
The NiuTrans EndtoEnd Speech Translation System for IWSLT 2021 Offline Task
This paper describes the submission of the NiuTrans endtoend speech tr...
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A new mathematical model for dispersion of Rayleigh wave and a machine learning based inversion solver
In this work, by introducing the seismic impedance tensor we propose a n...
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Conformal Anomaly Detection on SpatioTemporal Observations with Missing Data
We develop a distributionfree, unsupervised anomaly detection method ca...
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Stacked AcousticandTextual Encoding: Integrating the Pretrained Models into Speech Translation Encoders
Encoder pretraining is promising in endtoend Speech Translation (ST),...
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DPRCAE: Capsule Autoencoder with Dynamic Part Representation for Image Parsing
Parsing an image into a hierarchy of objects, parts, and relations is im...
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Stable Nonlinear and IQ Imbalance RF Fingerprint for Wireless OFDM Devices
An estimation method of Radio Frequency fingerprint (RFF) based on the p...
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Smart Scheduling based on Deep Reinforcement Learning for Cellular Networks
To improve the system performance towards the Shannon limit, advanced ra...
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Solar Radiation Anomaly Events Modeling Using SpatialTemporal Mutually Interactive Processes
Modeling and predicting solar events, in particular, the solar ramping e...
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HAVANA: Hierarchical and VariationNormalized Autoencoder for Person Reidentification
Person ReIdentification (ReID) is of great importance to the many vide...
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Dynamic Curriculum Learning for LowResource Neural Machine Translation
Large amounts of data has made neural machine translation (NMT) a big su...
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Conformal prediction interval for dynamic timeseries
We develop a method to build distributionfree prediction intervals in b...
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Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains
One approach to matching texts from asymmetrical domains is projecting t...
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MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles
The strong correlation between neurons or filters can significantly weak...
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Predictive Inference Is Free with the Jackknife+afterBootstrap
Ensemble learning is widely used in applications to make predictions in ...
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Multiplicative Noise Removal: Nonlocal LowRank Model and Its Proximal Alternating Reweighted Minimization Algorithm
The goal of this paper is to develop a novel numerical method for effici...
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SAIS: Singlestage Anchorfree Instance Segmentation
In this paper, we propose a simple yet efficientinstance segmentation ap...
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Bufferaware Wireless Scheduling based on Deep Reinforcement Learning
In this paper, the downlink packet scheduling problem for cellular netwo...
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Realistic Channel Models Pretraining
In this paper, we propose a neuralnetworkbased realistic channel model...
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Privileged Features Distillation for ECommerce Recommendations
Features play an important role in most prediction tasks of ecommerce r...
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Deep Reinforcement Learning for Scheduling in Cellular Networks
Integrating artificial intelligence (AI) into wireless networks has draw...
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PR Product: A Substitute for Inner Product in Neural Networks
In this paper, we analyze the inner product of weight vector and input v...
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Distributed Feature Screening via Componentwise Debiasing
Feature screening is a powerful tool in the analysis of high dimensional...
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Predicting the Mumble of Wireless Channel with SequencetoSequence Models
Accurate prediction of fading channel in future is essential to realize ...
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A FlipSyndromeList Polar Decoder Architecture for UltraLowLatency Communications
We consider practical hardware implementation of Polar decoders. To redu...
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Alternating Multibit Quantization for Recurrent Neural Networks
Recurrent neural networks have achieved excellent performance in many ap...
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On the Feasibility of Distributed Kernel Regression for Big Data
In modern scientific research, massive datasets with huge numbers of obs...
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Does generalization performance of l^q regularization learning depend on q? A negative example
l^qregularization has been demonstrated to be an attractive technique i...
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Chen Xu
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