Enhui Li — accepted AI-conference papers

2026

Distillation-Guided Structural Transfer for Continual Learning Beyond Sparse Distributed Memory

Huiyan Xue, Xuming Ran, Yaxin Li, Qi Xu, Enhui Li, Yi Xu +1

AAAI 2026technical

Sparse neural systems are gaining traction for efficient continual learning due to their modularity and low interference. Architectures like Sparse Distributed Memory Multi-Layer Perceptrons (SDMLP) construct task-specific subnetworks via Top-K activation and have shown resilience against catastroph

Cited by 0 Source ↗PDF ↗Scholar ↗

2026

SWE-fficiency: Can Language Models Optimize Real-World Repositories on Real Workloads?

Jeffrey Ma, Milad Hashemi, Amir Yazdanbakhsh, Kevin Swersky, Ofir Press, Enhui Li +2

ICML 2026poster

Optimizing the performance of large-scale software repositories demands expertise in code reasoning and software engineering (SWE) to reduce runtime while preserving program correctness. However, most benchmarks emphasize what to fix rather than how to fix code. We introduce SWE-fficiency, a benchma…

Cited by 0 Source ↗Scholar ↗