research
∙
08/20/2023
Deep Reinforcement Learning for Artificial Upwelling Energy Management
The potential of artificial upwelling (AU) as a means of lifting nutrien...
share
research
∙
04/11/2023
Multi-step Jailbreaking Privacy Attacks on ChatGPT
With the rapid progress of large language models (LLMs), many downstream...
research
∙
02/07/2023
Approximate message passing from random initialization with applications to ℤ_2 synchronization
This paper is concerned with the problem of reconstructing an unknown ra...
research
∙
12/25/2022
Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations
Urban traffic speed prediction aims to estimate the future traffic speed...
research
∙
12/16/2022
HGAN: Hierarchical Graph Alignment Network for Image-Text Retrieval
Image-text retrieval (ITR) is a challenging task in the field of multimo...
research
∙
10/28/2022
DiMBERT: Learning Vision-Language Grounded Representations with Disentangled Multimodal-Attention
Vision-and-language (V-L) tasks require the system to understand both vi...
research
∙
10/19/2022
Prophet Attention: Predicting Attention with Future Attention for Improved Image Captioning
Recently, attention based models have been used extensively in many sequ...
research
∙
09/28/2022
Graph Soft-Contrastive Learning via Neighborhood Ranking
Graph contrastive learning (GCL) has been an emerging solution for graph...
research
∙
08/04/2022
On the Feasibility of Out-of-Band Spatial Channel Information for Millimeter-Wave Beam Search
The rollout of millimeter-wave (mmWave) cellular network enables us to r...
research
∙
05/12/2022
Feature and Instance Joint Selection: A Reinforcement Learning Perspective
Feature selection and instance selection are two important techniques of...
research
∙
04/27/2022
TransHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction
Knowledge graph embedding methods are important for knowledge graph comp...
research
∙
10/28/2021
MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution
Space-time video super-resolution (STVSR) aims to construct a high space...
research
∙
10/27/2021
Anomaly-Injected Deep Support Vector Data Description for Text Outlier Detection
Anomaly detection or outlier detection is a common task in various domai...
research
∙
09/29/2021
Dynamic probabilistic predictable feature analysis for high dimensional temporal monitoring
Dynamic statistical process monitoring methods have been widely studied ...
research
∙
08/29/2021
Multiplex Graph Neural Network for Extractive Text Summarization
Extractive text summarization aims at extracting the most representative...
research
∙
07/04/2021
Audio-Oriented Multimodal Machine Comprehension: Task, Dataset and Model
While Machine Comprehension (MC) has attracted extensive research intere...
research
∙
06/14/2021
Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images
Instance segmentation is of great importance for many biological applica...
research
∙
06/13/2021
Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation
Automatically generating radiology reports can improve current clinical ...
research
∙
03/25/2021
Test-Time Training for Deformable Multi-Scale Image Registration
Registration is a fundamental task in medical robotics and is often a cr...
research
∙
12/20/2020
Measurement bias: a structural perspective
The causal structure for measurement bias (MB) remains controversial. Ai...
research
∙
12/06/2020
DGGAN: Depth-image Guided Generative Adversarial Networks for Disentangling RGB and Depth Images in 3D Hand Pose Estimation
Estimating3D hand poses from RGB images is essentialto a wide range of p...
research
∙
11/26/2020
Automatic Distractor Generation for Multiple Choice Questions in Standard Tests
To assess the knowledge proficiency of a learner, multiple choice questi...
research
∙
10/02/2020
MM-Hand: 3D-Aware Multi-Modal Guided Hand Generative Network for 3D Hand Pose Synthesis
Estimating the 3D hand pose from a monocular RGB image is important but ...
research
∙
10/02/2020
Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop
We study the problem of balancing effectiveness and efficiency in automa...
research
∙
09/19/2020
Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent
Feature selection aims to select a subset of features to optimize the pe...
research
∙
08/27/2020
AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning
In this paper, we study the problem of balancing effectiveness and effic...
research
∙
05/28/2020
Bipartite Distance for Shape-Aware Landmark Detection in Spinal X-Ray Images
Scoliosis is a congenital disease that causes lateral curvature in the s...
research
∙
05/11/2020
Commonsense Evidence Generation and Injection in Reading Comprehension
Human tackle reading comprehension not only based on the given context i...
research
∙
05/05/2020
Partly Supervised Multitask Learning
Semi-supervised learning has recently been attracting attention as an al...
research
∙
04/26/2020
An Extension of LIME with Improvement of Interpretability and Fidelity
While deep learning makes significant achievements in Artificial Intelli...
research
∙
04/15/2020
Analysis of Scoliosis From Spinal X-Ray Images
Scoliosis is a congenital disease in which the spine is deformed from it...
research
∙
02/18/2020
A Modified Perturbed Sampling Method for Local Interpretable Model-agnostic Explanation
Explainability is a gateway between Artificial Intelligence and society ...
research
∙
01/24/2020
Nonparametric Structure Regularization Machine for 2D Hand Pose Estimation
Hand pose estimation is more challenging than body pose estimation due t...
research
∙
12/09/2019
Shape-Aware Organ Segmentation by Predicting Signed Distance Maps
In this work, we propose to resolve the issue existing in current deep l...
research
∙
11/20/2019
Object-Guided Instance Segmentation for Biological Images
Instance segmentation of biological images is essential for studying obj...
research
∙
11/04/2019
Explaining the Predictions of Any Image Classifier via Decision Trees
Despite outstanding contribution to the significant progress of Artifici...
research
∙
06/20/2019
Multi-Grained Named Entity Recognition
This paper presents a novel framework, MGNER, for Multi-Grained Named En...
research
∙
06/18/2019
Neural Multi-Scale Self-Supervised Registration for Echocardiogram Dense Tracking
Echocardiography has become routinely used in the diagnosis of cardiomyo...
research
∙
12/31/2018
SynonymNet: Multi-context Bilateral Matching for Entity Synonyms
Being able to automatically discover synonymous entities from a large fr...
research
∙
12/22/2018
Joint Slot Filling and Intent Detection via Capsule Neural Networks
Being able to recognize words as slots and detect the intent of an utter...
research
∙
12/06/2018
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering
Answer selection and knowledge base question answering (KBQA) are two im...
research
∙
11/25/2018
Generating Realistic Training Images Based on Tonality-Alignment Generative Adversarial Networks for Hand Pose Estimation
Hand pose estimation from a monocular RGB image is an important but chal...
research
∙
11/01/2018
On the Generation of Medical Question-Answer Pairs
Question answering (QA) has achieved promising progress recently. Howeve...
research
∙
10/14/2018
Finding Similar Medical Questions from Question Answering Websites
The past few years have witnessed the flourishing of crowdsourced medica...
research
∙
09/27/2018
When Truth Discovery Meets Medical Knowledge Graph: Estimating Trustworthiness Degree for Medical Knowledge Condition
Medical knowledge graph is the core component for various medical applic...
research
∙
08/15/2018
AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation
Radiation therapy (RT) is a common treatment for head and neck (HaN) can...
research
∙
08/15/2018
AnatomyNet: Deep Learning for Fast and Fully Automated Whole-volume Segmentation of Head and Neck Anatomy
Methods: Our deep learning model, called AnatomyNet, segments OARs from ...
research
∙
01/25/2018
DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification
In this work, we present a fully automated lung computed tomography (CT)...
research
∙
10/22/2017
Bringing Semantic Structures to User Intent Detection in Online Medical Queries
The Internet has revolutionized healthcare by offering medical informati...
research
∙
09/16/2017
