Yi Zhang

Deep Multi-Task Learning via Generalized Tensor Trace Norm

The trace norm is widely used in multi-task learning as it can discover ...
02/12/2020 ∙ by Yi Zhang, et al. ∙ 16 ∙ share

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Low-Dose CT via Deep CNN with Skip Connection and Network in Network

A major challenge in computed tomography (CT) is how to minimize patient...
11/26/2018 ∙ by Chenyu You, et al. ∙ 8 ∙ share

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RSA: Randomized Simulation as Augmentation for Robust Human Action Recognition

Despite the rapid growth in datasets for video activity, stable robust a...
12/03/2019 ∙ by Yi Zhang, et al. ∙ 8 ∙ share

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Identity Preserve Transform: Understand What Activity Classification Models Have Learnt

Activity classification has observed great success recently. The perform...
12/13/2019 ∙ by Jialing Lyu, et al. ∙ 7 ∙ share

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Deep Unfolded Robust PCA with Application to Clutter Suppression in Ultrasound

Contrast enhanced ultrasound is a radiation-free imaging modality which ...
11/20/2018 ∙ by Oren Solomon, et al. ∙ 4 ∙ share

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Non-destructive three-dimensional measurement of hand vein based on self-supervised network

At present, supervised stereo methods based on deep neural network have ...
06/29/2019 ∙ by Xiaoyu Chen, et al. ∙ 4 ∙ share

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Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets

Mode connectivity is a surprising phenomenon in the loss landscape of de...
06/14/2019 ∙ by Rohith Kuditipudi, et al. ∙ 3 ∙ share

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Multi-scale Template Matching with Scalable Diversity Similarity in an Unconstrained Environment

We propose a novel multi-scale template matching method which is robust ...
07/02/2019 ∙ by Yi Zhang, et al. ∙ 2 ∙ share

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Calibration, Entropy Rates, and Memory in Language Models

Building accurate language models that capture meaningful long-term depe...
06/11/2019 ∙ by Mark Braverman, et al. ∙ 1 ∙ share

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Many could be better than all: A novel instance-oriented algorithm for Multi-modal Multi-label problem

With the emergence of diverse data collection techniques, objects in rea...
07/27/2019 ∙ by Yi Zhang, et al. ∙ 1 ∙ share

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Theoretical limitations of Encoder-Decoder GAN architectures

Encoder-decoder GANs architectures (e.g., BiGAN and ALI) seek to add an ...
11/07/2017 ∙ by Sanjeev Arora, et al. ∙ 0 ∙ share

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Not-So-Random Features

We propose a principled method for kernel learning, which relies on a Fo...
10/27/2017 ∙ by Brian Bullins, et al. ∙ 0 ∙ share

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Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)

Given the potential X-ray radiation risk to the patient, low-dose CT has...
02/01/2017 ∙ by Hu Chen, et al. ∙ 0 ∙ share

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Towards Understanding the Invertibility of Convolutional Neural Networks

Several recent works have empirically observed that Convolutional Neural...
05/24/2017 ∙ by Anna C. Gilbert, et al. ∙ 0 ∙ share

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Learned Experts' Assessment-based Reconstruction Network ("LEARN") for Sparse-data CT

Compressive sensing (CS) has proved effective for tomographic reconstruc...
07/30/2017 ∙ by Hu Chen, et al. ∙ 0 ∙ share

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Generalization and Equilibrium in Generative Adversarial Nets (GANs)

We show that training of generative adversarial network (GAN) may not ha...
03/02/2017 ∙ by Sanjeev Arora, et al. ∙ 0 ∙ share

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Effective face landmark localization via single deep network

In this paper, we propose a novel face alignment method using single dee...
02/09/2017 ∙ by Zongping Deng, et al. ∙ 0 ∙ share

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A Fusion Method Based on Decision Reliability Ratio for Finger Vein Verification

Finger vein verification has developed a lot since its first proposal, b...
12/17/2016 ∙ by Liao Ni, et al. ∙ 0 ∙ share

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UnrealStereo: A Synthetic Dataset for Analyzing Stereo Vision

Stereo algorithm is important for robotics applications, such as quadcop...
12/14/2016 ∙ by Yi Zhang, et al. ∙ 0 ∙ share

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Prediction of Manipulation Actions

Looking at a person's hands one often can tell what the person is going ...
10/03/2016 ∙ by Cornelia Fermuller, et al. ∙ 0 ∙ share

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Low-dose CT denoising with convolutional neural network

To reduce the potential radiation risk, low-dose CT has attracted much a...
10/02/2016 ∙ by Hu Chen, et al. ∙ 0 ∙ share

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Convolutional neural networks with low-rank regularization

Large CNNs have delivered impressive performance in various computer vis...
11/19/2015 ∙ by Cheng Tai, et al. ∙ 0 ∙ share

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Maximum Margin Output Coding

In this paper we study output coding for multi-label prediction. For a m...
06/27/2012 ∙ by Yi Zhang, et al. ∙ 0 ∙ share

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Identifying Restaurant Features via Sentiment Analysis on Yelp Reviews

Many people use Yelp to find a good restaurant. Nonetheless, with only a...
09/20/2017 ∙ by Boya Yu, et al. ∙ 0 ∙ share

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Non-orthogonal Multiple Access Assisted Multi-Region Geocast

This work proposes a novel location-based multi-group multicast framewor...
11/29/2017 ∙ by Yi Zhang, et al. ∙ 0 ∙ share

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Does Higher Order LSTM Have Better Accuracy in Chunking and Named Entity Recognition?

Current researches usually employ single order setting by default when d...
11/22/2017 ∙ by Yi Zhang, et al. ∙ 0 ∙ share

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Complex Structure Leads to Overfitting: A Structure Regularization Decoding Method for Natural Language Processing

Recent systems on structured prediction focus on increasing the level of...
11/25/2017 ∙ by Xu Sun, et al. ∙ 0 ∙ share

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ICFVR 2017: 3rd International Competition on Finger Vein Recognition

In recent years, finger vein recognition has become an important sub-fie...
01/04/2018 ∙ by Yi Zhang, et al. ∙ 0 ∙ share

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Contraction of Ore Ideals with Applications

Ore operators form a common algebraic abstraction of linear ordinary dif...
11/25/2015 ∙ by Yi Zhang, et al. ∙ 0 ∙ share

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A Chinese Dataset with Negative Full Forms for General Abbreviation Prediction

Abbreviation is a common phenomenon across languages, especially in Chin...
12/18/2017 ∙ by Yi Zhang, et al. ∙ 0 ∙ share

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Spectral Filtering for General Linear Dynamical Systems

We give a polynomial-time algorithm for learning latent-state linear dyn...
02/12/2018 ∙ by Elad Hazan, et al. ∙ 0 ∙ share

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Desingularization in the q-Weyl algebra

In this paper, we study the desingularization problem in the first q-Wey...
01/12/2018 ∙ by Christoph Koutschan, et al. ∙ 0 ∙ share

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Stronger generalization bounds for deep nets via a compression approach

Deep nets generalize well despite having more parameters than the number...
02/14/2018 ∙ by Sanjeev Arora, et al. ∙ 0 ∙ share

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3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network

Low-dose computed tomography (CT) has attracted a major attention in the...
02/15/2018 ∙ by Hongming Shan, et al. ∙ 0 ∙ share

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Traffic Flow Forecasting Using a Spatio-Temporal Bayesian Network Predictor

A novel predictor for traffic flow forecasting, namely spatio-temporal B...
12/24/2017 ∙ by Shiliang Sun, et al. ∙ 0 ∙ share

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Joint DOA and Delay Estimation for 3D Indoor Localization in Next Generation WiFi and 5G

This paper address the joint direction-of-arrival (DOA) and time delay (...
04/02/2018 ∙ by Fei Wen, et al. ∙ 0 ∙ share

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SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data

State-of-the-art techniques of artificial intelligence, in particular de...
04/01/2018 ∙ by Qi Chen, et al. ∙ 0 ∙ share

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Laurent Series Solutions of Algebraic Ordinary Differential Equations

This paper concerns Laurent series solutions of algebraic ordinary diffe...
09/13/2017 ∙ by N. Thieu Vo, et al. ∙ 0 ∙ share

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Structure-sensitive Multi-scale Deep Neural Network for Low-Dose CT Denoising

Computed tomography (CT) is a popular medical imaging modality in clinic...
05/02/2018 ∙ by Chenyu You, et al. ∙ 0 ∙ share

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Benefit of Joint DOA and Delay Estimation with Application to Indoor Localization in WiFi and 5G

Accurate indoor localization has long been a challenging problem due to ...
04/02/2018 ∙ by Fei Wen, et al. ∙ 0 ∙ share

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N2RPP: An Adversarial Network to Rebuild Plantar Pressure for ACLD Patients

Foot is a vital part of human, and lots of valuable information is embed...
05/08/2018 ∙ by Yi Zhang, et al. ∙ 0 ∙ share

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Impulsive Control for G-AIMD Dynamics with Relaxed and Hard Constraints

Motivated by various applications from Internet congestion control to po...
03/19/2018 ∙ by Konstantin Avrachenkov, et al. ∙ 0 ∙ share

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Regularizing Output Distribution of Abstractive Chinese Social Media Text Summarization for Improved Semantic Consistency

Abstractive text summarization is a highly difficult problem, and the se...
05/10/2018 ∙ by Bingzhen Wei, et al. ∙ 0 ∙ share

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STS Classification with Dual-stream CNN

The structured time series (STS) classification problem requires the mod...
05/20/2018 ∙ by Shuchen Weng, et al. ∙ 0 ∙ share

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The Case for Full-Matrix Adaptive Regularization

Adaptive regularization methods come in diagonal and full-matrix variant...
06/08/2018 ∙ by Naman Agarwal, et al. ∙ 0 ∙ share

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A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation

Narrative story generation is a challenging problem because it demands t...
08/21/2018 ∙ by Jingjing Xu, et al. ∙ 0 ∙ share

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CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE)

Computed tomography (CT) is a popular medical imaging modality for scree...
08/10/2018 ∙ by Chenyu You, et al. ∙ 0 ∙ share

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Denoising of 3-D Magnetic Resonance Images Using a Residual Encoder-Decoder Wasserstein Generative Adversarial Network

Structure-preserved denoising of 3-D magnetic resonance images (MRI) is ...
08/12/2018 ∙ by Maosong Ran, et al. ∙ 0 ∙ share

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Learning Sentiment Memories for Sentiment Modification without Parallel Data

The task of sentiment modification requires reversing the sentiment of t...
08/22/2018 ∙ by Yi Zhang, et al. ∙ 0 ∙ share

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Conversational Recommender System

A personalized conversational sales agent could have much commercial pot...
06/08/2018 ∙ by Yueming Sun, et al. ∙ 0 ∙ share

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Yi Zhang

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