Qizhu Dai

According to our database, Qizhu Dai authored at least 24 papers between 2019 and 2024.

Collaborative distances:

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

2024

Adaptive class augmented prototype network for few-shot relation extraction.

Rongzhen Li, Jiang Zhong, Wenyue Hu, Qizhu Dai, Chen Wang, Wenzhu Wang, Xue Li

Neural Networks, January, 2024

2023

MTED: multiple teachers ensemble distillation for compact semantic segmentation.

Chen Wang, Jiang Zhong, Qizhu Dai, Qien Yu, Yafei Qi, Bin Fang, Xue Li

Neural Comput. Appl., June, 2023

Multi-view knowledge distillation for efficient semantic segmentation.

Chen Wang, Jiang Zhong, Qizhu Dai, Yafei Qi, Fengyuan Shi, Bin Fang, Xue Li

J. Real Time Image Process., April, 2023

Channel Correlation Distillation for Compact Semantic Segmentation.

Chen Wang, Jiang Zhong, Qizhu Dai, Yafei Qi, Qien Yu, Fengyuan Shi, Rongzhen Li, Xue Li, Bin Fang

Int. J. Pattern Recognit. Artif. Intell., March, 2023

Local structure consistency and pixel-correlation distillation for compact semantic segmentation.

Chen Wang, Jiang Zhong, Qizhu Dai, Rongzhen Li, Qien Yu, Bin Fang

Appl. Intell., March, 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

PRRD: Pixel-Region Relation Distillation For Efficient Semantic Segmentation.

Chen Wang, Jiang Zhong, Qizhu Dai, Yafei Qi, Rongzhen Li, Qin Lei, Bin Fang, Xue Li

Proceedings of the IEEE International Conference on Acoustics, 2023

Commdre: Document-Level Relation Extraction with Self-Supervised Commonsense Learning.

Rongzhen Li, Jiang Zhong, Zhongxuan Xue, Qizhu Dai, Chen Wang, Xue Li

Proceedings of the IEEE International Conference on Acoustics, 2023

Deep Interactions-Boosted Embeddings for Link Prediction on Knowledge Graph.

Hong Yin, Jiang Zhong, Qizhu Dai

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Enhancing Document-Level Relation Extraction with Relation-Specific Entity Representation and Evidence Sentence Augmentation.

Qizhu Dai, Jiang Zhong, Wei Zhu, Chen Wang, Hong Yin, Qin Lei, Xue Li, Rongzhen Li

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Adaptive Thresholding based on Multi-task Learning for Refining Binary Medical Image Segmentation.

Qin Lei, Rongzhen Li, Jiang Zhong, Chen Wang, Qizhu Dai

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Joint Learning-based Multiple Documents Heterogeneous Graph Inference for Biomedical Entity Linking.

Qizhu Dai, Qin Lei, Jiang Zhong, Xue Li, Chen Wang, Hong Yin, Rongzhen Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Multi-grained Logical Graph Network for Reasoning-Based Machine Reading Comprehension.

Jiaqi Wang, Jiang Zhong, Hong Yin, Chen Wang, Qizhu Dai, Yang Xia, Rongzhen Li

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Fine-Grained Knowledge Enhancement for Empathetic Dialogue Generation.

Ai Chen, Jiang Zhong, Qizhu Dai, Chen Wang, Rongzhen Li

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

Heterogenous affinity graph inference network for document-level relation extraction.

Rongzhen Li, Zhong Jiang, Zhongxuan Xue, Qizhu Dai, Xue Li

Knowl. Based Syst., 2022

CorefDRE: Document-level Relation Extraction with coreference resolution.

Zhongxuan Xue, Rongzhen Li, Qizhu Dai, Zhong Jiang

CoRR, 2022

ICDT: Incremental Context Guided Deliberation Transformer for Image Captioning.

Xinyi Lai, Yufeng Lyu, Jiang Zhong, Chen Wang, Qizhu Dai, Gang Li

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

CorefDRE: Coref-Aware Document-Level Relation Extraction.

Zhongxuan Xue, Jiang Zhong, Qizhu Dai, Rongzhen Li

Proceedings of the Knowledge Science, Engineering and Management, 2022

Prompt-Based Self-training Framework for Few-Shot Named Entity Recognition.

Ganghong Huang, Jiang Zhong, Chen Wang, Qizhu Dai, Rongzhen Li

Proceedings of the Knowledge Science, Engineering and Management, 2022

2020

A density-core-based clustering algorithm with local resultant force.

Xiao-Xia Wang, Yu-Fang Zhang, Jiang Xie, Qi-Zhu Dai, Zhong-Yang Xiong, Jing-Pei Dan

Soft Comput., 2020

A local-gravitation-based method for the detection of outliers and boundary points.

Jiang Xie, Zhongyang Xiong, Qi-Zhu Dai, Xiao-Xia Wang, Yu-Fang Zhang

Knowl. Based Syst., 2020

A new internal index based on density core for clustering validation.

Jiang Xie, Zhong-Yang Xiong, Qi-Zhu Dai, Xiao-Xia Wang, Yu-Fang Zhang

Inf. Sci., 2020

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

2019

A novel clustering algorithm based on the natural reverse nearest neighbor structure.

Qi-Zhu Dai, Zhong-Yang Xiong, Jiang Xie, Xiao-Xia Wang, Yu-Fang Zhang, Jia-Xing Shang

Inf. Syst., 2019