research
∙
09/20/2023
Integrating Visual Foundation Models for Enhanced Robot Manipulation and Motion Planning: A Layered Approach
This paper presents a novel layered framework that integrates visual fou...
share
research
∙
08/25/2023
COCO: Testing Code Generation Systems via Concretized Instructions
Code generation systems have been extensively developed in recent years ...
research
∙
08/22/2023
NLP-based detection of systematic anomalies among the narratives of consumer complaints
We develop an NLP-based procedure for detecting systematic nonmeritoriou...
research
∙
07/25/2023
One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction
Magnetic resonance imaging (MRI) is a principal radiological modality th...
research
∙
05/31/2023
Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues
Reconstructing deformable tissues from endoscopic stereo videos in robot...
research
∙
05/24/2023
Assessment of Anterior Cruciate Ligament Injury Risk Based on Human Key Points Detection Algorithm
This paper aims to detect the potential injury risk of the anterior cruc...
research
∙
05/18/2023
Automatic Design Method of Building Pipeline Layout Based on Deep Reinforcement Learning
The layout design of pipelines is a critical task in the construction in...
research
∙
04/13/2023
NeRFVS: Neural Radiance Fields for Free View Synthesis via Geometry Scaffolds
We present NeRFVS, a novel neural radiance fields (NeRF) based method to...
research
∙
03/18/2023
ggpicrust2: an R package for PICRUSt2 predicted functional profile analysis and visualization
Microbiome research is now moving beyond the compositional analysis of m...
research
∙
03/13/2023
Automatic Identification and Extraction of Assumptions on GitHub
In software development, due to the lack of knowledge or information, ti...
research
∙
12/26/2022
Mining Architectural Information: A Systematic Mapping Study
Context: Mining Software Repositories (MSR) has become an essential acti...
research
∙
12/06/2022
A K-variate Time Series Is Worth K Words: Evolution of the Vanilla Transformer Architecture for Long-term Multivariate Time Series Forecasting
Multivariate time series forecasting (MTSF) is a fundamental problem in ...
research
∙
10/15/2022
SPIDR: SDF-based Neural Point Fields for Illumination and Deformation
Neural radiance fields (NeRFs) have recently emerged as a promising appr...
research
∙
08/26/2022
Multi tasks RetinaNet for mitosis detection
The account of mitotic cells is a key feature in tumor diagnosis. Howeve...
research
∙
08/19/2022
Video Interpolation by Event-driven Anisotropic Adjustment of Optical Flow
Video frame interpolation is a challenging task due to the ever-changing...
research
∙
08/11/2022
A Cooperative Positioning Flamework for Robot and Smart Phone Based on Visible Light Communication
A cooperative positioning flamework of human and robots based on visible...
research
∙
07/27/2022
Tail maximal dependence in bivariate models: estimation and applications
Assessing dependence within co-movements of financial instruments has be...
research
∙
06/15/2022
RecBole 2.0: Towards a More Up-to-Date Recommendation Library
In order to support the study of recent advances in recommender systems,...
research
∙
06/03/2022
Federating and querying heterogeneous and distributed Web APIs and triple stores
Today's international corporations such as BASF, a leading company in th...
research
∙
05/10/2022
Decisions in Continuous Integration and Delivery: An Exploratory Study
In recent years, Continuous Integration (CI) and Continuous Delivery (CD...
research
∙
03/15/2022
DialogueNeRF: Towards Realistic Avatar Face-to-face Conversation Video Generation
Conversation is an essential component of virtual avatar activities in t...
research
∙
02/09/2022
Using 5G in Smart Cities: A Systematic Mapping Study
5G is the fifth generation wireless network, with a set of characteristi...
research
∙
01/17/2022
Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework
We propose a general Variational Embedding Learning Framework (VELF) for...
research
∙
11/21/2021
FCOSR: A Simple Anchor-free Rotated Detector for Aerial Object Detection
Existing anchor-base oriented object detection methods have achieved ama...
research
∙
10/01/2021
Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning
Nowadays, deep learning methods with large-scale datasets can produce cl...
research
∙
06/13/2021
Underwater Soft Robotic Hand with Multi-Source Coupling Bio-Inspired Soft Palm and Six Fingers Driven by Water Hydraulic
A new fluid-driven soft robot hand in this study uses the idea of the bi...
research
∙
05/13/2021
Physical Artificial Intelligence: The Concept Expansion of Next-Generation Artificial Intelligence
Artificial Intelligence has been a growth catalyst to our society and is...
research
∙
05/03/2021
A Machine Learning Based Ensemble Method for Automatic Multiclass Classification of Decisions
Stakeholders make various types of decisions with respect to requirement...
research
∙
04/29/2021
Self-Claimed Assumptions in Deep Learning Frameworks: An Exploratory Study
Deep learning (DL) frameworks have been extensively designed, implemente...
research
∙
03/22/2021
Multi-Programming-Language Commits in OSS: An Empirical Study on Apache Projects
Modern software systems, such as Spark, are usually written in multiple ...
research
∙
03/09/2021
MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation
Unsupervised domain adaptation (UDA) aims to transfer the knowledge from...
research
∙
01/28/2021
A Spatial-Temporal Graph Neural Network Framework for Automated Software Bug Triaging
The bug triaging process, an essential process of assigning bug reports ...
research
∙
01/09/2021
Learning Better Sentence Representation with Syntax Information
Sentence semantic understanding is a key topic in the field of natural l...
research
∙
11/20/2020
Detecting systematic anomalies affecting systems when inputs are stationary time series
We develop an anomaly detection method when systematic anomalies are aff...
research
∙
10/18/2020
CHECKED: Chinese COVID-19 Fake News Dataset
COVID-19 has impacted all lives. To maintain social distancing and avoid...
research
∙
08/07/2020
PSCS: A Path-based Neural Model for Semantic Code Search
To obtain code snippets for reuse, programmers prefer to search for rela...
research
∙
05/24/2020
Req2Lib: A Semantic Neural Model for Software Library Recommendation
Third-party libraries are crucial to the development of software project...
research
∙
12/16/2019
Domain Knowledge Based Brain Tumor Segmentation and Overall Survival Prediction
Automatically segmenting sub-regions of gliomas (necrosis, edema and enh...
research
∙
05/14/2019
Fully Integrated On-FPGA Molecular Dynamics Simulations
The implementation of Molecular Dynamics (MD) on FPGAs has received subs...
research
∙
03/22/2019
A resnet-based universal method for speckle reduction in optical coherence tomography images
In this work we propose a ResNet-based universal method for speckle redu...
research
∙
11/27/2018
Cloud based Real-Time and Low Latency Scientific Event Analysis
Astronomy is well recognized as big data driven science. As the novel ob...
research
∙
11/27/2018
AstroServ: Distributed Database for Serving Large-Scale Full Life-Cycle Astronomical Data
In time-domain astronomy, STLF (Short-Timescale and Large Field-of-view)...
research
∙
11/27/2018
Data Management in Time-Domain Astronomy: Requirements and Challenges
In time-domain astronomy, we need to use the relational database to mana...
research
∙
11/27/2018
A Frequency Scaling based Performance Indicator Framework for Big Data Systems
It is important for big data systems to identify their performance bottl...
research
∙
02/27/2018