Shuhua Yu
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View article: Trends in artificial intelligence and machine learning for renal cancer
Trends in artificial intelligence and machine learning for renal cancer Open
AI and ML are expected to play an increasingly important in RC research as technological advancements and in-depth studies continue. Addressing the challenges and limitations related to these technologies is crucial for their successful an…
View article: Optimization of university dormitory renovation in severe cold regions under the impact of climate change
Optimization of university dormitory renovation in severe cold regions under the impact of climate change Open
View article: Decentralized Nonconvex Optimization under Heavy-Tailed Noise: Normalization and Optimal Convergence
Decentralized Nonconvex Optimization under Heavy-Tailed Noise: Normalization and Optimal Convergence Open
Heavy-tailed noise in nonconvex stochastic optimization has garnered increasing research interest, as empirical studies, including those on training attention models, suggest it is a more realistic gradient noise condition. This paper stud…
View article: Large Deviation Upper Bounds and Improved MSE Rates of Nonlinear SGD: Heavy-tailed Noise and Power of Symmetry
Large Deviation Upper Bounds and Improved MSE Rates of Nonlinear SGD: Heavy-tailed Noise and Power of Symmetry Open
We study large deviation upper bounds and mean-squared error (MSE) guarantees of a general framework of nonlinear stochastic gradient methods in the online setting, in the presence of heavy-tailed noise. Unlike existing works that rely on …
View article: Nonlinear Stochastic Gradient Descent and Heavy-tailed Noise: A Unified Framework and High-probability Guarantees
Nonlinear Stochastic Gradient Descent and Heavy-tailed Noise: A Unified Framework and High-probability Guarantees Open
We study high-probability convergence in online learning, in the presence of heavy-tailed noise. To combat the heavy tails, a general framework of nonlinear SGD methods is considered, subsuming several popular nonlinearities like sign, qua…
View article: Smoothed Gradient Clipping and Error Feedback for Decentralized Optimization under Symmetric Heavy-Tailed Noise
Smoothed Gradient Clipping and Error Feedback for Decentralized Optimization under Symmetric Heavy-Tailed Noise Open
Motivated by understanding and analysis of large-scale machine learning under heavy-tailed gradient noise, we study decentralized optimization with gradient clipping, i.e., in which certain clipping operators are applied to the gradients o…
View article: Revisiting Image Classifier Training for Improved Certified Robust Defense against Adversarial Patches
Revisiting Image Classifier Training for Improved Certified Robust Defense against Adversarial Patches Open
Certifiably robust defenses against adversarial patches for image classifiers ensure correct prediction against any changes to a constrained neighborhood of pixels. PatchCleanser arXiv:2108.09135 [cs.CV], the state-of-the-art certified def…
View article: Research on the Evaluation of Green Technology Renovation Measurement for Multi-Storey Houses in Severe Cold Regions Based on Entropy-Weight-TOPSIS
Research on the Evaluation of Green Technology Renovation Measurement for Multi-Storey Houses in Severe Cold Regions Based on Entropy-Weight-TOPSIS Open
In the context of global warming and the energy crisis, a large amount of energy consumed by the construction industry has a negative impact on climate change. Green retrofitting for older multi-story houses can significantly reduce energy…
View article: Secure Distributed Optimization Under Gradient Attacks
Secure Distributed Optimization Under Gradient Attacks Open
In this paper, we study secure distributed optimization against arbitrary gradient attack in multi-agent networks. In distributed optimization, there is no central server to coordinate local updates, and each agent can only communicate wit…
View article: A case report about oligodendrogliomas of the fourth ventricle
A case report about oligodendrogliomas of the fourth ventricle Open
Although oligodendrogliomas are usually located in the frontal lobe, with the ones of fourth ventricle extremely rare, they must be kept in mind all times. Treatments applied to our case may be provided as a reference for clinicians. Furth…