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Journal Articles
- 2024
[j5]Feihu Che, Jianhua Tao:
M2ixKG: Mixing for harder negative samples in knowledge graph. Neural Networks 177: 106358 (2024)- 2023
- [j4]Pengpeng Shao, Tong Liu, Feihu Che, Dawei Zhang, Jianhua Tao:
Adaptive pseudo-Siamese policy network for temporal knowledge prediction. Neural Networks 160: 192-201 (2023) - 2022
- [j3]Pengpeng Shao, Dawei Zhang, Guohua Yang, Jianhua Tao, Feihu Che, Tong Liu:
Tucker decomposition-based temporal knowledge graph completion. Knowl. Based Syst. 238: 107841 (2022) - 2021
- [j2]Feihu Che, Guohua Yang, Dawei Zhang, Jianhua Tao, Tong Liu:
Self-supervised graph representation learning via bootstrapping. Neurocomputing 456: 88-96 (2021) - [j1]Feihu Che, Jianhua Tao, Guohua Yang, Tong Liu, Dawei Zhang:
Multi-aspect self-supervised learning for heterogeneous information network. Knowl. Based Syst. 233: 107474 (2021)
Conference and Workshop Papers
- 2024
- [c2]Shuaihu Han, Guohua Yang, Dawei Zhang, Jianhua Tao, Feihu Che:
Multi-stage Vs Single-Stage: A Local Information Focused Approach for Overlapping Event Extraction. ICANN (7) 2024: 277-291 - 2020
- [c1]Feihu Che, Dawei Zhang, Jianhua Tao, Mingyue Niu, Bocheng Zhao:
ParamE: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion. AAAI 2020: 2774-2781
Informal and Other Publications
- 2024
- [i9]Xinxin Zheng, Feihu Che, Jinyang Wu, Shuai Zhang, Shuai Nie, Kang Liu, Jianhua Tao:
KS-LLM: Knowledge Selection of Large Language Models with Evidence Document for Question Answering. CoRR abs/2404.15660 (2024) - [i8]Jinyang Wu, Feihu Che, Xinxin Zheng, Shuai Zhang, Ruihan Jin, Shuai Nie, Pengpeng Shao, Jianhua Tao:
Can large language models understand uncommon meanings of common words? CoRR abs/2405.05741 (2024) - [i7]Jinyang Wu, Feihu Che, Chuyuan Zhang, Jianhua Tao, Shuai Zhang, Pengpeng Shao:
Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models. CoRR abs/2408.13533 (2024) - 2022
- [i6]Feihu Che, Guohua Yang, Pengpeng Shao, Dawei Zhang, Jianhua Tao:
MixKG: Mixing for harder negative samples in knowledge graph. CoRR abs/2202.09606 (2022) - [i5]Pengpeng Shao, Tong Liu, Feihu Che, Dawei Zhang, Jianhua Tao:
Adaptive Pseudo-Siamese Policy Network for Temporal Knowledge Prediction. CoRR abs/2204.12036 (2022) - 2021
- [i4]Pengpeng Shao, Tong Liu, Dawei Zhang, Jianhua Tao, Feihu Che, Guohua Yang:
Multi-Level Graph Contrastive Learning. CoRR abs/2107.02639 (2021) - [i3]Zepeng Huai, Jianhua Tao, Feihu Che, Guohua Yang, Dawei Zhang:
Knowledge graph enhanced recommender system. CoRR abs/2112.09425 (2021) - 2020
- [i2]Feihu Che, Guohua Yang, Dawei Zhang, Jianhua Tao, Pengpeng Shao, Tong Liu:
Self-supervised Graph Representation Learning via Bootstrapping. CoRR abs/2011.05126 (2020) - [i1]Pengpeng Shao, Guohua Yang, Dawei Zhang, Jianhua Tao, Feihu Che, Tong Liu:
Tucker decomposition-based Temporal Knowledge Graph Completion. CoRR abs/2011.07751 (2020)
Coauthor Index
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