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03/07/2023
Statistical inferences for complex dependence of multimodal imaging data
Statistical analysis of multimodal imaging data is a challenging task, s...
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09/11/2022
Exploiting Expert Knowledge for Assigning Firms to Industries: A Novel Deep Learning Method
Industry assignment, which assigns firms to industries according to a pr...
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07/19/2022
Efficient Embedding VNFs in 5G Network Slicing: A Deep Reinforcement Learning Approach
5G radio access network (RAN) slicing aims to logically split an infrast...
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04/02/2022
PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation
Pixel synthesis is a promising research paradigm for image generation, w...
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02/05/2022
Reinforcement learning for multi-item retrieval in the puzzle-based storage system
Nowadays, fast delivery services have created the need for high-density ...
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12/31/2021
Modelling matrix time series via a tensor CP-decomposition
We propose to model matrix time series based on a tensor CP-decompositio...
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10/15/2019
How to eliminate detour behaviors in E-hailing: On-line detection and Pricing regulation
With the fast development of information and communication technology (I...
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07/20/2019
NNS: The Case For Neural Network-based Sorting
CPU-SIMD/GPU/TPUs will be increasingly powerful. The algorithm using neu...
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06/30/2016
A Sequence-to-Sequence Model for User Simulation in Spoken Dialogue Systems
User simulation is essential for generating enough data to train a stati...
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06/11/2016
Natural Language Generation in Dialogue using Lexicalized and Delexicalized Data
Natural language generation plays a critical role in spoken dialogue sys...
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06/10/2016
Policy Networks with Two-Stage Training for Dialogue Systems
In this paper, we propose to use deep policy networks which are trained ...
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03/29/2016