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10/09/2020
Local Region Knowledge Distillation
Knowledge distillation (KD) is an effective technique to transfer knowle...
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09/17/2020
Deep Collective Learning: Learning Optimal Inputs and Weights Jointly in Deep Neural Networks
It is well observed that in deep learning and computer vision literature...
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08/27/2020
GraphFederator: Federated Visual Analysis for Multi-party Graphs
This paper presents GraphFederator, a novel approach to construct joint ...
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06/15/2020
Self-supervised Learning: Generative or Contrastive
Deep supervised learning has achieved great success in the last decade. ...
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06/08/2020
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization
Single-objective black box optimization (also known as zeroth-order opti...
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06/04/2020
DASC: Towards A Road Damage-Aware Social-Media-Driven Car Sensing Framework for Disaster Response Applications
While vehicular sensor networks (VSNs) have earned the stature of a mobi...
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03/15/2020
RCNet: Incorporating Structural Information into Deep RNN for MIMO-OFDM Symbol Detection with Limited Training
In this paper, we investigate learning-based MIMO-OFDM symbol detection ...
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03/06/2020
Statistical Beamforming for FDD Downlink Massive MIMO via Spatial Information Extraction and Beam Selection
In this paper, we study the beamforming design problem in frequency-divi...
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01/05/2020
Undetectable Radios: Covert Communication under Spectral Mask Constraints
We consider the problem of covert communication over continuous-time add...
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12/19/2019
Matrix-Calibration-Based Cascaded Channel Estimation for Reconfigurable Intelligent Surface Assisted Multiuser MIMO
Reconfigurable intelligent surface (RIS) is envisioned to be an essentia...
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12/06/2019
Community Detection and Matrix Completion with Two-Sided Graph Side-Information
We consider the problem of recovering communities of users and communiti...
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11/20/2019
DR-KFD: A Differentiable Visual Metric for 3D Shape Reconstruction
We advocate the use of differential visual shape metrics to train deep n...
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11/16/2019
Regularized Weighted Low Rank Approximation
The classical low rank approximation problem is to find a rank k matrix ...
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11/14/2019
Gradientless Descent: High-Dimensional Zeroth-Order Optimization
Zeroth-order optimization is the process of minimizing an objective f(x)...
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11/12/2019
Data-Free Point Cloud Network for 3D Face Recognition
Point clouds-based Networks have achieved great attention in 3D object c...
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11/11/2019
GRuB: Gas-Efficient Blockchain Storage via Workload-Adaptive Data Replication
Modern Blockchains support the execution of user programs, called smart ...
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10/25/2019
Double-Sparsity Learning Based Channel-and-Signal Estimation in Massive MIMO with Generalized Spatial Modulation
In this paper, we study joint antenna activity detection, channel estima...
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09/05/2019
McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds
A crucial assumption in most statistical learning theory is that samples...
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07/26/2019
Deep Reinforcement Learning for Personalized Search Story Recommendation
In recent years, search story, a combined display with other organic cha...
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07/18/2019
Artificial Intelligence-Enabled Cellular Networks: A Critical Path to Beyond-5G and 6G
Mobile Network Operators (MNOs) are in process of overlaying their conve...
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06/14/2019
Self-Tuning Sectorization: Deep Reinforcement Learning Meets Broadcast Beam Optimization
Beamforming in multiple input multiple output (MIMO) systems is one of t...
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05/18/2019
When Social Sensing Meets Edge Computing: Vision and Challenges
This paper overviews the state of the art, research challenges, and futu...
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05/15/2019
Synthetic Defocus and Look-Ahead Autofocus for Casual Videography
In cinema, large camera lenses create beautiful shallow depth of field (...
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03/12/2019
Proceedings of the Fifth International Conference on Cloud and Robotics (ICCR2018)
The 5th edition of the International Conference on Cloud and Robotics (I...
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01/23/2019
Enable Super-resolution Parameter Estimation for Mm-wave Channel Sounding
This paper investigates the capability of millimeter-wave (mmWave) chann...
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05/08/2018
Multipath Stealth Communication with Jammers
We consider the problem of stealth communication over a multipath networ...
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04/19/2018
GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning
A key problem in deep multi-attribute learning is to effectively discove...
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04/16/2018
BigDL: A Distributed Deep Learning Framework for Big Data
In this paper, we present BigDL, a distributed deep learning framework f...
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03/16/2018
Load Balancing for 5G Ultra-Dense Networks using Device-to-Device Communications
Load balancing is an effective approach to address the spatial-temporal ...
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02/11/2018
Analyzing and Mitigating the Impact of Permanent Faults on a Systolic Array Based Neural Network Accelerator
Due to their growing popularity and computational cost, deep neural netw...
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12/26/2017
Zero-Shot Learning via Latent Space Encoding
Zero-Shot Learning (ZSL) is typically achieved by resorting to a class s...
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10/05/2017
Machine Learning Based Detection of Clickbait Posts in Social Media
Clickbait (headlines) make use of misleading titles that hide critical i...
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08/26/2016
