2 citations · 3 across the 5 of their papers we have counts for
5 papers
ADEMA: A Knowledge-State Orchestration Architecture for Long-Horizon Knowledge Synthesis with LLMAgents
Zhou Hanlin, Chan Huah Yong
Long-horizon LLM tasks often fail not because a single answer is unattainable, but because knowledge states drift across rounds, intermediate commitments remain implicit, and inter…
Runtime Burden Allocation for Structured LLM Routing in Agentic Expert Systems: A Full-Factorial Cross-Backend Methodology
Zhou Hanlin, Chan Huah Yong
Structured LLM routing is often treated as a prompt-engineering problem. We argue that it is, more fundamentally, a systems-level burden-allocation problem. As large language model…
ORCH: many analyses, one merge-a deterministic multi-agent orchestrator for discrete-choice reasoning with EMA-guided routing
Hanlin Zhou, Huah Yong Chan
Recent advances in large-scale language models (LLMs) have made multi-agent architectures attractive for challenging reasoning tasks. However, many existing systems rely on stochas…
A Kubernetes custom scheduler based on reinforcement learning for compute-intensive pods
Hanlin Zhou, Huah Yong Chan, Shun Yao Zhang +2
With the rise of cloud computing and lightweight containers, Docker has emerged as a leading technology for rapid service deployment, with Kubernetes responsible for pod orchestrat…
Automatic Adjustment of HPA Parameters and Attack Prevention in Kubernetes Using Random Forests
Hanlin Zhou, Huah Yong Chan, Jingfei Ni +2
In this paper, HTTP status codes are used as custom metrics within the HPA as the experimental scenario. By integrating the Random Forest classification algorithm from machine lear…