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09/09/2023
Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic
Machine learning (ML) is promising in accurately detecting malicious flo...
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08/08/2023
Achieving Covert Communication With A Probabilistic Jamming Strategy
In this work, we consider a covert communication scenario, where a trans...
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05/09/2023
Sparse Sliced Inverse Regression via Random Projection
We propose a novel sparse sliced inverse regression method based on rand...
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02/20/2023
NeuralStagger: accelerating physics-constrained neural PDE solver with spatial-temporal decomposition
Neural networks have shown great potential in accelerating the solution ...
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11/07/2022
Nested sampling statistical errors
Nested sampling (NS) is a popular algorithm for Bayesian computation. We...
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10/25/2022
Goal-Driven Context-Aware Next Service Recommendation for Mashup Composition
As service-oriented architecture becoming one of the most prevalent tech...
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09/16/2022
Whole-Body Lesion Segmentation in 18F-FDG PET/CT
There has been growing research interest in using deep learning based me...
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05/24/2022
Learning Context-Aware Service Representation for Service Recommendation in Workflow Composition
As increasingly more software services have been published onto the Inte...
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11/02/2021
Detect-and-Segment: a Deep Learning Approach to Automate Wound Image Segmentation
Chronic wounds significantly impact quality of life. If not properly man...
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08/07/2021
Culling the herd of moments with penalized empirical likelihood
Models defined by moment conditions are at the center of structural econ...
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12/24/2020
Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations
Multi-agent reinforcement learning (MARL) has been increasingly explored...
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10/19/2020
COSEA: Convolutional Code Search with Layer-wise Attention
Semantic code search, which aims to retrieve code snippets relevant to a...
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07/16/2019
Light Multi-segment Activation for Model Compression
Model compression has become necessary when applying neural networks (NN...
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03/02/2019
A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network
Resource balancing within complex transportation networks is one of the ...
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12/10/2018
Sufficient Dimension Reduction for Classification
We propose a new sufficient dimension reduction approach designed delibe...
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01/06/2018
High Dimensional Elliptical Sliced Inverse Regression in non-Gaussian Distributions
Sliced inverse regression (SIR) is the most widely-used sufficient dimen...
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10/17/2017
Beat by Beat: Classifying Cardiac Arrhythmias with Recurrent Neural Networks
With tens of thousands of electrocardiogram (ECG) records processed by m...
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11/23/2016
Efficient Delivery Policy to Minimize User Traffic Consumption in Guaranteed Advertising
In this work, we study the guaranteed delivery model which is widely use...
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11/22/2016