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04/06/2021
Shapley Explanation Networks
Shapley values have become one of the most popular feature attribution e...
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03/25/2021
EfficientTDNN: Efficient Architecture Search for Speaker Recognition in the Wild
Speaker recognition refers to audio biometrics that utilizes acoustic ch...
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03/03/2021
Dynamic Offloading Design in Time-Varying Mobile Edge Networks with Deep Reinforcement Learning Approach
Mobile edge computing (MEC) is regarded as a promising wireless access a...
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03/03/2021
QoS-Driven Resource Optimization for Intelligent Fog Radio Access Network: A Dynamic Power Allocation Perspective
The fog radio access network (Fog-RAN) has been considered a promising w...
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03/02/2021
Exploring Imitation Learning for Autonomous Driving with Feedback Synthesizer and Differentiable Rasterization
We present a learning-based planner that aims to robustly drive a vehicl...
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03/01/2021
Blockchain-Based Federated Learning in Mobile Edge Networks with Application in Internet of Vehicles
The rapid increase of the data scale in Internet of Vehicles (IoV) syste...
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03/01/2021
Joint Location and Communication Study for Intelligent Reflecting Surface Aided Wireless Communication System
Intelligent reflecting surface (IRS) is a novel burgeoning concept, whic...
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02/28/2021
Passive Beamforming Design and Channel Estimation for IRS Communication System with Few-Bit ADCs
Utilizing intelligent reflecting surface (IRS) was proven to be efficien...
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02/28/2021
Cache Placement Optimization in Mobile Edge Computing Networks with Unaware Environment – An Extended Multi-armed Bandit Approach
Caching high-frequency reuse contents at the edge servers in the mobile ...
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02/20/2021
Meta-Learning Dynamics Forecasting Using Task Inference
Current deep learning models for dynamics forecasting struggle with gene...
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02/11/2021
Text Compression-aided Transformer Encoding
Text encoding is one of the most important steps in Natural Language Pro...
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02/08/2021
LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search
Text to speech (TTS) has been broadly used to synthesize natural and int...
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02/05/2021
Reconfigurable Intelligent Surface Assisted Edge Machine Learning
The ever-growing popularity and rapid improving of artificial intelligen...
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02/01/2021
Tight Integration of Feature-Based Relocalization in Monocular Direct Visual Odometry
In this paper we propose a framework for integrating map-based relocaliz...
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01/28/2021
Uniform Object Rearrangement: From Complete Monotone Primitives to Efficient Non-Monotone Informed Search
Object rearrangement is a widely-applicable and challenging task for rob...
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01/28/2021
Edge Federated Learning Via Unit-Modulus Over-The-Air Computation (Extended Version)
Edge federated learning (FL) is an emerging machine learning paradigm th...
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01/16/2021
To Understand Representation of Layer-aware Sequence Encoders as Multi-order-graph
In this paper, we propose a unified explanation of representation for la...
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01/14/2021
Unsupervised heart abnormality detection based on phonocardiogram analysis with Beta Variational Auto-Encoders
Heart Sound (also known as phonocardiogram (PCG)) analysis is a popular ...
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01/08/2021
Color Contrast Enhanced Rendering for Optical See-through Head-mounted Displays
Most commercially available optical see-through head-mounted displays (O...
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12/30/2020
Accurate Word Representations with Universal Visual Guidance
Word representation is a fundamental component in neural language unders...
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12/28/2020
Asymptotic Achievability of the Cramér-Rao Lower Bound of Channel Estimation for Reconfigurable Intelligent Surface Assisted Communication System
To achieve the joint active and passive beamforming gains in the reconfi...
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12/27/2020
SG-Net: Syntax Guided Transformer for Language Representation
Understanding human language is one of the key themes of artificial inte...
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12/26/2020
Online Distributed Job Dispatching with Outdated and Partially-Observable Information
In this paper, we investigate online distributed job dispatching in an e...
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12/25/2020
Reconfigurable Intelligent Surface Assisted Mobile Edge Computing with Heterogeneous Learning Tasks
The ever-growing popularity and rapid improving of artificial intelligen...
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12/11/2020
Deep Deterministic Policy Gradient for Relay Selection and Power Allocation in Cooperative Communication Network
Cooperative communication is an effective approach to improve spectrum u...
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11/25/2020
Distributed Additive Encryption and Quantization for Privacy Preserving Federated Deep Learning
Homomorphic encryption is a very useful gradient protection technique us...
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11/24/2020
SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud based Place Recognition
We tackle the problem of place recognition from point cloud data and int...
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11/20/2020
Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems
How can we learn a dynamical system to make forecasts, when some variabl...
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11/10/2020
Dynamic Relay Selection and Power Allocation for Minimizing Outage Probability: A Hierarchical Reinforcement Learning Approach
Cooperative communication is an effective approach to improve spectrum u...
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11/07/2020
Deep Reinforcement Learning Based Dynamic Power and Beamforming Design for Time-Varying Wireless Downlink Interference Channel
With the high development of wireless communication techniques, it is wi...
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11/03/2020
Deep Reinforcement Learning Based Dynamic Route Planning for Minimizing Travel Time
Route planning is important in transportation. Existing works focus on f...
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10/29/2020
Learning Centric Wireless Resource Allocation for Edge Computing: Algorithm and Experiment
Edge intelligence is an emerging network architecture that integrates se...
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10/16/2020
Tongji University Team for the VoxCeleb Speaker Recognition Challenge 2020
In this report, we describe the submission of Tongji University team to ...
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10/11/2020
SJTU-NICT's Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task
In this paper, we introduced our joint team SJTU-NICT 's participation i...
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10/09/2020
High-order Semantic Role Labeling
Semantic role labeling is primarily used to identify predicates, argumen...
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10/09/2020
An Overview on Multiway Relay Communications: Fundamental Issues, Recent Advances, and New Challenges
To address the coverage and capacity challenges in fifth-generation (5G)...
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10/08/2020
A novel control mode of bionic morphing tail based on deep reinforcement learning
In the field of fixed wing aircraft, many morphing technologies have bee...
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09/29/2020
Neural Topic Modeling by Incorporating Document Relationship Graph
Graph Neural Networks (GNNs) that capture the relationships between grap...
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09/29/2020
Neural Topic Modeling with Cycle-Consistent Adversarial Training
Advances on deep generative models have attracted significant research i...
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09/16/2020
Graph-to-Sequence Neural Machine Translation
Neural machine translation (NMT) usually works in a seq2seq learning way...
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09/16/2020
Reconfigurable Intelligent Surface Aided Wireless Localization
The advantages of millimeter-wave and large antenna arrays technologies ...
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09/14/2020
4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving
We present a novel dataset covering seasonal and challenging perceptual ...
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08/20/2020
Cooperative Multi-Point Vehicular Positioning Using Millimeter-Wave Surface Reflection (Extended version)
Multi-point vehicular positioning is one essential operation for autonom...
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08/13/2020
What leads to generalization of object proposals?
Object proposal generation is often the first step in many detection mod...
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08/11/2020
Safe and Effective Picking Paths in Clutter given Discrete Distributions of Object Poses
Picking an item in the presence of other objects can be challenging as i...
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07/31/2020
Long-term continuous assessment of SRAM PUF and source of random numbers
The qualities of Physical Unclonable Functions (PUFs) suffer from severa...
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07/21/2020
Learning Centric Power Allocation for Edge Intelligence
While machine-type communication (MTC) devices generate massive data, th...
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07/17/2020
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization
For relocalization in large-scale point clouds, we propose the first app...
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07/09/2020
Neural Architecture Search with GBDT
Neural architecture search (NAS) with an accuracy predictor that predict...
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06/30/2020