
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...
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NASGEM: Neural Architecture Search via Graph Embedding Method
Neural Architecture Search (NAS) automates and prospers the design of ne...
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Double spike Dirichlet priors for structured weighting
Assigning weights to a large pool of objects is a fundamental task in a ...
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Functional Group Bridge for Simultaneous Regression and Support Estimation
There is a wide variety of applications where the unknown nonparametric ...
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Nonasymptotic Analysis in Kernel Ridge Regression
We develop a general nonasymptotic analysis of learning rates in kernel...
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Threebranch and Mutilscale learning for Finegrained Image Recognition (TBMSLNet)
ImageNet Large Scale Visual Recognition Challenge (ILSVRC) is one of the...
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SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks
Machine learning techniques have been widely applied in Internet compani...
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TimingCamouflage+: Netlist Security Enhancement with Unconventional Timing (with Appendix)
With recent advances in reverse engineering, attackers can reconstruct a...
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MultiVehicle Routing Problems with Soft Time Windows: A MultiAgent Reinforcement Learning Approach
Multivehicle routing problem with soft time windows (MVRPSTW) is an ind...
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Improving Efficiency in Neural Network Accelerator Using Operands Hamming Distance optimization
Neural network accelerator is a key enabler for the ondevice AI inferen...
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CoExploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks
Neural Architecture Search (NAS) has demonstrated its power on various A...
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On FunctiononScalar Quantile Regression
Existing work on functional response regression has focused predominantl...
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Bayesian Median Autoregression for Robust Time Series Forecasting
We develop a Bayesian median autoregressive (BayesMAR) model for time se...
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RecNMP: Accelerating Personalized Recommendation with NearMemory Processing
Personalized recommendation systems leverage deep learning models and ac...
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CARP: Compression through Adaptive Recursive Partitioning for Multidimensional Images
Fast and effective image compression for multidimensional images has be...
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PGUnet+: Progressive Growing of Unet+ for Automated Cervical Nuclei Segmentation
Automated cervical nucleus segmentation based on deep learning can effec...
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EnergyAware Neural Architecture Optimization with Fast Splitting Steepest Descent
Designing energyefficient networks is of critical importance for enabli...
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Scalable Double Regularization for 3D NanoCT Reconstruction
NanoCT (computerized tomography) has emerged as a nondestructive high...
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UncertaintyGuided Domain Alignment for Layer Segmentation in OCT Images
Automatic and accurate segmentation for retinal and choroidal layers of ...
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Deep InstanceLevel Hard Negative Mining Model for Histopathology Images
Histopathology image analysis can be considered as a Multiple instance l...
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Limits of Sums for Binomial and Eulerian Numbers and their Associated Distributions
We provide a unified, probabilistic approach using renewal theory to der...
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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 ...
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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...
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Streaming Algorithms for Planar Convex Hulls
Many classical algorithms are known for computing the convex hull of a s...
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FunctiononScalar Quantile Regression with Application to Mass Spectrometry Proteomics Data
Mass spectrometry proteomics, characterized by spiky, spatially heteroge...
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Computed Tomography Image Enhancement using 3D Convolutional Neural Network
Computed tomography (CT) is increasingly being used for cancer screening...
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Data Efficient Lithography Modeling with Transfer Learning and Active Data Selection
Lithography simulation is one of the key steps in physical verification,...
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Federated Learning with NonIID Data
Federated learning enables resourceconstrained edge compute devices, su...
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Reducing overclustering via the powered Chinese restaurant process
Dirichlet process mixture (DPM) models tend to produce many small cluste...
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Partition mixture of 1D wavelets for multidimensional data
Traditional statistical wavelet analysis that carries out modeling and i...
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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...
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Meng Li
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