Yi Zhang

Fourth-Order Nonlocal Tensor Decomposition Model for Spectral Computed Tomography

Spectral computed tomography (CT) can reconstruct spectral images from d...
10/27/2020 ∙ by Xiang Chen, et al. ∙ 0 ∙ share

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CT Reconstruction with PDF: Parameter-Dependent Framework for Multiple Scanning Geometries and Dose Levels

Current mainstream of CT reconstruction methods based on deep learning u...
10/27/2020 ∙ by Wenjun Xia, et al. ∙ 0 ∙ share

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DeepWiPHY: Deep Learning-based Receiver Design and Dataset for IEEE 802.11ax Systems

In this work, we develop DeepWiPHY, a deep learning-based architecture t...
10/19/2020 ∙ by Yi Zhang, et al. ∙ 9 ∙ share

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Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets?

Convolutional neural networks often dominate fully-connected counterpart...
10/16/2020 ∙ by Zhiyuan Li, et al. ∙ 25 ∙ share

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Large Scale Product Graph Construction for Recommendation in E-commerce

Building a recommendation system that serves billions of users on daily ...
10/12/2020 ∙ by Xiaoyong Yang, et al. ∙ 0 ∙ share

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Reinforcement Learning on Computational Resource Allocation of Cloud-based Wireless Networks

Wireless networks used for Internet of Things (IoT) are expected to larg...
10/10/2020 ∙ by Beiran Chen, et al. ∙ 16 ∙ share

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Doubly Robust Covariate Shift Regression with Semi-nonparametric Nuisance Models

Importance weighting is naturally used to adjust for covariate shift. Ho...
10/06/2020 ∙ by Molei Liu, et al. ∙ 0 ∙ share

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Double/Debiased Machine Learning for Logistic Partially Linear Model

We propose double/debiased machine learning approaches to infer (at the ...
09/30/2020 ∙ by Molei Liu, et al. ∙ 0 ∙ share

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Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model

Dose reduction in computed tomography (CT) is essential for decreasing r...
09/27/2020 ∙ by Zhuonan He, et al. ∙ 21 ∙ share

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RESA: Recurrent Feature-Shift Aggregator for Lane Detection

Lane detection is one of the most important tasks in self-driving. Due t...
08/31/2020 ∙ by Tu Zheng, et al. ∙ 9 ∙ share

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On Loss Functions and Recurrency Training for GAN-based Speech Enhancement Systems

Recent work has shown that it is feasible to use generative adversarial ...
07/29/2020 ∙ by Zhuohuang Zhang, et al. ∙ 0 ∙ share

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Towards Accuracy-Fairness Paradox: Adversarial Example-based Data Augmentation for Visual Debiasing

Machine learning fairness concerns about the biases towards certain prot...
07/27/2020 ∙ by Yi Zhang, et al. ∙ 10 ∙ share

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Democratizing the Edge: A Pervasive Edge Computing Framework

The needs of emerging applications, such as augmented and virtual realit...
07/01/2020 ∙ by Reza Tourani, et al. ∙ 0 ∙ share

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Hyper RPCA: Joint Maximum Correntropy Criterion and Laplacian Scale Mixture Modeling On-the-Fly for Moving Object Detection

Moving object detection is critical for automated video analysis in many...
06/14/2020 ∙ by Zerui Shao, et al. ∙ 4 ∙ share

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Parallel Data Augmentation for Formality Style Transfer

The main barrier to progress in the task of Formality Style Transfer is ...
05/14/2020 ∙ by Yi Zhang, et al. ∙ 0 ∙ share

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Vehicle Re-Identification Based on Complementary Features

In this work, we present our solution to the vehicle re-identification (...
05/09/2020 ∙ by Cunyuan Gao, et al. ∙ 25 ∙ share

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Learning to Classify Intents and Slot Labels Given a Handful of Examples

Intent classification (IC) and slot filling (SF) are core components in ...
04/22/2020 ∙ by Jason Krone, et al. ∙ 0 ∙ share

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Topological Quantum Compiling with Reinforcement Learning

Quantum compiling, a process that decomposes the quantum algorithm into ...
04/09/2020 ∙ by Yuan-Hang Zhang, et al. ∙ 0 ∙ share

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Diversity, Density, and Homogeneity: Quantitative Characteristic Metrics for Text Collections

Summarizing data samples by quantitative measures has a long history, wi...
03/19/2020 ∙ by Yi-An Lai, et al. ∙ 0 ∙ share

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Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation

The ability to detect failures and anomalies are fundamental requirement...
03/18/2020 ∙ by Yingda Xia, et al. ∙ 6 ∙ share

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A Sample Complexity Separation between Non-Convex and Convex Meta-Learning

One popular trend in meta-learning is to learn from many training tasks ...
02/25/2020 ∙ by Nikunj Saunshi, et al. ∙ 12 ∙ share

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Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality

Adversarial training is a popular method to give neural nets robustness ...
02/16/2020 ∙ by Yi Zhang, et al. ∙ 11 ∙ share

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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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No-Regret Prediction in Marginally Stable Systems

We consider the problem of online prediction in a marginally stable line...
02/06/2020 ∙ by Udaya Ghai, et al. ∙ 0 ∙ share

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A Fixation-based 360° Benchmark Dataset for Salient Object Detection

Fixation prediction (FP) in panoramic contents has been widely investiga...
01/22/2020 ∙ by Yi Zhang, et al. ∙ 0 ∙ share

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Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization

Transfer learning has been demonstrated to be successful and essential i...
12/31/2019 ∙ by Yuntao Du, et al. ∙ 0 ∙ share

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A Bi-Level Cooperative Driving Strategy Allowing Lane Changes

This paper studies the cooperative driving of connected and automated ve...
12/24/2019 ∙ by Huile Xu, et al. ∙ 0 ∙ 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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Zero-shot Recognition of Complex Action Sequences

Zero-shot video classification for fine-grained activity recognition has...
12/08/2019 ∙ by Jonathan D. Jones, et al. ∙ 0 ∙ 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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On sequences associated to the invariant theory of rank two simple Lie algebras

We study two families of sequences, listed in the On-Line Encyclopedia o...
11/23/2019 ∙ by Alin Bostan, et al. ∙ 0 ∙ share

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Robust Likelihood Ratio Tests for Incomplete Economic Models

This study develops a framework for testing hypotheses on structural par...
10/10/2019 ∙ by Hiroaki Kaido, et al. ∙ 0 ∙ share

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Robust Estimation and Shrinkage in Ultrahigh Dimensional Expectile Regression with Heavy Tails and Variance Heterogeneity

High-dimensional data subject to heavy-tailed phenomena and heterogeneit...
09/20/2019 ∙ by Jun Zhao, et al. ∙ 0 ∙ share

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Goal-Embedded Dual Hierarchical Model for Task-Oriented Dialogue Generation

Hierarchical neural networks are often used to model inherent structures...
09/19/2019 ∙ by Yi-An Lai, et al. ∙ 0 ∙ share

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Sequence-to-sequence Pre-training with Data Augmentation for Sentence Rewriting

We study sequence-to-sequence (seq2seq) pre-training with data augmentat...
09/13/2019 ∙ by Yi Zhang, et al. ∙ 0 ∙ share

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Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data

Recently, high-dimensional heterogeneous data have attracted a lot of at...
08/18/2019 ∙ by Jun Zhao, et al. ∙ 0 ∙ share

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DELTA: A DEep learning based Language Technology plAtform

In this paper we present DELTA, a deep learning based language technolog...
08/02/2019 ∙ by Kun Han, et al. ∙ 0 ∙ 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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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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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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PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation

Chinese word segmentation (CWS) is a fundamental step of Chinese natural...
06/27/2019 ∙ by Ruixuan Luo, et al. ∙ 0 ∙ 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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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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Testing Scenario Library Generation for Connected and Automated Vehicles, Part II: Case Studies

Testing and evaluation is a critical step in the development and deploym...
05/09/2019 ∙ by Shuo Feng, et al. ∙ 0 ∙ share

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Testing Scenario Library Generation for Connected and Automated Vehicles, Part I: Methodology

Testing and evaluation is a critical step in the development and deploym...
05/09/2019 ∙ by Shuo Feng, et al. ∙ 0 ∙ share

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LTE Standard-Compliant D2D Communication: Software-defined Radio Implementation and Evaluation

In this paper, we describe the design and implementation of D2D communic...
04/29/2019 ∙ by Shekhar Jain, et al. ∙ 0 ∙ share

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A Right-of-Way Based Strategy to Implement Safe and Efficient Driving at Non-Signalized Intersections for Automated Vehicles

Non-signalized intersection is a typical and common scenario for connect...
04/22/2019 ∙ by Yadong Xing, et al. ∙ 0 ∙ share

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Personalized Context-aware Re-ranking for E-commerce Recommender Systems

Ranking is a core task in E-commerce recommender systems, which aims at ...
04/15/2019 ∙ by Changhua Pei, et al. ∙ 0 ∙ share

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Computation of the Expected Euler Characteristic for the Largest Eigenvalue of a Real Non-central Wishart Matrix

We give an approximate formula for the distribution of the largest eigen...
03/25/2019 ∙ by Nobuki Takayama, et al. ∙ 0 ∙ share

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Computations of the Expected Euler Characteristic for the Largest Eigenvalue of a Real Wishart Matrix

We give an approximate formula of the distribution of the largest eigenv...
03/25/2019 ∙ by Nobuki Takayama, et al. ∙ 0 ∙ share

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Yi Zhang

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