Cheng Chen

Neural Network Training Techniques Regularize Optimization Trajectory: An Empirical Study

Modern deep neural network (DNN) trainings utilize various training tech...
11/13/2020 ∙ by Cheng Chen, et al. ∙ 3 ∙ share

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Efficient Projection-Free Algorithms for Saddle Point Problems

The Frank-Wolfe algorithm is a classic method for constrained optimizati...
10/21/2020 ∙ by Cheng Chen, et al. ∙ 0 ∙ share

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Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning

We present a fast simulation application based on a Deep Neural Network,...
10/05/2020 ∙ by Cheng Chen, et al. ∙ 0 ∙ share

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FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding

Few-learn learning (FSL) is one of the key future steps in machine learn...
09/17/2020 ∙ by Yutai Hou, et al. ∙ 10 ∙ share

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Revisiting Co-Occurring Directions: Sharper Analysis and Efficient Algorithm for Sparse Matrices

We study the streaming model for approximate matrix multiplication (AMM)...
09/05/2020 ∙ by Luo Luo, et al. ∙ 5 ∙ share

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An autocovariance-based learning framework for high-dimensional functional time series

Many scientific and economic applications involve the analysis of high-d...
08/29/2020 ∙ by Jinyuan Chang, et al. ∙ 0 ∙ share

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Learning Directional Feature Maps for Cardiac MRI Segmentation

Cardiac MRI segmentation plays a crucial role in clinical diagnosis for ...
07/22/2020 ∙ by Feng Cheng, et al. ∙ 17 ∙ share

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Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency

Recent advances in large-scale optimal transport have greatly extended i...
03/14/2020 ∙ by Guansong Lu, et al. ∙ 16 ∙ share

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Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion

Accurate medical image segmentation commonly requires effective learning...
02/22/2020 ∙ by Cheng Chen, et al. ∙ 10 ∙ share

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Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation

Unsupervised domain adaptation has increasingly gained interest in medic...
02/06/2020 ∙ by Cheng Chen, et al. ∙ 0 ∙ share

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A Stochastic Proximal Point Algorithm for Saddle-Point Problems

We consider saddle point problems which objective functions are the aver...
09/13/2019 ∙ by Luo Luo, et al. ∙ 0 ∙ share

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Multi-Instance Multi-Scale CNN for Medical Image Classification

Deep learning for medical image classification faces three major challen...
07/04/2019 ∙ by Shaohua Li, et al. ∙ 0 ∙ share

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Millemeter-Wave Fixed Wireless Access Using IEEE 802.11ay

IEEE 802.11ay defines new PHY and MAC specifications that enable 100 Gbp...
06/28/2019 ∙ by Cheng Chen, et al. ∙ 0 ∙ share

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Physical Layer Performance Evaluation of Wireless Infrared-based LiFi Uplink

LiFi (light-fidelity) is recognised as a promising technology for the ne...
04/30/2019 ∙ by Cheng Chen, et al. ∙ 0 ∙ share

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New-Generation Design-Technology Co-Optimization (DTCO): Machine-Learning Assisted Modeling Framework

In this paper, we propose a machine-learning assisted modeling framework...
04/23/2019 ∙ by Zhe Zhang, et al. ∙ 0 ∙ share

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Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation

This paper presents a novel unsupervised domain adaptation framework, ca...
01/24/2019 ∙ by Cheng Chen, et al. ∙ 8 ∙ share

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PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation

Deep convolutional networks have demonstrated the state-of-the-art perfo...
12/19/2018 ∙ by Qi Dou, et al. ∙ 8 ∙ share

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A Multi-Agent Reinforcement Learning Method for Impression Allocation in Online Display Advertising

In online display advertising, guaranteed contracts and real-time biddin...
09/10/2018 ∙ by Di Wu, et al. ∙ 0 ∙ share

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Sourcerer's Apprentice and the study of code snippet migration

On the worldwide web, not only are webpages connected but source code is...
07/31/2018 ∙ by Stephen Romansky, et al. ∙ 0 ∙ share

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Regression with Functional Errors-in-Predictors: A Generalized Method-of-Moments Approach

Functional regression is an important topic in functional data analysis....
06/14/2018 ∙ by Xinghao Qiao, et al. ∙ 0 ∙ share

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Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation

In spite of the compelling achievements that deep neural networks (DNNs)...
06/02/2018 ∙ by Cheng Chen, et al. ∙ 0 ∙ share

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RPC Considered Harmful: Fast Distributed Deep Learning on RDMA

Deep learning emerges as an important new resource-intensive workload an...
05/22/2018 ∙ by Jilong Xue, et al. ∙ 0 ∙ share

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Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss

Convolutional networks (ConvNets) have achieved great successes in vario...
04/29/2018 ∙ by Qi Dou, et al. ∙ 0 ∙ share

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GARDENIA: A Domain-specific Benchmark Suite for Next-generation Accelerators

This paper presents the Graph Analytics Repository for Designing Next-ge...
08/15/2017 ∙ by Zhen Xu, et al. ∙ 0 ∙ share

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Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation

Matrix factorization has now become a dominant solution for personalized...
08/12/2017 ∙ by Zhenghua Xu, et al. ∙ 0 ∙ share

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A Novel Method to Study Bottom-up Visual Saliency and its Neural Mechanism

In this study, we propose a novel method to measure bottom-up saliency m...
04/13/2016 ∙ by Cheng Chen, et al. ∙ 0 ∙ share

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A Parallel algorithm for X-Armed bandits

The target of X-armed bandit problem is to find the global maximum of an...
10/26/2015 ∙ by Cheng Chen, et al. ∙ 0 ∙ share

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Cheng Chen

Featured Co-authors

Hao Chen

Ting Liu

Yang Zhang

Weinan Zhang

Pheng-Ann Heng

Yong Liu

Yi Zhou

Yong Yu

Ben Glocker

Yizhou Wang

Qi Dou

Neural Network Training Techniques Regularize Optimization Trajectory: An Empirical Study

Efficient Projection-Free Algorithms for Saddle Point Problems

Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning

FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding

Revisiting Co-Occurring Directions: Sharper Analysis and Efficient Algorithm for Sparse Matrices

An autocovariance-based learning framework for high-dimensional functional time series

Learning Directional Feature Maps for Cardiac MRI Segmentation

Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency

Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion

Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation

A Stochastic Proximal Point Algorithm for Saddle-Point Problems

Multi-Instance Multi-Scale CNN for Medical Image Classification

Millemeter-Wave Fixed Wireless Access Using IEEE 802.11ay

Physical Layer Performance Evaluation of Wireless Infrared-based LiFi Uplink

New-Generation Design-Technology Co-Optimization (DTCO): Machine-Learning Assisted Modeling Framework

Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation

PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation

A Multi-Agent Reinforcement Learning Method for Impression Allocation in Online Display Advertising

Sourcerer's Apprentice and the study of code snippet migration

Regression with Functional Errors-in-Predictors: A Generalized Method-of-Moments Approach

Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation

RPC Considered Harmful: Fast Distributed Deep Learning on RDMA

Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss

GARDENIA: A Domain-specific Benchmark Suite for Next-generation Accelerators

Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation

A Novel Method to Study Bottom-up Visual Saliency and its Neural Mechanism

A Parallel algorithm for X-Armed bandits