Hongjiao Guan

According to our database, Hongjiao Guan authored at least 19 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SN-RNSP: Mining self-adaptive nonoverlapping repetitive negative sequential patterns in transaction sequences.

Chuanhou Sun, Yongshun Gong, Ying Guo, Long Zhao, Hongjiao Guan, Xinwang Liu, Xiangjun Dong

Knowl. Based Syst., 2024

Filter-Enhanced Hypergraph Transformer for Multi-Behavior Sequential Recommendation.

Zhufeng Shao, Shoujin Wang, Wenpeng Lu, Weiyu Zhang, Hongjiao Guan, Long Zhao

Proceedings of the IEEE International Conference on Acoustics, 2024

Multi-view Contrastive Learning for Medical Question Summarization.

Sibo Wei, Xueping Peng, Hongjiao Guan, Lina Geng, Ping Jian, Hao Wu, Wenpeng Lu

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Medical Entity Disambiguation with Medical Mention Relation and Fine-grained Entity Knowledge.

Wenpeng Lu, Guobiao Zhang, Xueping Peng, Hongjiao Guan, Shoujin Wang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Dual objective bounded abstaining model to control performance for safety-critical applications.

Hongjiao Guan, Xiangjun Dong, Chuan Chen, Long Zhao, Xiaoqiang Ren

Eng. Appl. Artif. Intell., November, 2023

Improved ReliefF-based feature selection algorithm for cancer histology.

Jiao Liu, Long Zhao, Chengkun Si, Hongjiao Guan, Xiangjun Dong

Biomed. Signal Process. Control., August, 2023

Extended natural neighborhood for SMOTE and its variants in imbalanced classification.

Hongjiao Guan, Long Zhao, Xiangjun Dong, Chuan Chen

Eng. Appl. Artif. Intell., 2023

Fusion of Dynamic Hypergraph and Clinical Event for Sequential Diagnosis Prediction.

Xin Zhang, Xueping Peng, Hongjiao Guan, Long Zhao, Xinxiao Qiao, Wenpeng Lu

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Self-Paced Self-Training Based on K-Nearest Neighbors.

Yongzheng Ma, Zhengkai Sun, Yintong Zhang, Hongjiao Guan, Xinxiao Qiao

Proceedings of the 4th International Conference on Machine Learning and Computer Application, 2023

Ga-RFR: Recurrent Feature Reasoning with Gated Convolution for Chinese Inscriptions Image Inpainting.

Long Zhao, Yuhao Lou, Zonglong Yuan, Xiangjun Dong, Xiaoqiang Ren, Hongjiao Guan

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

Dual Self-Paced SMOTE for Imbalanced Data.

Yangguang Shao, Yingying Sun, Hongjiao Guan

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

SMOTE-WENN: Solving class imbalance and small sample problems by oversampling and distance scaling.

Hongjiao Guan, Yingtao Zhang, Min Xian, Heng-Da Cheng, Xianglong Tang

Appl. Intell., 2021

A Generalized Optimization Embedded Framework of Undersampling Ensembles for Imbalanced Classification.

Hongjiao Guan, Yingtao Zhang, Bin Ma, Jian Li, Chunpeng Wang

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

ExNN-SMOTE: Extended Natural Neighbors Based SMOTE to Deal with Imbalanced Data.

Hongjiao Guan, Bin Ma, Yingtao Zhang, Xianglong Tang

Proceedings of the Asian Conference on Machine Learning, 2021

2020

Bounded-abstaining classification for breast tumors in imbalanced ultrasound images.

Hongjiao Guan, Yingtao Zhang, Heng-Da Cheng, Xianglong Tang

Int. J. Appl. Math. Comput. Sci., 2020

2019

BA2Cs: Bounded abstaining with two constraints of reject rates in binary classification.

Hongjiao Guan, Yingtao Zhang, Heng-Da Cheng, Min Xian, Xianglong Tang

Neurocomputing, 2019

MOBA: A multi-objective bounded-abstention model for two-class cost-sensitive problems.

Hongjiao Guan

CoRR, 2019

2018

Abstaining Classification When Error Costs are Unequal and Unknown.

Hongjiao Guan, Yingtao Zhang, Heng-Da Cheng, Xianglong Tang

CoRR, 2018

2016

WENN for individualized cleaning in imbalanced data.

Hongjiao Guan, Yingtao Zhang, Min Xian, Heng-Da Cheng, Xianglong Tang

Proceedings of the 23rd International Conference on Pattern Recognition, 2016