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Home/Authors/Ziyi Yang

Ziyi Yang

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

NLP×2Audio and Speech Processing×1Signal Processing×1

Frequent co-authors

Siyuan Huang1×
Pengyu Cheng1×
Haotian Liu1×
Tao Chen1×
Yihao Liu1×
Jingwei Ni1×

Research Timeline

2026
Regime-Aware Peer Specialization for Robust RAG under Heterogeneous Knowledge Conflicts

This paper proposes RAPS-DA, a framework that addresses conflicts in retrieval-augmented generation using a regime-aware peer specialization system and a dual-layer selector.

Adaptive Momentum Enhanced Distributed Multichannel Active Noise Control for Faster Convergence under Communication Delays

This paper proposes an adaptive momentum term for the ASSS-MGDFxLMS algorithm in distributed multichannel active noise control systems to accelerate convergence while maintaining robustness under communication delays.

Skill Self-Play: Pushing the Frontier of LLM Capability with Co-Evolving Skills

This paper introduces Skill Self-Play (Skill-SP), a co-evolutionary framework for LLM training that bridges the gap between structured verification and open-ended exploration.

Highlighted terms show continued research focus across papers

Papers

cs.CLEmpiricalRecentJul 24, 2026

Skill Self-Play: Pushing the Frontier of LLM Capability with Co-Evolving Skills

Siyuan Huang, Pengyu Cheng, Haotian Liu, Tao Chen +9 more

This paper introduces Skill Self-Play (Skill-SP), a co-evolutionary framework for LLM training that bridges the gap between structured verification and open-ended exploration.

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eess.ASeess.SPEmpirical
Recent
Jul 19, 2026

Adaptive Momentum Enhanced Distributed Multichannel Active Noise Control for Faster Convergence under Communication Delays

Junwei Ji, Woon-Seng Gan, Boxiang Wang, Ziyi Yang +1 more

This paper proposes an adaptive momentum term for the ASSS-MGDFxLMS algorithm in distributed multichannel active noise control systems to accelerate convergence while maintaining robustness under comm…

View →
cs.CLEmpiricalRecentJun 29, 2026

Regime-Aware Peer Specialization for Robust RAG under Heterogeneous Knowledge Conflicts

Bo Wang, Heyan Huang, Yaolin Li, Yanghao Zhou +4 more

This paper proposes RAPS-DA, a framework that addresses conflicts in retrieval-augmented generation using a regime-aware peer specialization system and a dual-layer selector.

View →