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07/19/2023
Watch out Venomous Snake Species: A Solution to SnakeCLEF2023
The SnakeCLEF2023 competition aims to the development of advanced algori...
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02/07/2023
Delving Deep into Simplicity Bias for Long-Tailed Image Recognition
Simplicity Bias (SB) is a phenomenon that deep neural networks tend to r...
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09/28/2022
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning
Semi-supervised few-shot learning consists in training a classifier to a...
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06/11/2021
Monotonic Neural Network: combining Deep Learning with Domain Knowledge for Chiller Plants Energy Optimization
In this paper, we are interested in building a domain knowledge based de...
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04/14/2021
Zero-Shot Instance Segmentation
Deep learning has significantly improved the precision of instance segme...
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10/17/2020
Deep Learning in the Era of Edge Computing: Challenges and Opportunities
The era of edge computing has arrived. Although the Internet is the back...
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07/21/2020
AinnoSeg: Panoramic Segmentation with High Perfomance
Panoramic segmentation is a scene where image segmentation tasks is more...
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01/07/2020
Provenance-based Classification Policy based on Encrypted Search
As an important type of cloud data, digital provenance is arousing incre...
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01/07/2020
A fine-grained policy model for Provenance-based Access Control and Policy Algebras.pdf
A fine-grained provenance-based access control policy model is proposed ...
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12/01/2019
On the Security of A Remote Cloud Storage Integrity Checking Protocol
Data security and privacy is an important but challenging problem in clo...
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12/01/2019
Zero knowledge proofs for cloud storage integrity checking
With the wide application of cloud storage, cloud security has become a ...
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12/01/2019
Purpose-based access policy on provenance and data algebra
It is a crucial mechanism of access control to determine that data can o...
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12/01/2019
PACLP: a fine-grained partition-based access control policy language for provenance
Even though the idea of partitioning provenance graphs for access contro...
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11/13/2019
Dynamic Connected Neural Decision Classifier and Regressor with Dynamic Softing Pruning
In the regression problem, L1, L2 are the most commonly-used loss functi...
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11/13/2019
Regression via Arbitrary Quantile Modeling
In the regression problem, L1 and L2 are the most commonly used loss fun...
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08/31/2019
HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking
The use of automatic methods, often referred to as Neural Architecture S...
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05/05/2019