Feihu Che

According to our database, Feihu Che authored at least 23 papers between 2020 and 2025.

Collaborative distances:

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

2025

Hard or False: Keep the Balance for Negative Sampling in Knowledge Graphs.

Feihu Che, Jianhua Tao, Qionghai Dai

IEEE Trans. Knowl. Data Eng., June, 2025

ELDeR: Getting Efficient LLMs through Data-Driven Regularized Layer-wise Pruning.

Mingkuan Feng, Jinyang Wu, Siyuan Liu, Shuai Zhang, Hongjian Fang, Ruihan Jin, Feihu Che, Pengpeng Shao, Zhengqi Wen, Jianhua Tao

CoRR, May, 2025

A Comprehensive Survey of Few-shot Information Networks.

Xinxin Zheng, Feihu Che, Jianhua Tao

Mach. Intell. Res., February, 2025

Boosting Multimodal Reasoning with MCTS-Automated Structured Thinking.

Jinyang Wu, Mingkuan Feng, Shuai Zhang, Ruihan Jin, Feihu Che, Zengqi Wen, Jianhua Tao

CoRR, February, 2025

DReSS: Data-driven Regularized Structured Streamlining for Large Language Models.

Mingkuan Feng, Jinyang Wu, Shuai Zhang, Pengpeng Shao, Ruihan Jin, Zhengqi Wen, Jianhua Tao, Feihu Che

CoRR, January, 2025

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

Jinyang Wu, Shuai Zhang, Feihu Che, Mingkuan Feng, Pengpeng Shao, Jianhua Tao

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Code-switching Mediated Sentence-level Semantic Learning.

Shuai Zhang, Jiangyan Yi, Zhengqi Wen, Jianhua Tao, Feihu Che, Jinyang Wu, Ruibo Fu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Instagram.

Feihu Che

Dataset, November, 2024

M2ixKG: Mixing for harder negative samples in knowledge graph.

Feihu Che, Jianhua Tao

Neural Networks, 2024

Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTS.

Jinyang Wu, Mingkuan Feng, Shuai Zhang, Feihu Che, Zengqi Wen, Jianhua Tao

CoRR, 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