Jianyu Chen

Iterative Cross Learning on Noisy Labels

2018

To address the problem of incorrect labels in training data for deep learning, we propose a novel and simple training strategy, Iterative Cross Learning (ICL), that significantly improves the classification accuracy of neural networks with …

An Efficient High-Throughput LZ77-Based Decompressor in Reconfigurable Logic

2020 · Journal of Signal Processing Systems

Abstract To best leverage high-bandwidth storage and network technologies requires an improvement in the speed at which we can decompress data. We present a “refine and recycle” method applicable to LZ77-type decompressors that enables efficient …

Prompt a Robot to Walk with Large Language Models

2023 · arXiv (Cornell University)

Large language models (LLMs) pre-trained on vast internet-scale data have showcased remarkable capabilities across diverse domains. Recently, there has been escalating interest in deploying LLMs for robotics, aiming to harness the power of foundation models …