Yi Wang

Optimization of Artificial Bee Colony Algorithm Based Load Balancing in Smart Grid Cloud

2019

Cloud computing is a computing paradigm that allocates computing resources by using virtualization technology. Load balancing algorithm is a vital part of the cloud data center to guarantee effective resource utilization and energy consumption management. …

Deeply-Supervised Networks With Threshold Loss for Cancer Detection in Automated Breast Ultrasound

2019 · IEEE Transactions on Medical Imaging

ABUS, or Automated breast ultrasound, is an innovative and promising method of screening for breast examination. Comparing to common B-mode 2D ultrasound, ABUS attains operator-independent image acquisition and also provides 3D views of the whole …

Geometric Loss For Deep Multiple Sclerosis Lesion Segmentation

2021

Multiple sclerosis (MS) lesions occupy a small fraction of the brain volume, and are heterogeneous with regards to shape, size and locations, which poses a great challenge for training deep learning based segmentation models. We …

Identifying Mis-Configured Author Profiles on Google Scholar Using Deep Learning

2021 · Applied Sciences

Google Scholar has been a widely used platform for academic performance evaluation and citation analysis. The issue about the mis-configuration of author profiles may seriously damage the reliability of the data, and thus affect the …

Adaptive Discriminative Regularization for Visual Classification

2022 · arXiv (Cornell University)

How to improve discriminative feature learning is central in classification. Existing works address this problem by explicitly increasing inter-class separability and intra-class similarity, whether by constructing positive and negative pairs for contrastive learning or posing …

SimPLe: Similarity-Aware Propagation Learning for Weakly-Supervised Breast Cancer Segmentation in DCE-MRI

2023 · arXiv (Cornell University)

Breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) plays an important role in the screening and prognosis assessment of high-risk breast cancer. The segmentation of cancerous regions is essential useful for the subsequent analysis of breast …

Anomaly Detection Algorithm for Urban Infrastructure Construction Equipment based on Multidimensional Time Series

2024 · Sustainability

Safety is the foundation of urban sustainable development. The urban construction and operation process involves a large amount of multidimensional time series data. By detecting anomalies in these multidimensional time subsequences (MTSs), decision support can …

Federated Graph Learning for EV Charging Demand Forecasting with Personalization Against Cyberattacks

2024 · arXiv (Cornell University)

Mitigating cybersecurity risk in electric vehicle (EV) charging demand forecasting plays a crucial role in the safe operation of collective EV chargings, the stability of the power grid, and the cost-effective infrastructure expansion. However, existing …

Towards Multi-modality Fusion and Prototype-based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound

2024 · arXiv (Cornell University)

Prostate cancer is a highly prevalent cancer and ranks as the second leading cause of cancer-related deaths in men globally. Recently, the utilization of multi-modality transrectal ultrasound (TRUS) has gained significant traction as a valuable …

SpectralEarth: Training Hyperspectral Foundation Models at Scale

2024 · arXiv (Cornell University)

Foundation models have triggered a paradigm shift in computer vision and are increasingly being adopted in remote sensing, particularly for multispectral imagery. Yet, their potential in hyperspectral imaging (HSI) remains untapped due to the absence …

XTRUST: On the Multilingual Trustworthiness of Large Language Models

2024 · arXiv (Cornell University)

Large language models (LLMs) have demonstrated remarkable capabilities across a range of natural language processing (NLP) tasks, capturing the attention of both practitioners and the broader public. A key question that now preoccupies the AI …

Open-Source Conversational AI with SpeechBrain 1.0

2024 · Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)

SpeechBrain is an open-source Conversational AI toolkit based on PyTorch, focused particularly on speech processing tasks such as speech recognition, speech enhancement, speaker recognition, text-to-speech, and much more. It promotes transparency and replicability by releasing …

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

2015 · arXiv (Cornell University)

We show that an end-to-end deep learning approach can be used to recognize either English or Mandarin Chinese speech--two vastly different languages. Because it replaces entire pipelines of hand-engineered components with neural networks, end-to-end learning …