Jun Pang
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View article: Subject section Aggregating GRNs via multiplex link prediction
Subject section Aggregating GRNs via multiplex link prediction Open
Gene regulatory networks (GRNs) are essential in studying cell differentiation and development. However, existing GRN inference models often disregard the network nature of GRNs, undermining the potential for GRN inference from scRNA-seq d…
View article: Mechanistic insights into pyrolysis temperature-dependent lead (Pb) stabilization in phytoremediation residue-derived biochar
Mechanistic insights into pyrolysis temperature-dependent lead (Pb) stabilization in phytoremediation residue-derived biochar Open
The substantial generation of hazardous, metal-enriched biomass residues poses significant risks of secondary contamination, presenting a critical bottleneck to the broader implementation of phytoremediation that urgently requires effectiv…
View article: Kolmogorov-Arnold Network for Gene Regulatory Network Inference
Kolmogorov-Arnold Network for Gene Regulatory Network Inference Open
Gene regulation is central to understanding cellular processes and development, potentially leading to the discovery of new treatments for diseases and personalized medicine. Inferring gene regulatory networks (GRNs) from single-cell RNA s…
View article: Spurious Privacy Leakage in Neural Networks
Spurious Privacy Leakage in Neural Networks Open
Neural networks trained on real-world data often exhibit biases while simultaneously being vulnerable to privacy attacks aimed at extracting sensitive information. Despite extensive research on each problem individually, their intersection…
View article: Inertial-Based Dual-Task Gait Normalcy Index at Turns: A Potential Novel Gait Biomarker for Early-Stage Parkinson’s Disease
Inertial-Based Dual-Task Gait Normalcy Index at Turns: A Potential Novel Gait Biomarker for Early-Stage Parkinson’s Disease Open
As one of the main motor indicators of Parkinson's disease (PD), postural instability and gait disorder (PIGD) might manifest in various but subtle symptoms at early stage resulting in relatively high misdiagnosis rate. Quantitative gait a…
View article: “Double vaccinated, 5G boosted!”: Learning Attitudes towards COVID-19 Vaccination from Social Media
“Double vaccinated, 5G boosted!”: Learning Attitudes towards COVID-19 Vaccination from Social Media Open
The sudden onset of the recently concluded COVID-19 pandemic has driven substantial progress in various scientific fields. One notable example is the comprehension of public vaccination attitudes and the timely monitoring of their fluctuat…
View article: Data-driven inference of Boolean networks from transcriptomes to predict cellular differentiation and reprogramming
Data-driven inference of Boolean networks from transcriptomes to predict cellular differentiation and reprogramming Open
Boolean networks provide robust explainable and predictive models of cellular dynamics, especially for cellular differentiation and fate decision processes. Yet, the construction of such models is extremely challenging, as it requires inte…
View article: Multi-relational graph contrastive learning with learnable graph augmentation
Multi-relational graph contrastive learning with learnable graph augmentation Open
Multi-relational graph learning aims to embed entities and relations in knowledge graphs into low-dimensional representations, which has been successfully applied to various multi-relationship prediction tasks, such as information retrieva…
View article: Integrating Optimal Transport and Structural Inference Models for GRN Inference from Single-cell Data
Integrating Optimal Transport and Structural Inference Models for GRN Inference from Single-cell Data Open
We introduce a novel gene regulatory network (GRN) inference method that integrates optimal transport (OT) with a deep-learning structural inference model. Advances in next-generation sequencing enable detailed yet destructive gene express…
View article: Revealing Chemical Trends: Insights from Data-Driven Visualization and Patent Analysis in Exposomics Research
Revealing Chemical Trends: Insights from Data-Driven Visualization and Patent Analysis in Exposomics Research Open
Understanding historical chemical usage is crucial for assessing current and past impacts on human health and the environment and for informing future regulatory decisions. However, past monitoring data are often limited in scope and numbe…
View article: XRAD: Ransomware Address Detection Method based on Bitcoin Transaction Relationships
XRAD: Ransomware Address Detection Method based on Bitcoin Transaction Relationships Open
Recently, there is a surge in ransomware activities that encrypt users’ sensitive data and demand bitcoins for ransom payments to conceal the criminal’s identity. It is crucial for regulatory agencies to identify as many ransomware address…
View article: Spatial-Temporal Evolution on Trade-Offs and Synergy of Suburban Rural Landscape Production-Living-Ecological Functions: A Case Study of Jiashan in the Yangtze River Delta Eco-Green Integrated Development Demonstration Zone, China
Spatial-Temporal Evolution on Trade-Offs and Synergy of Suburban Rural Landscape Production-Living-Ecological Functions: A Case Study of Jiashan in the Yangtze River Delta Eco-Green Integrated Development Demonstration Zone, China Open
The economic development of the Yangtze River Delta region is in a stage of rapid growth. As a unique intersection of urban and rural functions, contradictions are prominent. The production, life, and ecological functions of suburban rural…
View article: Revealing Chemical Trends: Insights from Data-Driven Visualisation and Patent Analysis in Exposomics Research
Revealing Chemical Trends: Insights from Data-Driven Visualisation and Patent Analysis in Exposomics Research Open
Understanding historical chemical usage is crucial for assessing current and past impacts on human health and the environment and informing future regulatory decisions. However, past monitoring data is often limited in scope and number of …
View article: Formal Verification and Solutions for Estonian E-Voting
Formal Verification and Solutions for Estonian E-Voting Open
peer reviewed
View article: KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning Open
In recent years, Graph Neural Networks (GNNs) have become the de facto tool for learning node and graph representations. Most GNNs typically consist of a sequence of neighborhood aggregation (a.k.a., message-passing) layers, within which t…
View article: Interpretable multiphasic CT-based radiomic analysis for preoperatively differentiating benign and malignant solid renal tumors: a multicenter study
Interpretable multiphasic CT-based radiomic analysis for preoperatively differentiating benign and malignant solid renal tumors: a multicenter study Open
Background To develop and compare machine learning models based on triphasic contrast-enhanced CT (CECT) for distinguishing between benign and malignant renal tumors. Materials and Methods In total, 427 patients were enrolled from two medi…
View article: Exploring Unconfirmed Transactions for Effective Bitcoin Address Clustering
Exploring Unconfirmed Transactions for Effective Bitcoin Address Clustering Open
peer reviewed
View article: Mechanizing the CMP Abstraction for Parameterized Verification
Mechanizing the CMP Abstraction for Parameterized Verification Open
Parameterized verification is a challenging problem that is known to be undecidable in the general case. is a widely-used method for parameterized verification, originally proposed by Chou, Mannava and Park in 2004. It involves abstractin…
View article: miR-208a-3p regulated by circUQCRC2 suppresses ischemia/reperfusion-induced acute kidney injury by inhibiting CELF2-mediated tubular epithelial cell apoptosis, inflammation and ferroptosis
miR-208a-3p regulated by circUQCRC2 suppresses ischemia/reperfusion-induced acute kidney injury by inhibiting CELF2-mediated tubular epithelial cell apoptosis, inflammation and ferroptosis Open
Background : Acute kidney injury (AKI) is a prevalent clinical syndrome with persistent kidney dysfunction. Renal ischemia/reperfusion (I/R) injury is a major cause of AKI. miR-208a-3p overexpression attenuated myocardial I/R injury. This …
View article: Uplift Modeling Under Limited Supervision
Uplift Modeling Under Limited Supervision Open
Estimating causal effects in e-commerce tends to involve costly treatment assignments which can be impractical in large-scale settings. Leveraging machine learning to predict such treatment effects without actual intervention is a standard…
View article: Study on Dynamic Characteristics of Multistage Lattice Reinforced Soil Retaining Wall under Cyclic Load
Study on Dynamic Characteristics of Multistage Lattice Reinforced Soil Retaining Wall under Cyclic Load Open
As a new type of retaining structure, Gabion reinforced retaining wall has been gradually applied in China, but the current research mainly focuses on ground motion loads, and less studies on the impact of vibration loads such as environme…
View article: Bridging Performance of X (formerly known as Twitter) Users: A Predictor of Subjective Well-Being During the Pandemic
Bridging Performance of X (formerly known as Twitter) Users: A Predictor of Subjective Well-Being During the Pandemic Open
The outbreak of the COVID-19 pandemic triggered the perils of misinformation over social media. By amplifying the spreading speed and popularity of trustworthy information, influential social media users have been helping overcome the nega…