Yongquan He

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Temporal Knowledge

Named Entity Recognition

Multiple Representations

Top Venues

EMNLP (Findings)

Publications

Yongquan He, Zihan Wang, Peng Zhang, Zhaopeng Tu, Zhaochun Ren
VN Network: Embedding Newly Emerging Entities with Virtual Neighbors. CoRR (2024)
Yifu Gao, Linbo Qiao, Zhigang Kan, Zhihua Wen, Yongquan He, Dongsheng Li
Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models. ACL (Findings) (2024)
Yongquan He, Xuancheng Huang, Minghao Tang, Lingxun Meng, Xiang Li, Wei Lin, Wenyuan Zhang, Yifu Gao
Don't Half-listen: Capturing Key-part Information in Continual Instruction Tuning. CoRR (2024)
Chen Gao, Xugong Qin, Peng Zhang, Yongquan He, Xinjian Huang, Ming Zhou, Liehuang Zhu, Qingfeng Tan
MHPS: Multimodality-Guided Hierarchical Policy Search for Knowledge Graph Reasoning. ICASSP (2024)
Yifu Gao, Linbo Qiao, Zhigang Kan, Zhihua Wen, Yongquan He, Dongsheng Li
Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models. CoRR (2024)
Yongquan He, Peng Zhang, Luchen Liu, Qi Liang, Wenyuan Zhang, Chuang Zhang
HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph. CoRR (2024)
Minghao Tang, Yongquan He, Yongxiu Xu, Hongbo Xu, Wenyuan Zhang, Yang Lin
Learning to Correct Noisy Labels for Fine-Grained Entity Typing via Co-Prediction Prompt Tuning. EMNLP (Findings) (2023)
Yifu Gao, Yongquan He, Zhigang Kan, Yi Han, Linbo Qiao, Dongsheng Li
Learning Joint Structural and Temporal Contextualized Knowledge Embeddings for Temporal Knowledge Graph Completion. ACL (Findings) (2023)
Minghao Tang, Yongquan He, Yongxiu Xu, Hongbo Xu, Wenyuan Zhang, Yang Lin
A Boundary Offset Prediction Network for Named Entity Recognition. EMNLP (Findings) (2023)
Zihan Wang, Kai Zhao, Yongquan He, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations. CIKM (2023)
Zihan Wang, Kai Zhao, Yongquan He, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations. CoRR (2023)
Minghao Tang, Yongquan He, Yongxiu Xu, Hongbo Xu, Wenyuan Zhang, Yang Lin
Learning to Correct Noisy Labels for Fine-Grained Entity Typing via Co-Prediction Prompt Tuning. CoRR (2023)
Minghao Tang, Yongquan He, Yongxiu Xu, Hongbo Xu, Wenyuan Zhang, Yang Lin
A Boundary Offset Prediction Network for Named Entity Recognition. CoRR (2023)
Xiaohan Xu, Peng Zhang, Yongquan He, Chengpeng Chao, Chaoyang Yan
Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge Graphs. IJCAI (2022)
Xiaohan Xu, Peng Zhang, Yongquan He, Chengpeng Chao, Chaoyang Yan
Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge Graphs. CoRR (2022)
Minghao Tang, Peng Zhang, Yongquan He, Yongxiu Xu, Chengpeng Chao, Hongbo Xu
DoSEA: A Domain-specific Entity-aware Framework for Cross-Domain Named Entity Recogition. COLING (2022)
Yongquan He, Peng Zhang, Luchen Liu, Qi Liang, Wenyuan Zhang, Chuang Zhang
HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph. IJCAI (2021)
Yongquan He, Zhihan Wang, Peng Zhang, Zhaopeng Tu, Zhaochun Ren
VN Network: Embedding Newly Emerging Entities with Virtual Neighbors. CIKM (2020)
Qi Liang, Dan Luo, Lu Ma, Peng Zhang, Meilin Zhou, Yongquan He, Bin Wang
RolNE: Improving the Quality of Network Embedding with Structural Role Proximity. WISE (1) (2020)