Ran Cheng

Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search

2020 · arXiv (Cornell University)

The performance of a deep neural network is heavily dependent on its architecture and various neural architecture search strategies have been developed for automated network architecture design. Recently, evolutionary neural architecture search (ENAS) has received …

Hybrid Attention-Based Transformer Block Model for Distant Supervision Relation Extraction

2020 · arXiv (Cornell University)

With an exponential explosive growth of various digital text information, it is challenging to efficiently obtain specific knowledge from massive unstructured text information. As one basic task for natural language processing (NLP), relation extraction aims …

NanoNER: Named Entity Recognition for Nanobiology Using Experts’ Knowledge and Distant Supervision

2023

Here we present the training and evaluation of NanoNER, a Named Entity Recognition (NER) model for Nanobiology.NER consists in the identification of specific entities in spans of unstructured texts and is often a primary task …

Enabling Population-Level Parallelism in Tree-Based Genetic Programming for GPU Acceleration

2025 · arXiv (Cornell University)

Tree-based Genetic Programming (TGP) is a widely used evolutionary algorithm for tasks such as symbolic regression, classification, and robotic control. Due to the intensive computational demands of running TGP, GPU acceleration is crucial for achieving …