Home      Discussions      About
Join us

@huawei.com

Jan 30, 2018
Probability
Information Theory

In the following, for n≥1 we define

Contribution of the Extreme Term in the Sum of Samples with Regularly…

For a sequence of random variables $(X_1, X_2, \ldots, X_n)$, $n \geq 1$, that are independent and identically distributed with a regularly varying t…
Jan 17, 2019
Information Theory

AI Coding: Learning to Construct Error Correction Codes

In this paper, we investigate an artificial-intelligence (AI) driven approach to design error correction codes (ECC). Classic error correction code w…
Aug 15, 2011
By yix
Information Theory

User Scheduling for Heterogeneous Multiuser MIMO Systems: A Subspace …

In downlink multiuser multiple-input multiple-output (MU-MIMO) systems, users are practically heterogeneous in nature. However, most of the existing …
Feb 08, 2018
Computer Vision

Practical Issues of Action-conditioned Next Image Prediction

The problem of action-conditioned image prediction is to predict the expected next frame given the current camera frame the robot observes and an act…
Nov 30, 2018
By bevans
Information Theory

Robust Learning-Based ML Detection for Massive MIMO Systems with One-…

In this paper, we investigate learning-based maximum likelihood (ML) detection for uplink massive multiple-input and multiple-output (MIMO) systems w…
Feb 22, 2018
Machine Learning
Information Retrieval

Federated Meta-Learning for Recommendation

Recommender systems have been widely studied from the machine learning perspective, where it is crucial to share information among users while preser…
May 13, 2019
Machine Learning
Artificial Intelligence

Distributional Reinforcement Learning for Efficient Exploration

In distributional reinforcement learning (RL), the estimated distribution of value function models both the parametric and intrinsic uncertainties. W…
Apr 05, 2018
Computer Vision

Learnable Exposure Fusion for Dynamic Scenes

In this paper, we focus on Exposure Fusion (EF) [ExposFusi2] for dynamic scenes. The task is to fuse multiple images obtained by exposure bracketing …
May 20, 2018
Networking and Internet Architecture

Joint Path Selection and Rate Allocation Framework for 5G Self-Back…

Owing to severe path loss and unreliable transmission over a long distance at higher frequency bands, we investigate the problem of path selection an…
Feb 07, 2013
By achanda
Networking and Internet Architecture

ContentFlow: Mapping Content to Flows in Software Defined Networks

Information-Centric Networks place content as the narrow waist of the network architecture. This allows to route based upon the content name, and not…
May 13, 2012
By qye
Information Theory

User Association for Load Balancing in Heterogeneous Cellular Networks

For small cell technology to significantly increase the capacity of tower-based cellular networks, mobile users will need to be actively pushed onto …
Jan 11, 2013
By zmzhong
Data Analysis
Statistics and Probability

Extension of ITU IMT-A Channel Models for Elevation Domains and Lin…

In this contribution, the 3-dimensional (3D) channel characteristics, particularly in the elevation domains, are extracted through measurements in ty…
Oct 17, 2016
Computation and Language

Interactive Attention for Neural Machine Translation

Conventional attention-based Neural Machine Translation (NMT) conducts dynamic alignment in generating the target sentence. By repeatedly reading the…
Feb 12, 2018
Machine Learning
Artificial Intelligence

In this section, we present a stochastic alternating maximisation algorithm analogous to the discrete version above. In  [Genevay et al., 2016], a stochastic optimisation algorithm is presented for computing Wasserstein distance between continuous d…

A note on reinforcement learning with Wasserstein distance regulari…

In this note we describe an application of Wasserstein distance to Reinforcement Learning. The Wasserstein distance in question is between the distri…
Jun 23, 2015
Information Theory
Probability

Apply Artificial Noise To Secure Fading Relay Networks: A SER-Based …

We apply the concept of artificial and controlled interference in a triangular relay network with an untrusted relay aiming at enhancing the wireless…
Apr 20, 2016
Information Theory

Performance Evaluation of User Scheduling for Full-Duplex Small Cells…

Full-duplex (FD) communication is an emerging technology that can potentially double the throughput of cellular networks. Preliminary studies in sing…
Apr 11, 2016
Networking and Internet Architecture
Information Theory

Joint In-Band Backhauling and Interference Mitigation in 5G Heterog…

In this paper, we study the problem of joint inband backhauling and interference mitigation in 5G heterogeneous networks (HetNets) in which a massive…
Dec 04, 2015
By jun.yin
Computation and Language

Neural Generative Question Answering

This paper presents an end-to-end neural network model, named Neural Generative Question Answering (GENQA), that can generate answers to simple facto…
Jun 19, 2019
By pan6
Machine Learning
Artificial Intelligence

Hill Climbing on Value Estimates for Search-control in Dyna

Dyna is an architecture for model-based reinforcement learning (RL), where simulated experience from a model is used to update policies or value func…
Nov 15, 2016
Information Theory

An Overview on Resource Allocation Techniques for Multi-User MIMO S…

Remarkable research activities and major advances have been occurred over the past decade in multiuser multiple-input multiple-output (MU-MIMO) syste…
There aren't more papers

Request Comment

or Invite via email
You are asking your first question!
How to quickly get a good answer:
  • Keep your question short and to the point
  • Check for grammar or spelling errors.
  • Phrase it like a question
Test
Test description