Haiping Lu
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View article: A plant NLR receptor activates auxin signaling through Aux/IAAs-ARF19 and YUC8-TIR1/AFBs to promote callose-mediated antiviral defense
A plant NLR receptor activates auxin signaling through Aux/IAAs-ARF19 and YUC8-TIR1/AFBs to promote callose-mediated antiviral defense Open
Phytohormone signaling pathways are crucial for defense against pathogens mediated by pattern recognition receptors and nucleotide-binding leucine-rich repeat (NLR) immune receptors. The induction of auxin signaling by immune receptors for…
View article: Mask-prior-guided denoising diffusion improves inverse protein folding
Mask-prior-guided denoising diffusion improves inverse protein folding Open
Inverse protein folding generates valid amino acid sequences that can fold into a desired protein structure, with recent deep learning advances showing strong potential and competitive performance. However, challenges remain, such as predi…
View article: Global and cross-omics feature aggregation improves single-cell multi-omics integration and clustering
Global and cross-omics feature aggregation improves single-cell multi-omics integration and clustering Open
Sequencing technology advancements enable the simultaneous measurement of multiple omics within single cells, thereby facilitating single-cell multi-omics analysis. Most existing deep multi-omics integration methods learn shared or omics-s…
View article: Unlocking precision using k-means++- improved genetic algorithm-radial basis function neural network: data-driven evolution of smart gloves for gesture recognition
Unlocking precision using k-means++- improved genetic algorithm-radial basis function neural network: data-driven evolution of smart gloves for gesture recognition Open
Human-computer interaction technologies have been used since the 1970s but have only gained growing popularity in recent years with new design paradigms. Ongoing research and development in gesture recognition systems with broad applicatio…
View article: Multimodal Latent Fusion of ECG Leads for Early Assessment of Pulmonary Hypertension
Multimodal Latent Fusion of ECG Leads for Early Assessment of Pulmonary Hypertension Open
Recent advancements in early assessment of pulmonary hypertension (PH) primarily focus on applying machine learning methods to centralized diagnostic modalities, such as 12-lead electrocardiogram (12L-ECG). Despite their potential, these a…
View article: ClipGrader: Leveraging Vision-Language Models for Robust Label Quality Assessment in Object Detection
ClipGrader: Leveraging Vision-Language Models for Robust Label Quality Assessment in Object Detection Open
High-quality annotations are essential for object detection models, but ensuring label accuracy - especially for bounding boxes - remains both challenging and costly. This paper introduces ClipGrader, a novel approach that leverages vision…
View article: Foundation-Model-Boosted Multimodal Learning for fMRI-based Neuropathic Pain Drug Response Prediction
Foundation-Model-Boosted Multimodal Learning for fMRI-based Neuropathic Pain Drug Response Prediction Open
Neuropathic pain, affecting up to 10% of adults, remains difficult to treat due to limited therapeutic efficacy and tolerability. Although resting-state functional MRI (rs-fMRI) is a promising non-invasive measurement of brain biomarkers t…
View article: Group-specific discriminant analysis enhances detection of sex differences in brain functional network lateralization
Group-specific discriminant analysis enhances detection of sex differences in brain functional network lateralization Open
Background Lateralization is the asymmetry in function and cognition between the brain hemispheres, with notable sex differences. Conventional neuroscience studies on lateralization use univariate statistical comparisons between male and f…
View article: Mask prior-guided denoising diffusion improves inverse protein folding
Mask prior-guided denoising diffusion improves inverse protein folding Open
Inverse protein folding generates valid amino acid sequences that can fold into a desired protein structure, with recent deep-learning advances showing strong potential and competitive performance. However, challenges remain, such as predi…
View article: Knowledge-Enhanced Spatiotemporal Analysis for Anomaly Detection in Process Manufacturing
Knowledge-Enhanced Spatiotemporal Analysis for Anomaly Detection in Process Manufacturing Open
Effective fault detection and diagnosis (FDD) is crucial for proactively identifying irregular states that could jeopardize operator well-being and process integrity. In the era of Industry 4.0, data-driven FDD techniques have received par…
View article: Group-specific discriminant analysis reveals statistically validated sex differences in lateralization of brain functional network
Group-specific discriminant analysis reveals statistically validated sex differences in lateralization of brain functional network Open
Lateralization is a fundamental feature of the human brain, where sex differences have been observed. Conventional studies in neuroscience on sex-specific lateralization are typically conducted on univariate statistical comparisons between…
View article: Interpretable Multimodal Learning for Cardiovascular Hemodynamics Assessment
Interpretable Multimodal Learning for Cardiovascular Hemodynamics Assessment Open
Pulmonary Arterial Wedge Pressure (PAWP) is an essential cardiovascular hemodynamics marker to detect heart failure. In clinical practice, Right Heart Catheterization is considered a gold standard for assessing cardiac hemodynamics while n…
View article: Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection
Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection Open
Recent advancements in non-invasive detection of cardiac hemodynamic instability (CHDI) primarily focus on applying machine learning techniques to a single data modality, e.g. cardiac magnetic resonance imaging (MRI). Despite their potenti…
View article: MeDSLIP: Medical Dual-Stream Language-Image Pre-training with Pathology-Anatomy Semantic Alignment
MeDSLIP: Medical Dual-Stream Language-Image Pre-training with Pathology-Anatomy Semantic Alignment Open
Pathology and anatomy are two essential groups of semantics in medical data. Pathology describes what the diseases are, while anatomy explains where the diseases occur. They describe diseases from different perspectives, providing compleme…
View article: Omada: robust clustering of transcriptomes through multiple testing
Omada: robust clustering of transcriptomes through multiple testing Open
Background Cohort studies increasingly collect biosamples for molecular profiling and are observing molecular heterogeneity. High-throughput RNA sequencing is providing large datasets capable of reflecting disease mechanisms. Clustering ap…
View article: Trustworthiness-aware knowledge graph representation for recommendation
Trustworthiness-aware knowledge graph representation for recommendation Open
Incorporating knowledge graphs (KGs) into recommender systems (RS) has recently attracted increasing attention. For large-scale KGs, due to limited labour supervision, noises are inevitably introduced during automatic construction. However…
View article: Establishing minimally important differences for cardiac MRI end-points in pulmonary arterial hypertension
Establishing minimally important differences for cardiac MRI end-points in pulmonary arterial hypertension Open
Background Cardiac magnetic resonance (CMR) is the gold standard technique to assess biventricular volumes and function, and is increasingly being considered as an end-point in clinical studies. Currently, with the exception of right ventr…
View article: Omada: Robust clustering of transcriptomes through multiple testing
Omada: Robust clustering of transcriptomes through multiple testing Open
Cohort studies increasingly collect biosamples for molecular profiling and are observing molecular heterogeneity. High throughput RNA sequencing is providing large datasets capable of reflecting disease mechanisms. Clustering approaches ha…
View article: Quality of reporting in AI cardiac MRI segmentation studies – A systematic review and recommendations for future studies
Quality of reporting in AI cardiac MRI segmentation studies – A systematic review and recommendations for future studies Open
Background There has been a rapid increase in the number of Artificial Intelligence (AI) studies of cardiac MRI (CMR) segmentation aiming to automate image analysis. However, advancement and clinical translation in this field depend on res…
View article: Validation of Artificial Intelligence Cardiac MRI Measurements: Relationship to Heart Catheterization and Mortality Prediction
Validation of Artificial Intelligence Cardiac MRI Measurements: Relationship to Heart Catheterization and Mortality Prediction Open
Background Cardiac MRI measurements have diagnostic and prognostic value in the evaluation of cardiopulmonary disease. Artificial intelligence approaches to automate cardiac MRI segmentation are emerging but require clinical testing. Purpo…
View article: Node-Feature Convolution for Graph Convolutional Networks
Node-Feature Convolution for Graph Convolutional Networks Open
Graph convolutional network (GCN) is an effective neural network model for graph representation learning. However, standard GCN suffers from three main limitations: (1) most real-world graphs have no regular connectivity and node degrees c…
View article: Direct ICA on data tensor via random matrix modeling
Direct ICA on data tensor via random matrix modeling Open
Independent Component Analysis (ICA) is a fundamental method for Blind Source Separation (BSS). Classical ICA takes data matrix input formed by vector data. This paper focuses on ICA for BSS with third-order data tensor input formed by mat…
View article: Computed tomography lung parenchymal descriptions in routine radiological reporting have diagnostic and prognostic utility in patients with idiopathic pulmonary arterial hypertension and pulmonary hypertension associated with lung disease
Computed tomography lung parenchymal descriptions in routine radiological reporting have diagnostic and prognostic utility in patients with idiopathic pulmonary arterial hypertension and pulmonary hypertension associated with lung disease Open
Background Patients with pulmonary hypertension (PH) and lung disease may pose a diagnostic dilemma between idiopathic pulmonary arterial hypertension (IPAH) and PH associated with lung disease (PH-CLD). The prognostic impact of common com…