b'Jian Chen'

research

∙ 08/29/2023

SimSched: A tool for Simulating Autosar Implementaion in Simulink

AUTOSAR (AUTomotive Open System ARchitecture) is an open industry standa...

0 Jian Chen, et al. ∙

research

∙ 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...

0 Jian Chen, et al. ∙

research

∙ 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 ...

0 Jian Chen, et al. ∙

research

∙ 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...

0 Qiqi Ren, et al. ∙

research

∙ 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...

0 Yuanwei Fang, et al. ∙

research

∙ 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...

0 Mengmeng Ren, et al. ∙

research

∙ 01/02/2023

Timed Model-Based Mutation Operators for Simulink Models

Model-based mutation analysis is a recent research area, and real-time s...

0 Jian Chen, et al. ∙

research

∙ 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...

0 Henan Zhao, et al. ∙

research

∙ 12/13/2022

Boosting Semi-Supervised Learning with Contrastive Complementary Labeling

Semi-supervised learning (SSL) has achieved great success in leveraging ...

0 Qinyi Deng, et al. ∙

research

∙ 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...

0 Bingna Xu, et al. ∙

research

∙ 10/14/2022

Pareto-aware Neural Architecture Generation for Diverse Computational Budgets

Designing feasible and effective architectures under diverse computation...

0 Yong Guo, et al. ∙

research

∙ 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...

0 Jian Chen, et al. ∙

research

∙ 07/30/2022

Improving Fine-tuning of Self-supervised Models with Contrastive Initialization

Self-supervised learning (SSL) has achieved remarkable performance in pr...

0 Haolin Pan, et al. ∙

research

∙ 07/16/2022

Towards Lightweight Super-Resolution with Dual Regression Learning

Deep neural networks have exhibited remarkable performance in image supe...

0 Yong Guo, et al. ∙

research

∙ 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 ...

0 Shuhao Shi, et al. ∙

research

∙ 12/02/2021

Forex Trading Volatility Prediction using Neural Network Models

In this paper, we investigate the problem of predicting the future volat...

0 Shujian Liao, et al. ∙

research

∙ 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 ...

0 Wang Chen, et al. ∙

research

∙ 09/29/2021

Adaptive Multi-layer Contrastive Graph Neural Networks

We present Adaptive Multi-layer Contrastive Graph Neural Networks (AMC-G...

0 Shuhao Shi, et al. ∙

research

∙ 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-...

0 Mingyang Zhang, et al. ∙

research

∙ 08/03/2021

Visualization Resources: A Starting Point

Visualization, as a vibrant field for researchers, practitioners, and hi...

0 Xiaoxiao Liu, et al. ∙

research

∙ 06/30/2021

Content-Aware Convolutional Neural Networks

Convolutional Neural Networks (CNNs) have achieved great success due to ...

6 Yong Guo, et al. ∙

research

∙ 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...

0 Qiqi Ren, et al. ∙

research

∙ 05/20/2021

Document Domain Randomization for Deep Learning Document Layout Extraction

We present document domain randomization (DDR), the first successful tra...

0 Meng Ling, et al. ∙

research

∙ 03/13/2021

Internal Wasserstein Distance for Adversarial Attack and Defense

Deep neural networks (DNNs) are vulnerable to adversarial examples that ...

0 Jincheng Li, et al. ∙

research

∙ 03/13/2021

Learning Defense Transformers for Counterattacking Adversarial Examples

Deep neural networks (DNNs) are vulnerable to adversarial examples with ...

0 Jincheng Li, et al. ∙

research

∙ 02/27/2021

Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets

Designing feasible and effective architectures under diverse computation...

0 Yong Guo, et al. ∙

research

∙ 02/20/2021

Towards Accurate and Compact Architectures via Neural Architecture Transformer

Designing effective architectures is one of the key factors behind the s...

0 Yong Guo, et al. ∙

research

∙ 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...

0 Jian Chen, et al. ∙

research

∙ 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...

0 Jiachun Wang, et al. ∙

research

∙ 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...

0 Lu Lv, et al. ∙

research

∙ 10/22/2020

Defense-guided Transferable Adversarial Attacks

Though deep neural networks perform challenging tasks excellently, they ...

0 Zifei Zhang, et al. ∙

research

∙ 10/10/2020

Double Forward Propagation for Memorized Batch Normalization

Batch Normalization (BN) has been a standard component in designing deep...

0 Yong Guo, et al. ∙

research

∙ 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 ...

0 Han Wu, et al. ∙

research

∙ 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...

0 Chaozheng Wu, et al. ∙

research

∙ 09/21/2020

Conditional Automated Channel Pruning for Deep Neural Networks

Model compression aims to reduce the redundancy of deep networks to obta...

35 Yixin Liu, et al. ∙

research

∙ 09/01/2020

Robust and Secure Communications in Intelligent Reflecting Surface Assisted NOMA networks

This letter investigates secure transmission in an intelligent reflectin...

0 Zheng Zhang, et al. ∙

research

∙ 08/26/2020

Secure Two-Way Communications via Intelligent Reflecting Surfaces

In this letter, we propose to exploit an intelligent reflecting surface ...

0 Lu Lv, et al. ∙

research

∙ 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...

0 Qiqi Ren, et al. ∙

research

∙ 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...

0 Jiacheng Pan, et al. ∙

research

∙ 03/30/2020

Intelligent Interference Engineering for Secure Non-Orthogonal Multiple Access

Non-orthogonal multiple access (NOMA) is an effective approach to improv...

0 Lu Lv, et al. ∙

research

∙ 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...

1 Kai Qiao, et al. ∙

research

∙ 03/16/2020

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

Deep neural networks have exhibited promising performance in image super...

8 Yong Guo, et al. ∙

research

∙ 03/13/2020

BigGAN-based Bayesian reconstruction of natural images from human brain activity

In the visual decoding domain, visually reconstructing presented images ...

10 Kai Qiao, et al. ∙

research

∙ 03/10/2020

Hierarchical Neural Architecture Search for Single Image Super-Resolution

Deep neural networks have exhibited promising performance in image super...

0 Yong Guo, et al. ∙

research

∙ 10/31/2019

NAT: Neural Architecture Transformer for Accurate and Compact Architectures

Designing effective architectures is one of the key factors behind the s...

0 Yong Guo, et al. ∙

research

∙ 10/18/2019

Investigating Task-driven Latent Feasibility for Nonconvex Image Modeling

Properly modeling the latent image distributions always plays a key role...

14 Risheng Liu, et al. ∙

research

∙ 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...

0 Kai Qiao, et al. ∙

research

∙ 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...

0 Henan Zhao, et al. ∙

research

∙ 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...

0 Henan Zhao, et al. ∙

research

∙ 04/12/2019

Cycle-Consistent Adversarial GAN: the integration of adversarial attack and defense

In image classification of deep learning, adversarial examples where inp...

0 Lingyun Jiang, et al. ∙

Jian Chen

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