Ruogu Chen
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This paper presents CoEvoP&R, a framework that uses a large language model to automatically evolve analytical placement objectives, reducing post-route routed wirelength, congestion, and improving timing quality.
This paper introduces CODA, a real-time score following system that exploits the cascaded structure of music scores for prediction consistency and enables recovery from score discontinuities.
Papers
CODA: Cascaded Online Discontinuity-Aware Alignment for Real-Time Image-Based Score Following
This paper introduces CODA, a real-time score following system that exploits the cascaded structure of music scores for prediction consistency and enables recovery from score discontinuities.