Explanipedia

FinGPT-Agent: An Advanced Framework for Multimodal Research Report Generation with Task-Adaptive Optimization and Hierarchical Attention Open

Haoran Zheng, Ching‐Ray Chang, Keqin Li, J. Huang, Z. Yang , et al. · 2025

Financial research report generation is challengingdue to diverse data types, real-time requirements, and thecomplexity of financial analysis. This paper introduces FinGPT-Agent, a multi-agent framework that uses Large LanguageModels (LLMs…

Polychromatic Electrochemiluminescence Imaging of Single Heteroligand Metal–Organic Crystals Open

Yufei Wang, Tianrui Liu, Siqi Yu, Rengan Luo, Song‐Song Bao , et al. · 2025

Conventional polychromatic electrochemiluminescence (ECL) imaging is realized with the several separated luminophores at the different potentials. In this study, an emerging polychromatic ECL imaging system was constructed based on single …

Polychromatic Electrochemiluminescence Imaging of Single Heteroligand Metal–Organic Crystals Open

Yufei Wang, Tianrui Liu, Siqi Yu, Rengan Luo, Song‐Song Bao , et al. · 2025

Conventional polychromatic electrochemiluminescence (ECL) imaging is realized with the several separated luminophores at the different potentials. In this study, an emerging polychromatic ECL imaging system was constructed based on single …

A Lightweight Deep Exclusion Unfolding Network for Single Image Reflection Removal Open

Junjie Huang, Tianrui Liu, Zihan Chen, Xinwang Liu, Meng Wang , et al. · 2025

Single Image Reflection Removal (SIRR) is a canonical blind source separation problem and refers to the issue of separating a reflection-contaminated image into a transmission and a reflection image. The core challenge lies in minimizing t…

Deciphering a volcano-shaped relationship between radical stability and reticular electrochemiluminescence Open

Haocheng Xu, Rengan Luo, Haifeng Lv, Tianrui Liu, Qiaobo Liao , et al. · 2025

All-component-active metal–organic frameworks for tailored chemoradiotherapy of self-defensive tumors Open

Xiang Xu, Yang Zhou, Song‐Song Bao, Zhiyuan Xu, Tianrui Liu , et al. · 2025

An all-component-active MOF was designed with copper iodide and thioguanine. Tumor self-defense pathways were disrupted by MOF-driven glutathione depletion and DNA damage repair inhibition under X-ray radiation, enabling tailored chemoradi…

Web Archives Metadata Generation with GPT-4o: Challenges and Insights Open

A Huang, Abhijit Nair, Zhen Rong Goh, Tianrui Liu · 2024

Current metadata creation for web archives is time consuming and costly due to reliance on human effort. This paper explores the use of gpt-4o for metadata generation within the Web Archive Singapore, focusing on scalability, efficiency, a…

EVA-S3PC: Efficient, Verifiable, Accurate Secure Matrix Multiplication Protocol Assembly and Its Application in Regression Open

S. Andrew Peng, Tianrui Liu, Terence Tao, D.X. Zhao, Hao Sheng , et al. · 2024

Efficient multi-party secure matrix multiplication is crucial for privacy-preserving machine learning, but existing mixed-protocol frameworks often face challenges in balancing security, efficiency, and accuracy. This paper presents an eff…

Image Captioning in News Report Scenario Open

Tianrui Liu, Qi Cai, Changxin Xu, Bo Hong, Jize Xiong , et al. · 2024

Image captioning[1] strives to generate pertinent captions for specified images[56], situating itself at the crossroads of Computer Vision (CV) [2] and Natural Language Processing (NLP)[54]. This endeavor is of paramount importance with fa…

Image Captioning in news report scenario Open

Tianrui Liu, Qi Cai, Changxin Xu, Bo Hong, Jize Xiong , et al. · 2024

Image captioning strives to generate pertinent captions for specified images, situating itself at the crossroads of Computer Vision (CV) and Natural Language Processing (NLP). This endeavor is of paramount importance with far-reaching appl…

DeMPAA: Deployable Multi-Mini-Patch Adversarial Attack for Remote Sensing Image Classification Open

Junjie Huang, Ziyue Wang, Tianrui Liu, Wenhan Luo, Zihan Chen , et al. · 2024

Deep neural networks (DNNs) have demonstrated excellent performance in image classification, yet remain vulnerable to adversarial attacks. Generating deployable adversarial patches (AdvPatchs) represents a promising approach to safeguard c…

Invertible Mosaic Image Hiding Network for Very Large Capacity Image Steganography Open

Zihan Chen, Tianrui Liu, Junjie Huang, Wentao Zhao, Xing Bi , et al. · 2023

The existing image steganography methods either sequentially conceal secret images or conceal a concatenation of multiple images. In such ways, the interference of information among multiple images will become increasingly severe when the …

Research on the Copyright Protection of the Artificial Intelligence Generated Products in China Open

Tianrui Liu · 2023

With the change of the development stage of artificial intelligence makes the question of how to protect artificial intelligence-generated products imminent. Whether or not the AI-generated works can be included in the protection of copyri…

Learning the Positions in CountSketch Open

Simin Liu, Tianrui Liu, Ali Vakilian, Yulin Wan, David P. Woodruff · 2023

We consider sketching algorithms which first compress data by multiplication with a random sketch matrix, and then apply the sketch to quickly solve an optimization problem, e.g., low-rank approximation and regression. In the learning-base…

Electrodeposition of Bi from Choline Chloride-Malonic Acid Deep Eutectic Solvent Open

Xiaozhou Cao, Hao Wang, Tianrui Liu, Yuanyuan Shi, Xiangxin Xue · 2023

Deep eutectic solvent (DES) has been widely used in the field of metal electrodeposition as an economical and environmentally friendly green solvent. Metallic bismuth films were prepared by electrodeposition from choline chloride-malonic a…

Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning Open

Qingjie Meng, Wenjia Bai, Tianrui Liu, Declan P. O’Regan, Daniel Rueckert · 2022

3D motion estimation from cine cardiac magnetic resonance (CMR) images is important for the assessment of cardiac function and diagnosis of cardiovascular diseases. Most of the previous methods focus on estimating pixel-/voxel-wise motion …

MulViMotion: Shape-aware 3D Myocardial Motion Tracking from Multi-View Cardiac MRI Open

Qingjie Meng, Chen Qin, Wenjia Bai, Tianrui Liu, Antonio de Marvao , et al. · 2022

Recovering the 3D motion of the heart from cine cardiac magnetic resonance (CMR) imaging enables the assessment of regional myocardial function and is important for understanding and analyzing cardiovascular disease. However, 3D cardiac mo…

MulViMotion: Shape-Aware 3D Myocardial Motion Tracking From Multi-View Cardiac MRI Open

Qingjie Meng, Chen Qin, Wenjia Bai, Tianrui Liu, Antonio de Marvao , et al. · 2022

Recovering the 3D motion of the heart from cine cardiac magnetic resonance (CMR) imaging enables the assessment of regional myocardial function and is important for understanding and analyzing cardiovascular disease. However, 3D cardiac mo…

Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time Open

Jacqueline Matthew, Emily Skelton, Thomas G. Day, Veronika A. Zimmer, Alberto Gómez , et al. · 2021

Objective Advances in artificial intelligence (AI) have demonstrated potential to improve medical diagnosis. We piloted the end‐to‐end automation of the mid‐trimester screening ultrasound scan using AI‐enabled tools. Methods A prospective …

Key technology of overlapping tunnel construction with earth pressure balance shield method in rheological strata Open

Qingru Yu, Shihong Zhai, Wen Liu, Tianrui Liu, Hu Song · 2021

Based on the existing bridge structure of Foshan Metro Line 2, this paper summarizes the engineering geological conditions of the overlapping tunnels, uses three-dimensional finite element analysis, establishes an engineering geological mo…

Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via\n Disease-specific Atlas Maps Open

Samuel Budd, Matthew Sinclair, Thomas A. Day, Athanasios Vlontzos, Jeremy Tan , et al. · 2021

Fetal ultrasound screening during pregnancy plays a vital role in the early\ndetection of fetal malformations which have potential long-term health impacts.\nThe level of skill required to diagnose such malformations from live ultrasound\n…

Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps Open

Samuel Budd, Matthew Sinclair, Thomas G. Day, Athanasios Vlontzos, Jeremy Tan , et al. · 2021

Exploring a New Paradigm for the Fetal Anomaly Ultrasound Scan: Artificial Intelligence in Real Time Open

Jacqueline Matthew, Emily Skelton, Thomas G. Day, Veronika A. Zimmer, Alberto Gómez , et al. · 2021

Learning the Positions in CountSketch Open

Simin Liu, Tianrui Liu, Ali Vakilian, Yulin Wan, David P. Woodruff · 2020

We consider sketching algorithms which first quickly compress data by multiplication with a random sketch matrix, and then apply the sketch to quickly solve an optimization problem, e.g., low rank approximation. In the learning-based sketc…

Extending and Improving Learned CountSketch Open

Simin Liu, Tianrui Liu, Ali Vakilian, Yulin Wan, David P. Woodruff · 2020

A sketching algorithm is a way to solve an optimization problem approximately and in a fraction of the usual time. We consider classical sketching algorithms which first compress data by multiplication with a random matrix. Our work impro…

On Learned Sketches for Randomized Numerical Linear Algebra. Open

Simin Liu, Tianrui Liu, Ali Vakilian, Yulin Wan, David P. Woodruff · 2020

We study learning-based sketching approaches for diverse tasks in numerical linear algebra: least-squares regression, $\ell_p$ regression, Huber regression, low-rank approximation (LRA), and $k$-means clustering. Sketching methods are used…

Ultrasound Video Summarization using Deep Reinforcement Learning Open

Tianrui Liu, Qingjie Meng, Athanasios Vlontzos, Jeremy Tan, Daniel Rueckert , et al. · 2020

Video is an essential imaging modality for diagnostics, e.g. in ultrasound imaging, for endoscopy, or movement assessment. However, video hasn't received a lot of attention in the medical image analysis community. In the clinical practice,…

Cleancap-Regulated Aggregation-Induced Emission Strategy for Highly Specific Analysis of Enzyme Open

Yuanyuan Huang, Longyi Zhu, Jiahao Ji, Yang Li, Tianrui Liu , et al. · 2020

In this work, a cleancap-regulated aggregation-induced emission (AIE) strategy based on copper nanoclusters (CuNCs) was developed with stepwise recognition for highly specific analysis of the enzyme. The dissolved CuNCs with AIE characteri…

Coupled Network for Robust Pedestrian Detection with Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling Open

Tianrui Liu, Wenhan Luo, Lin Ma, Junjie Huang, Tania Stathaki , et al. · 2019

Pedestrian detection methods have been significantly improved with the development of deep convolutional neural networks. Nevertheless, detecting small-scaled pedestrians and occluded pedestrians remains a challenging problem. In this pape…

Gated Multi-layer Convolutional Feature Extraction Network for Robust Pedestrian Detection Open

Tianrui Liu, Junjie Huang, Tianhong Dai, Guangyu Ren, Tania Stathaki · 2019

Pedestrian detection methods have been significantly improved with the development of deep convolutional neural networks. Nevertheless, robustly detecting pedestrians with a large variant on sizes and with occlusions remains a challenging …

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