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Reversible Watermarking in Deep Convolutional Neural Networks for Integrity Authentication
Deep convolutional neural networks have made outstanding contributions i...
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FocusNetv2: Imbalanced Large and Small Organ Segmentation with Adversarial Shape Constraint for Head and Neck CT Images
Radiotherapy is a treatment where radiation is used to eliminate cancer ...
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Deep Model Intellectual Property Protection via Deep Watermarking
Despite the tremendous success, deep neural networks are exposed to seri...
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M6: A Chinese Multimodal Pretrainer
In this work, we construct the largest dataset for multimodal pretrainin...
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Spatio-Temporal Multi-step Prediction of Influenza Outbreaks
Flu circulates all over the world. The worldwide infection places a subs...
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Dynamic Virtual Graph Significance Networks for Predicting Influenza
Graph-structured data and their related algorithms have attracted signif...
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Meta-Path-Free Representation Learning on Heterogeneous Networks
Real-world networks and knowledge graphs are usually heterogeneous netwo...
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BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions
Motivation: Exploring drug-protein interactions (DPIs) work as a pivotal...
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TGCN: Time Domain Graph Convolutional Network for Multiple Objects Tracking
Multiple object tracking is to give each object an id in the video. The ...
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Multiclass Spinal Cord Tumor Segmentation on MRI with Deep Learning
Spinal cord tumors lead to neurological morbidity and mortality. Being a...
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Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems
We present a novel deep reinforcement learning method to learn construct...
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Attributes Aware Face Generation with Generative Adversarial Networks
Recent studies have shown remarkable success in face image generations. ...
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Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction
Estimating post-click conversion rate (CVR) accurately is crucial in E-c...
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Whale: A Unified Distributed Training Framework
Data parallelism (DP) has been a common practice to speed up the trainin...
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Digital Twins: State of the Art Theory and Practice, Challenges, and Open Research Questions
Digital Twin was introduced over a decade ago, as an innovative all-enco...
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Passport-aware Normalization for Deep Model Protection
Despite tremendous success in many application scenarios, deep learning ...
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Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning
Priority dispatching rule (PDR) is widely used for solving real-world Jo...
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On Offline Evaluation of Recommender Systems
In academic research, recommender models are often evaluated offline on ...
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Privacy-Preserving Machine Learning Training in Aggregation Scenarios
To develop Smart City, the growing popularity of Machine Learning (ML) t...
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Cascaded Semantic and Positional Self-Attention Network for Document Classification
Transformers have shown great success in learning representations for la...
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Low-Rank Reorganization via Proportional Hazards Non-negative Matrix Factorization Unveils Survival Associated Gene Clusters
One of the central goals of precision health is the understanding and in...
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FrUITeR: A Framework for Evaluating UI Test Reuse
UI testing is tedious and time-consuming due to the manual effort requir...
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Attentive Fusion Enhanced Audio-Visual Encoding for Transformer Based Robust Speech Recognition
Audio-visual information fusion enables a performance improvement in spe...
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Wireless Performance Evaluation of Building Layouts: Closed-Form Computation of Figures of Merit
This paper presents a part of our ground-breaking work on evaluation of ...
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Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification
Graph neural networks are promising architecture for learning and infere...
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Federated Mutual Learning
Federated learning enables collaboratively training machine learning mod...
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ZnG: Architecting GPU Multi-Processors with New Flash for Scalable Data Analysis
We propose ZnG, a new GPU-SSD integrated architecture, which can maximiz...
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FastDrain: Removing Page Victimization Overheads in NVMe Storage Stack
Host-side page victimizations can easily overflow the SSD internal buffe...
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Adaptive Sampling to Reduce Disparate Performance
Existing methods for reducing disparate performance of a classifier acro...
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A Re-visit of the Popularity Baseline in Recommender Systems
Popularity is often included in experimental evaluation to provide a ref...
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Graph Random Neural Network
Graph neural networks (GNNs) have generalized deep learning methods into...
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A Convolutional Neural Network with Parallel Multi-Scale Spatial Pooling to Detect Temporal Changes in SAR Images
In synthetic aperture radar (SAR) image change detection, it is quite ch...
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Benchmarking High Bandwidth Memory on FPGAs
FPGAs are starting to be enhanced with High Bandwidth Memory (HBM) as a ...
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Single-Side Domain Generalization for Face Anti-Spoofing
Existing domain generalization methods for face anti-spoofing endeavor t...
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Reconstructing normal section profiles of 3D revolving structures via pose-unconstrained multi-line structured-light vision
The wheel of the train is a 3D revolving geometrical structure. Reconstr...
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Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation
Image-level weakly supervised semantic segmentation is a challenging pro...
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STAN-CT: Standardizing CT Image using Generative Adversarial Network
Computed tomography (CT) plays an important role in lung malignancy diag...
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Application of Structural Similarity Analysis of Visually Salient Areas and Hierarchical Clustering in the Screening of Similar Wireless Capsule Endoscopic Images
Small intestinal capsule endoscopy is the mainstream method for inspecti...
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Model Watermarking for Image Processing Networks
Deep learning has achieved tremendous success in numerous industrial app...
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Bounded Incentives in Manipulating the Probabilistic Serial Rule
The Probabilistic Serial mechanism is well-known for its desirable fairn...
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Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems
Backtracking search algorithms are often used to solve the Constraint Sa...
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COBRA: Context-aware Bernoulli Neural Networks for Reputation Assessment
Trust and reputation management (TRM) plays an increasingly important ro...
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Faster than Flash: An In-Depth Study of System Challenges for Emerging Ultra-Low Latency SSDs
Emerging storage systems with new flash exhibit ultra-low latency (ULL) ...
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Learning Improvement Heuristics for Solving the Travelling Salesman Problem
Recent studies in using deep learning to solve the Travelling Salesman P...
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Which Channel to Ask My Question? Personalized Customer Service Request Stream Routing using Deep Reinforcement Learning
Customer services are critical to all companies, as they may directly co...
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Attentive Knowledge Graph Embedding for Personalized Recommendation
Knowledge graphs (KGs) have proven to be effective for highquality recom...
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Bilinear Constraint based ADMM for Mixed Poisson-Gaussian Noise Removal
In this paper, we propose new operator-splitting algorithms for the tota...
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Research Commentary on Recommendations with Side Information: A Survey and Research Directions
Recommender systems have become an essential tool to help resolve the in...
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Self-supervised Scale Equivariant Network for Weakly Supervised Semantic Segmentation
Weakly supervised semantic segmentation has attracted much research inte...
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Video Affective Effects Prediction with Multi-modal Fusion and Shot-Long Temporal Context
Predicting the emotional impact of videos using machine learning is a ch...
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