Ridong Han

According to our database, Ridong Han authored at least 17 papers between 2021 and 2026.

Collaborative distances:

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

2026

Improving few-shot relation classification with multi-scale hierarchical prototype learning.

Haijia Bi, Lu Liu, Hai Cui, Shengyue Liu, Ridong Han, Jiayu Han, Tao Peng

Neural Networks, 2026

2025

SCR: A completion-then-reasoning framework for multi-hop question answering over incomplete knowledge graph.

Ridong Han, Jia Liu, Haijia Bi, Tao Peng, Lu Liu

Neurocomputing, 2025

Cross-lingual entity alignment based on complex relationships and fine-grained attributes.

Beibei Zhu, Ruijie Tian, Xiaosong Yuan, Ridong Han, Yan Yang, Bo Fu

Appl. Soft Comput., 2025

Dynamic Lightweight Siamese-Prototypical network for few-shot relation classification.

Haijia Bi, Lu Liu, Hai Cui, Ridong Han, Jiayu Han, Tao Peng

Appl. Soft Comput., 2025

2024

Document-level Relation Extraction with Relation Correlations.

Ridong Han, Tao Peng, Benyou Wang, Lu Liu, Prayag Tiwari, Xiang Wan

Neural Networks, 2024

2023

An effective knowledge graph entity alignment model based on multiple information.

Beibei Zhu, Tie Bao, Ridong Han, Hai Cui, Jiayu Han, Lu Liu, Tao Peng

Neural Networks, May, 2023

Reinforcement learning with dynamic completion for answering multi-hop questions over incomplete knowledge graph.

Hai Cui, Tao Peng, Ridong Han, Beibei Zhu, Haijia Bi, Lu Liu

Inf. Process. Manag., May, 2023

Stepwise relation prediction with dynamic reasoning network for multi-hop knowledge graph question answering.

Hai Cui, Tao Peng, Tie Bao, Ridong Han, Jiayu Han, Lu Liu

Appl. Intell., May, 2023

Path-based multi-hop reasoning over knowledge graph for answering questions via adversarial reinforcement learning.

Hai Cui, Tao Peng, Ridong Han, Jiayu Han, Lu Liu

Knowl. Based Syst., 2023

Cross-lingual knowledge graph entity alignment by aggregating extensive structures and specific semantics.

Beibei Zhu, Tie Bao, Jiayu Han, Ridong Han, Lu Liu, Tao Peng

J. Ambient Intell. Humaniz. Comput., 2023

Incorporating anticipation embedding into reinforcement learning framework for multi-hop knowledge graph question answering.

Hai Cui, Tao Peng, Feng Xiao, Jiayu Han, Ridong Han, Lu Liu

Inf. Sci., 2023

Is Information Extraction Solved by ChatGPT? An Analysis of Performance, Evaluation Criteria, Robustness and Errors.

Ridong Han, Tao Peng, Chaohao Yang, Benyou Wang, Lu Liu, Xiang Wan

CoRR, 2023

2022

Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order Perception.

Ridong Han, Tao Peng, Jiayu Han, Hai Cui, Lu Liu

Neural Networks, 2022

Distantly Supervised Relation Extraction using Global Hierarchy Embeddings and Local Probability Constraints.

Tao Peng, Ridong Han, Hai Cui, Lin Yue, Jiayu Han, Lu Liu

Knowl. Based Syst., 2022

Document-level Relation Extraction with Relation Correlations.

Ridong Han, Tao Peng, Benyou Wang, Lu Liu, Xiang Wan

CoRR, 2022

Synchronously tracking entities and relations in a syntax-aware parallel architecture for aspect-opinion pair extraction.

Yue Zhang, Tao Peng, Ridong Han, Jiayu Han, Lin Yue, Lu Liu

Appl. Intell., 2022

2021

Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order Perception.

Ridong Han, Tao Peng, Jiayu Han, Lin Yue, Hai Cui, Lu Liu

CoRR, 2021