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06/27/2023
Internal Contrastive Learning for Generalized Out-of-distribution Fault Diagnosis (GOOFD) Framework
Fault diagnosis is essential in industrial processes for monitoring the ...
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05/14/2023
Deep Learning Empowered Type-II Codebook: New Paradigm for Enhancing CSI Feedback
Deep learning based channel state information (CSI) feedback in frequenc...
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05/11/2023
An Ensemble Learning Approach for Exercise Detection in Type 1 Diabetes Patients
Type 1 diabetes is a serious disease in which individuals are unable to ...
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04/01/2023
Improving Fast Adversarial Training with Prior-Guided Knowledge
Fast adversarial training (FAT) is an efficient method to improve robust...
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12/26/2022
OMSN and FAROS: OCTA Microstructure Segmentation Network and Fully Annotated Retinal OCTA Segmentation Dataset
The lack of efficient segmentation methods and fully-labeled datasets li...
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09/13/2022
A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation Is the Fixed Point of Adversarial Game
Rank aggregation with pairwise comparisons has shown promising results i...
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07/18/2022
Prior-Guided Adversarial Initialization for Fast Adversarial Training
Fast adversarial training (FAT) effectively improves the efficiency of s...
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07/17/2022
Gigapixel Whole-Slide Images Classification using Locally Supervised Learning
Histopathology whole slide images (WSIs) play a very important role in c...
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03/13/2022
LAS-AT: Adversarial Training with Learnable Attack Strategy
Adversarial training (AT) is always formulated as a minimax problem, of ...
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02/17/2022
Visual attention analysis of pathologists examining whole slide images of Prostate cancer
We study the attention of pathologists as they examine whole-slide image...
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11/18/2021
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence
Artificial intelligence (AI) provides a promising substitution for strea...
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11/10/2021
Deep Learning for Beam-Management: State-of-the-Art, Opportunities and Challenges
Benefiting from huge bandwidth resources, millimeter-wave (mmWave) commu...
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07/05/2021
Poisoning Attack against Estimating from Pairwise Comparisons
As pairwise ranking becomes broadly employed for elections, sports compe...
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02/22/2021
HAIR: Head-mounted AR Intention Recognition
Human teams exhibit both implicit and explicit intention sharing. To fur...
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01/28/2021
AdaSpring: Context-adaptive and Runtime-evolutionary Deep Model Compression for Mobile Applications
There are many deep learning (e.g., DNN) powered mobile and wearable app...
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01/08/2021
Deep Learning Assisted Calibrated Beam Training for Millimeter-Wave Communication Systems
Huge overhead of beam training poses a significant challenge in millimet...
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01/01/2021
On Stochastic Variance Reduced Gradient Method for Semidefinite Optimization
The low-rank stochastic semidefinite optimization has attracted rising a...
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11/29/2020
Intrinsic Decomposition of Document Images In-the-Wild
Automatic document content processing is affected by artifacts caused by...
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08/27/2020
Attribute-guided image generation from layout
Recent approaches have achieved great success in image generation from s...
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08/01/2020
Cyber-Resilient Transactive Energy System Design over Insecure Communication Links
In this paper, the privacy and security issues associated with transacti...
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12/01/2019
Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size
Learning representation from relative similarity comparisons, often call...
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12/05/2018
Robust Ordinal Embedding from Contaminated Relative Comparisons
Existing ordinal embedding methods usually follow a two-stage routine: o...
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12/05/2018
Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin
In the absence of prior knowledge, ordinal embedding methods obtain new ...
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11/17/2017