1 citations · 1 across the 4 of their papers we have counts for
4 papers
Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models
Ming Gong, Yingnan Deng, Nia Qi +3
This paper addresses the issues of parameter redundancy, rigid structure, and limited task adaptability in the fine-tuning of large language models. It proposes an adapter-based fi…
Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery
Yun Zi, Ming Gong, Zhihao Xue +3
This study proposes an unsupervised anomaly detection method for distributed backend service systems, addressing practical challenges such as complex structural dependencies, diver…
Multi-Level Service Performance Forecasting via Spatiotemporal Graph Neural Networks
Zhihao Xue, Yun Zi, Nia Qi +2
This paper proposes a spatiotemporal graph neural network-based performance prediction algorithm to address the challenge of forecasting performance fluctuations in distributed bac…
Autonomous Resource Management in Microservice Systems via Reinforcement Learning
Yujun Zou, Nia Qi, Yingnan Deng +3
This paper proposes a reinforcement learning-based method for microservice resource scheduling and optimization, aiming to address issues such as uneven resource allocation, high l…