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Home/Authors/Yuan Ma

Yuan Ma

4 indexed papers

Recent (6 mo)
4
With code
0
Influential cites
0
Benchmarked
0

Publications per year

4
26

Top categories

Robotics×1Vision×1AI×1ML×1Crypto×1

Frequent co-authors

Muyuan Ma1×
Houcheng Li1×
Haotian Zhai1×
Lijun Han1×
Xinpan Meng1×
Xiuze Xia1×

Research Timeline

2026
Detecting Avalanche Effect in Adversarial Settings: Spotting the Encryption Loops in Ransomware

The paper introduces a novel record-and-replay detection mechanism to accurately detect the true avalanche effect in ransomware, achieving high accuracy against real-world samples.

OptSkills: Learning Generalizable Optimization Skills from Problem Archetypes via Cluster-Based Distillation

OptSkills introduces an archetype-centric skill learning agent that improves the generalization of solving optimization problems from natural language by clustering problems by underlying archetypes and distilling reusable workflow skills.

Equilibrated Diffusion: Frequency-aware Textual Embedding for Equilibrated Image Customization

Equilibrated Diffusion introduces a frequency-aware approach to image customization, disentangling style and subject content embeddings to achieve superior subject fidelity and text adherence.

Ensuring Interaction Safety in Multitask Exoskeleton Control: A Simulation-Trained Variable Impedance Framework

The paper proposes a simulation-trained variable impedance control framework for wearable exoskeletons that safely and effectively augments human physical capabilities across multiple tasks.

Highlighted terms show continued research focus across papers

Papers

cs.RORecentJun 4, 2026

Ensuring Interaction Safety in Multitask Exoskeleton Control: A Simulation-Trained Variable Impedance Framework

Muyuan Ma, Houcheng Li, Haotian Zhai, Lijun Han +3 more

The paper proposes a simulation-trained variable impedance control framework for wearable exoskeletons that safely and effectively augments human physical capabilities across multiple tasks.

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cs.CVRecentJun 1, 2026

Equilibrated Diffusion: Frequency-aware Textual Embedding for Equilibrated Image Customization

Liyuan Ma, Xueji Fang, Guo-Jun Qi

Equilibrated Diffusion introduces a frequency-aware approach to image customization, disentangling style and subject content embeddings to achieve superior subject fidelity and text adherence.

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cs.AIcs.LGRecentMay 28, 2026

OptSkills: Learning Generalizable Optimization Skills from Problem Archetypes via Cluster-Based Distillation

Haochen Yang, Ke Zhao, Mengyuan Ma, Xingyu Lu +2 more

OptSkills introduces an archetype-centric skill learning agent that improves the generalization of solving optimization problems from natural language by clustering problems by underlying archetypes a…

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cs.CRRecentApr 27, 2026

Detecting Avalanche Effect in Adversarial Settings: Spotting the Encryption Loops in Ransomware

Nanqing Luo, Xusheng Li, Haizhou Wang, Shuangyi Zhu +2 more

The paper introduces a novel record-and-replay detection mechanism to accurately detect the true avalanche effect in ransomware, achieving high accuracy against real-world samples.

View →