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08/01/2023
Zero-Shot Learning by Harnessing Adversarial Samples
Zero-Shot Learning (ZSL) aims to recognize unseen classes by generalizin...
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06/28/2023
Reduce Computational Complexity for Convolutional Layers by Skipping Zeros
Deep neural networks rely on parallel processors for acceleration. To de...
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05/15/2023
Dragon-Alpha cu32: A Java-based Tensor Computing Framework With its High-Performance CUDA Library
Java is very powerful, but in Deep Learning field, its capabilities prob...
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09/01/2022
ByteStore: Hybrid Layouts for Main-Memory Column Stores
The performance of main memory column stores highly depends on the scan ...
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08/19/2022
Background Invariance Testing According to Semantic Proximity
In many applications, machine learned (ML) models are required to hold s...
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06/19/2022
MME-CRS: Multi-Metric Evaluation Based on Correlation Re-Scaling for Evaluating Open-Domain Dialogue
Automatic open-domain dialogue evaluation is a crucial component of dial...
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05/15/2022
Adaptive Prompt Learning-based Few-Shot Sentiment Analysis
In the field of natural language processing, sentiment analysis via deep...
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04/04/2022
Experimental quantum adversarial learning with programmable superconducting qubits
Quantum computing promises to enhance machine learning and artificial in...
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11/18/2021
CLMB: deep contrastive learning for robust metagenomic binning
The reconstruction of microbial genomes from large metagenomic datasets ...
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11/07/2021
Multi-Scale Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition
Skeleton data is of low dimension. However, there is a trend of using ve...
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09/27/2021
ML4ML: Automated Invariance Testing for Machine Learning Models
In machine learning workflows, determining invariance qualities of a mod...
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07/19/2021
Face.evoLVe: A High-Performance Face Recognition Library
In this paper, we develop face.evoLVe – a comprehensive library that col...
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01/11/2021
Colorectal Polyp Detection in Real-world Scenario: Design and Experiment Study
Colorectal polyps are abnormal tissues growing on the intima of the colo...
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09/21/2020
A Sequential Modelling Approach for Indoor Temperature Prediction and Heating Control in Smart Buildings
The rising availability of large volume data has enabled a wide applicat...
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03/02/2020
Finding Interesting Frames in Deep Video Analytics: a Top-K Approach
Recently, the impressive accuracy of deep neural networks (DNNs) has cre...
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01/03/2020
High Performance Depthwise and Pointwise Convolutions on Mobile Devices
Lightweight convolutional neural networks (e.g., MobileNets) are specifi...
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12/26/2019
Colorectal Polyp Segmentation by U-Net with Dilation Convolution
Colorectal cancer (CRC) is one of the most commonly diagnosed cancers an...
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09/26/2019
Information Scrambling in Quantum Neural Networks
Quantum neural networks are one of the promising applications for near-t...
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09/05/2019
AFP-Net: Realtime Anchor-Free Polyp Detection in Colonoscopy
Colorectal cancer (CRC) is a common and lethal disease. Globally, CRC is...
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09/03/2019
EleAtt-RNN: Adding Attentiveness to Neurons in Recurrent Neural Networks
Recurrent neural networks (RNNs) are capable of modeling temporal depend...
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08/29/2019
3D Anchor-Free Lesion Detector on Computed Tomography Scans
Lesions are injuries and abnormal tissues in the human body. Detecting l...
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08/22/2019
Multi-Stream Single Shot Spatial-Temporal Action Detection
We present a 3D Convolutional Neural Networks (CNNs) based single shot d...
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06/10/2019
Multimodal Data Fusion of Non-Gaussian Spatial Fields in Sensor Networks
We develop a robust data fusion algorithm for field reconstruction of mu...
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04/02/2019
Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition
Skeleton-based human action recognition has attracted a lot of interests...
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03/07/2019
SR-LSTM: State Refinement for LSTM towards Pedestrian Trajectory Prediction
In crowd scenarios, reliable trajectory prediction of pedestrians requir...
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01/22/2019
Unsupervised Learning-based Depth Estimation aided Visual SLAM Approach
The RGB-D camera maintains a limited range for working and is hard to ac...
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12/12/2018
Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity
As societies around the world are ageing, the number of Alzheimer's dise...
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12/05/2018
Attention Boosted Sequential Inference Model
Attention mechanism has been proven effective on natural language proces...
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10/06/2018
Towards Self-Tuning Parameter Servers
Recent years, many applications have been driven advances by the use of ...
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07/12/2018
Adding Attentiveness to the Neurons in Recurrent Neural Networks
Recurrent neural networks (RNNs) are capable of modeling the temporal dy...
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05/26/2018
Deep Learning Topological Invariants of Band Insulators
In this work we design and train deep neural networks to predict topolog...
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05/26/2018
Deep Learning for Topological Invariants
In this work we design and train deep neural networks to predict topolog...
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04/20/2018
View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition
Skeleton-based human action recognition has recently attracted increasin...
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11/22/2017
Riemannian tangent space mapping and elastic net regularization for cost-effective EEG markers of brain atrophy in Alzheimer's disease
The diagnosis of Alzheimer's disease (AD) in routine clinical practice i...
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11/12/2017
Sensor Selection and Random Field Reconstruction for Robust and Cost-effective Heterogeneous Weather Sensor Networks for the Developing World
We address the two fundamental problems of spatial field reconstruction ...
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03/24/2017
View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data
Skeleton-based human action recognition has recently attracted increasin...
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08/10/2009