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10/16/2019
A Causal Perspective to Unbiased Conversion Rate Estimation on Data Missing Not at Random
In modern e-commerce and advertising recommender systems, ongoing resear...
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08/03/2019
Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction
Midterm stock price prediction is crucial for value investments in the s...
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06/24/2019
Multi-Agent Deep Reinforcement Learning for Liquidation Strategy Analysis
Liquidation is the process of selling a large number of shares of one st...
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06/12/2019
Deep Reinforcement Learning for Unmanned Aerial Vehicle-Assisted Vehicular Networks
Unmanned aerial vehicles (UAVs) are envisioned to complement the 5G comm...
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06/12/2019
Deep Reinforcement Learning for Unmanned Aerial Vehicle-Assisted Vehicular Networks in Smart Cities
Unmanned aerial vehicles (UAVs) are envisioned to complement the 5G comm...
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01/28/2019
TGAN: Deep Tensor Generative Adversarial Nets for Large Image Generation
Deep generative models have been successfully applied to many applicatio...
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12/03/2018
Deep Reinforcement Learning for Intelligent Transportation Systems
Intelligent Transportation Systems (ITSs) are envisioned to play a criti...
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11/19/2018
Practical Deep Reinforcement Learning Approach for Stock Trading
Stock trading strategy plays a crucial role in investment companies. How...
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11/18/2018
Transform-Based Multilinear Dynamical System for Tensor Time Series Analysis
We propose a novel multilinear dynamical system (MLDS) in a transform do...
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02/13/2018
Information Scaling Law of Deep Neural Networks
With the rapid development of Deep Neural Networks (DNNs), various netwo...
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12/27/2017
An Online Ride-Sharing Path Planning Strategy for Public Vehicle Systems
As efficient traffic-management platforms, public vehicle (PV) systems a...
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12/13/2017
Multidimensional Data Tensor Sensing for RF Tomographic Imaging
Radio-frequency (RF) tomographic imaging is a promising technique for in...
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12/13/2017
Tensor Sensing for RF Tomographic Imaging
Radio-frequency (RF) tomographic imaging is a promising technique for in...
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11/07/2017
Tensor-Generative Adversarial Network with Two-dimensional Sparse Coding: Application to Real-time Indoor Localization
Localization technology is important for the development of indoor locat...
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10/23/2017
Tensor Matched Subspace Detection
The problem of testing whether an incomplete tensor lies in a given tens...
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05/03/2017
Fourth-order Tensors with Multidimensional Discrete Transforms
The big data era is swamping areas including data analysis, machine/deep...
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04/08/2017
3D seismic data denoising using two-dimensional sparse coding scheme
Seismic data denoising is vital to geophysical applications and the tran...
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04/08/2017
Exact 3D seismic data reconstruction using Tubal-Alt-Min algorithm
Data missing is an common issue in seismic data, and many methods have b...
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03/28/2017
Efficient Two-Dimensional Sparse Coding Using Tensor-Linear Combination
Sparse coding (SC) is an automatic feature extraction and selection tech...
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03/27/2017
Graph Regularized Tensor Sparse Coding for Image Representation
Sparse coding (SC) is an unsupervised learning scheme that has received ...
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08/10/2015