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May 15, 2018
Computation and Language

Simplifying Sentences with Sequence to Sequence Models

We simplify sentences with an attentive neural network sequence to sequence model, dubbed S4. The model includes a novel word-copy mechanism and loss…
Nov 30, 2015
Mesoscale and Nanoscale Physics

Generalized non-equilibrium vertex correction method in coherent medi…

In realistic nanoelectronics, disordered impurities/defects are inevitable and play important roles in electron transport. However, due to the lack o…
Nov 08, 2018
Information Theory

Structured Turbo Compressed Sensing for Downlink Massive MIMO-OFDM …

Compressed sensing has been employed to reduce the pilot overhead for channel estimation in wireless communication systems. Particularly, structured …
Oct 12, 2018
Machine Learning

An Algebraic-Geometric Approach to Shuffled Linear Regression

Shuffled linear regression is the problem of performing a linear regression fit to a dataset for which the correspondences between the independent sa…
Oct 07, 2018
Artificial Intelligence

A Minesweeper Solver Using Logic Inference, CSP and Sampling

Minesweeper as a puzzle video game and is proved that it is an NPC problem. We use CSP, Logic Inference and Sampling to make a minesweeper solver and…
Sep 18, 2018
Information Theory
Machine Learning

Nonconvex Demixing From Bilinear Measurements

We consider the problem of demixing a sequence of source signals from the sum of noisy bilinear measurements. It is a generalized mathematical model …
Aug 18, 2014
Information Theory

Turbo Compressed Sensing with Partial DFT Sensing Matrix

In this letter, we propose a turbo compressed sensing algorithm with partial discrete Fourier transform (DFT) sensing matrices. Interestingly, the st…
Mar 07, 2019
Computer Vision

Hair Segmentation on Time-of-Flight RGBD Images

Robust segmentation of hair from portrait images remains challenging: hair does not conform to a uniform shape, style or even color; dark hair in par…
Apr 20, 2018
Networking and Internet Architecture
Machine Learning

Learn and Pick Right Nodes to Offload

Task offloading is a promising technology to exploit the benefits of fog computing. An effective task offloading strategy is needed to utilize the co…
Mar 19, 2015
Information Theory

Compute-Compress-and-Forward: Exploiting Asymmetry of Wireless Relay …

Compute-and-forward (CF) harnesses interference in a wireless networkby allowing relays to compute combinations of source messages. The computed mess…
Jun 11, 2019
Computer Vision

Hybrid Function Sparse Representation towards Image Super Resolution

Sparse representation with training-based dictionary has been shown successful on super resolution(SR) but still have some limitations. Based on the …
Jun 27, 2019
Superconductivity

Doping evolution of the charge excitations and electron correlations …

Electron correlations play a dominant role in the charge dynamics of the cuprates. We use resonant inelastic x-ray scattering (RIXS) to track the dop…
Aug 02, 2017
Computer Vision

A Learning-based Framework for Hybrid Depth-from-Defocus and Stereo …

Depth from defocus (DfD) and stereo matching are two most studied passive depth sensing schemes. The techniques are essentially complementary: DfD ca…
Oct 19, 2016
Numerical Analysis

Interval Superposition Arithmetic

This paper is about a novel set based computing method, called interval superposition arithmetic, for enclosing the image set of multivariate factora…
Aug 02, 2017
Computation and Language

Combining Generative and Discriminative Approaches to Unsupervised …

Unsupervised dependency parsing aims to learn a dependency parser from unannotated sentences. Existing work focuses on either learning generative mod…
Jun 27, 2018
Machine Learning

Online optimal task offloading with one-bit feedback

Task offloading is an emerging technology in fog-enabled networks. It allows users transmit tasks to neighbor fog nodes so as to utilize the computin…
Feb 26, 2019
Computer Vision

Single-Image Piece-wise Planar 3D Reconstruction via Associative Em…

Single-image piece-wise planar 3D reconstruction aims to simultaneously segment plane instances and recover 3D plane parameters from an image. Most r…
Apr 15, 2019
Computer Vision

PIV-Based 3D Fluid Flow Reconstruction Using Light Field Camera

Particle Imaging Velocimetry (PIV) estimates the flow of fluid by analyzing the motion of injected particles. The problem is challenging as the parti…
Oct 09, 2019
Computer Vision
Machine Learning
Image and Video Processing

3D Manhattan Room Layout Reconstruction from a Single 360 Image

Recent approaches for predicting layouts from 360 panoramas produce excellent results. These approaches build on a common framework consisting of thr…
Mar 26, 2019
Computer Vision

Photo-Realistic Facial Details Synthesis from Single Image

We present a single-image 3D face synthesis technique that can handle challenging facial expressions while recovering fine geometric details. Our tec…
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