Ridong Han

19 papers A 1Journal 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
Document-level relation extraction with entity type constraints.
Neural Networks
Ridong Han, Tao Peng, Beibei Zhu, Haijia Bi, Jiayu Han, Xinzheng Xu, Lu Liu
2026 J jnl
Improving few-shot relation classification with multi-scale hierarchical prototype learning.
Neural Networks
Haijia Bi, Lu Liu, Hai Cui, Shengyue Liu, Ridong Han, Jiayu Han, Tao Peng
2025 J jnl
Cross-lingual entity alignment based on complex relationships and fine-grained attributes.
Appl. Soft Comput.
Beibei Zhu, Ruijie Tian, Xiaosong Yuan, Ridong Han, Yan Yang, Bo Fu
2025 A conf
Determined Multi-Label Learning via Similarity-Based Prompt.
ICME
Meng Wei, Zhongnian Li, Peng Ying, Ridong Han, Tongfeng Sun, Xinzheng Xu
2025 J jnl
Dynamic Lightweight Siamese-Prototypical network for few-shot relation classification.
Appl. Soft Comput.
Haijia Bi, Lu Liu, Hai Cui, Ridong Han, Jiayu Han, Tao Peng
2025 J jnl
SCR: A completion-then-reasoning framework for multi-hop question answering over incomplete knowledge graph.
Neurocomputing
Ridong Han, Jia Liu, Haijia Bi, Tao Peng, Lu Liu
2024 J jnl
Document-level Relation Extraction with Relation Correlations.
Neural Networks
Ridong Han, Tao Peng, Benyou Wang, Lu Liu, Prayag Tiwari, Xiang Wan
2023 J jnl
An effective knowledge graph entity alignment model based on multiple information.
Neural Networks
Beibei Zhu, Tie Bao, Ridong Han, Hai Cui, Jiayu Han, Lu Liu, Tao Peng
2023 J jnl
Cross-lingual knowledge graph entity alignment by aggregating extensive structures and specific semantics.
J. Ambient Intell. Humaniz. Comput.
Beibei Zhu, Tie Bao, Jiayu Han, Ridong Han, Lu Liu, Tao Peng
2023 J jnl
Incorporating anticipation embedding into reinforcement learning framework for multi-hop knowledge graph question answering.
Inf. Sci.
Hai Cui, Tao Peng, Feng Xiao, Jiayu Han, Ridong Han, Lu Liu
2023 J jnl
Is Information Extraction Solved by ChatGPT? An Analysis of Performance, Evaluation Criteria, Robustness and Errors.
CoRR
Ridong Han, Tao Peng, Chaohao Yang, Benyou Wang, Lu Liu, Xiang Wan
2023 J jnl
Path-based multi-hop reasoning over knowledge graph for answering questions via adversarial reinforcement learning.
Knowl. Based Syst.
Hai Cui, Tao Peng, Ridong Han, Jiayu Han, Lu Liu
2023 J jnl
Reinforcement learning with dynamic completion for answering multi-hop questions over incomplete knowledge graph.
Inf. Process. Manag.
Hai Cui, Tao Peng, Ridong Han, Beibei Zhu, Haijia Bi, Lu Liu
2023 J jnl
Stepwise relation prediction with dynamic reasoning network for multi-hop knowledge graph question answering.
Appl. Intell.
Hai Cui, Tao Peng, Tie Bao, Ridong Han, Jiayu Han, Lu Liu
2022 J jnl
Distantly Supervised Relation Extraction using Global Hierarchy Embeddings and Local Probability Constraints.
Knowl. Based Syst.
Tao Peng, Ridong Han, Hai Cui, Lin Yue, Jiayu Han, Lu Liu
2022 J jnl
Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order Perception.
Neural Networks
Ridong Han, Tao Peng, Jiayu Han, Hai Cui, Lu Liu
2022 J jnl
Document-level Relation Extraction with Relation Correlations.
CoRR
Ridong Han, Tao Peng, Benyou Wang, Lu Liu, Xiang Wan
2022 J jnl
Synchronously tracking entities and relations in a syntax-aware parallel architecture for aspect-opinion pair extraction.
Appl. Intell.
Yue Zhang, Tao Peng, Ridong Han, Jiayu Han, Lin Yue, Lu Liu
2021 J jnl
Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order Perception.
CoRR
Ridong Han, Tao Peng, Jiayu Han, Lin Yue, Hai Cui, Lu Liu