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08/29/2023
SimSched: A tool for Simulating Autosar Implementaion in Simulink
AUTOSAR (AUTomotive Open System ARchitecture) is an open industry standa...
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06/13/2023
Learning under Selective Labels with Data from Heterogeneous Decision-makers: An Instrumental Variable Approach
We study the problem of learning with selectively labeled data, which ar...
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05/31/2023
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels
Learning from noisy labels is an important and long-standing problem in ...
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05/07/2023
Handoff-Aware Distributed Computing in High Altitude Platform Station (HAPS)-Assisted Vehicular Networks
Distributed computing enables Internet of vehicle (IoV) services by coll...
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04/18/2023
NPS: A Framework for Accurate Program Sampling Using Graph Neural Network
With the end of Moore's Law, there is a growing demand for rapid archite...
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01/25/2023
Energy-Delay Tradeoff in Helper-Assisted NOMA-MEC Systems: A Four-Sided Matching Algorithm
This paper designs a helper-assisted resource allocation strategy in non...
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01/02/2023
Timed Model-Based Mutation Operators for Simulink Models
Model-based mutation analysis is a recent research area, and real-time s...
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12/25/2022
Evaluating Alternative Glyph Design for Showing Large-Magnitude-Range Quantum Spins
We present experimental results to explore a form of bivariate glyphs fo...
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12/13/2022
Boosting Semi-Supervised Learning with Contrastive Complementary Labeling
Semi-supervised learning (SSL) has achieved great success in leveraging ...
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11/19/2022
Downscaled Representation Matters: Improving Image Rescaling with Collaborative Downscaled Images
Deep networks have achieved great success in image rescaling (IR) task t...
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10/14/2022
Pareto-aware Neural Architecture Generation for Diverse Computational Budgets
Designing feasible and effective architectures under diverse computation...
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09/15/2022
Not As Easy As You Think – Experiences and Lessons Learnt from Trying to Create a Bottom-Up Visualization Image Typology
We present and discuss the results of a two-year qualitative analysis of...
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07/30/2022
Improving Fine-tuning of Self-supervised Models with Contrastive Initialization
Self-supervised learning (SSL) has achieved remarkable performance in pr...
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07/16/2022
Towards Lightweight Super-Resolution with Dual Regression Learning
Deep neural networks have exhibited remarkable performance in image supe...
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05/08/2022
Select and Calibrate the Low-confidence: Dual-Channel Consistency based Graph Convolutional Networks
The Graph Convolutional Networks (GCNs) have achieved excellent results ...
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12/02/2021
Forex Trading Volatility Prediction using Neural Network Models
In this paper, we investigate the problem of predicting the future volat...
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10/27/2021
A novel multiobjective evolutionary algorithm based on decomposition and multi-reference points strategy
Many real-world optimization problems such as engineering design can be ...
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09/29/2021
Adaptive Multi-layer Contrastive Graph Neural Networks
We present Adaptive Multi-layer Contrastive Graph Neural Networks (AMC-G...
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09/24/2021
Indoor Localization Using Smartphone Magnetic with Multi-Scale TCN and LSTM
A novel multi-scale temporal convolutional network (TCN) and long short-...
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08/03/2021
Visualization Resources: A Starting Point
Visualization, as a vibrant field for researchers, practitioners, and hi...
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06/30/2021
Content-Aware Convolutional Neural Networks
Convolutional Neural Networks (CNNs) have achieved great success due to ...
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06/28/2021
Caching and Computation Offloading in High Altitude Platform Station (HAPS) Assisted Intelligent Transportation Systems
Edge intelligence, which is a new paradigm to accelerate artificial inte...
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05/20/2021
Document Domain Randomization for Deep Learning Document Layout Extraction
We present document domain randomization (DDR), the first successful tra...
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03/13/2021
Internal Wasserstein Distance for Adversarial Attack and Defense
Deep neural networks (DNNs) are vulnerable to adversarial examples that ...
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03/13/2021
Learning Defense Transformers for Counterattacking Adversarial Examples
Deep neural networks (DNNs) are vulnerable to adversarial examples with ...
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02/27/2021
Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets
Designing feasible and effective architectures under diverse computation...
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02/20/2021
Towards Accurate and Compact Architectures via Neural Architecture Transformer
Designing effective architectures is one of the key factors behind the s...
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12/22/2020
VIS30K: A Collection of Figures and Tables from IEEE Visualization Conference Publications
We present the VIS30K dataset, a collection of 29,689 images that repres...
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12/14/2020
StackRec: Efficient Training of Very Deep Sequential Recommender Models by Layer Stacking
Deep learning has brought great progress for the sequential recommendati...
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12/06/2020
Covert Communication in Intelligent Reflecting Surface-Assisted NOMA Systems: Design, Analysis, and Optimization
In this paper, we investigate covert communication in an intelligent ref...
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10/22/2020
Defense-guided Transferable Adversarial Attacks
Though deep neural networks perform challenging tasks excellently, they ...
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10/10/2020
Double Forward Propagation for Memorized Batch Normalization
Batch Normalization (BN) has been a standard component in designing deep...
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09/30/2020
Is AI Model Interpretable to Combat with COVID? An Empirical Study on Severity Prediction Task
Black-box nature hinders the deployment of many high-accuracy models in ...
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09/26/2020
Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps
Learning robotic grasps from visual observations is a promising yet chal...
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09/21/2020
Conditional Automated Channel Pruning for Deep Neural Networks
Model compression aims to reduce the redundancy of deep networks to obta...
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09/01/2020
Robust and Secure Communications in Intelligent Reflecting Surface Assisted NOMA networks
This letter investigates secure transmission in an intelligent reflectin...
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08/26/2020
Secure Two-Way Communications via Intelligent Reflecting Surfaces
In this letter, we propose to exploit an intelligent reflecting surface ...
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08/12/2020
An Application-Driven Non-Orthogonal Multiple Access Enabled Computation Offloading Scheme
To cope with the unprecedented surge in demand for data computing for th...
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08/03/2020
Exemplar-based Layout Fine-tuning for Node-link Diagrams
We design and evaluate a novel layout fine-tuning technique for node-lin...
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03/30/2020
Intelligent Interference Engineering for Secure Non-Orthogonal Multiple Access
Non-orthogonal multiple access (NOMA) is an effective approach to improv...
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03/26/2020
Neural encoding and interpretation for high-level visual cortices based on fMRI using image caption features
On basis of functional magnetic resonance imaging (fMRI), researchers ar...
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03/16/2020
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
Deep neural networks have exhibited promising performance in image super...
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03/13/2020
BigGAN-based Bayesian reconstruction of natural images from human brain activity
In the visual decoding domain, visually reconstructing presented images ...
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03/10/2020
Hierarchical Neural Architecture Search for Single Image Super-Resolution
Deep neural networks have exhibited promising performance in image super...
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10/31/2019
NAT: Neural Architecture Transformer for Accurate and Compact Architectures
Designing effective architectures is one of the key factors behind the s...
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10/18/2019
Investigating Task-driven Latent Feasibility for Nonconvex Image Modeling
Properly modeling the latent image distributions always plays a key role...
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07/27/2019
Effective and efficient ROI-wise visual encoding using an end-to-end CNN regression model and selective optimization
Recently, visual encoding based on functional magnetic resonance imaging...
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05/07/2019
What Do People See in a Twenty-Second Glimpse of Bivariate Vector Field Visualizations?
Little is known about how people learn from a brief glimpse of three-dim...
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05/06/2019
Picturing Bivariate Separable-Features for Univariate Vector Magnitudes in Large-Magnitude-Range Quantum Physics Data
We present study results from two experiments to empirically validate th...
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04/12/2019
