Yi Ding

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TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion Recognition

In this paper, we propose TSception, a multi-scale convolutional neural ...
04/07/2021 ∙ by Yi Ding, et al. ∙ 14 ∙ share

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Augmentation Strategies for Learning with Noisy Labels

Imperfect labels are ubiquitous in real-world datasets. Several recent s...
03/03/2021 ∙ by Kento Nishi, et al. ∙ 0 ∙ share

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Multiple Instance Segmentation in Brachial Plexus Ultrasound Image Using BPMSegNet

The identification of nerve is difficult as structures of nerves are cha...
12/22/2020 ∙ by Yi Ding, et al. ∙ 0 ∙ share

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A Multi-View Dynamic Fusion Framework: How to Improve the Multimodal Brain Tumor Segmentation from Multi-Views?

When diagnosing the brain tumor, doctors usually make a diagnosis by obs...
12/21/2020 ∙ by Yi Ding, et al. ∙ 0 ∙ share

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DeepKeyGen: A Deep Learning-based Stream Cipher Generator for Medical Image Encryption and Decryption

The need for medical image encryption is increasingly pronounced, for ex...
12/21/2020 ∙ by Yi Ding, et al. ∙ 11 ∙ share

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Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing

Deep Neural Networks (DNNs) have achieved remarkable success in many com...
11/08/2020 ∙ by Mengran Liu, et al. ∙ 0 ∙ share

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Planimation

Planimation is a modular and extensible open source framework to visuali...
08/11/2020 ∙ by Gang Chen, et al. ∙ 18 ∙ share

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A polynomial-time algorithm for learning nonparametric causal graphs

We establish finite-sample guarantees for a polynomial-time algorithm fo...
06/22/2020 ∙ by Ming Gao, et al. ∙ 0 ∙ share

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DeepEDN: A Deep Learning-based Image Encryption and Decryption Network for Internet of Medical Things

Internet of Medical Things (IoMT) can connect many medical imaging equip...
04/12/2020 ∙ by Yi Ding, et al. ∙ 0 ∙ share

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TSception: A Deep Learning Framework for Emotion Detection Using EEG

In this paper, we propose a deep learning framework, TSception, for emot...
04/02/2020 ∙ by Yi Ding, et al. ∙ 0 ∙ share

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Minimax Crossover Designs

In crossover experiments, two broad types of treatment effects are typic...
08/09/2019 ∙ by Guillaume Basse, et al. ∙ 0 ∙ share

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Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning

Sepsis is the leading cause of mortality in the ICU. It is challenging t...
01/15/2019 ∙ by Xuefeng Peng, et al. ∙ 0 ∙ share

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Dynamical systems theory for causal inference with application to synthetic control methods

To estimate treatment effects in panel data, suitable control units need...
08/27/2018 ∙ by Yi Ding, et al. ∙ 0 ∙ share

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Evaluating Reinforcement Learning Algorithms in Observational Health Settings

Much attention has been devoted recently to the development of machine l...
05/31/2018 ∙ by Omer Gottesman, et al. ∙ 4 ∙ share

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RUN:Residual U-Net for Computer-Aided Detection of Pulmonary Nodules without Candidate Selection

The early detection and early diagnosis of lung cancer are crucial to im...
05/30/2018 ∙ by Tian Lan, et al. ∙ 0 ∙ share

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Multiresolution Kernel Approximation for Gaussian Process Regression

Gaussian process regression generally does not scale to beyond a few tho...
08/07/2017 ∙ by Yi Ding, et al. ∙ 0 ∙ share

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