works on

From the 1 of 7 linked papers with an AI index.

collaborators

7 papers

cs.AI2026

Deep Interaction: An Efficient Human-AI Interaction Method for Large Reasoning Models

Hefeng Zhou, Jinxuan Zhang, Jiong Lou +4

The paper introduces Deep Interaction, a method that lets users directly edit the chain‑of‑thought output of large language models to fix reasoning errors, resulting in higher corr…

cs.CL2026

Privacy-Preserving Text Sanitization for Distributed Agents Collaboration via Disentangled Representations

Xuan Liu, Hefeng Zhou, Sicheng Chen +6

When distributed agents exchange text across organizational boundaries, privacy leakage arises not only from explicit identifiers but also from distributional signatures such as fo…

cs.CV2026

Federated Cross-Modal Retrieval with Missing Modalities via Semantic Routing and Adapter Personalization

Hefeng Zhou, Xuan Liu, Sicheng Chen +7

Federated cross-modal retrieval faces severe challenges from heterogeneous client data, particularly non-IID semantic distributions and missing modalities. Under such heterogeneity…

cs.NI2026

IEMAS: An Incentive-Efficiency Routing Framework for Open Agentic Web Ecosystems

Hongze Liu, Chang Guo, Yingzeng Li +6

The transition to open, distributed Multi-Agent Systems (MAS) promises scalable intelligence but introduces a non-trivial tension: maximizing global efficiency requires cooperative…

cs.CR2026

TrinityGuard: A Unified Framework for Safeguarding Multi-Agent Systems

Kai Wang, Biaojie Zeng, Zeming Wei +7

With the rapid development of LLM-based multi-agent systems (MAS), their significant safety and security concerns have emerged, which introduce novel risks going beyond single agen…

cs.LG2025

BAPFL: Exploring Backdoor Attacks Against Prototype-based Federated Learning

Honghong Zeng, Jiong Lou, Zhe Wang +4

Prototype-based federated learning (PFL) has emerged as a promising paradigm to address data heterogeneity problems in federated learning, as it leverages mean feature vectors as p…