A novel clustering algorithm based on the natural reverse nearest neighbor structure. - Qi-Zhu Dai; Zhong-Yang Xiong; Jiang Xie 002; Xiao-Xia Wang; Yu-Fang Zhang; Jia-Xing Shang (Inf. Syst., 2019)

A novel graph-based clustering method using noise cutting. - Lin-Tao Li; Zhong-Yang Xiong; Qi-Zhu Dai; Yong-Fang Zha; Yu-Fang Zhang; Jing-Pei Dan (Inf. Syst., 2020)

A new internal index based on density core for clustering validation. - Jiang Xie 002; Zhong-Yang Xiong; Qi-Zhu Dai; Xiao-Xia Wang; Yu-Fang Zhang (Inf. Sci., 2020)

A local-gravitation-based method for the detection of outliers and boundary points. - Jiang Xie 002; Zhongyang Xiong; Qi-Zhu Dai; Xiao-Xia Wang; Yu-Fang Zhang (Knowl. Based Syst., 2020)

A density-core-based clustering algorithm with local resultant force. - Xiao-Xia Wang; Yu-Fang Zhang; Jiang Xie 002; Qi-Zhu Dai; Zhong-Yang Xiong; Jing-Pei Dan (Soft Comput., 2020)

Prompt-Based Self-training Framework for Few-Shot Named Entity Recognition. - Ganghong Huang; Jiang Zhong; Chen Wang 074; Qizhu Dai; Rongzhen Li (KSEM (3), 2022)

CorefDRE: Coref-Aware Document-Level Relation Extraction. - Zhongxuan Xue; Jiang Zhong; Qizhu Dai; Rongzhen Li (KSEM (3), 2022)

ICDT: Incremental Context Guided Deliberation Transformer for Image Captioning. - Xinyi Lai; Yufeng Lyu; Jiang Zhong; Chen Wang 074; Qizhu Dai; Gang Li (PRICAI (2), 2022)

CorefDRE: Document-level Relation Extraction with coreference resolution. - Zhongxuan Xue; Rongzhen Li; Qizhu Dai; Jiang Zhong (CoRR, 2022)

Heterogenous affinity graph inference network for document-level relation extraction. - Rongzhen Li; Jiang Zhong; Zhongxuan Xue; Qizhu Dai; Xue Li 001 (Knowl. Based Syst., 2022)

Fine-Grained Knowledge Enhancement for Empathetic Dialogue Generation. - Ai Chen; Jiang Zhong; Qizhu Dai; Chen Wang 074; Rongzhen Li (ADMA (4), 2023)

Multi-grained Logical Graph Network for Reasoning-Based Machine Reading Comprehension. - Jiaqi Wang; Jiang Zhong; Hong Yin; Chen Wang 074; Qizhu Dai; Yang Xia; Rongzhen Li (ADMA (4), 2023)

Joint Learning-based Multiple Documents Heterogeneous Graph Inference for Biomedical Entity Linking. - Qizhu Dai; Qin Lei; Jiang Zhong; Xue Li 001; Chen Wang 074; Hong Yin; Rongzhen Li (BIBM, 2023)

Adaptive Thresholding based on Multi-task Learning for Refining Binary Medical Image Segmentation. - Qin Lei; Rongzhen Li; Jiang Zhong; Chen Wang 074; Qizhu Dai (BIBM, 2023)

Enhancing Document-Level Relation Extraction with Relation-Specific Entity Representation and Evidence Sentence Augmentation. - Qizhu Dai; Jiang Zhong; Wei Zhu; Chen Wang 074; Hong Yin; Qin Lei; Xue Li 001; Rongzhen Li (ECAI, 2023)

Deep Interactions-Boosted Embeddings for Link Prediction on Knowledge Graph. - Hong Yin; Jiang Zhong; Qizhu Dai (ECAI, 2023)

Commdre: Document-Level Relation Extraction with Self-Supervised Commonsense Learning. - Rongzhen Li; Jiang Zhong; Zhongxuan Xue; Qizhu Dai; Chen Wang 074; Xue Li 001 (ICASSP, 2023)

PRRD: Pixel-Region Relation Distillation For Efficient Semantic Segmentation. - Chen Wang 074; Jiang Zhong; Qizhu Dai; Yafei Qi; Rongzhen Li; Qin Lei; Bin Fang; Xue Li 001 (ICASSP, 2023)

A cross-validation framework to find a better state than the balanced one for oversampling in imbalanced classification. - Qizhu Dai; Donggen Li; Shuyin Xia (Int. J. Mach. Learn. Cybern., 2023)

Local structure consistency and pixel-correlation distillation for compact semantic segmentation. - Chen Wang 074; Jiang Zhong; Qizhu Dai; Rongzhen Li; Qien Yu; Bin Fang (Appl. Intell., 2023)

Channel Correlation Distillation for Compact Semantic Segmentation. - Chen Wang 074; Jiang Zhong; Qizhu Dai; Yafei Qi; Qien Yu; Fengyuan Shi 003; Rongzhen Li; Xue Li 001; Bin Fang (Int. J. Pattern Recognit. Artif. Intell., 2023)

Multi-view knowledge distillation for efficient semantic segmentation. - Chen Wang 074; Jiang Zhong; Qizhu Dai; Yafei Qi; Fengyuan Shi 003; Bin Fang; Xue Li 001 (J. Real Time Image Process., 2023)

MTED: multiple teachers ensemble distillation for compact semantic segmentation. - Chen Wang 074; Jiang Zhong; Qizhu Dai; Qien Yu; Yafei Qi; Bin Fang; Xue Li 001 (Neural Comput. Appl., 2023)

Enhancing Continual Relation Extraction with Concept Aware Dynamic Memory Optimization. - Tianyu Zhou; Rongzhen Li; Jiang Zhong; Qizhu Dai; Yuxuan Liu; Xue Li 001 (APWeb/WAIM (1), 2024)

Contrastive Learning Enhanced Graph Relation Representation for Document-level Relation Extraction. - Qizhu Dai; Jiang Zhong; Kuan Li; Rongzhen Li; Chen Wang 074; Lebin Lv; Wenjun Chen; Xue Li 001 (BIBM, 2024)

Evidence Sentence Augmented Sequence-to-Sequence Method for Document-level Relation Extraction. - Qizhu Dai; Jiang Zhong; Kuan Li; Rongzhen Li; Chen Wang 074; Xuejiao Yang; Sen Yang; Xue Li 001 (BIBM, 2024)

Enriching Information and Preserving Semantic Consistency in Expanding Curvilinear Object Segmentation Datasets. - Qin Lei; Jiang Zhong; Qizhu Dai (ECCV (84), 2024)

Facilitating Message Passing with Potential Links for Knowledge Graph Completion. - Hong Yin; Jiang Zhong; Rongzhen Li; Jiaqi Wang; Chen Wang 074; Qizhu Dai; Xue Li 001 (ICASSP, 2024)

Self-supervised commonsense knowledge learning for document-level relation extraction. - Rongzhen Li; Jiang Zhong; Zhongxuan Xue; Qizhu Dai; Xue Li 001 (Expert Syst. Appl., 2024)

Adaptive class augmented prototype network for few-shot relation extraction. - Rongzhen Li; Jiang Zhong; Wenyue Hu; Qizhu Dai; Chen Wang 074; Wenzhu Wang; Xue Li 001 (Neural Networks, 2024)

Document-level relation extraction via commonsense knowledge enhanced graph representation learning. - Qizhu Dai; Rongzhen Li; Zhongxuan Xue; Xue Li 001; Jiang Zhong (Appl. Intell., 2025)