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20242026
most citedAdversarial Testing for Visual Grounding via Image-Aware Property Reduction

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.MA2026

VCE-Skill: Enhancing Skill Self-Evolution with Version-Change Experience

Jianming Chen, Xuanbin Ye, Yawen Wang +3

Agents increasingly rely on reusable skills to encode task knowledge, tool-use procedures, and validation rules. Existing skill self-evolution methods primarily revise skills using…

cs.MA2026

OrchJail: Jailbreaking Tool-Calling Text-to-Image Agents by Orchestration-Guided Fuzzing

Jianming Chen, Yawen Wang, Junjie Wang +3

Tool-calling text-to-image (T2I) agents can plan and execute multi-step tool chains to accomplish complex generation and editing queries. However, this capability introduces a new…

cs.MA2026

Where Did It Go Wrong? Capability-Oriented Failure Attribution for Vision-and-Language Navigation Agents

Jianming Chen, Yawen Wang, Junjie Wang +4

Embodied agents in safety-critical applications such as Vision-Language Navigation (VLN) rely on multiple interdependent capabilities (e.g., perception, memory, planning, decision)…

cs.MA2025

Adversarial Attack on Black-Box Multi-Agent by Adaptive Perturbation

Jianming Chen, Yawen Wang, Junjie Wang +4

Evaluating security and reliability for multi-agent systems (MAS) is urgent as they become increasingly prevalent in various applications. As an evaluation technique, existing adve…

cs.MA2025

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training

Xuyan Ma, Yawen Wang, Junjie Wang +5

In typical multi-agent reinforcement learning (MARL) problems, communication is important for agents to share information and make the right decisions. However, due to the complexi…

cs.AI2024

Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning

Jianming Chen, Yawen Wang, Junjie Wang +4

Explaining multi-agent systems (MAS) is urgent as these systems become increasingly prevalent in various applications. Previous work has proveided explanations for the actions or s…

cs.CV2024★ 1 cited

Adversarial Testing for Visual Grounding via Image-Aware Property Reduction

Zhiyuan Chang, Mingyang Li, Junjie Wang +4

Due to the advantages of fusing information from various modalities, multimodal learning is gaining increasing attention. Being a fundamental task of multimodal learning, Visual Gr…