Feihu Che - RankMe

24 papers A* 2Journal 20Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Comprehensive Survey of Few-shot Information Networks. Mach. Intell. Res. Xinxin Zheng, Feihu Che, Jianhua Tao
2025	J	`jnl`	Boosting Multimodal Reasoning with MCTS-Automated Structured Thinking. CoRR Jinyang Wu, Mingkuan Feng, Shuai Zhang, Ruihan Jin, Feihu Che, Zengqi Wen, Jianhua Tao
2025	A*	`conf`	Code-switching Mediated Sentence-level Semantic Learning. AAAI Shuai Zhang, Jiangyan Yi, Zhengqi Wen, Jianhua Tao, Feihu Che, Jinyang Wu, Ruibo Fu
2025	J	`jnl`	DReSS: Data-driven Regularized Structured Streamlining for Large Language Models. CoRR Mingkuan Feng, Jinyang Wu, Shuai Zhang, Pengpeng Shao, Ruihan Jin, Zhengqi Wen, Jianhua Tao, Feihu Che
2025	J	`jnl`	ELDeR: Getting Efficient LLMs through Data-Driven Regularized Layer-wise Pruning. CoRR Mingkuan Feng, Jinyang Wu, Siyuan Liu, Shuai Zhang, Hongjian Fang, Ruihan Jin, Feihu Che, Pengpeng Shao, Zhengqi Wen, Jianhua Tao
2025	J	`jnl`	Hard or False: Keep the Balance for Negative Sampling in Knowledge Graphs. IEEE Trans. Knowl. Data Eng. Feihu Che, Jianhua Tao, Qionghai Dai
2025	—	`conf`	Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models. ACL (1) Jinyang Wu, Shuai Zhang, Feihu Che, Mingkuan Feng, Pengpeng Shao, Jianhua Tao
2024	J	`jnl`	Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTS. CoRR Jinyang Wu, Mingkuan Feng, Shuai Zhang, Feihu Che, Zengqi Wen, Jianhua Tao
2024	J	`jnl`	Can large language models understand uncommon meanings of common words? CoRR Jinyang Wu, Feihu Che, Xinxin Zheng, Shuai Zhang, Ruihan Jin, Shuai Nie, Pengpeng Shao, Jianhua Tao
2024	J	`jnl`	KS-LLM: Knowledge Selection of Large Language Models with Evidence Document for Question Answering. CoRR Xinxin Zheng, Feihu Che, Jinyang Wu, Shuai Zhang, Shuai Nie, Kang Liu, Jianhua Tao
2024	J	`jnl`	M2ixKG: Mixing for harder negative samples in knowledge graph. Neural Networks Feihu Che, Jianhua Tao
2024	—	`conf`	Multi-stage Vs Single-Stage: A Local Information Focused Approach for Overlapping Event Extraction. ICANN (7) Shuaihu Han, Guohua Yang, Dawei Zhang, Jianhua Tao, Feihu Che
2024	J	`jnl`	Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models. CoRR Jinyang Wu, Feihu Che, Chuyuan Zhang, Jianhua Tao, Shuai Zhang, Pengpeng Shao
2023	J	`jnl`	Adaptive pseudo-Siamese policy network for temporal knowledge prediction. Neural Networks Pengpeng Shao, Tong Liu, Feihu Che, Dawei Zhang, Jianhua Tao
2022	J	`jnl`	Adaptive Pseudo-Siamese Policy Network for Temporal Knowledge Prediction. CoRR Pengpeng Shao, Tong Liu, Feihu Che, Dawei Zhang, Jianhua Tao
2022	J	`jnl`	MixKG: Mixing for harder negative samples in knowledge graph. CoRR Feihu Che, Guohua Yang, Pengpeng Shao, Dawei Zhang, Jianhua Tao
2022	J	`jnl`	Tucker decomposition-based temporal knowledge graph completion. Knowl. Based Syst. Pengpeng Shao, Dawei Zhang, Guohua Yang, Jianhua Tao, Feihu Che, Tong Liu
2021	J	`jnl`	Knowledge graph enhanced recommender system. CoRR Zepeng Huai, Jianhua Tao, Feihu Che, Guohua Yang, Dawei Zhang
2021	J	`jnl`	Multi-Level Graph Contrastive Learning. CoRR Pengpeng Shao, Tong Liu, Dawei Zhang, Jianhua Tao, Feihu Che, Guohua Yang
2021	J	`jnl`	Multi-aspect self-supervised learning for heterogeneous information network. Knowl. Based Syst. Feihu Che, Jianhua Tao, Guohua Yang, Tong Liu, Dawei Zhang
2021	J	`jnl`	Self-supervised graph representation learning via bootstrapping. Neurocomputing Feihu Che, Guohua Yang, Dawei Zhang, Jianhua Tao, Tong Liu
2020	A*	`conf`	ParamE: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion. AAAI Feihu Che, Dawei Zhang, Jianhua Tao, Mingyue Niu, Bocheng Zhao
2020	J	`jnl`	Self-supervised Graph Representation Learning via Bootstrapping. CoRR Feihu Che, Guohua Yang, Dawei Zhang, Jianhua Tao, Pengpeng Shao, Tong Liu
2020	J	`jnl`	Tucker decomposition-based Temporal Knowledge Graph Completion. CoRR Pengpeng Shao, Guohua Yang, Dawei Zhang, Jianhua Tao, Feihu Che, Tong Liu