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Hongjiao Guan
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2020 – today
- 2024
- [j7]Chuanhou Sun, Yongshun Gong
, Ying Guo, Long Zhao, Hongjiao Guan, Xinwang Liu, Xiangjun Dong:
SN-RNSP: Mining self-adaptive nonoverlapping repetitive negative sequential patterns in transaction sequences. Knowl. Based Syst. 287: 111449 (2024) - [c10]Wenpeng Lu, Guobiao Zhang, Xueping Peng, Hongjiao Guan, Shoujin Wang:
Medical Entity Disambiguation with Medical Mention Relation and Fine-grained Entity Knowledge. LREC/COLING 2024: 11148-11158 - [c9]Sibo Wei, Xueping Peng
Multi-view Contrastive Learning for Medical Question Summarization. CSCWD 2024: 1826-1831 - [c8]Zhufeng Shao, Shoujin Wang
Filter-Enhanced Hypergraph Transformer for Multi-Behavior Sequential Recommendation. ICASSP 2024: 6575-6579 - 2023
- [j6]Jiao Liu, Long Zhao, Chengkun Si, Hongjiao Guan, Xiangjun Dong
Improved ReliefF-based feature selection algorithm for cancer histology. Biomed. Signal Process. Control. 85: 104980 (2023) - [j5]Hongjiao Guan, Long Zhao, Xiangjun Dong
Extended natural neighborhood for SMOTE and its variants in imbalanced classification. Eng. Appl. Artif. Intell. 124: 106570 (2023) - [j4]Hongjiao Guan, Xiangjun Dong
Dual objective bounded abstaining model to control performance for safety-critical applications. Eng. Appl. Artif. Intell. 126: 106762 (2023) - [c7]Long Zhao
Ga-RFR: Recurrent Feature Reasoning with Gated Convolution for Chinese Inscriptions Image Inpainting. ICANN (2) 2023: 320-331 - [c6]Yongzheng Ma
Self-Paced Self-Training Based on K-Nearest Neighbors. ICMLCA 2023: 101-107 - [c5]Xin Zhang, Xueping Peng
Fusion of Dynamic Hypergraph and Clinical Event for Sequential Diagnosis Prediction. ICPADS 2023: 1620-1627 - 2022
- [c4]Yangguang Shao, Yingying Sun, Hongjiao Guan:
Dual Self-Paced SMOTE for Imbalanced Data. ICPR 2022: 3083-3089 - 2021
- [j3]Hongjiao Guan, Yingtao Zhang, Min Xian, Heng-Da Cheng, Xianglong Tang:
SMOTE-WENN: Solving class imbalance and small sample problems by oversampling and distance scaling. Appl. Intell. 51(3): 1394-1409 (2021) - [c3]Hongjiao Guan, Bin Ma, Yingtao Zhang, Xianglong Tang:
ExNN-SMOTE: Extended Natural Neighbors Based SMOTE to Deal with Imbalanced Data. ACML 2021: 902-917 - [c2]Hongjiao Guan, Yingtao Zhang, Bin Ma, Jian Li, Chunpeng Wang:
A Generalized Optimization Embedded Framework of Undersampling Ensembles for Imbalanced Classification. DSAA 2021: 1-10 - 2020
- [j2]Hongjiao Guan, Yingtao Zhang, Heng-Da Cheng, Xianglong Tang:
Bounded-abstaining classification for breast tumors in imbalanced ultrasound images. Int. J. Appl. Math. Comput. Sci. 30(2): 325-336 (2020)
2010 – 2019
- 2019
- [j1]Hongjiao Guan, Yingtao Zhang, Heng-Da Cheng, Min Xian
BA2Cs: Bounded abstaining with two constraints of reject rates in binary classification. Neurocomputing 357: 125-134 (2019) - [i2]Hongjiao Guan:
MOBA: A multi-objective bounded-abstention model for two-class cost-sensitive problems. CoRR abs/1905.07297 (2019) - 2018
- [i1]Hongjiao Guan, Yingtao Zhang, Heng-Da Cheng, Xianglong Tang:
Abstaining Classification When Error Costs are Unequal and Unknown. CoRR abs/1806.03445 (2018) - 2016
- [c1]Hongjiao Guan, Yingtao Zhang, Min Xian
WENN for individualized cleaning in imbalanced data. ICPR 2016: 456-461
Coauthor Index
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