Xiang Chen

MLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG

Automatic arrhythmia detection using 12-lead electrocardiogram (ECG) sig...
08/17/2020 ∙ by Jing Zhang, et al. ∙ 2 ∙ share

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AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency

Convolutional Neural Networks (CNNs) achieved great cognitive performanc...
08/14/2020 ∙ by Fuxun Yu, et al. ∙ 17 ∙ share

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LR-CNN: Local-aware Region CNN for Vehicle Detection in Aerial Imagery

State-of-the-art object detection approaches such as Fast/Faster R-CNN, ...
05/28/2020 ∙ by Wentong Liao, et al. ∙ 6 ∙ share

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Generative Feature Replay with Orthogonal Weight Modification for Continual Learning

The ability of intelligent agents to learn and remember multiple tasks s...
05/07/2020 ∙ by Gehui Shen, et al. ∙ 0 ∙ share

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Average Age of Changed Information in the Internet of Things

The freshness of status updates is imperative in mission-critical Intern...
03/01/2020 ∙ by Wenrui Lin, et al. ∙ 0 ∙ share

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Joint Transmission and Computing Scheduling for Status Update with Mobile Edge Computing

Age of Information (AoI), defined as the time elapsed since the generati...
02/22/2020 ∙ by Jie Gong, et al. ∙ 0 ∙ share

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RapidLayout: Fast Hard Block Placement of FPGA-optimized Systolic Arrays using Evolutionary Algorithms

Evolutionary algorithms can outperform conventional placement algorithms...
02/17/2020 ∙ by Niansong Zhang, et al. ∙ 0 ∙ share

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Analysis on Computation-Intensive Status Update in Mobile Edge Computing

In status update scenarios, the freshness of information is measured in ...
02/15/2020 ∙ by Qiaobin Kuang, et al. ∙ 0 ∙ share

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COKE: Communication-Censored Kernel Learning for Decentralized Non-parametric Learning

This paper studies the decentralized optimization and learning problem w...
01/28/2020 ∙ by Ping Xu, et al. ∙ 0 ∙ share

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An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices

Weight pruning has been widely acknowledged as a straightforward and eff...
01/20/2020 ∙ by Xiaolong Ma, et al. ∙ 18 ∙ share

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SQLFlow: A Bridge between SQL and Machine Learning

Industrial AI systems are mostly end-to-end machine learning (ML) workfl...
01/19/2020 ∙ by Yi Wang, et al. ∙ 0 ∙ share

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ELFISH: Resource-Aware Federated Learning on Heterogeneous Edge Devices

In this work, we propose ELFISH - a resource-aware federated learning fr...
12/03/2019 ∙ by Zirui Xu, et al. ∙ 0 ∙ share

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Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning

Current state-of-the-art object detectors can have significant performan...
11/17/2019 ∙ by Fuxun Yu, et al. ∙ 47 ∙ share

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LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications

Recently, adversarial attacks can be applied to the physical world, caus...
10/17/2019 ∙ by Zirui Xu, et al. ∙ 0 ∙ share

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Task-Adaptive Incremental Learning for Intelligent Edge Devices

Convolutional Neural Networks (CNNs) are used for a wide range of image-...
10/07/2019 ∙ by Zhuwei Qin, et al. ∙ 0 ∙ share

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Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation

The state-of-art DNN structures involve intensive computation and high m...
08/27/2019 ∙ by Xiaolong Ma, et al. ∙ 19 ∙ share

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Multi-stage Deep Classifier Cascades for Open World Recognition

At present, object recognition studies are mostly conducted in a closed ...
08/26/2019 ∙ by Xiaojie Guo, et al. ∙ 0 ∙ share

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Revisiting Heterogeneous Defect Prediction: How Far Are We?

Until now, researchers have proposed several novel heterogeneous defect ...
08/19/2019 ∙ by Xiang Chen, et al. ∙ 0 ∙ share

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ADMM for Efficient Deep Learning with Global Convergence

Alternating Direction Method of Multipliers (ADMM) has been used success...
05/31/2019 ∙ by Junxiang Wang, et al. ∙ 0 ∙ share

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DoPa: A Fast and Comprehensive CNN Defense Methodology against Physical Adversarial Attacks

Recently, Convolutional Neural Networks (CNNs) demonstrate a considerabl...
05/21/2019 ∙ by Zirui Xu, et al. ∙ 0 ∙ share

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Interpreting and Evaluating Neural Network Robustness

Recently, adversarial deception becomes one of the most considerable thr...
05/10/2019 ∙ by Fuxun Yu, et al. ∙ 0 ∙ share

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FTGAN: A Fully-trained Generative Adversarial Networks for Text to Face Generation

As a sub-domain of text-to-image synthesis, text-to-face generation has ...
04/11/2019 ∙ by Xiang Chen, et al. ∙ 0 ∙ share

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DeepCount: Crowd Counting with WiFi via Deep Learning

Recently, the research of wireless sensing has achieved more intelligent...
03/13/2019 ∙ by Shangqing Liu, et al. ∙ 0 ∙ share

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Reducing Age-of-Information for Computation-Intensive Messages via Packet Replacement

Freshness of data is an important performance metric for real-time appli...
01/15/2019 ∙ by Jie Gong, et al. ∙ 0 ∙ share

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Age-of-Information for Computation-Intensive Messages in Mobile Edge Computing

Age-of-information (AoI) is a novel metric that measures the freshness o...
01/07/2019 ∙ by Qiaobin Kuang, et al. ∙ 0 ∙ share

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Background Subtraction with Real-time Semantic Segmentation

Accurate and fast foreground object extraction is very important for obj...
11/25/2018 ∙ by Dongdong Zeng, et al. ∙ 0 ∙ share

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Demystifying Neural Network Filter Pruning

Based on filter magnitude ranking (e.g. L1 norm), conventional filter pr...
10/29/2018 ∙ by Zhuwei Qin, et al. ∙ 0 ∙ share

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Distilling Critical Paths in Convolutional Neural Networks

Neural network compression and acceleration are widely demanded currentl...
10/28/2018 ∙ by Fuxun Yu, et al. ∙ 0 ∙ share

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Learning color space adaptation from synthetic to real images of cirrus clouds

Training on synthetic data is becoming popular in vision due to the conv...
10/24/2018 ∙ by Qing Lyu, et al. ∙ 0 ∙ share

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Progressive Weight Pruning of Deep Neural Networks using ADMM

Deep neural networks (DNNs) although achieving human-level performance i...
10/17/2018 ∙ by Shaokai Ye, et al. ∙ 16 ∙ share

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Interpretable Convolutional Filter Pruning

The sophisticated structure of Convolutional Neural Network (CNN) allows...
10/12/2018 ∙ by Zhuwei Qin, et al. ∙ 0 ∙ share

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Interpreting Adversarial Robustness: A View from Decision Surface in Input Space

One popular hypothesis of neural network generalization is that the flat...
09/29/2018 ∙ by Fuxun Yu, et al. ∙ 0 ∙ share

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HASP: A High-Performance Adaptive Mobile Security Enhancement Against Malicious Speech Recognition

Nowadays, machine learning based Automatic Speech Recognition (ASR) tech...
09/04/2018 ∙ by Zirui Xu, et al. ∙ 0 ∙ share

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Energy-Age Tradeoff in Status Update Communication Systems with Retransmission

Age-of-information is a novel performance metric in communication system...
08/06/2018 ∙ by Jie Gong, et al. ∙ 0 ∙ share

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Towards Robust Training of Neural Networks by Regularizing Adversarial Gradients

In recent years, neural networks have demonstrated outstanding effective...
05/23/2018 ∙ by Fuxun Yu, et al. ∙ 0 ∙ share

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Towards Global Optimization in Display Advertising by Integrating Multimedia Metrics with Real-Time Bidding

Real-time bidding (RTB) has become a new norm in display advertising whe...
05/21/2018 ∙ by Xiang Chen, et al. ∙ 0 ∙ share

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How convolutional neural network see the world - A survey of convolutional neural network visualization methods

Nowadays, the Convolutional Neural Networks (CNNs) have achieved impress...
04/30/2018 ∙ by Zhuwei Qin, et al. ∙ 0 ∙ share

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ASP:A Fast Adversarial Attack Example Generation Framework based on Adversarial Saliency Prediction

With the excellent accuracy and feasibility, the Neural Networks have be...
02/15/2018 ∙ by Fuxun Yu, et al. ∙ 0 ∙ share

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Security in Mobile Edge Caching with Reinforcement Learning

Mobile edge computing usually uses cache to support multimedia contents ...
01/18/2018 ∙ by Liang Xiao, et al. ∙ 0 ∙ share

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Aviation Time Minimization of UAV for Data Collection over Wireless Sensor Networks

In this paper, we consider a scenario where an unmanned aerial vehicle (...
01/09/2018 ∙ by Jie Gong, et al. ∙ 0 ∙ share

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MM2RTB: Bringing Multimedia Metrics to Real-Time Bidding

In display advertising, users' online ad experiences are important for t...
08/01/2017 ∙ by Xiang Chen, et al. ∙ 0 ∙ share

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Optimizing Trade-offs Among Stakeholders in Real-Time Bidding by Incorporating Multimedia Metrics

Displaying banner advertisements (in short, ads) on webpages has usually...
05/30/2017 ∙ by Xiang Chen, et al. ∙ 0 ∙ share

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Xiang Chen

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