<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Muyan Weng (翁牧言) | Melady Lab</title><link>https://usc-melady.github.io/melady_website/author/muyan-weng-%E7%BF%81%E7%89%A7%E8%A8%80/</link><atom:link href="https://usc-melady.github.io/melady_website/author/muyan-weng-%E7%BF%81%E7%89%A7%E8%A8%80/index.xml" rel="self" type="application/rss+xml"/><description>Muyan Weng (翁牧言)</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 09 Mar 2026 00:00:00 +0000</lastBuildDate><image><url>https://usc-melady.github.io/melady_website/author/muyan-weng-%E7%BF%81%E7%89%A7%E8%A8%80/avatar_hu11943013483242056873.jpg</url><title>Muyan Weng (翁牧言)</title><link>https://usc-melady.github.io/melady_website/author/muyan-weng-%E7%BF%81%E7%89%A7%E8%A8%80/</link></image><item><title>Adaptive Collaboration with Humans: Metacognitive Policy Optimization for Multi-Agent LLMs with Continual Learning</title><link>https://usc-melady.github.io/melady_website/publication/yang-adaptive-collaboration-2026/</link><pubDate>Mon, 09 Mar 2026 00:00:00 +0000</pubDate><guid>https://usc-melady.github.io/melady_website/publication/yang-adaptive-collaboration-2026/</guid><description/></item><item><title>TemporalBench: A Benchmark for Evaluating LLM-Based Agents on Contextual and Event-Informed Time Series Tasks</title><link>https://usc-melady.github.io/melady_website/publication/weng-temporalbench-2026/</link><pubDate>Thu, 05 Feb 2026 00:00:00 +0000</pubDate><guid>https://usc-melady.github.io/melady_website/publication/weng-temporalbench-2026/</guid><description/></item><item><title>Toward Evolutionary Intelligence: LLM-based Agentic Systems with Multi-Agent Reinforcement Learning</title><link>https://usc-melady.github.io/melady_website/publication/yang-evolutionary-intelligence-2025/</link><pubDate>Thu, 27 Nov 2025 00:00:00 +0000</pubDate><guid>https://usc-melady.github.io/melady_website/publication/yang-evolutionary-intelligence-2025/</guid><description/></item></channel></rss>