Yihong Jin

11 papers Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Adaptive Fault Tolerance Mechanisms of Large Language Models in Cloud Computing Environments.
CoRR
Yihong Jin, Ze Yang, Xinhe Xu, Yihan Zhang, Shuyang Ji
2025 J jnl
An Intelligent Fault Self-Healing Mechanism for Cloud AI Systems via Integration of Large Language Models and Deep Reinforcement Learning.
CoRR
Ze Yang, Yihong Jin, Juntian Liu, Xinhe Xu
2025 J jnl
Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM.
CoRR
Yihong Jin, Ze Yang, Juntian Liu, Xinhe Xu
2025 J jnl
Research on Cloud Platform Network Traffic Monitoring and Anomaly Detection System based on Large Language Models.
CoRR
Ze Yang, Yihong Jin, Juntian Liu, Xinhe Xu, Yihan Zhang, Shuyang Ji
2025 J jnl
Research on Large Language Model Cross-Cloud Privacy Protection and Collaborative Training based on Federated Learning.
CoRR
Ze Yang, Yihong Jin, Yihan Zhang, Juntian Liu, Xinhe Xu
2025 — conf
Scalability Optimization in Cloud-Based AI Inference Services: Strategies for Real-Time Load Balancing and Automated Scaling.
BDICN
Yihong Jin, Ze Yang
2025 J jnl
Scalability Optimization in Cloud-Based AI Inference Services: Strategies for Real-Time Load Balancing and Automated Scaling.
CoRR
Yihong Jin, Ze Yang
2024 J jnl
HADES: Hardware Accelerated Decoding for Efficient Speculation in Large Language Models.
CoRR
Ze Yang, Yihong Jin, Xinhe Xu
2024 J jnl
Scam Detection for Ethereum Smart Contracts: Leveraging Graph Representation Learning for Secure Blockchain.
CoRR
Yihong Jin, Ze Yang
2022 J jnl
A lattice LSTM-based framework for knowledge graph construction from power plants maintenance reports.
Serv. Oriented Comput. Appl.
Tingyu Xie, Shuting Tao, Qi Li, Hongwei Wang, Yihong Jin
2021 — conf
Representation and Extraction of Diesel Engine Maintenance Knowledge Graph with Bidirectional Relations Based on BERT and the Bi-LSTM-CRF Model.
ICEBE
Yihong Jin, Guanshujie Fu, Liyang Qian, Hanwen Liu, Hongwei Wang