
A Binary Regression Adaptive Goodnessoffit Test (BAGofT)
The Pearson's χ^2 test and residual deviance test are two classical good...
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Learning the Number of Autoregressive Mixtures in Time Series Using the Gap Statistics
Using a proper model to characterize a time series is crucial in making ...
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Bridging AIC and BIC: a new criterion for autoregression
We introduce a new criterion to determine the order of an autoregressive...
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DataDriven Learning of the Number of States in MultiState Autoregressive Models
In this work, we consider the class of multistate autoregressive proces...
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Evolutionary Spectra Based on the Multitaper Method with Application to Stationarity Test
In this work, we propose a new inference procedure for understanding non...
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Success Probability of GrantFree Random Access with Massive MIMO
Massive MIMO opens up new avenues for enabling highly efficient random a...
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Virtual Carrier Sensing Based Random Access in Massive MIMO Systems
The 5th generation mobile communication systems aim to support massive a...
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Multiple Preambles for High Success Rate of GrantFree Random Access with Massive MIMO
Grantfree random access (RA) with massive MIMO is a promising RA techni...
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Model Selection Techniques  An Overview
In the era of big data, analysts usually explore various statistical mod...
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Distributed Lossy Image Compression with Recurrent Networks
We propose a new architecture for distributed image compression from a g...
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Optimal Preamble Length for Spectral Efficiency in GrantFree RA with Massive MIMO
Grantfree random access (RA) with massive MIMO is a promising RA techni...
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Restricted Recurrent Neural Networks
Recurrent Neural Network (RNN) and its variations such as Long ShortTer...
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PerceptionDistortion Tradeoff with Restricted Boltzmann Machines
In this work, we introduce a new procedure for applying Restricted Boltz...
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Deep Clustering of Compressed Variational Embeddings
Motivated by the everincreasing demands for limited communication bandw...
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Variable Grouping Based Bayesian Additive Regression Tree
Using ensemble methods for regression has been a large success in obtain...
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Speech Emotion Recognition with DualSequence LSTM Architecture
Speech Emotion Recognition (SER) has emerged as a critical component of ...
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Multimodal Controller for Generative Models
Classconditional generative models are crucial tools for data generatio...
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StructurePreserving and Efficient Numerical Methods for Ion Transport
Ion transport, often described by the Poisson–Nernst–Planck (PNP) equati...
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Assisted Learning and Imitation Privacy
Motivated by the emerging needs of decentralized learners with personali...
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Meta Clustering for Collaborative Learning
An emerging number of learning scenarios involve a set of learners/analy...
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Model Linkage Selection for Cooperative Learning
Rapid developments in data collecting devices and computation platforms ...
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Jie Ding
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