Rui Yang

MHER: Model-based Hindsight Experience Replay

2021 · arXiv (Cornell University)

Solving multi-goal reinforcement learning (RL) problems with sparse rewards is generally challenging. Existing approaches have utilized goal relabeling on collected experiences to alleviate issues raised from sparse rewards. However, these methods are still limited in …

Comparative analysis of the earthquake disaster risk of cities in Eastern China based on lethal levels – a case study of Yancheng City, Suqian City and Guangzhou City

2021 · Geomatics Natural Hazards and Risk

Earthquake disaster risk analyses provide significant scientific guidance for reducing earthquake disaster losses etc. The current commonly used method is based on the vulnerability of different types of buildings to evaluate, and may ignore the …

GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction

2023 · arXiv (Cornell University)

This paper aims to efficiently enable Large Language Models (LLMs) to use multimodal tools. Advanced proprietary LLMs, such as ChatGPT and GPT-4, have shown great potential for tool usage through sophisticated prompt engineering. Nevertheless, these …

PE3DNet: A “Pull-Up” Action Quality Assessment Network Based on Fusion of RGB Image Data and Key Point Optical Flow

2024

“Pull-up” is a regular physical fitness test in high school and college physical education, and the traditional manual supervised assessment method has the problems of strong subjectivity, large error and low efficiency in the assessment …

Fault Diagnosis of Few Sample Rolling Bearings Based on SE Attention and Similarity Contrastive Learning

2024

In recent years, deep learning has demonstrated excellent performance in the diagnosis of rolling bearing faults due to its outstanding feature extraction capabilities. However, when faced with limited small sample datasets, this technique still faces …

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation

2025 · arXiv (Cornell University)

Recent advances have highlighted the benefits of scaling language models to enhance performance across a wide range of NLP tasks. However, these approaches still face limitations in effectiveness and efficiency when applied to domain-specific tasks, …

Sharper insights: Discrimination-enhanced semantic segmentation of similar morphology nuclei in breast cancer pathology images

2025 · Visual Informatics

Similar Morphology Cells (SMCs) play a critical role in pathology diagnosis. This study identifies and defines two primary challenges for SMCs segmentation based on detailed investigation. At the macro level of slides, the sample distribution …