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papers

Publications (63)

cond-mat.mtrl-sci2014

Tightly bound excitons in monolayer WSe2

Keliang He, Nardeep Kumar, Liang Zhao +4

cs.LG2019

Interpreting and Evaluating Neural Network Robustness

Fuxun Yu, Zhuwei Qin, Chenchen Liu +3

math.AP2019

Existence and convergence of solutions for nonlinear biharmonic equations on graphs

Xiaoli Han, Mengqiu Shao, Liang Zhao

The paper establishes Sobolev space tools on locally finite graphs and uses variational methods to prove existence of ground state solutions for a nonlinear biharmonic equation on…

Publications (63)

Tightly bound excitons in monolayer WSe2

Interpreting and Evaluating Neural Network Robustness

Existence and convergence of solutions for nonlinear biharmonic equations on graphs

Parallax Bundle Adjustment on Manifold with Convexified Initialization

Distributed Self-Paced Learning in Alternating Direction Method of Multipliers

Dynamic jamming of dense suspensions under tilted impact

MIS-SLAM: Real-time Large Scale Dense Deformable SLAM System in Minimal Invasive Surgery Based on Heterogeneous Computing

From spatio-temporal data to chronological networks: An application to wildfire analysis

Global existence of the harmonic map heat flow into Lorentzian manifolds

Analysis on Cohort Effects in view of Differential Geometry and its Applications

Ultrafast studies on the photophysics of matrix-isolated radical cations of polycyclic aromatic hydrocarbons: implications for the Diffuse Interstellar Bands (DIB) problem

Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank

A global weak solution to the Lorentzian harmonic map flow

Peer-to-Peer Cloud Provisioning: Service Discovery and Load-Balancing

A Statistical Study of the Average Iron Charge Distributions inside Magnetic Clouds for Solar Cycle 23

Occlusion Aware Unsupervised Learning of Optical Flow

A feasible roadmap for developing volumetric probability atlas of localized prostate cancer

EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System

Convergence of ground state solutions for nonlinear SchrÃ¶dinger equations on graphs

A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks

Latent Dirichlet Allocation (LDA) and Topic modeling: models, applications, a survey

A New Hybrid Consensus Protocol: Deterministic Proof Of Work

Linear SLAM: Linearising the SLAM Problems using Submap Joining

Water-phospholipid interactions at the interface of lipid membranes: comparison of different force fields

An Improved Speedup Factor for Sporadic Tasks with Constrained Deadlines under Dynamic Priority Scheduling

Numerically Safe Gaussian Elimination with No Pivoting

Spatial Neural Networks and their Functional Samples: Similarities and Differences

'Beating the news' with EMBERS: Forecasting Civil Unrest using Open Source Indicators

Front Velocity and Front Location of Lock-exchange Gravity Currents Descending a Slope in a Linearly Stratified Environment

Strongly enhanced charge-density-wave order in monolayer NbSe$_2$

Existence of solutions for a higher order Kirchhoff type problem with exponential critical growth

Toward Creating Subsurface Camera

Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design

Hydrodynamics of Lock-exchange Turbidity Currents down a Slope Based on Direct Numerical Simulation

Unsupervised Learning Layers for Video Analysis

Learning Good Representation via Continuous Attention

Network Unfolding Map by Edge Dynamics Modeling

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

Robust Regression via Online Feature Selection under Adversarial Data Corruption

Unsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency

CircConv: A Structured Convolution with Low Complexity

Pattern Recognition in a Ring of Delayed Phase Oscillators

On the Inclusion Relation of Reproducing Kernel Hilbert Spaces

Probing the spin-polarized electronic band structure in monolayer transition metal dichalcogenides by optical spectroscopy

Non-Bayesian Social Learning with Imperfect Private Signal Structure

WALL-E: An Efficient Reinforcement Learning Research Framework

Learning to Explore with Meta-Policy Gradient

Min-max level estimate for a singular quasilinear polyharmonic equation in $\mathbb{R}^{2m}$

Distributed Least-Squares Iterative Methods in Networks: A Survey

Time Series Clustering via Community Detection in Networks

The Origin of Solar Filament Plasma Inferred from in situ Observations of Elemental Abundances

Mortality cohort effect detection and measurement based on differential geometry

Source-Critical Reinforcement Learning for Transferring Spoken Language Understanding to a New Language

Online and Distributed Robust Regressions under Adversarial Data Corruption

Accelerated Approximation of the Complex Roots and Factors of a Univariate Polynomial

High Level Pattern Classification via Tourist Walks in Networks

Comparison of Two Solar Minima: Narrower Streamer Stalk Region and Conserved Open Magnetic Flux in the Region Outside of Streamer Stalk

Modeling of Breaching Due to Overtopping Flow and Waves Based on Coupled Flow and Sediment Transport

On the Universal Approximation Property and Equivalence of Stochastic Computing-based Neural Networks and Binary Neural Networks

Interpreting Adversarial Robustness: A View from Decision Surface in Input Space

An observable time series based SLAM algorithm for deforming environment

Deep Graph Translation

Real Polynomial Root-finding by Means of Matrix and Polynomial Iterations