Representation and Extraction of Diesel Engine Maintenance Knowledge Graph with Bidirectional Relations Based on BERT and the Bi-LSTM-CRF Model. - Yihong Jin; Guanshujie Fu; Liyang Qian; Hanwen Liu; Hongwei Wang 001 (ICEBE, 2021)

A lattice LSTM-based framework for knowledge graph construction from power plants maintenance reports. - Tingyu Xie; Shuting Tao; Qi Li; Hongwei Wang 001; Yihong Jin (Serv. Oriented Comput. Appl., 2022)

Scam Detection for Ethereum Smart Contracts: Leveraging Graph Representation Learning for Secure Blockchain. - Yihong Jin; Ze Yang (CoRR, 2024)

HADES: Hardware Accelerated Decoding for Efficient Speculation in Large Language Models. - Ze Yang; Yihong Jin; Xinhe Xu (CoRR, 2024)

Research on Large Language Model Cross-Cloud Privacy Protection and Collaborative Training based on Federated Learning. - Ze Yang; Yihong Jin; Yihan Zhang; Juntian Liu; Xinhe Xu (CoRR, 2025)

Adaptive Fault Tolerance Mechanisms of Large Language Models in Cloud Computing Environments. - Yihong Jin; Ze Yang; Xinhe Xu; Yihan Zhang; Shuyang Ji (CoRR, 2025)

Scalability Optimization in Cloud-Based AI Inference Services: Strategies for Real-Time Load Balancing and Automated Scaling. - Yihong Jin; Ze Yang (CoRR, 2025)

Research on Cloud Platform Network Traffic Monitoring and Anomaly Detection System based on Large Language Models. - Ze Yang; Yihong Jin; Juntian Liu; Xinhe Xu; Yihan Zhang; Shuyang Ji (CoRR, 2025)

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM. - Yihong Jin; Ze Yang; Juntian Liu; Xinhe Xu (CoRR, 2025)

An Intelligent Fault Self-Healing Mechanism for Cloud AI Systems via Integration of Large Language Models and Deep Reinforcement Learning. - Ze Yang; Yihong Jin; Juntian Liu; Xinhe Xu (CoRR, 2025)