Feihu Che

According to our database, Feihu Che authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

2024

M2ixKG: Mixing for harder negative samples in knowledge graph.

Feihu Che, Jianhua Tao

Neural Networks, 2024

Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models.

Jinyang Wu, Feihu Che, Chuyuan Zhang, Jianhua Tao, Shuai Zhang, Pengpeng Shao

CoRR, 2024

Can large language models understand uncommon meanings of common words?

Jinyang Wu, Feihu Che, Xinxin Zheng, Shuai Zhang, Ruihan Jin, Shuai Nie, Pengpeng Shao, Jianhua Tao

CoRR, 2024

KS-LLM: Knowledge Selection of Large Language Models with Evidence Document for Question Answering.

Xinxin Zheng, Feihu Che, Jinyang Wu, Shuai Zhang, Shuai Nie, Kang Liu, Jianhua Tao

CoRR, 2024

Multi-stage Vs Single-Stage: A Local Information Focused Approach for Overlapping Event Extraction.

Shuaihu Han, Guohua Yang, Dawei Zhang, Jianhua Tao, Feihu Che

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023

Adaptive pseudo-Siamese policy network for temporal knowledge prediction.

Pengpeng Shao, Tong Liu, Feihu Che, Dawei Zhang, Jianhua Tao

Neural Networks, March, 2023

2022

Tucker decomposition-based temporal knowledge graph completion.

Pengpeng Shao, Dawei Zhang, Guohua Yang, Jianhua Tao, Feihu Che, Tong Liu

Knowl. Based Syst., 2022

MixKG: Mixing for harder negative samples in knowledge graph.

Feihu Che, Guohua Yang, Pengpeng Shao, Dawei Zhang, Jianhua Tao

CoRR, 2022

2021

Multi-aspect self-supervised learning for heterogeneous information network.

Feihu Che, Jianhua Tao, Guohua Yang, Tong Liu, Dawei Zhang

Knowl. Based Syst., 2021

Self-supervised graph representation learning via bootstrapping.

Feihu Che, Guohua Yang, Dawei Zhang, Jianhua Tao, Tong Liu

Neurocomputing, 2021

Knowledge graph enhanced recommender system.

Zepeng Huai, Jianhua Tao, Feihu Che, Guohua Yang, Dawei Zhang

CoRR, 2021

Multi-Level Graph Contrastive Learning.

Pengpeng Shao, Tong Liu, Dawei Zhang, Jianhua Tao, Feihu Che, Guohua Yang

CoRR, 2021

2020

Self-supervised Graph Representation Learning via Bootstrapping.

Feihu Che, Guohua Yang, Dawei Zhang, Jianhua Tao, Pengpeng Shao, Tong Liu

CoRR, 2020

ParamE: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion.

Feihu Che, Dawei Zhang, Jianhua Tao, Mingyue Niu, Bocheng Zhao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020