Ridong Han
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- China University of Mining and Technologyas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0001-6842-7084
- OpenAlex ID
- A5046505118as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 9
An effective knowledge graph entity alignment model based on multiple information,
Distantly Supervised Relation Extraction using Global Hierarchy Embeddings and Local Probability Constraints,
Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order Perception,
Document-level Relation Extraction with Relation Correlations,
Incorporating anticipation embedding into reinforcement learning framework for multi-hop knowledge graph question answering,
Path-based multi-hop reasoning over knowledge graph for answering questions via adversarial reinforcement learning,
Reinforcement learning with dynamic completion for answering multi-hop questions over incomplete knowledge graph,
Stepwise relation prediction with dynamic reasoning network for multi-hop knowledge graph question answering
+1 more
← Authored by 9
An effective knowledge graph entity alignment model based on multiple information,
Distantly Supervised Relation Extraction using Global Hierarchy Embeddings and Local Probability Constraints,
Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order Perception,
Document-level Relation Extraction with Relation Correlations,
Incorporating anticipation embedding into reinforcement learning framework for multi-hop knowledge graph question answering,
Path-based multi-hop reasoning over knowledge graph for answering questions via adversarial reinforcement learning,
Reinforcement learning with dynamic completion for answering multi-hop questions over incomplete knowledge graph,
Stepwise relation prediction with dynamic reasoning network for multi-hop knowledge graph question answering
+1 more
Press Enter · cited answer in seconds
0 sources
Summary
Ridong Han is a human[1].