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191 papers
Deep-learning-aided dismantling of interdependent networks
Weiwei Gu, Chen Yang, Lei Li +2
Identifying the minimal set of nodes whose removal breaks a complex network apart, also referred as the network dismantling problem, is a highly non-trivial task with applications…
Cross-Sensor SAR Data Generation Using Diffusion Models and Feature Migration
Xuanting Wu, Fan Zhang, Fei Ma +2
Different synthetic aperture radar (SAR) sensors vary significantly in resolution, polarization modes, and frequency bands, making it difficult to directly apply existing models to…
Is Fairness Truly Fair? Towards Reliable Lipschitz Fairness in Multi-Task Learning via Fixed-\texorpdfstring{}{delta} Alignment
Junbo Ding, Xin Zang, Chenchen Pan +3
Lipschitz-style individual fairness formalizes the idea that semantically similar examples should receive similar predictions, but its evaluation in multi-task learning (MTL) can b…
From Sustainable Materials to User-Centered Sustainability: Material Experience in Art Healing
Yuxin Zhang, Fan Zhang, Zihao Song +1
This study develops sustainable materials using hydrogel as the matrix and explores the transition from sustainable materials to user-centered sustainability, with a particular foc…
The effect of graphene orientation on permeability and corrosion initiation under composite coatings
Majid Shaker, Erfan Salahinejad, Weiqi Cao +3
The unique anisotropic properties of graphene, particularly impermeability, have made it a promising candidate for further advances in corrosion prevention applications. Despite th…
GeoDiff-SAR: A Geometric Prior Guided Diffusion Model for SAR Image Generation
Fan Zhang, Xuanting Wu, Fei Ma +2
Synthetic aperture radar (SAR) image generation can mitigate data scarcity, but controllablegeneration under sparse observation angles remains difficult. Recent SAR generative stud…