Skip to content

Author

Hebin Liang

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Book Open access Aug 2026

PACE: Unleashing the Power of Code Embeddings to Boost AutoML Agents

PACE (Pre-execution Admission via Code Embeddings), an online-adaptive admission control framework that improves budgeted sample efficiency by estimating candidate utility prior to execution from within-run execution history, without training a separate offline predictor.

Gangyi Zhao, He-Bin Liang, Hongyao Tang et al. · 0 citations
Book Open access Aug 2026

PACE: Unleashing the Power of Code Embeddings to Boost AutoML Agents

Large Language Model (LLM)-driven AutoML agents have shown strong capabilities in constructing end-to-end machine learning pipelines. However, their effectiveness is limited by costly execution-based feedback, which can make the search for high-quality solutions inefficient under restricted computational budgets. We pr...

Gangyi Zhao, Hebin Liang, Hongyao Tang et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.