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08/05/2023
Elucidate Gender Fairness in Singing Voice Transcription
It is widely known that males and females typically possess different so...
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07/19/2023
TimeTuner: Diagnosing Time Representations for Time-Series Forecasting with Counterfactual Explanations
Deep learning (DL) approaches are being increasingly used for time-serie...
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04/28/2023
Let the Chart Spark: Embedding Semantic Context into Chart with Text-to-Image Generative Model
Pictorial visualization seamlessly integrates data and semantic context ...
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04/24/2023
Deep Audio-Visual Singing Voice Transcription based on Self-Supervised Learning Models
Singing voice transcription converts recorded singing audio to musical n...
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04/17/2023
Everyone Can Be Picasso? A Computational Framework into the Myth of Human versus AI Painting
The recent advances of AI technology, particularly in AI-Generated Conte...
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04/14/2023
WYTIWYR: A User Intent-Aware Framework with Multi-modal Inputs for Visualization Retrieval
Retrieving charts from a large corpus is a fundamental task that can ben...
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03/23/2023
Keypoint-Guided Optimal Transport
Existing Optimal Transport (OT) methods mainly derive the optimal transp...
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04/05/2022
A novel spectral method for the subdiffusion equation
In this paper, we design and analyze a novel spectral method for the sub...
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04/03/2022
Graph Enhanced BERT for Query Understanding
Query understanding plays a key role in exploring users' search intents ...
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12/23/2021
ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
Pre-trained language models have achieved state-of-the-art results in va...
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12/06/2021
End-to-end Adaptive Distributed Training on PaddlePaddle
Distributed training has become a pervasive and effective approach for t...
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11/05/2021
ActFloor-GAN: Activity-Guided Adversarial Networks for Human-Centric Floorplan Design
We present a novel two-stage approach for automated floorplan design in ...
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09/12/2021
Prioritized Subnet Sampling for Resource-Adaptive Supernet Training
A resource-adaptive supernet adjusts its subnets for inference to fit th...
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07/30/2021
DPT: Deformable Patch-based Transformer for Visual Recognition
Transformer has achieved great success in computer vision, while how to ...
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07/14/2021
Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion
The mainstream approach for filter pruning is usually either to force a ...
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07/06/2021
FloorLevel-Net: Recognizing Floor-Level Lines with Height-Attention-Guided Multi-task Learning
The ability to recognize the position and order of the floor-level lines...
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07/01/2021
UrbanVR: An immersive analytics system for context-aware urban design
Urban design is a highly visual discipline that requires visualization f...
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04/02/2021
Adaptive Class Suppression Loss for Long-Tail Object Detection
To address the problem of long-tail distribution for the large vocabular...
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03/08/2021
Contrastive Neural Architecture Search with Neural Architecture Comparators
One of the key steps in Neural Architecture Search (NAS) is to estimate ...
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03/01/2021
Deep Colormap Extraction from Visualizations
This work presents a new approach based on deep learning to automaticall...
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01/31/2021
The distance between the weights of the neural network is meaningful
In the application of neural networks, we need to select a suitable mode...
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08/13/2020
Hybrid Dynamic-static Context-aware Attention Network for Action Assessment in Long Videos
The objective of action quality assessment is to score sports videos. Ho...
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08/03/2020
Exemplar-based Layout Fine-tuning for Node-link Diagrams
We design and evaluate a novel layout fine-tuning technique for node-lin...
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07/31/2020
Topology Density Map for Urban Data Visualization and Analysis
Density map is an effective visualization technique for depicting the sc...
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07/30/2020
Revisiting the Modifiable Areal Unit Problem in Deep Traffic Prediction with Visual Analytics
Deep learning methods are being increasingly used for urban traffic pred...
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07/30/2020
Composition and Configuration Patterns in Multiple-View Visualizations
Multiple-view visualization (MV) is a layout design technique often empl...
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07/25/2020
Variance Reduction for Deep Q-Learning using Stochastic Recursive Gradient
Deep Q-learning algorithms often suffer from poor gradient estimations w...
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12/20/2019
Prediction of Physical Load Level by Machine Learning Analysis of Heart Activity after Exercises
The assessment of energy expenditure in real life is of great importance...
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07/31/2019
LassoNet: Deep Lasso-Selection of 3D Point Clouds
Selection is a fundamental task in exploratory analysis and visualizatio...
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07/23/2019
Off-policy Learning for Multiple Loggers
It is well known that the historical logs are used for evaluating and le...
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06/21/2019
n-VDD: Location Privacy Protection Based on Voronoi-Delaunay Duality
To date, location privacy protection is a critical issue in Location-Bas...
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05/27/2019
A collaborative filtering model with heterogeneous neural networks for recommender systems
In recent years, deep neural network is introduced in recommender system...
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12/04/2018
Inferring Point Clouds from Single Monocular Images by Depth Intermediation
In this paper, we propose a framework for generating 3D point cloud of a...
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11/09/2018
Design Rule Violation Hotspot Prediction Based on Neural Network Ensembles
Design rule check is a critical step in the physical design of integrate...
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10/21/2018
Spherical Parameterization Balancing Angle and Area Distortions
This work presents a novel framework for spherical mesh parameterization...
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08/31/2018
Open Source Dataset and Machine Learning Techniques for Automatic Recognition of Historical Graffiti
Machine learning techniques are presented for automatic recognition of t...
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08/14/2018
Parallel Statistical and Machine Learning Methods for Estimation of Physical Load
Several statistical and machine learning methods are proposed to estimat...
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04/22/2018
MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server
One of the most significant bottleneck in training large scale machine l...
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03/03/2018
Chest X-Ray Analysis of Tuberculosis by Deep Learning with Segmentation and Augmentation
The results of chest X-ray (CXR) analysis of 2D images to get the statis...
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01/19/2018
Dimensionality Reduction in Deep Learning for Chest X-Ray Analysis of Lung Cancer
Efficiency of some dimensionality reduction techniques, like lung segmen...
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12/20/2017
Deep Learning with Lung Segmentation and Bone Shadow Exclusion Techniques for Chest X-Ray Analysis of Lung Cancer
The recent progress of computing, machine learning, and especially deep ...
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11/30/2017
3DContextNet: K-d Tree Guided Hierarchical Learning of Point Clouds Using Local Contextual Cues
3D data such as point clouds and meshes are becoming more and more avail...
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10/19/2017
Preference Modeling by Exploiting Latent Components of Ratings
Understanding user preference is essential to the optimization of recomm...
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08/02/2016
Registration of Volumetric Prostate Scans using Curvature Flow
Radiological imaging of the prostate is becoming more popular among rese...
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02/25/2014