Qin Zhang

Orcid: 0000-0002-1023-480X

Affiliations:
  • Tencent, Data Center for Cloud and Smart Industries Group, Shenzhen, China
  • University of Technology Sydney, Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, NSW, Australia (PhD 2018)
  • Chinese Academy of Science, Research Center on Fictitious Economy and Data Science, Beijing, China (former)


According to our database1, Qin Zhang authored at least 19 papers between 2013 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2022
Brain EEG Time-Series Clustering Using Maximum-Weight Clique.
IEEE Trans. Cybern., 2022

2021
Anomaly detection in dynamic attributed networks.
Neural Comput. Appl., 2021

2020
Measuring Time-Sensitive and Topic-Specific Influence in Social Networks With LSTM and Self-Attention.
IEEE Access, 2020

On-demand Influencer Discovery on Social Media.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Time series feature learning with labeled and unlabeled data.
Pattern Recognit., 2019

Salient Subsequence Learning for Time Series Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

LINEX Support Vector Machine for Large-Scale Classification.
IEEE Access, 2019

2018
Dynamic implicit social recommendation
PhD thesis, 2018

Dual influence embedded social recommendation.
World Wide Web, 2018

2016
Online Learning from Trapezoidal Data Streams.
IEEE Trans. Knowl. Data Eng., 2016

Exploring Heterogeneous Product Networks for Discovering Collective Marketing Hyping Behavior.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Query expansion for exploratory search with subtopic discovery in Community Question Answering.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Unsupervised Feature Learning from Time Series.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Inferring Latent Network from Cascade Data for Dynamic Social Recommendation.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
Towards Mining Trapezoidal Data Streams.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014
ν-Nonparallel support vector machine for pattern classification.
Neural Comput. Appl., 2014

Large-scale linear nonparallel support vector machine solver.
Neurocomputing, 2014

Correlation Analysis for Multiple-dimensional Properties of Water Recourses.
Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

2013
Nonparallel Support Vector Machines for Multiple-Instance Learning.
Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013


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