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Article
Open AccessHistone acetyltransferase Kat2a regulates ferroptosis via enhancing Tfrc and Hmox1 expression in diabetic cardiomyopathy
Diabetic cardiomyopathy (DCM) is a prevalent myocardial microvascular complication of the myocardium with a complex pathogenesis. Investigating the pathogenesis of DCM can significantly contribute to enhancing...
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Article
Don’t Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance
This paper does not describe a novel method. Instead, it studies an incremental, yet must-know baseline given the recent progress in sparse neural network training and Generative Adversarial Networks (GANs). G...
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Article
Open AccessTwo sequence- and two structure-based ML models have learned different aspects of protein biochemistry
Deep learning models are seeing increased use as methods to predict mutational effects or allowed mutations in proteins. The models commonly used for these purposes include large language models (LLMs) and 3D ...
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Article
A Novel Semi-Quantum Co-Signature Scheme Based on GHZ States and Four-Particle Cluster States
The application of semi-quantum key distribution (SQKD) facilitates the development of semi-quantum technology, and semi-quantum signature (SQS) schemes emerged. However, there is no relatively complete securi...
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Article
Troubleshooting image segmentation models with human-in-the-loop
Image segmentation lays the foundation for many high-stakes vision applications such as autonomous driving and medical image analysis. It is, therefore, of great importance to not only improve the accuracy of ...
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Chapter and Conference Paper
Enhancing Adversarial Training via Reweighting Optimization Trajectory
Despite the fact that adversarial training has become the de facto method for improving the robustness of deep neural networks, it is well-known that vanilla adversarial training suffers from daunting robust o...
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Chapter and Conference Paper
Border Ownership, Category Selectivity and Beyond
Object segmentation is a fundamental problem for both biological and machine vision systems. Recent advances in deep learning have allowed significant progress in terms of the ability of machine vision systems...
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Chapter and Conference Paper
DnA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment
Self-supervised (SS) learning has achieved remarkable success in learning strong representation for in-domain few-shot and semi-supervised tasks. However, when transferring such representations to downstream t...
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Chapter and Conference Paper
Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models
Learning to optimize (L2O) has gained increasing attention since it demonstrates a promising path to automating and accelerating the optimization of complicated problems. Unlike manually crafted classical optimiz...
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Chapter and Conference Paper
Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction
The superiority of deep learning based point cloud representations relies on large-scale labeled datasets, while the annotation of point clouds is notoriously expensive. One of the most effective solutions is ...
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Article
Open AccessEfficient identification of multiple pathways: RNA-Seq analysis of livers from 56Fe ion irradiated mice
mRNA interaction with other mRNAs and other signaling molecules determine different biological pathways and functions. Gene co-expression network analysis methods have been widely used to identify correlation ...
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Chapter and Conference Paper
HALO: Hardware-Aware Learning to Optimize
There has been an explosive demand for bringing machine learning (ML) powered intelligence into numerous Internet-of-Things (IoT) devices. However, the effectiveness of such intelligent functionality requires ...
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Article
Open AccessReconstruction and topological characterization of the sigma factor regulatory network of Mycobacterium tuberculosis
Accessory sigma factors, which reprogram RNA polymerase to transcribe specific gene sets, activate bacterial adaptive responses to noxious environments. Here we reconstruct the complete sigma factor regulatory...
