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Waveform and Beamforming Design for Intelligent Reflecting Surface Aided Wireless Power Transfer: Single-User and Multi-User Solutions
In this paper, we study the waveform and passive beamforming design for ...
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SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training
The record-breaking performance of deep neural networks (DNNs) comes wit...
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SDA: Improving Text Generation with Self Data Augmentation
Data augmentation has been widely used to improve deep neural networks i...
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FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
Recent breakthroughs in deep neural networks (DNNs) have fueled a tremen...
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Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks
Massive account registration has raised concerns on risk management in e...
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Intelligent Reflecting Surface-Aided SWIPT: Joint Waveform, Active and Passive Beamforming Design
The performance of Simultaneous Wireless Information and Power Transfer ...
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ReMP: Rectified Metric Propagation for Few-Shot Learning
Few-shot learning features the capability of generalizing from a few exa...
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Unpaired Image-to-Image Translation via Latent Energy Transport
Image-to-image translation aims to preserve source contents while transl...
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Deinterlacing Network for Early Interlaced Videos
With the rapid development of image restoration techniques, high-definit...
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xFraud: Explainable Fraud Transaction Detection on Heterogeneous Graphs
At online retail platforms, it is crucial to actively detect risks of fr...
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Deconstruct to Reconstruct a Configurable Evaluation Metric for Open-Domain Dialogue Systems
Many automatic evaluation metrics have been proposed to score the overal...
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Q-learning with Language Model for Edit-based Unsupervised Summarization
Unsupervised methods are promising for abstractive text summarization in...
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Dynamic Context Selection for Document-level Neural Machine Translation via Reinforcement Learning
Document-level neural machine translation has yielded attractive improve...
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FaultNet: A Deep Convolutional Neural Network for bearing fault classification
The increased presence of advanced sensors on the production floors has ...
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Industrial Experience of Finding Cryptographic Vulnerabilities in Large-scale Codebases
Enterprise environments need to screen large-scale (millions of lines of...
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Structure-Aware Human-Action Generation
Generating long-range skeleton-based human actions has been a challengin...
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Attacks to Federated Learning: Responsive Web User Interface to Recover Training Data from User Gradients
Local differential privacy (LDP) is an emerging privacy standard to prot...
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Responsive Web User Interface to Recover Training Data from User Gradients in Federated Learning
Local differential privacy (LDP) is an emerging privacy standard to prot...
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Blockchain-Based Differential Privacy Cost Management System
Privacy preservation is a big concern for various sectors. To protect in...
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SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation
We present SmartExchange, an algorithm-hardware co-design framework to t...
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TIMELY: Pushing Data Movements and Interfaces in PIM Accelerators Towards Local and in Time Domain
Resistive-random-access-memory (ReRAM) based processing-in-memory (R^2PI...
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Discretized Bottleneck in VAE: Posterior-Collapse-Free Sequence-to-Sequence Learning
Variational autoencoders (VAEs) are important tools in end-to-end repres...
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Local Differential Privacy based Federated Learning for Internet of Things
Internet of Vehicles (IoV) is a promising branch of the Internet of Thin...
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Feature Quantization Improves GAN Training
The instability in GAN training has been a long-standing problem despite...
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A New MRAM-based Process In-Memory Accelerator for Efficient Neural Network Training with Floating Point Precision
The excellent performance of modern deep neural networks (DNNs) comes at...
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DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures
The recent breakthroughs in deep neural networks (DNNs) have spurred a t...
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A Blockchain-Based Approach for Saving and Tracking Differential-Privacy Cost
An increasing amount of users' sensitive information is now being collec...
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Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences
In this paper, we consider a novel task, Spatio-Temporal Video Grounding...
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AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs
Recent breakthroughs in Deep Neural Networks (DNNs) have fueled a growin...
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Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions
Human-motion generation is a long-standing challenging task due to the r...
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Patchy Image Structure Classification Using Multi-Orientation Region Transform
Exterior contour and interior structure are both vital features for clas...
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A Survey of Blockchain Applications in Different Domains
Blockchains have received much attention recently since they provide dec...
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A Deep Gradient Boosting Network for Optic Disc and Cup Segmentation
Segmentation of optic disc (OD) and optic cup (OC) is critical in automa...
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E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving
Convolutional neural networks (CNNs) have been increasingly deployed to ...
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Deep High-Resolution Representation Learning for Visual Recognition
High-resolution representations are essential for position-sensitive vis...
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MobileFAN: Transferring Deep Hidden Representation for Face Alignment
Facial landmark detection is a crucial prerequisite for many face analys...
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Mobile Edge Computing, Blockchain and Reputation-based Crowdsourcing IoT Federated Learning: A Secure, Decentralized and Privacy-preserving System
Internet-of-Things (IoT) companies strive to get feedback from users to ...
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High-Resolution Representations for Labeling Pixels and Regions
High-resolution representation learning plays an essential role in many ...
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An Adapted Geographically Weighted Lasso(Ada-GWL) model for estimating metro ridership
Ridership estimation at station level plays a critical role in metro tra...
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Modeling and Analyzing Spatiotemporal Factors Influencing Metro Station Ridership in Taipei: An Approach based on General Estimating Equation
Modeling and analyzing metro station ridership is of great importance to...
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Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning
3D face reconstruction from a single 2D image is a challenging problem w...
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Synchronous Bidirectional Inference for Neural Sequence Generation
In sequence to sequence generation tasks (e.g. machine translation and a...
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Self-Adversarially Learned Bayesian Sampling
Scalable Bayesian sampling is playing an important role in modern machin...
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Variance Reduction in Stochastic Particle-Optimization Sampling
Stochastic particle-optimization sampling (SPOS) is a recently-developed...
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Phrase Table as Recommendation Memory for Neural Machine Translation
Neural Machine Translation (NMT) has drawn much attention due to its pro...
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Multispectral Image Intrinsic Decomposition via Low Rank Constraint
Multispectral images contain many clues of surface characteristics of th...
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Towards Neural Machine Translation with Partially Aligned Corpora
While neural machine translation (NMT) has become the new paradigm, the ...
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Automatic Spatially-aware Fashion Concept Discovery
This paper proposes an automatic spatially-aware concept discovery appro...
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A Conditional Variational Framework for Dialog Generation
Deep latent variable models have been shown to facilitate the response g...
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GUN: Gradual Upsampling Network for single image super-resolution
In this paper, we propose an efficient super-resolution (SR) method base...
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