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Home/Authors/Yixin Chen

Yixin Chen

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Neural Computing×1ML×1AI×1

Frequent co-authors

Shishen Lin1×
Jiarui Feng1×
Hanqing Zeng1×
Karish Grover1×
Ruizhong Qiu1×
Yinglong Xia1×

Research Timeline

2026
DAG-MoE: From Simple Mixture to Structural Aggregation in Mixture-of-Experts

The paper proposes DAG-MoE, a novel sparse Mixture-of-Experts framework that replaces standard weighted-sum aggregation with structural aggregation to enhance model performance and enable multi-step reasoning.

Provably Sub-Linear Two-Timescale NeuroEvolution with Online Plasticity

This paper analyzes the regret of a NeuroEvolutionary Online Learning (NEOL) framework for learning neural network architectures and weights, achieving sublinear regret under mild conditions.

Highlighted terms show continued research focus across papers

Papers

cs.NEcs.LGEmpiricalRecentJun 18, 2026

Provably Sub-Linear Two-Timescale NeuroEvolution with Online Plasticity

Shishen Lin, Yixin Chen

This paper analyzes the regret of a NeuroEvolutionary Online Learning (NEOL) framework for learning neural network architectures and weights, achieving sublinear regret under mild conditions.

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cs.AIRecentMay 31, 2026

DAG-MoE: From Simple Mixture to Structural Aggregation in Mixture-of-Experts

Jiarui Feng, Hanqing Zeng, Karish Grover, Ruizhong Qiu +10 more

The paper proposes DAG-MoE, a novel sparse Mixture-of-Experts framework that replaces standard weighted-sum aggregation with structural aggregation to enhance model performance and enable multi-step r…

View →