Ruisi Zhang

AdaGL: Adaptive Learning for Agile Distributed Training of Gigantic GNNs

2023

Distributed GNN training on contemporary massive and densely connected graphs requires information aggregation from all neighboring nodes, which leads to an explosion of inter-server communications. This paper proposes AdaGL, a highly scalable end-to-end framework for …

Closed-Loop RAG Optimization System Based on User Feedback

2026 · Springer Link (Chiba Institute of Technology)

Retrieval-Augmented Generation (RAG) effectively mitigates large language model (LLM) hallucinations, yet traditional systems suffer from high cold-start costs, fragmented retrieval-generation optimization, and low feedback utilization in low-resource scenarios. To tackle these pain points, the paper …