ParamE: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion. - Feihu Che; Dawei Zhang 001; Jianhua Tao 001; Mingyue Niu; Bocheng Zhao (AAAI, 2020)

Self-supervised Graph Representation Learning via Bootstrapping. - Feihu Che; Guohua Yang; Dawei Zhang 001; Jianhua Tao 001; Pengpeng Shao; Tong Liu (CoRR, 2020)

Multi-Level Graph Contrastive Learning. - Pengpeng Shao; Tong Liu; Dawei Zhang 001; Jianhua Tao 001; Feihu Che; Guohua Yang (CoRR, 2021)

Knowledge graph enhanced recommender system. - Zepeng Huai; Jianhua Tao 001; Feihu Che; Guohua Yang; Dawei Zhang 001 (CoRR, 2021)

Self-supervised graph representation learning via bootstrapping. - Feihu Che; Guohua Yang; Dawei Zhang 001; Jianhua Tao 001; Tong Liu (Neurocomputing, 2021)

Multi-aspect self-supervised learning for heterogeneous information network. - Feihu Che; Jianhua Tao 001; Guohua Yang; Tong Liu; Dawei Zhang 001 (Knowl. Based Syst., 2021)

MixKG: Mixing for harder negative samples in knowledge graph. - Feihu Che; Guohua Yang; Pengpeng Shao; Dawei Zhang 001; Jianhua Tao 001 (CoRR, 2022)

Tucker decomposition-based temporal knowledge graph completion. - Pengpeng Shao; Dawei Zhang 001; Guohua Yang; Jianhua Tao 001; Feihu Che; Tong Liu (Knowl. Based Syst., 2022)

Adaptive pseudo-Siamese policy network for temporal knowledge prediction. - Pengpeng Shao; Tong Liu; Feihu Che; Dawei Zhang 001; Jianhua Tao 001 (Neural Networks, 2023)

Multi-stage Vs Single-Stage: A Local Information Focused Approach for Overlapping Event Extraction. - Shuaihu Han; Guohua Yang; Dawei Zhang 001; Jianhua Tao 001; Feihu Che (ICANN (7), 2024)

KS-LLM: Knowledge Selection of Large Language Models with Evidence Document for Question Answering. - Xinxin Zheng; Feihu Che; Jinyang Wu; Shuai Zhang 014; Shuai Nie; Kang Liu; Jianhua Tao 001 (CoRR, 2024)

Can large language models understand uncommon meanings of common words? - Jinyang Wu; Feihu Che; Xinxin Zheng; Shuai Zhang 014; Ruihan Jin; Shuai Nie; Pengpeng Shao; Jianhua Tao 001 (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 001; Shuai Zhang 014; Pengpeng Shao (CoRR, 2024)

Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTS. - Jinyang Wu; Mingkuan Feng; Shuai Zhang 014; Feihu Che; Zengqi Wen; Jianhua Tao 001 (CoRR, 2024)

M2ixKG: Mixing for harder negative samples in knowledge graph. - Feihu Che; Jianhua Tao 001 (Neural Networks, 2024)

Instagram. - Feihu Che (IEEE DataPort, 2024)

Code-switching Mediated Sentence-level Semantic Learning. - Shuai Zhang 014; Jiangyan Yi; Zhengqi Wen; Jianhua Tao 001; Feihu Che; Jinyang Wu; Ruibo Fu (AAAI, 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 014; Feihu Che; Mingkuan Feng; Pengpeng Shao; Jianhua Tao 001 (ACL (1), 2025)

DReSS: Data-driven Regularized Structured Streamlining for Large Language Models. - Mingkuan Feng; Jinyang Wu; Shuai Zhang 014; Pengpeng Shao; Ruihan Jin; Zhengqi Wen; Jianhua Tao 001; Feihu Che (CoRR, 2025)

Boosting Multimodal Reasoning with MCTS-Automated Structured Thinking. - Jinyang Wu; Mingkuan Feng; Shuai Zhang 014; Ruihan Jin; Feihu Che; Zengqi Wen; Jianhua Tao 001 (CoRR, 2025)

A Comprehensive Survey of Few-shot Information Networks. - Xinxin Zheng; Feihu Che; Jianhua Tao 001 (Mach. Intell. Res., 2025)

ELDeR: Getting Efficient LLMs through Data-Driven Regularized Layer-wise Pruning. - Mingkuan Feng; Jinyang Wu; Siyuan Liu; Shuai Zhang 014; Hongjian Fang; Ruihan Jin; Feihu Che; Pengpeng Shao; Zhengqi Wen; Jianhua Tao 001 (CoRR, 2025)

Hard or False: Keep the Balance for Negative Sampling in Knowledge Graphs. - Feihu Che; Jianhua Tao 001; Qionghai Dai (IEEE Trans. Knowl. Data Eng., 2025)