Rui Yang

Mean Dimension and Rate-Distortion Function Revisited

Rui Yang

Around the mean dimensions and rate-distortion functions, using some tools from local entropy theory this paper establishes the following main results: $(1)$ We prove that for non-ergodic measures associated with almost sure processes, the mean Rényi information dimension coincides with the information …

Influence of Pt-Cu synergistic action and TiO2 core–shell structure on NH3-SCO and anti-aging performance

Zhenhua Ji, Zhongqiang Bao, Zihao Wu, Peng Zhang et autres

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$α$-BS dimension on subsets

Zhumin Ding, Rui Yang, Xiaoyao Zhou

We aim to investigate the dimension theory of $α$-pressure-like quantities. By means of the Carath$\acute{\rm e}$odory-Pesin structure, we define $α$-BS dimension and $α$-Pesin topological pressure on subsets using $α$-Bowen metric $$d_{n}^α(x,y)=\max_{0\leq i\leq n-1}e^{αi}d(f^{i}x,f^{i}y),$$ where $α\geq 0$. Specifically, we show that $α$-BS dimension …

Drug-induced cough risk: A pharmacovigilance study of FDA adverse event reporting system database

Rui Yang, Tianyuan Xin, Yuyan Chen, Changwen Chen

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Adverse drug events associated with tiotropium: a real-world pharmacovigilance study of FDA adverse event reporting system database

Rui Yang, Tianyuan Xin, Yuyan Chen, Changwen Chen et autres

Introduction: Tiotropium, a long-acting muscarinic antagonist, is commonly employed for the maintenance treatment of chronic obstructive pulmonary disease (COPD) and asthma. While its efficacy has been validated through numerous randomized controlled trials, safety concerns in real-world post-marketing settings necessitate further evaluation. Aim: …

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Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges

Z J Li, Alexandre Chapin, Enda Xiang, Rui Yang et autres

Robotic Manipulation (RM) is central to the advancement of autonomous robots, enabling them to interact with and manipulate objects in real-world environments. This survey focuses on RM methodologies that leverage imitation learning, a powerful technique that allows robots to learn complex manipulation …

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Racial and Ethnic Disparities in the Governance of Opioid Crisis in the United States

Rui Yang, Bin Wei

Context: For two decades, opioid-related overdose fatalities have surged among White, non-Hispanics in rural and suburban communities across the United States, often seen as the face of this epidemic. However, urban minority communities have also experienced a significant rise in opioid overdoses, …

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Online Continual Learning of Diffusion Models: Multi-Mode Adaptive Generative Distillation

Rui Yang, Matthieu Grard, Emmanuel Dellandréa, Liming Chen

Continual learning typically relies on storing real data, which is impractical in privacy-sensitive settings. Generative replay with diffusion models offers a high-fidelity alternative. However, in online continual learning (OCL), these models struggle with catastrophic forgetting and incur high computational costs from frequent …

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Cumulative success rates analysis of luteal phase ovarian stimulation protocols in IVF-ET: A retrospective cohort study across different age groups and AMH levels

Linlin Wang, Wei Guo, Tian Tian, Lixue Chen et autres

OBJECTIVE: This study aims to compare luteal phase ovarian stimulation (LPS) with traditional follicular phase stimulation (FPS) protocols of in vitro fertilization-embryo transfer (IVF-ET). The primary objective is to assess the cumulative success rates of LPS in women. METHODS: A retrospective matched …

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Deep-learning-based classification of crop pests and diseases: a multimodel comparative approach

Juan Guo, Haorui Zhang, Rui Yang

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DREAM: Distributed Regional Efficient Agent Management with LLMs for Online Multi-Agent Pathfinding

Rui Yang, Rajiv Gupta

In this paper, we introduce DREAM, Distributed Regional Efficient Agent Management, a novel method using Large Language Models (LLMs) to solve Multi-Agent Pathfinding (MAPF) problems in complicated environments. Our approach splits up the area into various local regions and an LLM agent …

Accurate and Efficient Privacy-Preserving Image SURF Feature Extraction

Xiangyu Gao, Zhekai Luo, Peijia Zheng, Jian Li et autres

The explosive growth of multimedia data prompts resource-constrained users to outsource image storage and feature extraction (e.g., SURF) to cloud servers. To protect privacy, secure SURF outsourcing schemes have become a necessity. However, existing secure SURF outsourcing schemes generally suffer from drawbacks …

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