WENN for individualized cleaning in imbalanced data. - Hongjiao Guan; Yingtao Zhang; Min Xian; Heng-Da Cheng; Xianglong Tang (ICPR, 2016)

Abstaining Classification When Error Costs are Unequal and Unknown. - Hongjiao Guan; Yingtao Zhang; Heng-Da Cheng; Xianglong Tang (CoRR, 2018)

MOBA: A multi-objective bounded-abstention model for two-class cost-sensitive problems. - Hongjiao Guan (CoRR, 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)

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)

ExNN-SMOTE: Extended Natural Neighbors Based SMOTE to Deal with Imbalanced Data. - Hongjiao Guan; Bin Ma 003; Yingtao Zhang; Xianglong Tang (ACML, 2021)

A Generalized Optimization Embedded Framework of Undersampling Ensembles for Imbalanced Classification. - Hongjiao Guan; Yingtao Zhang; Bin Ma 003; Jian Li 034; Chunpeng Wang 001 (DSAA, 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)

Dual Self-Paced SMOTE for Imbalanced Data. - Yangguang Shao; Yingying Sun; Hongjiao Guan (ICPR, 2022)

Ga-RFR: Recurrent Feature Reasoning with Gated Convolution for Chinese Inscriptions Image Inpainting. - Long Zhao 002; Yuhao Lou; Zonglong Yuan; Xiangjun Dong 001; Xiaoqiang Ren; Hongjiao Guan (ICANN (2), 2023)

Self-Paced Self-Training Based on K-Nearest Neighbors. - Yongzheng Ma; Zhengkai Sun; Yintong Zhang; Hongjiao Guan; Xinxiao Qiao (ICMLCA, 2023)

Fusion of Dynamic Hypergraph and Clinical Event for Sequential Diagnosis Prediction. - Xin Zhang; Xueping Peng; Hongjiao Guan; Long Zhao 002; Xinxiao Qiao; Wenpeng Lu (ICPADS, 2023)

Extended natural neighborhood for SMOTE and its variants in imbalanced classification. - Hongjiao Guan; Long Zhao 002; Xiangjun Dong 001; Chuan Chen (Eng. Appl. Artif. Intell., 2023)

Improved ReliefF-based feature selection algorithm for cancer histology. - Jiao Liu; Long Zhao 002; Chengkun Si; Hongjiao Guan; Xiangjun Dong 001 (Biomed. Signal Process. Control., 2023)

Dual objective bounded abstaining model to control performance for safety-critical applications. - Hongjiao Guan; Xiangjun Dong 001; Chuan Chen; Long Zhao 002; Xiaoqiang Ren (Eng. Appl. Artif. Intell., 2023)

Medical Entity Disambiguation with Medical Mention Relation and Fine-grained Entity Knowledge. - Wenpeng Lu; Guobiao Zhang; Xueping Peng; Hongjiao Guan; Shoujin Wang (LREC/COLING, 2024)

Multi-view Contrastive Learning for Medical Question Summarization. - Sibo Wei; Xueping Peng; Hongjiao Guan; Lina Geng; Ping Jian; Hao Wu 066; Wenpeng Lu (CSCWD, 2024)

Filter-Enhanced Hypergraph Transformer for Multi-Behavior Sequential Recommendation. - Zhufeng Shao; Shoujin Wang; Wenpeng Lu; Weiyu Zhang 001; Hongjiao Guan; Long Zhao 002 (ICASSP, 2024)

SN-RNSP: Mining self-adaptive nonoverlapping repetitive negative sequential patterns in transaction sequences. - Chuanhou Sun; Yongshun Gong; Ying Guo; Long Zhao 002; Hongjiao Guan; Xinwang Liu 002; Xiangjun Dong 001 (Knowl. Based Syst., 2024)

HiRes: Hierarchical Feature Optimization and Rescorer for Automatic ICD Coding. - Zhenpeng Liang; Hongjiao Guan; Wenpeng Lu; Xueping Peng; Bing Xu; Muyun Yang (ICASSP, 2025)

MedConMA: A Confidence-Driven Multi-agent Framework for Medical Q&A. - Rui Wang; Yonghe Chen; Weiyu Zhang 001; Jiasheng Si; Hongjiao Guan; Xueping Peng; Wenpeng Lu (PAKDD (3), 2025)

SRLCG: Self-Rectified Large-Scale Code Generation with Multidimensional Chain-of-Thought and Dynamic Backtracking. - Hongru Ma; Yanjie Liang; Jiasheng Si; Weiyu Zhang 001; Hongjiao Guan; Chaoqun Zheng; Bing Xu; Wenpeng Lu (CoRR, 2025)