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Home/Authors/Rui Yang

Rui Yang

12 indexed papers

Recent (6 mo)
10
With code
0
Influential cites
0
Benchmarked
0

Publications per year

12
26

Top categories

AI×9ML×5Crypto×3Vision×3Audio and Speech Processing×2NLP×2Info Retrieval×2Software Eng.×1

Frequent co-authors

Hao Bai4×
Tong Zhang4×
Yuxi Chen3×
Huan Zhang3×
Changhao Pan2×
Wenxiang Guo2×

Research Timeline

2026
CAPTCHA Solving for Native GUI Agents: Automated Reasoning-Action Data Generation and Self-Corrective Training

The paper introduces ReCAP, a native GUI agent that significantly improves CAPTCHA solving success (from 30% to 80%) by integrating specialized CAPTCHA capabilities into a general-purpose, end-to-end vision-language model.

Structured Visual Narratives Undermine Safety Alignment in Multimodal Large Language Models

This paper introduces ComicJailbreak, a new benchmark demonstrating that structured visual narratives can effectively jailbreak Multimodal Large Language Models (MLLMs), requiring new safety alignment methods.

PRO-CUA: Process-Reward Optimization for Computer Use Agents

PRO-CUA introduces a process-reward optimization framework that enables efficient, step-level reinforcement learning for training computer use agents by decoupling environment interaction from policy optimization.

PRO-CUA: Process-Reward Optimization for Computer Use Agents

PRO-CUA introduces a process-reward optimization framework that enables efficient, step-level reinforcement learning for training computer use agents by decoupling environment interaction from policy optimization.

LoopFM: Learning frOm HistOrical RePresentations of Foundation Model for Recommendation

LoopFM proposes a novel framework to significantly improve knowledge distillation for recommendation systems by structuring the rich intermediate embeddings of large foundation models as input features, thereby overcoming the limitations of single-scalar prediction transfer.

LoopFM: Learning frOm HistOrical RePresentations of Foundation Model for Recommendation

LoopFM proposes a novel framework to significantly improve knowledge distillation for recommendation systems by structuring the rich intermediate embeddings of large foundation models as input features, thereby overcoming the limitations of single-scalar prediction transfer.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents

The paper introduces OpenWebRL, an open framework that enables training visual web agents using online multi-turn Reinforcement Learning directly on live websites, achieving state-of-the-art performance on challenging web benchmarks.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents

The paper introduces OpenWebRL, an open framework that enables training visual web agents using online multi-turn Reinforcement Learning directly on live websites, achieving state-of-the-art performance on challenging web benchmarks.

Spatial-Omni: Spatial Audio Understanding Integration in Multimodal LLMs via FOA Encoding

Integrates FOA into Omni LLMs for spatial audio understanding

EEG Benchmarking Needs a Task Specification Layer: NeuroDoc for Rulebook-Guided, Executable Benchmark Construction

This paper proposes a standardized task specification language and rulebook for EEG datasets to enable reusable and auditable benchmarking infrastructure.

Audio Editing in the Era of Foundation Models: A Survey

This paper provides a comprehensive review of audio editing in the era of foundation models, including a unified taxonomy of existing editing tasks and major foundation-model paradigms.

SkillGate: Cost Efficient Runtime Malicious Skill File Detection in Coding Agents

This paper presents SkillGate, a security gateway that screens AI skill packages for malicious behavior before installation.

Highlighted terms show continued research focus across papers

Papers

cs.SEcs.CREmpiricalRecentJul 28, 2026

SkillGate: Cost Efficient Runtime Malicious Skill File Detection in Coding Agents

Rui Yang, Michael Fu, Kla Tantithamthavorn, Chetan Arora +1 more

This paper presents SkillGate, a security gateway that screens AI skill packages for malicious behavior before installation.

View →
cs.LGcs.NEEmpirical
Recent
Jun 22, 2026

EEG Benchmarking Needs a Task Specification Layer: NeuroDoc for Rulebook-Guided, Executable Benchmark Construction

Chengxuan Qin, Zhige Chen, Shu Peng, Rui Yang +8 more

This paper proposes a standardized task specification language and rulebook for EEG datasets to enable reusable and auditable benchmarking infrastructure.

View →
eess.ASSurveyRecentJun 22, 2026

Audio Editing in the Era of Foundation Models: A Survey

Changhao Pan, Yifei Fan, Fan Zhuo, Yifu Chen +12 more

This paper provides a comprehensive review of audio editing in the era of foundation models, including a unified taxonomy of existing editing tasks and major foundation-model paradigms.

View →
eess.AScs.AIEmpiricalRecentJun 9, 2026

Spatial-Omni: Spatial Audio Understanding Integration in Multimodal LLMs via FOA Encoding

Zhiyuan Zhu, Yixuan Chen, Yiwen Shao, Wenxiang Guo +12 more

Integrates FOA into Omni LLMs for spatial audio understanding

View →
cs.LGcs.AIcs.CLRecentJun 1, 2026

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents

Rui Yang, Qianhui Wu, Yuxi Chen, Hao Bai +6 more

The paper introduces OpenWebRL, an open framework that enables training visual web agents using online multi-turn Reinforcement Learning directly on live websites, achieving state-of-the-art performan…

View →
cs.LGcs.AIcs.CLRecentJun 1, 2026

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents

Rui Yang, Qianhui Wu, Yuxi Chen, Hao Bai +6 more

The paper introduces OpenWebRL, an open framework that enables training visual web agents using online multi-turn Reinforcement Learning directly on live websites, achieving state-of-the-art performan…

View →
cs.LGcs.AIcs.IRRecentMay 28, 2026

LoopFM: Learning frOm HistOrical RePresentations of Foundation Model for Recommendation

Shali Jiang, Hua Zheng, Boyang Liu, Laming Chen +39 more

LoopFM proposes a novel framework to significantly improve knowledge distillation for recommendation systems by structuring the rich intermediate embeddings of large foundation models as input feature…

View →
cs.LGcs.AIcs.IRRecentMay 28, 2026

LoopFM: Learning frOm HistOrical RePresentations of Foundation Model for Recommendation

Shali Jiang, Hua Zheng, Boyang Liu, Laming Chen +39 more

LoopFM proposes a novel framework to significantly improve knowledge distillation for recommendation systems by structuring the rich intermediate embeddings of large foundation models as input feature…

View →
cs.AIRecentMay 27, 2026

PRO-CUA: Process-Reward Optimization for Computer Use Agents

Yifei He, Rui Yang, Hao Bai, Tong Zhang +1 more

PRO-CUA introduces a process-reward optimization framework that enables efficient, step-level reinforcement learning for training computer use agents by decoupling environment interaction from policy…

View →
cs.AIRecentMay 27, 2026

PRO-CUA: Process-Reward Optimization for Computer Use Agents

Yifei He, Rui Yang, Hao Bai, Tong Zhang +1 more

PRO-CUA introduces a process-reward optimization framework that enables efficient, step-level reinforcement learning for training computer use agents by decoupling environment interaction from policy…

View →
cs.CRcs.AIcs.CVMar 23, 2026

CAPTCHA Solving for Native GUI Agents: Automated Reasoning-Action Data Generation and Self-Corrective Training

Yuxi Chen, Haoyu Zhai, Chenkai Wang, Rui Yang +3 more

The paper introduces ReCAP, a native GUI agent that significantly improves CAPTCHA solving success (from 30% to 80%) by integrating specialized CAPTCHA capabilities into a general-purpose, end-to-end…

View →
cs.CRcs.AIcs.MMMar 23, 2026

Structured Visual Narratives Undermine Safety Alignment in Multimodal Large Language Models

Rui Yang Tan, Yujia Hu, Roy Ka-Wei Lee

This paper introduces ComicJailbreak, a new benchmark demonstrating that structured visual narratives can effectively jailbreak Multimodal Large Language Models (MLLMs), requiring new safety alignment…

View →