Minghao Hu

About Minghao Hu

Minghao Hu, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at National University of Defense Technology, specializes in the field of Question Answering, Information Extraction, Knowledge Graph.

His recent articles reflect a diverse array of research interests and contributions to the field:

KC-GenRe: A Knowledge-constrained Generative Re-ranking Method Based on Large Language Models for Knowledge Graph Completion

Controllable Template Generation for Document-level Event Extraction

T 2 -NER: A Two-Stage Span-Based Framework for Unified Named Entity Recognition with Templates

Label-Guided Compressed Prototypical Network for Incremental Few-Shot Text Classification

国防科技领域两阶段开放信息抽取方法

A canonicalization-enhanced known fact-aware framework for open knowledge graph link prediction

Multi-level Contrastive Learning for Commonsense Question Answering

MCL: Multi-granularity contrastive learning framework for Chinese NER

Minghao Hu Information

University

Position

PLA Academy of Military Science

Citations(all)

1177

Citations(since 2020)

1073

Cited By

491

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Minghao Hu Skills & Research Interests

Question Answering

Information Extraction

Knowledge Graph

Top articles of Minghao Hu

KC-GenRe: A Knowledge-constrained Generative Re-ranking Method Based on Large Language Models for Knowledge Graph Completion

arXiv preprint arXiv:2403.17532

2024/3/26

Controllable Template Generation for Document-level Event Extraction

2024/1/19

T 2 -NER: A Two-Stage Span-Based Framework for Unified Named Entity Recognition with Templates

Transactions of the Association for Computational Linguistics

2023/10/20

Label-Guided Compressed Prototypical Network for Incremental Few-Shot Text Classification

2023/10/8

Minghao Hu
Minghao Hu

H-Index: 7

Wei Luo
Wei Luo

H-Index: 14

国防科技领域两阶段开放信息抽取方法

清华大学学报 (自然科学版)

2023/8/19

A canonicalization-enhanced known fact-aware framework for open knowledge graph link prediction

2023/8/19

Multi-level Contrastive Learning for Commonsense Question Answering

2023/8/9

MCL: Multi-granularity contrastive learning framework for Chinese NER

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

Decoupled Two-Phase Framework for Class-Incremental Few-Shot Named Entity Recognition

Tsinghua Science and Technology

2023/5/19

Structure Enhanced Path Reasoning for Knowledge Graph Completion

International Journal of Intelligent Systems

2023/5/17

HSS: A Hierarchical Semantic Similarity Hard Negative Sampling Method for Dense Retrievers

2023/1/9

Relational Context Enhanced Dual Path Reasoning for Fact Prediction in Knowledge Graph

2022/12/15

Similarity-Driven Adaptive Prototypical Network for Class-incremental Few-shot Named Entity Recognition

2022/10/31

Adaptive threshold selective self-attention for Chinese NER

2022/10

Deep-to-Bottom Weights Decay: A Systemic Knowledge Review Learning Technique for Transformer Layers in Knowledge Distillation

2022/7/19

Extract-select: A span selection framework for nested named entity recognition with generative adversarial training

2022/5

Enhancing Chinese character representation with lattice-aligned attention

IEEE Transactions on Neural Networks and Learning Systems

2021/10/5

Dynamic modeling cross-modal interactions in two-phase prediction for entity-relation extraction

IEEE Transactions on Neural Networks and Learning Systems

2021/8/25

Dynamic modeling cross-and self-lattice attention network for Chinese NER

Proceedings of the AAAI Conference on Artificial Intelligence

2021/5/18

See List of Professors in Minghao Hu University(National University of Defense Technology)

Co-Authors

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