Yiwen Jiang

Status, challenges, and future directions of machine learning in the management of epilepsy: a systematic review and meta-analysis

Richard Shek‐kwan Chang, Shani Nguyen, Debabrata Mishra, Mohammad-Reza Nazem-Zadeh et autres

Background Despite advances in epilepsy treatment options, selecting the appropriate therapy for an individual with epilepsy is a process of trial and error. Machine learning holds the potential to support clinical decision making. We aimed to provide an overview of the role …

au (code pays fourni par la source)

Comparative efficacy of dual- vs. single-node tACS in amnestic mild cognitive impairment: behavioral and EEG evidence

Li Wang, Yuxian Li, Yiwen Jiang, Zhixin Piao et autres

Abstract The efficacy of current transcranial stimulation in cognitive disorders is limited by single-node intervention. Recent evidence indicates that amnestic mild cognitive impairment (aMCI) is associated with dysconnectivity in the frontoparietal network (FPN) and abnormal theta oscillations. Modulating the FPN with theta-frequency …

cn (code pays fourni par la source)

Towards Objective Obstetric Ultrasound Assessment: Contrastive Representation Learning for Fetal Movement Detection

Talha Ilyas, Duong Nhu, Allison Thomas, Arie Levin et autres

Accurate fetal movement (FM) detection is essential for assessing prenatal health, as abnormal movement patterns can indicate underlying complications such as placental dysfunction or fetal distress. Traditional methods, including maternal perception and cardiotocography (CTG), suffer from subjectivity and limited accuracy. To address …

au (code pays fourni par la source)

An intelligent, compact wearable pressure-strain combo sensor system for continuous fetal movement monitoring

Lim Wei Yap, Arie Levin, Yiwen Jiang, Duong Nhu et autres

Continuous fetal movement monitoring in late pregnancy may improve fetal wellbeing and pregnancy outcomes. While fetal movements can be visualized with ultrasound, it is intermittent and limited to clinical settings. Inertial measurement units may enable at-home fetal monitoring but usually require a …

au (code pays fourni par la source)

WISE: Weak-Supervision-Guided Step-by-Step Explanations for Multimodal LLMs in Image Classification

Yiwen Jiang, Deval Mehta, Siyuan Yan, Yaling Shen et autres

Multimodal Large Language Models (MLLMs) have shown promise in visual-textual reasoning, with Multimodal Chain-of-Thought (MCoT) prompting significantly enhancing interpretability. However, existing MCoT methods rely on rationale-rich datasets and largely focus on inter-object reasoning, overlooking the intra-object understanding crucial for image classification. To …

Multi-criteria carbon emission allowance allocation for liner shipping companies in China: An integrated approach based on composite indicators and zero-sum gains DEA

Mo Zhu, Yuquan Du, Mei Sha, Yiwen Jiang et autres

cn, au (code pays fourni par la source)

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models

Yiwen Jiang, Deval Mehta, Wei Feng, Zongyuan Ge

Concept Bottleneck Models (CBMs) decompose image classification into a process governed by interpretable, human-readable concepts. Recent advances in CBMs have used Large Language Models (LLMs) to generate candidate concepts. However, a critical question remains: What is the optimal number of concepts to …

Neighbor-Guided Unbiased Framework for Generalized Category Discovery in Medical Image Classification

Wei Feng, Sijin Zhou, Yiwen Jiang, Feilong Tang et autres

Generalized category discovery (GCD) utilizes seen category knowledge to automatically discover new semantic categories that are not defined in the training phase. Nevertheless, there has been no research conducted on identifying new classes using medical images and disease categories, which is essential …

au (code pays fourni par la source)

Allocating Shipping Carbon Emission Allowance with Equity, Efficiency and Sustainability Principles –A Case Study of China

Mo Zhu, Yuquan Du, Mei Sha, Yiwen Jiang et autres

au (code pays fourni par la source)

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models

Yiwen Jiang, Deval Mehta, Wei Feng, Zongyuan Ge

WISE: Weak-Supervision-Guided Step-by-Step Explanations for Multimodal LLMs in Image Classification

Yiwen Jiang, Deval Mehta, Siyuan Yan, Yaling Shen et autres

Multimodal Large Language Models (MLLMs) have shown promise in visual-textual reasoning, with Multimodal Chain-of-Thought (MCoT) prompting significantly enhancing interpretability.However, existing MCoT methods rely on rationale-rich datasets and largely focus on inter-object reasoning, overlooking the intraobject understanding crucial for image classification.To address this …

au (code pays fourni par la source)

Modeling irrigation management for water conservation by DSSAT-maize model in arid northwestern China

Yiwen Jiang, Lanhui Zhang, Baoqing Zhang, Chansheng He et autres

cn, us (code pays fourni par la source)