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Event-based Synthetic Aperture Imaging with a Hybrid Network
Synthetic aperture imaging (SAI) is able to achieve the see through effe...
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Uncoordinated Spectrum Sharing in Millimeter Wave Networks Using Carrier Sensing
We propose using Carrier Sensing (CS) for distributed interference manag...
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Learning Variable Impedance Control via Inverse Reinforcement Learning for Force-Related Tasks
Many manipulation tasks require robots to interact with unknown environm...
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Feedback-based Digital Higher-order Terminal Sliding Mode for 6-DOF Industrial Manipulators
The precise motion control of a multi-degree of freedom (DOF) robot mani...
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A New Design of Cache-aided Multiuser Private Information Retrieval with Uncoded Prefetching
In the problem of cache-aided multiuser private information retrieval (M...
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A Two-stream Neural Network for Pose-based Hand Gesture Recognition
Pose based hand gesture recognition has been widely studied in the recen...
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Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature Redundancy
Reducing feature redundancy has shown beneficial effects for improving t...
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A Non-cooperative Game-based Distributed Beam Scheduling for 5G mm-Wave Networks
This paper studies the problem of distributed beam scheduling for 5G mil...
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Learning to Drop: Robust Graph Neural Network via Topological Denoising
Graph Neural Networks (GNNs) have shown to be powerful tools for graph a...
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Attentive Social Recommendation: Towards User And Item Diversities
Social recommendation system is to predict unobserved user-item rating v...
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Parameterized Explainer for Graph Neural Network
Despite recent progress in Graph Neural Networks (GNNs), explaining pred...
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Multiscale Reduced-Order Modeling of a Titanium Skin Panel Subjected to Thermo-Mechanical Loading
This manuscript presents the formulation, implementation, calibration an...
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On the Fundamental Limits of Cache-aided Multiuser Private Information Retrieval
We consider the problem of cache-aided Multiuser Private Information Ret...
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Cache-aided Interference Management using Hypercube Combinatorial Cache Design with Reduced Subpacketizations and Order Optimal Sum-Degrees of Freedom
We consider a cache-aided interference network which consists of a libra...
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Automatic Image Labelling at Pixel Level
The performance of deep networks for semantic image segmentation largely...
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GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
Deep learning methods for graphs achieve remarkable performance on many ...
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Literature Triage on Genomic Variation Publications by Knowledge-enhanced Multi-channel CNN
Background: To investigate the correlation between genomic variation and...
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ProbaNet: Proposal-balanced Network for Object Detection
Candidate object proposals generated by object detectors based on convol...
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Unlocking the Power of Deep PICO Extraction: Step-wise Medical NER Identification
The PICO framework (Population, Intervention, Comparison, and Outcome) i...
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WiFE: WiFi and Vision based Intelligent Facial-Gesture Emotion Recognition
Emotion is an essential part of Artificial Intelligence (AI) and human m...
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Adversarial Imitation Attack
Deep learning models are known to be vulnerable to adversarial examples....
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Entity Profiling in Knowledge Graphs
Knowledge Graphs (KGs) are graph-structured knowledge bases storing fact...
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A Multi-view CNN-based Acoustic Classification System for Automatic Animal Species Identification
Automatic identification of animal species by their vocalization is an i...
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Graph Computing based Distributed State Estimation with PMUs
Power system state estimation plays a fundamental and critical role in t...
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Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection
Objective: Epilepsy is a chronic neurological disorder characterized by ...
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WiFi-based Real-time Breathing and Heart Rate Monitoring during Sleep
Good quality sleep is essential for good health and sleep monitoring bec...
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Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning
Deep learning algorithms have achieved excellent performance lately in a...
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Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals
Synthesizing geometrical shapes from human brain activities is an intere...
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BeSense: Leveraging WiFi Channel Data and Computational Intelligence for Behavior
The ever evolving informatics technology has gradually bounded human and...
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A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers
Brain-Computer Interface (BCI) bridges the human's neural world and the ...
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Adversarial Variational Embedding for Robust Semi-supervised Learning
Semi-supervised learning is sought for leveraging the unlabelled data wh...
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Cache-aided Interference Management Using Hypercube Combinatorial Cache Designs
We consider a cache-aided interference network which consists of a libra...
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A New Design Framework on Device-to-Device Coded Caching with Optimal Rate and Significantly Less Subpacketizations
In this paper, we propose a new design framework on Device-to-Device (D2...
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Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification
Aspect-level sentiment classification (ASC) aims at identifying sentimen...
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Adversarially-Trained Normalized Noisy-Feature Auto-Encoder for Text Generation
This article proposes Adversarially-Trained Normalized Noisy-Feature Aut...
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Software Expert Discovery via Knowledge Domain Embeddings in a Collaborative Network
Community Question Answering (CQA) websites can be claimed as the most m...
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Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding
Electroencephalography (EEG) signals are known to manifest differential ...
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Action Representations in Robotics: A Taxonomy and Systematic Classification
Understanding and defining the meaning of "action" is substantial for ro...
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Surface Light Field Compression using a Point Cloud Codec
Light field (LF) representations aim to provide photo-realistic, free-vi...
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Learning Movement Assessment Primitives for Force Interaction Skills
We present a novel, reusable and task-agnostic primitive for assessing t...
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Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity
A Brain-Computer Interface (BCI) acquires brain signals, analyzes and tr...
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Multi-modality Sensor Data Classification with Selective Attention
Multimodal wearable sensor data classification plays an important role i...
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A Novel Learnable Dictionary Encoding Layer for End-to-End Language Identification
A novel learnable dictionary encoding layer is proposed in this paper fo...
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Context-aware Human Intent Inference for Improving Human Machine Cooperation
The ability of human beings to precisely recog- nize others intents is a...
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Know Your Mind: Adaptive Brain Signal Classification with Reinforced Attentive Convolutional Neural Networks
Electroencephalography (EEG) signals reflect activities on certain brain...
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Byte-Level Recursive Convolutional Auto-Encoder for Text
This article proposes to auto-encode text at byte-level using convolutio...
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MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network
Person identification technology recognizes individuals by exploiting th...
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CrescendoNet: A Simple Deep Convolutional Neural Network with Ensemble Behavior
We introduce a new deep convolutional neural network, CrescendoNet, by s...
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Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis
An electroencephalography (EEG) based brain activity recognition is a fu...
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Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals
An electroencephalography (EEG) based Brain Computer Interface (BCI) ena...
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