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2020 – today
- 2025
[j7]Jiaxing Shang
, Xiaoquan Li, Ruixiang Zhang, Linjiang Zheng, Xu Li, Riquan Zhang, Xinbin Zhao, Fan Li, Hong Sun:
A Dual Two-Stage Attention-based Model for interpretable hard landing prediction from flight data. Eng. Appl. Artif. Intell. 154: 110911 (2025)- [j6]Xiaoxiang Li, Xinyu Jiang, Hai Wan, Xinbin Zhao:
TeRed: Normal Behavior-Based Efficient Provenance Graph Reduction for Large-Scale Attack Forensics. IEEE Trans. Inf. Forensics Secur. 20: 9463-9476 (2025) - 2024
- [j5]Yan Zhong, Tong Liu, Fang Fang, Jia Ge, Bohao Xu, Xinbin Zhao:
Hard Landing Pattern Recognition and Precaution With QAR Data by Functional Data Analysis. IEEE Trans. Aerosp. Electron. Syst. 60(4): 5101-5113 (2024) - 2023
- [j4]Haodong Chen, Jiaxing Shang, Linjiang Zheng, Xu Li, Xiaodong Liu, Hong Sun, Xinbin Zhao, Liling Yu:
SDTAN: Scalable Deep Time-Aware Attention Network for Interpretable Hard Landing Prediction. IEEE Trans. Intell. Transp. Syst. 24(9): 10211-10223 (2023)
2010 – 2019
- 2017
- [j3]Xinbin Zhao, Naiyang Deng, Ling Jing:
Application of image recognition in civil aviation security based on tensor learning. J. Intell. Fuzzy Syst. 33(4): 2145-2157 (2017) - [c1]Yunan Luo, Xinbin Zhao, Jingtian Zhou, Jinling Yang, Yanqing Zhang, Wenhua Kuang, Jian Peng, Ligong Chen, Jianyang Zeng:
A Network Integration Approach for Drug-Target Interaction Prediction and Computational Drug Repositioning from Heterogeneous Information. RECOMB 2017: 383-384 - 2016
- [j2]Haifa Shi, Xinbin Zhao, Ling Zhen, Ling Jing:
Twin Bounded Support Tensor Machine for Classification. Int. J. Pattern Recognit. Artif. Intell. 30(1): 1650002:1-1650002:20 (2016) - 2014
- [j1]Ting Ke, Lujia Song, Bing Yang, Xinbin Zhao, Ling Jing:
Building a Biased Least Squares Support Vector Machine Classifier for Positive and Unlabeled Learning. J. Softw. 9(6): 1494-1502 (2014)
Coauthor Index
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