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ORCIDQing Cheng 0004
Person information
- affiliation: National University of Defense Technology, School of Systems Engineering, Science and Technology on Information Systems Engineering Laboratory, Changsha, China
Other persons with the same name
- Qing Cheng — disambiguation page
- Qing Cheng 0001
![[0009-0007-9117-6800]](https://dblp.org/img/orcid-mark.12x12.png "0009-0007-9117-6800")
— Technical University of Munich, Germany (and 1 more) - Qing Cheng 0002 — China University of Geosciences, School of Computer Science, Wuhan, China (and 1 more)
- Qing Cheng 0003 — Tongji University, Department of Mathematics, Shanghai, China (and 2 more)
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2020 – today
- 2024
[c8]Min Wang, Hao Yang, Jincai Huang, Qing Cheng:
Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks. AAAI 2024: 21681-21689- 2023
- [j5]Qing Cheng, Yanghui Fu, Jincai Huang, Guangquan Cheng, Hang Du:
Event detection based on the label attention mechanism. Int. J. Mach. Learn. Cybern. 14(2): 633-641 (2023) - [c7]Guangming Zhu, Siyuan Wang, Qing Cheng, Kelong Wu, Hao Li, Liang Zhang:
Sketch Input Method Editor: A Comprehensive Dataset and Methodology for Systematic Input Recognition. ACM Multimedia 2023: 1055-1065 - [i1]Guangming Zhu, Siyuan Wang, Qing Cheng, Kelong Wu, Hao Li, Liang Zhang:
Sketch Input Method Editor: A Comprehensive Dataset and Methodology for Systematic Input Recognition. CoRR abs/2311.18254 (2023) - 2022
- [c6]Jie Xie, Qing Cheng, Guangquan Cheng, Jincai Huang:
Detection of anomalies in key performance indicator data by a convolutional long short-term memory prediction model. CACML 2022: 328-336 - [c5]Min Wang, Hao Yang, Qing Cheng:
GCL: Graph Calibration Loss for Trustworthy Graph Neural Network. ACM Multimedia 2022: 988-996 - 2021
- [j4]Guangyin Jin, Hengyu Sha, Yanghe Feng, Qing Cheng, Jincai Huang:
GSEN: An ensemble deep learning benchmark model for urban hotspots spatiotemporal prediction. Neurocomputing 455: 353-367 (2021) - 2020
- [j3]Qing Cheng, Yun Zhou, Yanghe Feng, Zhong Liu:
An unsupervised ensemble framework for node anomaly behavior detection in social network. Soft Comput. 24(9): 6421-6431 (2020) - [c4]Min Wang, Qing Cheng, Jincai Huang, Guangquan Cheng:
Analysis of the European stock market's advance response time to COVID-19 based on Pearson correlation Coefficient. ACAI 2020: 17:1-17:7
2010 – 2019
- 2019
- [c3]Guangyin Jin, Qi Wang, Xia Zhao, Yanghe Feng, Qing Cheng, Jincai Huang:
Crime-GAN: A Context-based Sequence Generative Network for Crime Forecasting with Adversarial Loss. IEEE BigData 2019: 1460-1469 - 2016
- [j2]Qing Cheng, Zhong Liu, Jincai Huang, Guangquan Cheng:
Community detection in hypernetwork via Density-Ordered Tree partition. Appl. Math. Comput. 276: 384-393 (2016) - 2015
- [j1]Qing Cheng, Xin Lu, Zhong Liu, Jincai Huang:
Mining research trends with anomaly detection models: the case of social computing research. Scientometrics 103(2): 453-469 (2015) - 2012
- [c2]Jincai Huang, Qing Cheng, Guangquan Cheng, Zhong Liu, Guoli Yang:
The analysis interface of dynamic network analysis for networked military organizations. ICMLC 2012: 549-554 - [c1]Qing Cheng, Zhong Liu, Jincai Huang, Cheng Zhu, Yanjun Liu:
Hierarchical Clustering Based on Hyper-edge Similarity for Community Detection. Web Intelligence 2012: 238-242
Coauthor Index
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