3 papers
cs.DC2025
Distributed Bilevel Optimization with Dual Pruning for Resource-limited Clients
Mingyi Li, Xiao Zhang, Ruisheng Zheng +4
With the development of large-scale models, traditional distributed bilevel optimization algorithms cannot be applied directly in low-resource clients. The key reason lies in the e…
cs.LG2025
Modified K-means Algorithm with Local Optimality Guarantees
Mingyi Li, Michael R. Metel, Akiko Takeda
The K-means algorithm is one of the most widely studied clustering algorithms in machine learning. While extensive research has focused on its ability to achieve a globally optimal…
cs.AI2025
TAMO: Fine-Grained Root Cause Analysis via Tool-Assisted LLM Agent with Multi-Modality Observation Data in Cloud-Native Systems
Xiao Zhang, Qi Wang, Mingyi Li +4
Implementing large language models (LLMs)-driven root cause analysis (RCA) in cloud-native systems has become a key topic of modern software operations and maintenance. However, ex…