Jing Zhang

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 73

Top Topics

Image Classification

Graph Embedding

Vessel Segmentation

Top Venues

Expert Syst. Appl.

IEEE Trans. Knowl. Data Eng.

Publications

Jing Zhang, Xiaoqian Jiang, Yingjie Xie, Cangqi Zhou
Heterogeneous Graph Contrastive Learning with Spectral Augmentation. CoRR (2024)
Sunyue Xu, Jing Zhang, Shunmei Meng, Jian Xu
Task allocation for unmanned aerial vehicles in mobile crowdsensing. Wirel. Networks 30 (5) (2024)
Zijian Ying, Jing Zhang, Qianmu Li, Ming Wu, Victor S. Sheng
A Little Truth Injection But a Big Reward: Label Aggregation With Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu
Quintuple-based Representation Learning for Bipartite Heterogeneous Networks. ACM Trans. Intell. Syst. Technol. 15 (3) (2024)
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
AlignBench: Benchmarking Chinese Alignment of Large Language Models. ACL (1) (2024)
Jing Zhang, Ming Wu, Cangqi Zhou, Victor S. Sheng
Active Crowdsourcing for Multilabel Annotation. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Shiyu Chen, Jun Hou, Qianmu Li, Shunmei Meng, Jing Zhang
Temporal-aware influence maximization solution in artificial intelligent edge application. Wirel. Networks 30 (5) (2024)
Jing Zhang, Xiaoqian Jiang, Nianshang Tian, Ming Wu
Label noise correction for crowdsourcing using dynamic resampling. Eng. Appl. Artif. Intell. 133 (2024)
Jing Zhang, Sunyue Xu, Victor S. Sheng
Crowdmeta: Crowdsourcing truth inference with meta-Knowledge transfer. Pattern Recognit. 140 (2023)
Ming Wu, Qianmu Li, Fei Yang, Jing Zhang, Victor S. Sheng, Jun Hou
Learning from biased crowdsourced labeling with deep clustering. Expert Syst. Appl. 211 (2023)
Youxuan Wang, Shunmei Meng, Qi Yan, Jing Zhang
Multi-relational Heterogeneous Graph Attention Networks for Knowledge-Aware Recommendation. APWeb/WAIM (4) (2023)
Peishuo Liu, Cangqi Zhou, Jing Zhang, Qianmu Li, Dianming Hu
Hierarchical Graph Contrastive Learning via Debiasing Noise Samples with Adaptive Repelling Ratio. ICDM (2023)
Jing Zhang, Jianhua Li, Yi Zhu, Yu Fu, Lixia Chen
Thyroidkeeper: a healthcare management system for patients with thyroid diseases. Health Inf. Sci. Syst. 11 (1) (2023)
Jing Zhang, Meilin Cao
Distant supervision for relation extraction with hierarchical attention-based networks. Expert Syst. Appl. 220 (2023)
Jiabo Zhuang, Shunmei Meng, Jing Zhang, Victor S. Sheng
Contrastive Learning Based Graph Convolution Network for Social Recommendation. ACM Trans. Knowl. Discov. Data 17 (8) (2023)
Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu
AngHNE: Representation Learning for Bipartite Heterogeneous Networks with Angular Loss. WSDM (2022)
Shunmei Meng, Shaoyu Fan, Qianmu Li, Xinna Wang, Jing Zhang, Xiaolong Xu, Lianyong Qi, Md. Zakirul Alam Bhuiyan
Privacy-Aware Factorization-Based Hybrid Recommendation Method for Healthcare Services. IEEE Trans. Ind. Informatics 18 (8) (2022)
Cangqi Zhou, Jing Zhang, Kaisheng Gao, Qianmu Li, Dianming Hu, Victor S. Sheng
Bipartite network embedding with Symmetric Neighborhood Convolution. Expert Syst. Appl. 198 (2022)
Yanhui Peng, Jing Zhang, Cangqi Zhou, Shunmei Meng
Knowledge Graph Entity Alignment Using Relation Structural Similarity. J. Database Manag. 33 (1) (2022)
Wen Hao, Jing Zhang, Jun Su, Yuqing Song, Zhe Liu, Yi Liu, Cheng-Jian Qiu, Kai Han
HPM-Net: Hierarchical progressive multiscale network for liver vessel segmentation in CT images. Comput. Methods Programs Biomed. 224 (2022)
Milad Taleby Ahvanooey, Mark Xuefang Zhu, Wojciech Mazurczyk, Kim-Kwang Raymond Choo, Mauro Conti, Jing Zhang
Misinformation Detection on Social Media: Challenges and the Road Ahead. IT Prof. 24 (1) (2022)
Sunyue Xu, Jing Zhang
Crowdsourcing with Meta-Knowledge Transfer (Student Abstract). AAAI (2022)
Cangqi Zhou, Sunyue Xu, Hao Ban, Jing Zhang
Neural Topic Modeling with Gaussian Mixture Model and Householder Flow. PAKDD (2) (2022)
Meilin Cao, Jiqiong Jiang, Jing Zhang
Multi-Instance Active Learning for Relation Extraction. ICTAI (2022)
Qingren Wang, Jian Lu, Wei Li, Jing Zhang, Victor S. Sheng
Homophily-aware correction framework for crowdsourced labels using heterogeneous information network. Expert Syst. Appl. 200 (2022)
Zhe Liu, Kai Han, Zhaohui Wang, Jing Zhang, Yuqing Song, Xu Yao, Deqi Yuan, Victor S. Sheng
Automatic liver segmentation from abdominal CT volumes using improved convolution neural networks. Multim. Syst. 27 (1) (2021)
Cangqi Zhou, Jinling Shang, Jing Zhang, Qianmu Li, Dianming Hu
Topic-Attentive Encoder-Decoder with Pre-Trained Language Model for Keyphrase Generation. ICDM (2021)
Yu Lei, Jing Zhang
Capsule Graph Neural Networks with EM Routing. CIKM (2021)
Yu Lei, Jing Zhang
Capsule Graph Neural Networks with EM Routing. CoRR (2021)
Jing Zhang, Mengxi Li, Kaisheng Gao, Shunmei Meng, Cangqi Zhou
Word and graph attention networks for semi-supervised classification. Knowl. Inf. Syst. 63 (11) (2021)
Jun Su, Zhe Liu, Jing Zhang, Victor S. Sheng, Yuqing Song, Yan Zhu, Yi Liu
DV-Net: Accurate liver vessel segmentation via dense connection model with D-BCE loss function. Knowl. Based Syst. 232 (2021)
Hui Chen, Cangqi Zhou, Jing Zhang, Qianmu Li
Heterogeneous Graph Embedding Based on Edge-aware Neighborhood Convolution. IJCNN (2021)
Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu, Victor S. Sheng
Multi-label graph node classification with label attentive neighborhood convolution. Expert Syst. Appl. 180 (2021)
Ming Wu, Qianmu Li, Muhammad Bilal, Xiaolong Xu, Jing Zhang, Jun Hou
Multi-label active learning from crowds for secure IIoT. Ad Hoc Networks 121 (2021)
Jing Zhang, Xindong Wu
Multi-Label Truth Inference for Crowdsourcing Using Mixture Models. IEEE Trans. Knowl. Data Eng. 33 (5) (2021)
Ming Wu, XiaoChun Yin, Qianmu Li, Jing Zhang, Xinqi Feng, Qi Cao, Haiyuan Shen
Learning deep networks with crowdsourcing for relevance evaluation. EURASIP J. Wirel. Commun. Netw. 2020 (1) (2020)
Qianmu Li, Yanjun Song, Jing Zhang, Victor S. Sheng
Multiclass imbalanced learning with one-versus-one decomposition and spectral clustering. Expert Syst. Appl. 147 (2020)
Yanhui Peng, Jing Zhang, Cangqi Zhou, Jian Xu
Embedding-Based Entity Alignment Using Relation Structural Similarity. ICKG (2020)
Jing Zhang, Huihui Wang, Shunmei Meng, Victor S. Sheng
Interactive Learning with Proactive Cognition Enhancement for Crowd Workers. AAAI (2020)
Jianhan Pan, Teng Cui, Thuc Duy Le, Xiaomei Li, Jing Zhang
Multi-Group Transfer Learning on Multiple Latent Spaces for Text Classification. IEEE Access 8 (2020)
Jian Wu, Victor S. Sheng, Jing Zhang, Hua Li, Tetiana Dadakova, Christine Leon Swisher, Zhiming Cui, Pengpeng Zhao
Multi-Label Active Learning Algorithms for Image Classification: Overview and Future Promise. ACM Comput. Surv. 53 (2) (2020)
Milad Taleby Ahvanooey, Qianmu Li, Xuefang Zhu, Mamoun Alazab, Jing Zhang
ANiTW: A Novel Intelligent Text Watermarking technique for forensic identification of spurious information on social media. Comput. Secur. 90 (2020)
Cangqi Zhou, Hao Ban, Jing Zhang, Qianmu Li, Yinghua Zhang
Gaussian Mixture Variational Autoencoder for Semi-Supervised Topic Modeling. IEEE Access 8 (2020)
Yanhui Peng, Jing Zhang
LineaRE: Simple but Powerful Knowledge Graph Embedding for Link Prediction. ICDM (2020)
Shunmei Meng, Qianmu Li, Jing Zhang, Wenmin Lin, Wanchun Dou
Temporal-aware and sparsity-tolerant hybrid collaborative recommendation method with privacy preservation. Concurr. Comput. Pract. Exp. 32 (2) (2020)
Huailong Dong, Bowen Zhu, Jing Zhang
A Cost-sensitive Active Learning for Imbalance Data with Uncertainty and Diversity Combination. ICMLC (2020)
Jing Zhang, Ming Wu, Victor S. Sheng
Ensemble Learning from Crowds. IEEE Trans. Knowl. Data Eng. 31 (8) (2019)
Bowen Zhu, Huailong Dong, Jing Zhang
Car Sales Prediction Using Gated Recurrent Units Neural Networks with Reinforcement Learning. IScIDE (2) (2019)
Kaisheng Gao, Jing Zhang, Cangqi Zhou
Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification. CoRR (2019)
Victor S. Sheng, Jing Zhang
Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions. AAAI (2019)
Huihui Wang, Shunmei Meng, Yiming Qiao, Jing Zhang
Fast Classification Algorithms via Distributed Accelerated Alternating Direction Method of Multipliers. ICDM (2019)
Jing Zhang, Victor S. Sheng, Jian Wu
Crowdsourced Label Aggregation Using Bilayer Collaborative Clustering. IEEE Trans. Neural Networks Learn. Syst. 30 (10) (2019)
Kaisheng Gao, Jing Zhang, Cangqi Zhou
Semi-supervised Graph Embedding for Multi-label Graph Node Classification. WISE (2019)
Qianmu Li, Shunmei Meng, Sainan Zhang, Ming Wu, Jing Zhang, Milad Taleby Ahvanooey, Muhammad Shamrooz Aslam
Safety Risk Monitoring of Cyber-Physical Power Systems Based on Ensemble Learning Algorithm. IEEE Access 7 (2019)
Shunmei Meng, Qianmu Li, Taoran Wu, Weijia Huang, Jing Zhang, Weimin Li
A fault-tolerant dynamic scheduling method on hierarchical mobile edge cloud computing. Comput. Intell. 35 (3) (2019)
Xiao Dong, Qianmu Li, Jun Hou, Jing Zhang, Yaozong Liu
Security Risk Control of Water Power Generation Industrial Control Network Based on Attack and Defense Map. BigDataService (2019)
Qianmu Li, Shunmei Meng, Shuo Wang, Jing Zhang, Jun Hou
CAD: Command-Level Anomaly Detection for Vehicle-Road Collaborative Charging Network. IEEE Access 7 (2019)
Victor S. Sheng, Jing Zhang, Bin Gu, Xindong Wu
Majority Voting and Pairing with Multiple Noisy Labeling. IEEE Trans. Knowl. Data Eng. 31 (7) (2019)
Milad Taleby Ahvanooey, Qianmu Li, Jun Hou, Hassan Dana Mazraeh, Jing Zhang
AITSteg: An Innovative Text Steganography Technique for Hidden Transmission of Text Message via Social Media. IEEE Access 6 (2018)
Jing Zhang, Shicheng Cui, Yan Xu, Qianmu Li, Tao Li
A novel data-driven stock price trend prediction system. Expert Syst. Appl. 97 (2018)
Jing Zhang, Victor S. Sheng, Tao Li, Xindong Wu
Improving Crowdsourced Label Quality Using Noise Correction. IEEE Trans. Neural Networks Learn. Syst. 29 (5) (2018)
Yanjun Song, Jing Zhang, Han Yan, Qianmu Li
Multi-class Imbalanced Learning with One-Versus-One Decomposition: An Empirical Study. ICCCS (3) (2018)
Jing Zhang, Xindong Wu
Multi-Label Inference for Crowdsourcing. KDD (2018)
Ming Wu, Qianmu Li, Jing Zhang, Shicheng Cui, Deqiang Li, Yong Qi
A robust inference algorithm for crowd sourced categorization. ISKE (2017)
Jing Zhang, Victor S. Sheng, Qianmu Li, Jian Wu, Xindong Wu
Consensus algorithms for biased labeling in crowdsourcing. Inf. Sci. (2017)
Jian Wu, Chen Ye, Victor S. Sheng, Jing Zhang, Pengpeng Zhao, Zhiming Cui
Active learning with label correlation exploration for multi-label image classification. IET Comput. Vis. 11 (7) (2017)
Jian Wu, Shiquan Zhao, Victor S. Sheng, Jing Zhang, Chen Ye, Pengpeng Zhao, Zhiming Cui
Weak-Labeled Active Learning With Conditional Label Dependence for Multilabel Image Classification. IEEE Trans. Multim. 19 (6) (2017)
Jing Zhang, Victor S. Sheng, Tao Li
Label Aggregation for Crowdsourcing with Bi-Layer Clustering. SIGIR (2017)
Jing Zhang, Xindong Wu, Victor S. Sheng
Learning from crowdsourced labeled data: a survey. Artif. Intell. Rev. 46 (4) (2016)
Bryce Nicholson, Victor S. Sheng, Jing Zhang
Label noise correction and application in crowdsourcing. Expert Syst. Appl. 66 (2016)
Jing Zhang, Victor S. Sheng, Jian Wu, Xindong Wu
Multi-Class Ground Truth Inference in Crowdsourcing with Clustering. IEEE Trans. Knowl. Data Eng. 28 (4) (2016)
Jing Zhang, Qianmu Li, Wei Zhou
HDCache: A Distributed Cache System for Real-Time Cloud Services. J. Grid Comput. 14 (3) (2016)
Xiaoqiang Xu, Jing Zhang, Qianmu Li
Equalized Interval Centroid Based Watermarking Scheme for Stepping Stone Traceback. DSC (2016)
Jing Zhang, Victor S. Sheng, Jian Wu, Xiaoqin Fu, Xindong Wu
Improving Label Quality in Crowdsourcing Using Noise Correction. CIKM (2015)
Bryce Nicholson, Victor S. Sheng, Jing Zhang
Noise correction of image labeling in crowdsourcing. ICIP (2015)
Jing Zhang, Xindong Wu, Victor S. Sheng
Imbalanced Multiple Noisy Labeling. IEEE Trans. Knowl. Data Eng. 27 (2) (2015)
Bryce Nicholson, Jing Zhang, Victor S. Sheng, Zhiheng Wang
Label noise correction methods. DSAA (2015)
Zhenyu Shu, Victor S. Sheng, Yang Zhang, Dianhong Wang, Jing Zhang, Heng Chen
Integrating Active Learning with Supervision for Crowdsourcing Generalization. ICMLA (2015)
Jing Zhang, Victor S. Sheng, Bryce Nicholson, Xindong Wu
CEKA: a tool for mining the wisdom of crowds. J. Mach. Learn. Res. 16 (2015)
Bryce Nicholson, Victor S. Sheng, Jing Zhang, Zhiheng Wang, Xuefeng Xian
Improving Label Accuracy by Filtering Low-Quality Workers in Crowdsourcing. MICAI (1) (2015)
Jing Zhang, Xindong Wu, Victor S. Sheng
Active Learning With Imbalanced Multiple Noisy Labeling. IEEE Trans. Cybern. 45 (5) (2015)
Biao Liu, Shaohua Lan, Jing Zhang, Guangjie Liu
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 42 (2) (2015)
Jian Wu, Victor S. Sheng, Jing Zhang, Pengpeng Zhao, Zhiming Cui
Multi-label active learning for image classification. ICIP (2014)
Jing Zhang, Xindong Wu, Victor S. Sheng
A threshold method for imbalanced multiple noisy labeling. ASONAM (2013)
Jing Zhang, Xindong Wu, Victor Shengli Sheng
Imbalanced Multiple Noisy Labeling for Supervised Learning. AAAI (2013)
Jing Zhang, Gong-Qing Wu, Xuegang Hu, Xindong Wu
A Distributed Cache for Hadoop Distributed File System in Real-Time Cloud Services. GRID (2012)
Hai-Guang Li, Gong-Qing Wu, Xuegang Hu, Jing Zhang, Lian Li, Xindong Wu
K-Means Clustering with Bagging and MapReduce. HICSS (2011)
Jing Zhang, Gong-Qing Wu, Haiguang Li, Xuegang Hu, Xindong Wu
A 2-Tier Clustering Algorithm with Map-Reduce. ChinaGrid (2010)
Gong-Qing Wu, Hai-Guang Li, Xuegang Hu, Yuan-Jun Bi, Jing Zhang, Xindong Wu
MReC4.5: C4.5 Ensemble Classification with MapReduce. ChinaGrid (2009)