collaborators

20 papers

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

A growing body of work explores how Large Language Models (LLMs) can be embedded in trading systems as agents that perceive market information, retrieve context, reason about decis…

cs.NI2026

ZK-AMS: Credibly Anonymous Admission for Web 3.0 Platforms via Recursive Proof Aggregation

Zibin Lin, Taotao Wang, Shengli Zhang +3

Web 3.0 platforms need an onboarding mechanism that can admit real users at scale without forcing them to reveal identity documents or pay one on-chain verification cost per user.…