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Home/Authors/Yang Gao

Yang Gao

5 indexed papers

Recent (6 mo)
5
With code
0
Influential cites
0
Benchmarked
0

Publications per year

5
26

Top categories

AI×4Crypto×2Sound×1Vision×1NLP×1Society×1ML×1Networking×1

Frequent co-authors

Chen Yang1×
Chufan Yu1×
Hanfu Chen1×
Jie Zhu1×
Jingqi Chen1×
Ke Chen1×

Research Timeline

2026
Look One Step Ahead: Forward-Looking Incentive Design with Strategic Privacy for Proactive Service Provisioning over Air-Ground Integrated Edge Networks

The paper proposes Look One Step Ahead (LOSA), a novel framework that enables efficient, privacy-preserving, and robust service provisioning in dynamic air-ground integrated networks by decoupling planning into a look-ahead phase and a real-time execution phase.

Furina: Fragmented Uncertainty-Driven Refusal Instability Attack

The paper challenges the assumption that LLM safety is a binary threshold, proposing that safety failures occur in an 'instability region' and introducing Furina, a transferable attack that exploits this region.

MIRA: A Bilingual Benchmark for Medical Information Response Audit

The paper introduces MIRA, a bilingual benchmark that reveals that LLMs tend to dilute or omit critical medical information when responding to prompts from users with low health literacy, a pattern termed Differential Information Dilution (DID).

MyoSem: Aligning Electromyography to Natural-Language Action Semantics for Hand Action Understanding

MyoSem introduces an EMG-action semantic alignment framework that transforms low-level muscle signals into a shared semantic space, enabling bidirectional retrieval between EMG data and natural language action descriptions.

MOSS-Audio Technical Report

MOSS-Audio is a unified audio-language model designed for comprehensive understanding of speech, environmental sounds, and music, achieving strong performance across various audio-grounded tasks.

Highlighted terms show continued research focus across papers

Papers

cs.SDcs.AIRecentJun 1, 2026

MOSS-Audio Technical Report

Chen Yang, Chufan Yu, Hanfu Chen, Jie Zhu +21 more

MOSS-Audio is a unified audio-language model designed for comprehensive understanding of speech, environmental sounds, and music, achieving strong performance across various audio-grounded tasks.

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cs.CVcs.AIRecentMay 29, 2026

MyoSem: Aligning Electromyography to Natural-Language Action Semantics for Hand Action Understanding

Chiyue Wang, Dong She, Yang Gao, Zhanpeng Jin

MyoSem introduces an EMG-action semantic alignment framework that transforms low-level muscle signals into a shared semantic space, enabling bidirectional retrieval between EMG data and natural langua…

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cs.AIcs.CLcs.CYRecentMay 27, 2026

MIRA: A Bilingual Benchmark for Medical Information Response Audit

Mengyu Xu, Qiaoxin Yang, Qianqian Wang, Xiwei Dai +2 more

The paper introduces MIRA, a bilingual benchmark that reveals that LLMs tend to dilute or omit critical medical information when responding to prompts from users with low health literacy, a pattern te…

View →
cs.CRcs.AIcs.LGRecentMay 24, 2026

Furina: Fragmented Uncertainty-Driven Refusal Instability Attack

Tongxi Wu, Jian Zhang, Yang Gao

The paper challenges the assumption that LLM safety is a binary threshold, proposing that safety failures occur in an 'instability region' and introducing Furina, a transferable attack that exploits t…

View →
cs.NIcs.CRcs.GTRecentApr 15, 2026

Look One Step Ahead: Forward-Looking Incentive Design with Strategic Privacy for Proactive Service Provisioning over Air-Ground Integrated Edge Networks

Sicheng Wu, Minghui Liwang, Yangyang Gao, Deqing Wang +4 more

The paper proposes Look One Step Ahead (LOSA), a novel framework that enables efficient, privacy-preserving, and robust service provisioning in dynamic air-ground integrated networks by decoupling pla…

View →