Jing Zhang
机构: Professor, Southeast University
每年引用次数
引用次数
引用: 2,228
H-指数: 27
I10-指数 : 41
出版物: 97
Imbalanced multiple noisy labeling for supervised learning
Victor S. Sheng , Xindong Wu , Jing Zhang
national conference on artificial intelligence 1651 -1652
3
2013
Knowledge Transfer Using User-Generated Data within Real-Time Cloud Services
Jianhan Pan , Zhicheng Cai , Lin Cui , Min Li
Ksii Transactions on Internet and Information Systems 14 ( 1) 77 -92
2020
Distributed classification for imbalanced big data in distributed environments
Jing Zhang , Changsheng Wu , Huihui Wang , Mingfei Xiao
Wireless Networks 1 -12
2021
LineaRE: Simple but Powerful Knowledge Graph Embedding for Link Prediction
Jing Zhang , Yanhui Peng
international conference on data mining 422 -431
2020
Multi-label Graph Node Classification with Label Attentive Neighborhood Convolution
Victor S. Sheng , Qianmu Li , Jing Zhang , Cangqi Zhou
Expert Systems With Applications 180 115063
2021
Task allocation for unmanned aerial vehicles in mobile crowdsensing
Jing Zhang , Shunmei Meng , Jian Xu , Sunyue Xu
Wireless Networks 1 -13
7
2021
Multiclass imbalanced learning with one-versus-one decomposition and spectral clustering
Qianmu Li , Yanjun Song , Jing Zhang , Victor S. Sheng
Expert Systems With Applications 147 113152
38
2020
A threshold method for imbalanced multiple noisy labeling
Jing Zhang , Xindong Wu , Victor S. Sheng
advances in social networks analysis and mining 61 -65
3
2013
A novel data-driven stock price trend prediction system
Jing Zhang , Shicheng Cui , Yan Xu , Qianmu Li
Expert Systems With Applications 97 60 -69
120
2018
Active learning with label correlation exploration for multi-label image classification
Pengpeng Zhao , Zhiming Cui , Jian Wu , Chen Ye
Iet Computer Vision 11 ( 7) 577 -584
18
2017
Noise correction of image labeling in crowdsourcing
Bryce Nicholson , Victor S. Sheng , Jing Zhang
2015 IEEE International Conference on Image Processing (ICIP) 1458 -1462
1
2015
Multi-Label Active Learning Algorithms for Image Classification: Overview and Future Promise
Jian Wu , Victor S. Sheng , Jing Zhang , Hua Li
ACM Computing Surveys 53 ( 2) 1 -35
46
2020
A Cost-sensitive Active Learning for Imbalance Data with Uncertainty and Diversity Combination
Huailong Dong , Bowen Zhu , Jing Zhang
international conference on machine learning 218 -224
6
2020
Improving Crowdsourced Label Quality Using Noise Correction
Jing Zhang , Victor S. Sheng , Tao Li , Xindong Wu
IEEE Transactions on Neural Networks 29 ( 5) 1675 -1688
79
2018
Crowdsourced Label Aggregation Using Bilayer Collaborative Clustering
Jing Zhang , Victor S. Sheng , Jian Wu
IEEE Transactions on Neural Networks 30 ( 10) 3172 -3185
24
2019
Multi-Label Truth Inference for Crowdsourcing Using Mixture Models
Jing Zhang , Xindong Wu
IEEE Transactions on Knowledge and Data Engineering 33 1 -1
12
2019
Ensemble Learning from Crowds
Jing Zhang , Ming Wu , Victor S. Sheng
IEEE Transactions on Knowledge and Data Engineering 31 ( 8) 1506 -1519
22
2019
DMFA-SR: Deeper Membership and Friendship Awareness for Social Recommendation
Lin Cui , Dechang Pi , Jing Zhang
IEEE Access 5 8904 -8915
4
2017
AITSteg: An Innovative Text Steganography Technique for Hidden Transmission of Text Message via Social Media
Milad Taleby Ahvanooey , Qianmu Li , Jun Hou , Hassan Dana Mazraeh
IEEE Access 6 65981 -65995
50
2018
Integrating Active Learning with Supervision for Crowdsourcing Generalization
Zhenyu Shu , Victor S. Sheng , Yang Zhang , Dianhong Wang
international conference on machine learning and applications 232 -237
4
2015