Yifan Hu

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Tencent

Political Posters Identification with Appearance-Text Fusion

In this paper, we propose a method that efficiently utilizes appearance ...
12/19/2020 ∙ by Xuan Qin, et al. ∙ 0 ∙ share

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Going Deeper With Directly-Trained Larger Spiking Neural Networks

Spiking neural networks (SNNs) are promising in a bio-plausible coding f...
10/29/2020 ∙ by Hanle Zheng, et al. ∙ 0 ∙ share

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GFL: A Decentralized Federated Learning Framework Based On Blockchain

Due to people's emerging concern about data privacy, federated learning(...
10/21/2020 ∙ by Yifan Hu, et al. ∙ 0 ∙ share

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HABERTOR: An Efficient and Effective Deep Hatespeech Detector

We present our HABERTOR model for detecting hatespeech in large scale us...
10/17/2020 ∙ by Thanh Tran, et al. ∙ 0 ∙ share

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Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference

The neural attention mechanism plays an important role in many natural l...
09/20/2020 ∙ by Bang An, et al. ∙ 8 ∙ share

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Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations

In deep learning era, pretrained models play an important role in medica...
07/15/2020 ∙ by Hong-Yu Zhou, et al. ∙ 0 ∙ share

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Embedding Task Knowledge into 3D Neural Networks via Self-supervised Learning

Deep learning highly relies on the amount of annotated data. However, an...
06/10/2020 ∙ by Jiuwen Zhu, et al. ∙ 0 ∙ share

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Multi-Modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image Synthesis

Magnetic Resonance (MR) images of different modalities can provide compl...
05/02/2020 ∙ by Bingyu Xin, et al. ∙ 0 ∙ share

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Biased Stochastic Gradient Descent for Conditional Stochastic Optimization

Conditional Stochastic Optimization (CSO) covers a variety of applicatio...
02/25/2020 ∙ by Yifan Hu, et al. ∙ 13 ∙ share

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Large-scale Gender/Age Prediction of Tumblr Users

Tumblr, as a leading content provider and social media, attracts 371 mil...
01/02/2020 ∙ by Yao Zhan, et al. ∙ 3 ∙ share

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A Deep Structural Model for Analyzing Correlated Multivariate Time Series

Multivariate time series are routinely encountered in real-world applica...
01/02/2020 ∙ by Changwei Hu, et al. ∙ 0 ∙ share

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Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization

Spiking neural network is an important family of models to emulate the b...
11/03/2019 ∙ by Lei Deng, et al. ∙ 18 ∙ share

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Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube

Witnessed the development of deep learning, increasing number of studies...
10/05/2019 ∙ by Xinrui Zhuang, et al. ∙ 0 ∙ share

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A GLCM Embedded CNN Strategy for Computer-aided Diagnosis in Intracerebral Hemorrhage

Computer-aided diagnosis (CADx) systems have been shown to assist radiol...
06/05/2019 ∙ by Yifan Hu, et al. ∙ 0 ∙ share

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Sample Complexity of Sample Average Approximation for Conditional Stochastic Optimization

In this paper, we study a class of stochastic optimization problems, ref...
05/28/2019 ∙ by Yifan Hu, et al. ∙ 0 ∙ share

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Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Gliomas are the most common primary brain malignancies, with different d...
11/05/2018 ∙ by Spyridon Bakas, et al. ∙ 0 ∙ share

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Nationality Classification Using Name Embeddings

Nationality identification unlocks important demographic information, wi...
08/25/2017 ∙ by Junting Ye, et al. ∙ 0 ∙ share

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Yifan Hu

Featured Co-authors

Dacheng Tao

Wei Chen

Chang Liu

Qian Wang

Yu Sun

Kurt Keutzer

Kun Zhang

Xin Chen

Changyou Chen

Haibin Ling

Peng Li

Political Posters Identification with Appearance-Text Fusion

Going Deeper With Directly-Trained Larger Spiking Neural Networks

GFL: A Decentralized Federated Learning Framework Based On Blockchain

HABERTOR: An Efficient and Effective Deep Hatespeech Detector

Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference

Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations

Embedding Task Knowledge into 3D Neural Networks via Self-supervised Learning

Multi-Modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image Synthesis

Biased Stochastic Gradient Descent for Conditional Stochastic Optimization

Large-scale Gender/Age Prediction of Tumblr Users

A Deep Structural Model for Analyzing Correlated Multivariate Time Series

Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization

Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube

A GLCM Embedded CNN Strategy for Computer-aided Diagnosis in Intracerebral Hemorrhage

Sample Complexity of Sample Average Approximation for Conditional Stochastic Optimization

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Nationality Classification Using Name Embeddings