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20112026
most citedDeep-Reinforcement Learning Multiple Access for Heterogeneous Wireless Networks

335 citations · 698 across the 43 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

Workflow-Localized Mechanism Learning: Attribution-Guided Repair and Knowledge Reuse for Structured Agent Skills

Zibin Lin, Shengli Zhang, Taotao Wang +3

Agent Skills package reusable procedural knowledge as external artifacts for frozen language-model agents, yet existing optimizers do not jointly resolve where a failure occurs in…

cs.AI2026

Distributed General-Purpose Agent Networks: Architecture, Key Mechanisms, and Prototypes

Shengli Zhang, Deen Ma, Zibin Lin +1

Large language models have accelerated the transition from passive conversational assistants to autonomous agents that can understand goals, plan actions, invoke tools, and execute…

cs.AI2026

When Should Agent Trust Be Conditional? Characterizing and Attacking Skill-Conditional Reputation in Agent Swarms

Yihan Xia, Taotao Wang

Open platforms increasingly route tasks among heterogeneous LLM agents--differing in base model, scaffold, and tool stack--whose competence varies sharply by skill: an agent excell…

cs.AI2026

ResearchLoop: An Evidence-Gated Control Plane for AI-Assisted Research

Yihan Xia, Taotao Wang

AI-assisted research compresses ideation, implementation, evaluation, and manuscript writing into a single interactive loop. This compression is useful, but it also creates a publi…

cs.AI2026

Agentic Trading: When LLM Agents Meet Financial Markets

Yihan Xia, Panpan You, Taotao Wang +4

Large Language Models (LLMs) combined with autonomous agent architectures are shifting quantitative finance from isolated predictive modeling toward closed-loop trading agents. The…