Hyperspectral remote sensing image classification with information discriminative extreme learning machine. - Deqin Yan; Yonghe Chu; Lina Li; Deshan Liu (Multim. Tools Appl., 2018)

Information discriminative extreme learning machine. - Deqin Yan; Yonghe Chu; Haiying Zhang; Deshan Liu (Soft Comput., 2018)

Refining Word Representations by Manifold Learning. - Yonghe Chu; Hongfei Lin; Liang Yang 003; Yufeng Diao; Shaowu Zhang 002; Xiaochao Fan (IJCAI, 2019)

Biomedical event trigger detection with convolutional highway neural network and extreme learning machine. - Chen Shen 001; Hongfei Lin; Xiaochao Fan; Yonghe Chu; Zhihao Yang; Jian Wang 021; Shaowu Zhang 002 (Appl. Soft Comput., 2019)

Globality-Locality Preserving Maximum Variance Extreme Learning Machine. - Yonghe Chu; Hongfei Lin; Liang Yang 003; Yufeng Diao; Dongyu Zhang 001; Shaowu Zhang 002; Xiaochao Fan; Chen Shen 001; Deqin Yan (Complex., 2019)

A Graph-boosted Framework for Adverse Drug Event Detection on Twitter. - Chen Shen 001; Hongfei Lin; Zhiheng Li 004; Yonghe Chu; Zhengguang Li; Zhihao Yang (BIBM, 2020)

Improving Social Recommendations with Item Relationships. - Haifeng Liu 002; Hongfei Lin; Bo Xu 009; Liang Yang 003; Yuan Lin 001; Yonghe Chu; Wenqi Fan; Nan Zhao 001 (ICONIP (4), 2020)

AFPun-GAN: Ambiguity-Fluency Generative Adversarial Network for Pun Generation. - Yufeng Diao; Liang Yang 003; Xiaochao Fan; Yonghe Chu; Di Wu 007; Shaowu Zhang 002; Hongfei Lin (NLPCC (1), 2020)

A Multi-Dimension Question Answering Network for Sarcasm Detection. - Yufeng Diao; Hongfei Lin; Liang Yang 003; Xiaochao Fan; Yonghe Chu; Kan Xu; Di Wu 007 (IEEE Access, 2020)

Phonetics and Ambiguity Comprehension Gated Attention Network for Humor Recognition. - Xiaochao Fan; Hongfei Lin; Liang Yang 003; Yufeng Diao; Chen Shen 001; Yonghe Chu; Tongxuan Zhang (Complex., 2020)

Sensitivity-controlled event trigger identification in multi-level biomedical context. - Chen Shen 001; Hongfei Lin; Zhengguang Li; Yonghe Chu; Zhihao Yang (Int. J. Data Min. Bioinform., 2020)

Discriminative globality-locality preserving extreme learning machine for image classification. - Yonghe Chu; Hongfei Lin; Liang Yang 003; Yufeng Diao; Dongyu Zhang 001; Shaowu Zhang 002; Xiaochao Fan; Chen Shen 001; Bo Xu 009; Deqin Yan (Neurocomputing, 2020)

Humor detection via an internal and external neural network. - Xiaochao Fan; Hongfei Lin; Liang Yang 003; Yufeng Diao; Chen Shen 001; Yonghe Chu; Yanbo Zou (Neurocomputing, 2020)

Hyperspectral image classification based on discriminative locality preserving broad learning system. - Yonghe Chu; Hongfei Lin; Liang Yang 003; Dongyu Zhang 001; Yufeng Diao; Xiaochao Fan; Chen Shen 001 (Knowl. Based Syst., 2020)

Fuzzy ELM for classification based on feature space. - Yonghe Chu; Hongfei Lin; Liang Yang 003; Dongyu Zhang 001; Shaowu Zhang 002; Yufeng Diao; Deqin Yan (Multim. Tools Appl., 2020)

Multi-granularity bidirectional attention stream machine comprehension method for emotion cause extraction. - Yufeng Diao; Hongfei Lin; Liang Yang 003; Xiaochao Fan; Yonghe Chu; Di Wu 007; Kan Xu; Bo Xu 009 (Neural Comput. Appl., 2020)

CRHASum: extractive text summarization with contextualized-representation hierarchical-attention summarization network. - Yufeng Diao; Hongfei Lin; Liang Yang 003; Xiaochao Fan; Yonghe Chu; Di Wu 007; Dongyu Zhang 001; Kan Xu (Neural Comput. Appl., 2020)

Locality Preserving Sentence Encoding. - Changrong Min; Yonghe Chu; Liang Yang 003; Bo Xu 009; Hongfei Lin (EMNLP (Findings), 2021)

Mixed Granularity and Variable Mapping based Automatic Software Repair. - Heling Cao; Zhiying Cui; Yangxia Meng; Yonghe Chu; Lei Li (QRS Companion, 2021)

Automated Repair of Java Programs with Random Search via Code Similarity. - Heling Cao; Fangzheng Liu; Jianshu Shi; Yonghe Chu; Miaolei Deng (QRS Companion, 2021)

GAR: Graph adversarial representation for adverse drug event detection on Twitter. - Chen Shen 001; Zhiheng Li 004; Yonghe Chu; Zhongying Zhao (Appl. Soft Comput., 2021)

Hyperspectral image classification with discriminative manifold broad learning system. - Yonghe Chu; Hongfei Lin; Liang Yang 003; Shichang Sun; Yufeng Diao; Changrong Min; Xiaochao Fan; Chen Shen 001 (Neurocomputing, 2021)

Improving biomedical word representation with locally linear embedding. - Di Zhao 003; Jian Wang 021; Yonghe Chu; Yijia Zhang 001; Zhihao Yang; Hongfei Lin (Neurocomputing, 2021)

Sentence representation with manifold learning for biomedical texts. - Di Zhao 003; Jian Wang 021; Hongfei Lin; Yonghe Chu; Yan Wang; Yi-Jia Zhang 001; Zhihao Yang (Knowl. Based Syst., 2021)

Emotion cause detection with enhanced-representation attention convolutional-context network. - Yufeng Diao; Hongfei Lin; Liang Yang 003; Xiaochao Fan; Yonghe Chu; Di Wu 007; Kan Xu (Soft Comput., 2021)

Refining electronic medical records representation in manifold subspace. - Bolin Wang; Yuanyuan Sun 002; Yonghe Chu; Di Zhao 003; Zhihao Yang; Jian Wang 021 (BMC Bioinform., 2022)

Manifold biomedical text sentence embedding. - Bolin Wang; Yuanyuan Sun 002; Yonghe Chu; Hongfei Lin; Di Zhao 003; Liang Yang 003; Chen Shen 001; Zhihao Yang; Jian Wang 021 (Neurocomputing, 2022)

Automatic Repair of Java Programs Weighted Fusion Similarity via Genetic Programming. - Heling Cao; Zhenghaohe He; Yangxia Meng; Yonghe Chu (Inf. Technol. Control., 2022)

Global-locality preserving projection for word embedding. - Bolin Wang; Yuanyuan Sun 002; Yonghe Chu; Zhihao Yang; Hongfei Lin (Int. J. Mach. Learn. Cybern., 2022)

Local sensitive discriminative broad learning system for hyperspectral image classification. - Heling Cao; Changlong Song; Yonghe Chu; Chenyang Zhao; Miaolei Deng; Guangen Liu (Eng. Appl. Artif. Intell., 2023)

Software multiple-fault localization using particle swarm optimization via genetic operation. - Heling Cao; Fei Wang; Miaolei Deng; Xianyong Wang; Yonghe Chu (J. King Saud Univ. Comput. Inf. Sci., 2023)

Automatic Repair of Java Programs with Mixed Granularity and Variable Mapping. - Heling Cao; Zhiying Cui; Miaolei Deng; Yonghe Chu; Yangxia Meng (Inf. Technol. Control., 2023)

Adaptive Context-Embedded Hypergraph Convolutional Network for Session-based Recommendation. - Chenyang Zhao; Heling Cao; Pengtao Lv; Yonghe Chu; Feng Wang; Tianli Liao (Inf. Technol. Control., 2023)

A coincidental correctness test case identification framework with fuzzy C-means clustering. - Heling Cao; Lei Li; Yonghe Chu; Miaolei Deng; Panpan Wang; Chenyang Zhao (Multim. Syst., 2023)

Local discriminative graph convolutional networks for text classification. - Bolin Wang; Yuanyuan Sun 002; Yonghe Chu; Changrong Min; Zhihao Yang; Hongfei Lin (Multim. Syst., 2023)

Software multi-fault localization via Chameleon clustering in parallel. - Heling Cao; Yonghe Chu; Chenyang Zhao; Miaolei Deng (J. King Saud Univ. Comput. Inf. Sci., 2023)

Refined SBERT: Representing sentence BERT in manifold space. - Yonghe Chu; Heling Cao; Yufeng Diao; Hongfei Lin (Neurocomputing, 2023)

Global-local manifold embedding broad graph convolutional network for hyperspectral image classification. - Heling Cao; Jun Cao; Yonghe Chu; Yun Wang; Guangen Liu; Peng Li (Neurocomputing, 2024)

Integrating graph convolutional networks to enhance prompt learning for biomedical relation extraction. - Bocheng Guo; Jiana Meng; Di Zhao 003; Xiangxing Jia; Yonghe Chu; Hongfei Lin (J. Biomed. Informatics, 2024)

Multi-mechanism neural machine translation framework for automatic program repair. - Heling Cao; Dong Han; Yonghe Chu; Fangchao Tian; Yun Wang; Yu Liu; Junliang Jia; Haoyang Ge (J. Intell. Fuzzy Syst., 2024)

Topic-aware cosine graph convolutional neural network for short text classification. - Changrong Min; Yonghe Chu; Hongfei Lin; Bolin Wang; Liang Yang 003; Bo Xu 009 (Soft Comput., 2024)

Global-local graph convolutional broad network for hyperspectral image classification. - Yonghe Chu; Jun Cao; Jiashuang Huang; Hengrong Ju; Guangen Liu; Heling Cao; Weiping Ding 001 (Appl. Soft Comput., 2025)

Few-shot biomedical NER empowered by LLMs-assisted data augmentation and multi-scale feature extraction. - Di Zhao 003; Wenxuan Mu; Xiangxing Jia; Shuang Liu; Yonghe Chu; Jiana Meng; Hongfei Lin (BioData Min., 2025)

FDBFN: Fuzzy discriminative broad fusion network for hyperspectral image classification. - Yonghe Chu; Jun Cao; Weiping Ding 001; Jiashuang Huang; Hengrong Ju; Heling Cao (Expert Syst. Appl., 2025)

Software Defect Prediction Based on Fuzzy Cost Broad Learning System. - Heling Cao; Zhiying Cui; Yonghe Chu; Lina Gong; Guangen Liu; Yun Wang 009; Fangchao Tian; Peng Li; Haoyang Ge (Int. J. Intell. Syst., 2025)

Broad learning systems: An overview of recent advances, applications, challenges and future directions. - Yonghe Chu; Yanlong Guo; Weiping Ding 001; Heling Cao; Peng Ping (Neurocomputing, 2025)

RFBLS: A robust rough fuzzy broad learning system with local neighborhood structure. - Yonghe Chu; Yanlong Guo; Peng Li 011; Weiping Ding 001; Witold Pedrycz; Heling Cao (Neurocomputing, 2025)

RESEARCH NOTES - GMRepair: Graph Mining Template-Based Automated Software Repair. - Heling Cao; Yanlong Guo; Yun Wang 009; Fangchao Tian; Zhaolong Wang; Yonghe Chu; Miaolei Deng; Panpan Wang; Zhenghao He; Shuting Wei (Int. J. Softw. Eng. Knowl. Eng., 2025)

Hyperspectral image classification using feature fusion fuzzy graph broad network. - Yonghe Chu; Jun Cao; Weiping Ding 001; Jiashuang Huang; Hengrong Ju; Heling Cao; Guangen Liu (Inf. Sci., 2025)

Fuzzy Triple Contrastive Learning for Hyperspectral Image Classification. - Yonghe Chu; Zhaolong Wang; Jiangtao Peng; Weiping Ding 001; Heling Cao (IEEE Trans. Geosci. Remote. Sens., 2025)