Jinliang Xu
PulseAugur coverage of Jinliang Xu — every cluster mentioning Jinliang Xu across labs, papers, and developer communities, ranked by signal.
5 day(s) with sentiment data
-
New framework analysis for Metabolic Multi-Agent Optimizer
This paper introduces the Metabolic Multi-Agent Optimizer (MMAO) framework, abstracting its core resource management loop. The authors establish boundedness and non-negativity properties for key components like private …
-
New MMAO-Cls method optimizes classification models with compact feature selection
Researchers have developed MMAO-Cls, a novel approach that adapts the Metabolic Multi-Agent Optimizer (MMAO) for classification model selection. This method jointly encodes feature masks and classifier hyperparameters, …
-
MMAO framework shows strong performance in large-scale empirical evaluation
A new paper evaluates the Metabolic Multi-Agent Optimizer (MMAO) framework, focusing on its resource-allocation principles under strict budget controls. The study employed a large-scale empirical protocol across eight C…
-
New MMAO framework uses metabolic controller for adaptive metaheuristic search
Researchers have introduced the Metabolic Multi-Agent Optimizer (MMAO), a novel adaptive metaheuristic framework designed for efficient search processes. MMAO operates on the principle of endogenous resource circulation…
-
New AI frameworks tackle optimization problems with multi-agent refinement · 4 sources tracked
Researchers have introduced OptiAgent, a multi-agent framework designed to translate natural language descriptions of Operations Research problems into solver-ready mathematical formulations and executable code. This sy…
-
OpenAgenet introduces trust layer for AI agent interconnection
Researchers have introduced OpenAgenet (OAN), a new infrastructure project designed to establish trust and facilitate secure interconnection between AI agents. OAN operates as a protocol-neutral trust layer, focusing on…