
Gaussian graphical models with graph constraints for magnetic moment interaction in high entropy alloys
This article is motivated by studying the interaction of magnetic moment...
read it

Unconditional energy dissipation and error estimates of the SAV Fourier spectral method for nonlinear fractional generalized wave equation
In this paper, we consider a secondorder scalar auxiliary variable (SAV...
read it

The entire network structure of Crossmodal Transformer
Since the mapping relationship between definitized intrainterventional ...
read it

Improve Vision Transformers Training by Suppressing Oversmoothing
Introducing the transformer structure into computer vision tasks holds t...
read it

Semiparametric Bayesian Inference for Local Extrema of Functions in the Presence of Noise
There is a wide range of applications where the local extrema of a funct...
read it

PPA: Principal Parcellation Analysis for Brain Connectomes and Multiple Traits
Our understanding of the structure of the brain and its relationships wi...
read it

LongRunning Speech Recognizer:An EndtoEnd MultiTask Learning Framework for Online ASR and VAD
When we use Endtoend automatic speech recognition (E2EASR) system for...
read it

AlphaNet: Improved Training of Supernet with AlphaDivergence
Weightsharing neural architecture search (NAS) is an effective techniqu...
read it

CPT: Efficient Deep Neural Network Training via Cyclic Precision
Lowprecision deep neural network (DNN) training has gained tremendous a...
read it

Exploring wav2vec 2.0 on speaker verification and language identification
Wav2vec 2.0 is a recently proposed selfsupervised framework for speech ...
read it

ScaleNAS: OneShot Learning of ScaleAware Representations for Visual Recognition
Scale variance among different sizes of body parts and objects is a chal...
read it

Equivalence of Convergence Rates of Posterior Distributions and Bayes Estimators for Functions and Nonparametric Functionals
We study the posterior contraction rates of a Bayesian method with Gauss...
read it

KeepAugment: A Simple InformationPreserving Data Augmentation Approach
Data augmentation (DA) is an essential technique for training stateoft...
read it

AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling
Neural architecture search (NAS) has shown great promise designing state...
read it

An efficient secondorder energy stable BDF scheme for the space fractional CahnHilliard equation
The space fractional CahnHilliard phasefield model is more adequate an...
read it

DNA: Differentiable NetworkAccelerator CoSearch
Powerful yet complex deep neural networks (DNNs) have fueled a booming d...
read it

Towards HighPerformance SolidStateLiDARInertial Odometry and Mapping
We present a novel tightlycoupled LiDARinertial odometry and mapping s...
read it

Bayesian Inference for Stationary Points in Gaussian Process Regression Models for EventRelated Potentials Analysis
Stationary points embedded in the derivatives are often critical for a m...
read it

NASGEM: Neural Architecture Search via Graph Embedding Method
Neural Architecture Search (NAS) automates and prospers the design of ne...
read it

Double spike Dirichlet priors for structured weighting
Assigning weights to a large pool of objects is a fundamental task in a ...
read it

Functional Group Bridge for Simultaneous Regression and Support Estimation
There is a wide variety of applications where the unknown nonparametric ...
read it

Nonasymptotic Analysis in Kernel Ridge Regression
We develop a general nonasymptotic analysis of learning rates in kernel...
read it

Threebranch and Mutilscale learning for Finegrained Image Recognition (TBMSLNet)
ImageNet Large Scale Visual Recognition Challenge (ILSVRC) is one of the...
read it

SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks
Machine learning techniques have been widely applied in Internet compani...
read it

TimingCamouflage+: Netlist Security Enhancement with Unconventional Timing (with Appendix)
With recent advances in reverse engineering, attackers can reconstruct a...
read it

MultiVehicle Routing Problems with Soft Time Windows: A MultiAgent Reinforcement Learning Approach
Multivehicle routing problem with soft time windows (MVRPSTW) is an ind...
read it

Improving Efficiency in Neural Network Accelerator Using Operands Hamming Distance optimization
Neural network accelerator is a key enabler for the ondevice AI inferen...
read it

CoExploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks
Neural Architecture Search (NAS) has demonstrated its power on various A...
read it

On FunctiononScalar Quantile Regression
Existing work on functional response regression has focused predominantl...
read it

Bayesian Median Autoregression for Robust Time Series Forecasting
We develop a Bayesian median autoregressive (BayesMAR) model for time se...
read it

RecNMP: Accelerating Personalized Recommendation with NearMemory Processing
Personalized recommendation systems leverage deep learning models and ac...
read it

CARP: Compression through Adaptive Recursive Partitioning for Multidimensional Images
Fast and effective image compression for multidimensional images has be...
read it

PGUnet+: Progressive Growing of Unet+ for Automated Cervical Nuclei Segmentation
Automated cervical nucleus segmentation based on deep learning can effec...
read it

EnergyAware Neural Architecture Optimization with Fast Splitting Steepest Descent
Designing energyefficient networks is of critical importance for enabli...
read it

Scalable Double Regularization for 3D NanoCT Reconstruction
NanoCT (computerized tomography) has emerged as a nondestructive high...
read it

UncertaintyGuided Domain Alignment for Layer Segmentation in OCT Images
Automatic and accurate segmentation for retinal and choroidal layers of ...
read it

Deep InstanceLevel Hard Negative Mining Model for Histopathology Images
Histopathology image analysis can be considered as a Multiple instance l...
read it

Limits of Sums for Binomial and Eulerian Numbers and their Associated Distributions
We provide a unified, probabilistic approach using renewal theory to der...
read it

Automated segmentaiton and classification of arterioles and venules using Cascading Dilated Convolutional Neural Networks
The change of retinal vasculature is an early sign of many vascular and ...
read it

Multistep Speed Prediction on Traffic Networks: A Graph Convolutional SequencetoSequence Learning Approach with Attention Mechanism
Multistep traffic forecasting on road networks is a crucial task in succ...
read it

Streaming Algorithms for Planar Convex Hulls
Many classical algorithms are known for computing the convex hull of a s...
read it

FunctiononScalar Quantile Regression with Application to Mass Spectrometry Proteomics Data
Mass spectrometry proteomics, characterized by spiky, spatially heteroge...
read it

Computed Tomography Image Enhancement using 3D Convolutional Neural Network
Computed tomography (CT) is increasingly being used for cancer screening...
read it

Data Efficient Lithography Modeling with Transfer Learning and Active Data Selection
Lithography simulation is one of the key steps in physical verification,...
read it

Federated Learning with NonIID Data
Federated learning enables resourceconstrained edge compute devices, su...
read it

Reducing overclustering via the powered Chinese restaurant process
Dirichlet process mixture (DPM) models tend to produce many small cluste...
read it

Partition mixture of 1D wavelets for multidimensional data
Traditional statistical wavelet analysis that carries out modeling and i...
read it

Standardization of multivariate Gaussian mixture models and background adjustment of PET images in brain oncology
Given observations from a multivariate Gaussian mixture model plus outli...
read it
Meng Li
is this you? claim profile