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Summarizing Unstructured Logs in Online Services
Logs are one of the most valuable data sources for managing large-scale ...
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Understanding the Behaviour of Contrastive Loss
Unsupervised contrastive learning has achieved outstanding success, whil...
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Exploiting Behavioral Consistence for Universal User Representation
User modeling is critical for developing personalized services in indust...
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An Augmented Regression Model for Tensors with Missing Values
Heterogeneous but complementary sources of data provide an unprecedented...
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Convolutional neural network based deep-learning architecture for intraprostatic tumour contouring on PSMA PET images in patients with primary prostate cancer
Accurate delineation of the intraprostatic gross tumour volume (GTV) is ...
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Optimized Amplify-and-Forward Relaying for Hierarchical Over-the-Air Computation
Over-the-air computation (AirComp) is an emerging wireless technique wit...
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Adversarial jamming attacks and defense strategies via adaptive deep reinforcement learning
As the applications of deep reinforcement learning (DRL) in wireless com...
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Real-Time Resource Allocation for Wireless Powered Multiuser Mobile Edge Computing With Energy and Task Causality
This paper considers a wireless powered multiuser mobile edge computing ...
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SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check
Chinese Spelling Check (CSC) is a task to detect and correct spelling er...
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An end-to-end CNN framework for polarimetric vision tasks based on polarization-parameter-constructing network
Pixel-wise operations between polarimetric images are important for proc...
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Joint Optimization of User Association, Subchannel Allocation, and Power Allocation in Multi-cell Multi-association OFDMA Heterogeneous Networks
Heterogeneous network is a novel network architecture proposed in Long-T...
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A Discriminative Learned CNN Embedding for Remote Sensing Image Scene Classification
In this work, a discriminatively learned CNN embedding is proposed for r...
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A Discriminative Learned CNN Embedding For Remote Senseing Image Scene Classification
In this work, a discriminatively learned CNN embedding is proposed for r...
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Joint Communication and Computation Optimization for Wireless Powered Mobile Edge Computing with D2D Offloading
This paper studies a wireless powered mobile edge computing (MEC) system...
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Separable Reversible Data Hiding Based on Integer Mapping and Multi-MSB Prediction for Encrypted 3D Mesh Models
Reversible data hiding in encrypted domain (RDH-ED) has received tremend...
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Optimal Energy Allocation and Task Offloading Policy for Wireless Powered Mobile Edge Computing Systems
This paper studies a wireless powered mobile edge computing (MEC) system...
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Optimal Resource Allocation for Wireless Powered Mobile Edge Computing with Dynamic Task Arrivals
This paper considers a wireless powered multiuser mobile edge computing ...
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Self-Attention Aligner: A Latency-Control End-to-End Model for ASR Using Self-Attention Network and Chunk-Hopping
Self-attention network, an attention-based feedforward neural network, h...
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An Empirical Evaluation On Vibrotactile Feedback For Wristband System
With the rapid development of mobile computing, wearable wrist-worn is b...
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Dual Ask-Answer Network for Machine Reading Comprehension
There are three modalities in the reading comprehension setting: questio...
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Cascaded Mutual Modulation for Visual Reasoning
Visual reasoning is a special visual question answering problem that is ...
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Wireless Powered User Cooperative Computation in Mobile Edge Computing Systems
This paper studies a wireless powered mobile edge computing (MEC) system...
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Social-Network-Assisted Worker Recruitment in Mobile Crowd Sensing
Worker recruitment is a crucial research problem in Mobile Crowd Sensing...
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HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing
Task allocation is a major challenge in Mobile Crowd Sensing (MCS). Whil...
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Cooperative Computation and Communication for Mobile Edge Computing
This paper proposes a novel user cooperation approach in both computatio...
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KRust: A Formal Executable Semantics of Rust
Rust is a new and promising high-level system programming language. It p...
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Unsupervised Neural Machine Translation with Weight Sharing
Unsupervised neural machine translation (NMT) is a recently proposed app...
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Precise Temporal Action Localization by Evolving Temporal Proposals
Locating actions in long untrimmed videos has been a challenging problem...
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A Subpixel Registration Algorithm for Low PSNR Images
This paper presents a fast algorithm for obtaining high-accuracy subpixe...
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On the Low-Complexity, Hardware-Friendly Tridiagonal Matrix Inversion for Correlated Massive MIMO Systems
In massive MIMO (M-MIMO) systems, one of the key challenges in the imple...
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Additive Margin Softmax for Face Verification
In this paper, we propose a conceptually simple and geometrically interp...
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Optimal Pricing of User-Initiated Data-Plan Sharing in a Roaming Market
A smartphone user's personal hotspot (pH) allows him to share cellular c...
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Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme
Joint extraction of entities and relations is an important task in infor...
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Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets
This paper proposes an approach for applying GANs to NMT. We build a con...
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Regularizing Face Verification Nets For Pain Intensity Regression
Limited labeled data are available for the research of estimating facial...
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Survey on the attention based RNN model and its applications in computer vision
The recurrent neural networks (RNN) can be used to solve the sequence to...
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