning From Crowds Using Graph Neural Networks With Attention Mechanism. IEEE Trans. Big Data Jing Zhang, Ming Wu, Zeyi Sun, Cangqi Zhou
2025	J	`jnl`	MC-GNN: Multi-Channel Graph Neural Networks With Hilbert-Schmidt Independence Criterion. IEEE Trans. Big Data Shicheng Cui, Deqiang Li, Jing Zhang
2025	—	`conf`	Open-World Knowledge Augmentation for Zero-Shot Information Extraction in LLMs. ICIC (23) Haijiang Li, Cangqi Zhou, Jing Zhang, Dianming Hu
2025	J	`jnl`	TiFedCrowd: Federated Crowdsourcing With Time-Controlled Incentive. IEEE Trans. Emerg. Top. Comput. Intell. Xiaoqian Jiang, Jing Zhang, Ming Wu, Victor S. Sheng
2024	J	`jnl`	A Little Truth Injection But a Big Reward: Label Aggregation With Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Zijian Ying, Jing Zhang, Qianmu Li, Ming Wu, Victor S. Sheng
2024	J	`jnl`	Active Crowdsourcing for Multilabel Annotation. IEEE Trans. Neural Networks Learn. Syst. Jing Zhang, Ming Wu, Cangqi Zhou, Victor S. Sheng
2024	—	`conf`	AlignBench: Benchmarking Chinese Alignment of Large Language Models. ACL (1) Xiao Liu, Xuanyu Lei, Shengyuan Wang, Yue Huang, Andrew Feng, Bosi Wen, Jiale Cheng, Pei Ke, Yifan Xu, Weng Lam Tam, Xiaohan Zhang, Lichao Sun, Xiaotao Gu, Hongning Wang, Jing Zhang, Minlie Huang, Yuxiao Dong, Jie Tang
2024	J	`jnl`	Heterogeneous Graph Contrastive Learning with Spectral Augmentation. CoRR Jing Zhang, Xiaoqian Jiang, Yingjie Xie, Cangqi Zhou
2024	J	`jnl`	Hierarchical Graph Capsule Networks for Molecular Function Classification With Disentangled Representations. IEEE Trans. Comput. Biol. Bioinform. Jing Zhang, Yu Lei, Yuxiang Wang, Cangqi Zhou, Victor S. Sheng
2024	J	`jnl`	Label noise correction for crowdsourcing using dynamic resampling. Eng. Appl. Artif. Intell. Jing Zhang, Xiaoqian Jiang, Nianshang Tian, Ming Wu
2024	J	`jnl`	Online Fault Diagnosis of Industrial Robot Using IoRT and Hybrid Deep Learning Techniques: An Experimental Approach. IEEE Internet Things J. Hazrat Bilal, Mohammad S. Obaidat, Muhammad Shamrooz Aslam, Jing Zhang, Baoqun Yin, Khalid Mahmood
2024	J	`jnl`	Quintuple-based Representation Learning for Bipartite Heterogeneous Networks. ACM Trans. Intell. Syst. Technol. Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu
2024	J	`jnl`	Task allocation for unmanned aerial vehicles in mobile crowdsensing. Wirel. Networks Sunyue Xu, Jing Zhang, Shunmei Meng, Jian Xu
2024	J	`jnl`	Temporal-aware influence maximization solution in artificial intelligent edge application. Wirel. Networks Shiyu Chen, Jun Hou, Qianmu Li, Shunmei Meng, Jing Zhang
2024	A	`conf`	Timeliness-Selective Incentive Federated Crowdsourcing. ICWS Xiaoqian Jiang, Haiyang Diao, Cangqi Zhou, Jing Zhang
2023	J	`jnl`	AlignBench: Benchmarking Chinese Alignment of Large Language Models. CoRR Xiao Liu, Xuanyu Lei, Shengyuan Wang, Yue Huang, Zhuoer Feng, Bosi Wen, Jiale Cheng, Pei Ke, Yifan Xu, Weng Lam Tam, Xiaohan Zhang, Lichao Sun, Hongning Wang, Jing Zhang, Minlie Huang, Yuxiao Dong, Jie Tang
2023	J	`jnl`	Contrastive Learning Based Graph Convolution Network for Social Recommendation. ACM Trans. Knowl. Discov. Data Jiabo Zhuang, Shunmei Meng, Jing Zhang, Victor S. Sheng
2023	J	`jnl`	Crowdmeta: Crowdsourcing truth inference with meta-Knowledge transfer. Pattern Recognit. Jing Zhang, Sunyue Xu, Victor S. Sheng
2023	A	`conf`	Disentangled Hypergraph Collaborative Filtering for Social Recommendation. ICWS Xiao Liu, Shunmei Meng, Qianmu Li, Xiaolong Xu, Lianyong Qi, Wanchun Dou, Jing Zhang, Xuyun Zhang
2023	J	`jnl`	Distant supervision for relation extraction with hierarchical attention-based networks. Expert Syst. Appl. Jing Zhang, Meilin Cao
2023	—	`conf`	Heterogeneous Graph Contrastive Learning with Dual Aggregation Scheme and Adaptive Augmentation. APWeb/WAIM (4) Yingjie Xie, Qi Yan, Cangqi Zhou, Jing Zhang, Dianming Hu
2023	A*	`conf`	Hierarchical Graph Contrastive Learning via Debiasing Noise Samples with Adaptive Repelling Ratio. ICDM Peishuo Liu, Cangqi Zhou, Jing Zhang, Qianmu Li, Dianming Hu
2023	J	`jnl`	Learning from biased crowdsourced labeling with deep clustering. Expert Syst. Appl. Ming Wu, Qianmu Li, Fei Yang, Jing Zhang, Victor S. Sheng, Jun Hou
2023	—	`conf`	Multi-Granularity Contrastive Learning for Graph with Hierarchical Pooling. ICANN (4) Peishuo Liu, Cangqi Zhou, Xiao Liu, Jing Zhang, Qianmu Li
2023	—	`conf`	Multi-relational Heterogeneous Graph Attention Networks for Knowledge-Aware Recommendation. APWeb/WAIM (4) Youxuan Wang, Shunmei Meng, Qi Yan, Jing Zhang
2023	J	`jnl`	Network Intrusion Detection with Edge-Directed Graph Multi-Head Attention Networks. CoRR Xiang Li, Jing Zhang, Yali Yuan, Cangqi Zhou
2023	J	`jnl`	Thyroidkeeper: a healthcare management system for patients with thyroid diseases. Health Inf. Sci. Syst. Jing Zhang, Jianhua Li, Yi Zhu, Yu Fu, Lixia Chen
2022	A	`conf`	AngHNE: Representation Learning for Bipartite Heterogeneous Networks with Angular Loss. WSDM Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu
2022	B	`conf`	Attributed Graph Clustering with Double Contrastive Projector. IJCNN Yuxiang Wang, Cangqi Zhou, Jing Zhang, Qianmu Li
2022	J	`jnl`	Bipartite network embedding with Symmetric Neighborhood Convolution. Expert Syst. Appl. Cangqi Zhou, Jing Zhang, Kaisheng Gao, Qianmu Li, Dianming Hu, Victor S. Sheng
2022	A*	`conf`	Crowdsourcing with Meta-Knowledge Transfer (Student Abstract). AAAI Sunyue Xu, Jing Zhang
2022	A	`conf`	End-to-end Modularity-based Community Co-partition in Bipartite Networks. CIKM Cangqi Zhou, Yuxiang Wang, Jing Zhang, Jiqiong Jiang, Dianming Hu
2022	J	`jnl`	HPM-Net: Hierarchical progressive multiscale network for liver vessel segmentation in CT images. Comput. Methods Programs Biomed. Wen Hao, Jing Zhang, Jun Su, Yuqing Song, Zhe Liu, Yi Liu, Cheng-Jian Qiu, Kai Han
2022	J	`jnl`	Homophily-aware correction framework for crowdsourced labels using heterogeneous information network. Expert Syst. Appl. Qingren Wang, Jian Lu, Wei Li, Jing Zhang, Victor S. Sheng
2022	J	`jnl`	Knowledge Graph Entity Alignment Using Relation Structural Similarity. J. Database Manag. Yanhui Peng, Jing Zhang, Cangqi Zhou, Shunmei Meng
2022	J	`jnl`	Knowledge Learning With Crowdsourcing: A Brief Review and Systematic Perspective. IEEE CAA J. Autom. Sinica Jing Zhang
2022	Misc	`conf`	Label Aggregation with Clustering for Biased Crowdsourced Labeling. ICMLC Ming Wu, Qianmu Li, Jing Zhang, Jun Hou
2022	—	`conf`	Learning from Crowds with Mutual Correction-Based Co-Training. ICKG Nianshang Tian, Ming Wu, Jiqiong Jiang, Jing Zhang
2022	J	`jnl`	Misinformation Detection on Social Media: Challenges and the Road Ahead. IT Prof. Milad Taleby Ahvanooey, Mark Xuefang Zhu, Wojciech Mazurczyk, Kim-Kwang Raymond Choo, Mauro Conti, Jing Zhang
2022	B	`conf`	Multi-Instance Active Learning for Relation Extraction. ICTAI Meilin Cao, Jiqiong Jiang, Jing Zhang
2022	—	`conf`	Neural Topic Modeling with Gaussian Mixture Model and Householder Flow. PAKDD (2) Cangqi Zhou, Sunyue Xu, Hao Ban, Jing Zhang
2022	J	`jnl`	Privacy-Aware Factorization-Based Hybrid Recommendation Method for Healthcare Services. IEEE Trans. Ind. Informatics Shunmei Meng, Shaoyu Fan, Qianmu Li, Xinna Wang, Jing Zhang, Xiaolong Xu, Lianyong Qi, Md. Zakirul Alam Bhuiyan
2022	J	`jnl`	Time-aware scalable recommendation with clustering-based distributed factorization for edge services. World Wide Web Shunmei Meng, Jiangmin Xu, Huihui Wang, Rui Yuan, Jing Zhang, Qianmu Li
2021	J	`jnl`	ATPS: an adaptive trajectory prediction system based on semantic information for dynamic objects. Neural Comput. Appl. Jing Zhang, Zhenqiang Mi, Yu Guo, Mohammad S. Obaidat
2021	J	`jnl`	Automatic liver segmentation from abdominal CT volumes using improved convolution neural networks. Multim. Syst. Zhe Liu, Kai Han, Zhaohui Wang, Jing Zhang, Yuqing Song, Xu Yao, Deqi Yuan, Victor S. Sheng
2021	A	`conf`	Capsule Graph Neural Networks with EM Routing. CIKM Yu Lei, Jing Zhang
2021	J	`jnl`	Capsule Graph Neural Networks with EM Routing. CoRR Yu Lei, Jing Zhang
2021	J	`jnl`	DV-Net: Accurate liver vessel segmentation via dense connection model with D-BCE loss function. Knowl. Based Syst. Jun Su, Zhe Liu, Jing Zhang, Victor S. Sheng, Yuqing Song, Yan Zhu, Yi Liu
2021	—	`conf`	HPEMed: Heterogeneous Network Pair Embedding for Medical Diagnosis. ChineseCSCW (2) Mengxi Li, Jing Zhang, Lixia Chen, Yu Fu, Cangqi Zhou
2021	B	`conf`	Heterogeneous Graph Embedding Based on Edge-aware Neighborhood Convolution. IJCNN Hui Chen, Cangqi Zhou, Jing Zhang, Qianmu Li
2021	J	`jnl`	Multi-Label Active Learning Algorithms for Image Classification: Overview and Future Promise. ACM Comput. Surv. Jian Wu, Victor S. Sheng, Jing Zhang, Hua Li, Tetiana Dadakova, Christine Leon Swisher, Zhiming Cui, Pengpeng Zhao
2021	J	`jnl`	Multi-Label Truth Inference for Crowdsourcing Using Mixture Models. IEEE Trans. Knowl. Data Eng. Jing Zhang, Xindong Wu
2021	J	`jnl`	Multi-label active learning from crowds for secure IIoT. Ad Hoc Networks Ming Wu, Qianmu Li, Muhammad Bilal, Xiaolong Xu, Jing Zhang, Jun Hou
2021	J	`jnl`	Multi-label graph node classification with label attentive neighborhood convolution. Expert Syst. Appl. Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu, Victor S. Sheng
2021	—	`conf`	Personalized English Lexical Simplification for Chinese. HPCC/DSS/SmartCity/DependSys Yujie Yin, Feng Zhang, Yun Li, Jing Zhang, Jipeng Qiang
2021	—	`conf`	SA_3AM: A Novel Sentiment Analysis Approach Integrating Three-Level Attention Mechanism. HPCC/DSS/SmartCity/DependSys Qingren Wang, Liang Sun, Jie Cui, Jing Zhang
2021	A*	`conf`	Topic-Attentive Encoder-Decoder with Pre-Trained Language Model for Keyphrase Generation. ICDM Cangqi Zhou, Jinling Shang, Jing Zhang, Qianmu Li, Dianming Hu
2021	J	`jnl`	Word and graph attention networks for semi-supervised classification. Knowl. Inf. Syst. Jing Zhang, Mengxi Li, Kaisheng Gao, Shunmei Meng, Cangqi Zhou
2020	Misc	`conf`	A Cost-sensitive Active Learning for Imbalance Data with Uncertainty and Diversity Combination. ICMLC Huailong Dong, Bowen Zhu, Jing Zhang
2020	J	`jnl`	ANiTW: A Novel Intelligent Text Watermarking technique for forensic identification of spurious information on social media. Comput. Secur. Milad Taleby Ahvanooey, Qianmu Li, Mark Xuefang Zhu, Mamoun Alazab, Jing Zhang
2020	—	`conf`	Embedding-Based Entity Alignment Using Relation Structural Similarity. ICKG Yanhui Peng, Jing Zhang, Cangqi Zhou, Jian Xu
2020	J	`jnl`	Gaussian Mixture Variational Autoencoder for Semi-Supervised Topic Modeling. IEEE Access Cangqi Zhou, Hao Ban, Jing Zhang, Qianmu Li, Yinghua Zhang
2020	A*	`conf`	Interactive Learning with Proactive Cognition Enhancement for Crowd Workers. AAAI Jing Zhang, Huihui Wang, Shunmei Meng, Victor S. Sheng
2020	J	`jnl`	Learning deep networks with crowdsourcing for relevance evaluation. EURASIP J. Wirel. Commun. Netw. Ming Wu, Xiaochun Yin, Qianmu Li, Jing Zhang, Xinqi Feng, Qi Cao, Haiyuan Shen
2020	J	`jnl`	Lightweight privacy preserving data aggregation with batch verification for smart grid. Future Gener. Comput. Syst. Cheng Guo, Xueru Jiang, Kim-Kwang Raymond Choo, Xinyu Tang, Jing Zhang
2020	A*	`conf`	LineaRE: Simple but Powerful Knowledge Graph Embedding for Link Prediction. ICDM Yanhui Peng, Jing Zhang
2020	J	`jnl`	Multi-Group Transfer Learning on Multiple Latent Spaces for Text Classification. IEEE Access Jianhan Pan, Teng Cui, Thuc Duy Le, Xiaomei Li, Jing Zhang
2020	J	`jnl`	Multiclass imbalanced learning with one-versus-one decomposition and spectral clustering. Expert Syst. Appl. Qianmu Li, Yanjun Song, Jing Zhang, Victor S. Sheng
2020	J	`jnl`	Temporal-aware and sparsity-tolerant hybrid collaborative recommendation method with privacy preservation. Concurr. Comput. Pract. Exp. Shunmei Meng, Qianmu Li, Jing Zhang, Wenmin Lin, Wanchun Dou
2019	J	`jnl`	A fault-tolerant dynamic scheduling method on hierarchical mobile edge cloud computing. Comput. Intell. Shunmei Meng, Qianmu Li, Taoran Wu, Weijia Huang, Jing Zhang, Weimin Li
2019	J	`jnl`	CAD: Command-Level Anomaly Detection for Vehicle-Road Collaborative Charging Network. IEEE Access Qianmu Li, Shunmei Meng, Shuo Wang, Jing Zhang, Jun Hou
2019	—	`conf`	Car Sales Prediction Using Gated Recurrent Units Neural Networks with Reinforcement Learning. IScIDE (2) Bowen Zhu, Huailong Dong, Jing Zhang
2019	J	`jnl`	Crowdsourced Label Aggregation Using Bilayer Collaborative Clustering. IEEE Trans. Neural Networks Learn. Syst. Jing Zhang, Victor S. Sheng, Jian Wu
2019	J	`jnl`	Ensemble Learning from Crowds. IEEE Trans. Knowl. Data Eng. Jing Zhang, Ming Wu, Victor S. Sheng
2019	A*	`conf`	Fast Classification Algorithms via Distributed Accelerated Alternating Direction Method of Multipliers. ICDM Huihui Wang, Shunmei Meng, Yiming Qiao, Jing Zhang
2019	A*	`conf`	Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions. AAAI Victor S. Sheng, Jing Zhang
2019	J	`jnl`	Majority Voting and Pairing with Multiple Noisy Labeling. IEEE Trans. Knowl. Data Eng. Victor S. Sheng, Jing Zhang, Bin Gu, Xindong Wu
2019	J	`jnl`	Safety Risk Monitoring of Cyber-Physical Power Systems Based on Ensemble Learning Algorithm. IEEE Access Qianmu Li, Shunmei Meng, Sainan Zhang, Ming Wu, Jing Zhang, Milad Taleby Ahvanooey, Muhammad Shamrooz Aslam
2019	—	`conf`	Security Risk Control of Water Power Generation Industrial Control Network Based on Attack and Defense Map. BigDataService Xiao Dong, Qianmu Li, Jun Hou, Jing Zhang, Yaozong Liu
2019	J	`jnl`	Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification. CoRR Kaisheng Gao, Jing Zhang, Cangqi Zhou
2019	B	`conf`	Semi-supervised Graph Embedding for Multi-label Graph Node Classification. WISE Kaisheng Gao, Jing Zhang, Cangqi Zhou
2018	J	`jnl`	A novel data-driven stock price trend prediction system. Expert Syst. Appl. Jing Zhang, Shicheng Cui, Yan Xu, Qianmu Li, Tao Li
2018	J	`jnl`	AITSteg: An Innovative Text Steganography Technique for Hidden Transmission of Text Message via Social Media. IEEE Access Milad Taleby Ahvanooey, Qianmu Li, Jun Hou, Hassan Dana Mazraeh, Jing Zhang
2018	J	`jnl`	Improving Crowdsourced Label Quality Using Noise Correction. IEEE Trans. Neural Networks Learn. Syst. Jing Zhang, Victor S. Sheng, Tao Li, Xindong Wu
2018	A*	`conf`	Multi-Label Inference for Crowdsourcing. KDD Jing Zhang, Xindong Wu
2018	—	`conf`	Multi-class Imbalanced Learning with One-Versus-One Decomposition: An Empirical Study. ICCCS (3) Yanjun Song, Jing Zhang, Han Yan, Qianmu Li
2017	Misc	`conf`	A robust inference algorithm for crowd sourced categorization. ISKE Ming Wu, Qianmu Li, Jing Zhang, Shicheng Cui, Deqiang Li, Yong Qi
2017	J	`jnl`	Active learning with label correlation exploration for multi-label image classification. IET Comput. Vis. Jian Wu, Chen Ye, Victor S. Sheng, Jing Zhang, Pengpeng Zhao, Zhiming Cui
2017	J	`jnl`	Consensus algorithms for biased labeling in crowdsourcing. Inf. Sci. Jing Zhang, Victor S. Sheng, Qianmu Li, Jian Wu, Xindong Wu
2017	A*	`conf`	Label Aggregation for Crowdsourcing with Bi-Layer Clustering. SIGIR Jing Zhang, Victor S. Sheng, Tao Li
2017	J	`jnl`	Weak-Labeled Active Learning With Conditional Label Dependence for Multilabel Image Classification. IEEE Trans. Multim. Jian Wu, Shiquan Zhao, Victor S. Sheng, Jing Zhang, Chen Ye, Pengpeng Zhao, Zhiming Cui
2016	—	`conf`	Equalized Interval Centroid Based Watermarking Scheme for Stepping Stone Traceback. DSC Xiaoqiang Xu, Jing Zhang, Qianmu Li
2016	J	`jnl`	HDCache: A Distributed Cache System for Real-Time Cloud Services. J. Grid Comput. Jing Zhang, Qianmu Li, Wei Zhou
2016	J	`jnl`	Label noise correction and application in crowdsourcing. Expert Syst. Appl. Bryce Nicholson, Victor S. Sheng, Jing Zhang
2016	J	`jnl`	Learning from crowdsourced labeled data: a survey. Artif. Intell. Rev. Jing Zhang, Xindong Wu, Victor S. Sheng
2016	J	`jnl`	Multi-Class Ground Truth Inference in Crowdsourcing with Clustering. IEEE Trans. Knowl. Data Eng. Jing Zhang, Victor S. Sheng, Jian Wu, Xindong Wu
2015	J	`jnl`	Active Learning With Imbalanced Multiple Noisy Labeling. IEEE Trans. Cybern. Jing Zhang, Xindong Wu, Victor S. Sheng
2015	J	`jnl`	CEKA: a tool for mining the wisdom of crowds. J. Mach. Learn. Res. Jing Zhang, Victor S. Sheng, Bryce Nicholson, Xindong Wu
2015	J	`jnl`	Imbalanced Multiple Noisy Labeling. IEEE Trans. Knowl. Data Eng. Jing Zhang, Xindong Wu, Victor S. Sheng
2015	—	`conf`	Improving Label Accuracy by Filtering Low-Quality Workers in Crowdsourcing. MICAI (1) Bryce Nicholson, Victor S. Sheng, Jing Zhang, Zhiheng Wang, Xuefeng Xian
2015	A	`conf`	Improving Label Quality in Crowdsourcing Using Noise Correction. CIKM Jing Zhang, Victor S. Sheng, Jian Wu, Xiaoqin Fu, Xindong Wu
2015	C	`conf`	Integrating Active Learning with Supervision for Crowdsourcing Generalization. ICMLA Zhenyu Shu, Victor S. Sheng, Yang Zhang, Dianhong Wang, Jing Zhang, Heng Chen
2015	B	`conf`	Label noise correction methods. DSAA Bryce Nicholson, Jing Zhang, Victor S. Sheng, Zhiheng Wang
2015	B	`conf`	Noise correction of image labeling in crowdsourcing. ICIP Bryce Nicholson, Victor S. Sheng, Jing Zhang
2015	J	`jnl`	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). 计算机科学 Biao Liu, Shaohua Lan, Jing Zhang, Guangjie Liu
2014	B	`conf`	Multi-label active learning for image classification. ICIP Jian Wu, Victor S. Sheng, Jing Zhang, Pengpeng Zhao, Zhiming Cui
2013	J	`jnl`	A Parallel Clustering Algorithm with MPI - MKmeans. J. Comput. Jing Zhang, Gong-Qing Wu, Xuegang Hu, Shiying Li, Shuilong Hao
2013	B	`conf`	A threshold method for imbalanced multiple noisy labeling. ASONAM Jing Zhang, Xindong Wu, Victor S. Sheng
2013	A*	`conf`	Imbalanced Multiple Noisy Labeling for Supervised Learning. AAAI Jing Zhang, Xindong Wu, Victor Shengli Sheng
2012	—	`conf`	A Distributed Cache for Hadoop Distributed File System in Real-Time Cloud Services. GRID Jing Zhang, Gong-Qing Wu, Xuegang Hu, Xindong Wu
2011	—	`conf`	A Parallel K-Means Clustering Algorithm with MPI. PAAP Jing Zhang, Gong-Qing Wu, Xuegang Hu, Shiying Li, Shuilong Hao
2011	—	`conf`	K-Means Clustering with Bagging and MapReduce. HICSS Hai-Guang Li, Gong-Qing Wu, Xuegang Hu, Jing Zhang, Lian Li, Xindong Wu
2010	—	`conf`	A 2-Tier Clustering Algorithm with Map-Reduce. ChinaGrid Jing Zhang, Gong-Qing Wu, Haiguang Li, Xuegang Hu, Xindong Wu
2009	—	`conf`	MReC4.5: C4.5 Ensemble Classification with MapReduce. ChinaGrid Gong-Qing Wu, Hai-Guang Li, Xuegang Hu, Yuan-Jun Bi, Jing Zhang, Xindong Wu