research
∙
05/07/2023
Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
Deep Reinforcement Learning (DRL) has exhibited efficacy in resolving th...
share
research
∙
03/08/2023
Corner Detection Based on Multi-directional Gabor Filters with Multi-scales
Gabor wavelet is an essential tool for image analysis and computer visio...
research
∙
02/27/2023
UMIFormer: Mining the Correlations between Similar Tokens for Multi-View 3D Reconstruction
In recent years, many video tasks have achieved breakthroughs by utilizi...
research
∙
02/25/2023
Autonomous Exploration and Mapping for Mobile Robots via Cumulative Curriculum Reinforcement Learning
Deep reinforcement learning (DRL) has been widely applied in autonomous ...
research
∙
02/18/2023
An Adaptive Plug-and-Play Network for Few-Shot Learning
Few-shot learning (FSL) requires a model to classify new samples after l...
research
∙
02/16/2023
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators
Analog in-memory computing (AIMC) – a promising approach for energy-effi...
research
∙
01/13/2023
Short-time SSVEP data extension by a novel generative adversarial networks based framework
Steady-state visual evoked potentials (SSVEPs) based brain-computer inte...
research
∙
11/04/2022
GARNet: Global-Aware Multi-View 3D Reconstruction Network and the Cost-Performance Tradeoff
Deep learning technology has made great progress in multi-view 3D recons...
research
∙
10/03/2022
Lexical semantics enhanced neural word embeddings
Current breakthroughs in natural language processing have benefited dram...
research
∙
09/30/2022
Synonym Detection Using Syntactic Dependency And Neural Embeddings
Recent advances on the Vector Space Model have significantly improved so...
research
∙
07/28/2022
CoNet: Borderless and decentralized server cooperation in edge computing
In edge computing (EC), by offloading tasks to edge server or remote clo...
research
∙
07/14/2022
In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory
Continually learning new classes from a few training examples without fo...
research
∙
05/13/2022
Constructing Trajectory and Predicting Estimated Time of Arrival for Long Distance Travelling Vessels: A Probability Density-based Scanning Approach
In this study, a probability density-based approach for constructing tra...
research
∙
04/08/2022
Optimizing Coordinative Schedules for Tanker Terminals: An Intelligent Large Spatial-Temporal Data-Driven Approach – Part 2
In this study, a novel coordinative scheduling optimization approach is ...
research
∙
04/08/2022
Optimizing Coordinative Schedules for Tanker Terminals: An Intelligent Large Spatial-Temporal Data-Driven Approach – Part 1
In this study, a novel coordinative scheduling optimization approach is ...
research
∙
10/28/2021
Efficient Algorithms and Implementation of a Semiparametric Joint Model for Longitudinal and Competing Risks Data: With Applications to Massive Biobank Data
Semiparametric joint models of longitudinal and competing risks data are...
research
∙
10/26/2021
Real-time division-of-focal-plane polarization imaging system with progressive networks
Division-of-focal-plane (DoFP) polarization imaging technical recently h...
research
∙
09/27/2021
A Biologically Inspired Simultaneous Localization and Mapping System Based on LiDAR Sensor
Simultaneous localization and mapping (SLAM) is one of the essential tec...
research
∙
07/21/2021
Anomaly Detection via Self-organizing Map
Anomaly detection plays a key role in industrial manufacturing for produ...
research
∙
06/30/2021
A Flexible Joint Model for Multiple Longitudinal Biomarkers and A Time-to-Event Outcome: With Applications to Dynamic Prediction Using Highly Correlated Biomarkers
In biomedical studies it is common to collect data on multiple biomarker...
research
∙
02/16/2021
A Benchmark of Ocular Disease Intelligent Recognition: One Shot for Multi-disease Detection
In ophthalmology, early fundus screening is an economic and effective wa...
research
∙
01/07/2021
Multimodal Gait Recognition for Neurodegenerative Diseases
In recent years, single modality based gait recognition has been extensi...
research
∙
11/07/2020
SeqGenSQL – A Robust Sequence Generation Model for Structured Query Language
We explore using T5 (Raffel et al. (2019)) to directly translate natural...
research
∙
10/19/2020
SWIPENET: Object detection in noisy underwater images
In recent years, deep learning based object detection methods have achie...
research
∙
12/16/2019
The Network-based Candidate Forwarding Set Optimization Approach for Opportunistic Routing in Wireless Sensor Network
In wireless sensor networks (WSNs), the opportunistic routing has better...
research
∙
12/16/2019
Geographical and Topology Control based Opportunistic Routing for Ad Hoc Networks
The opportunistic routing has great advantages on improving packet deliv...
research
∙
12/16/2019
A new Frequency Estimation Sketch for Data Streams
In data stream applications, one of the critical issues is to estimate t...
research
∙
12/16/2019
Trapezoidal Sketch: A Sketch Structure for Frequency Estimation of Data Streams
The sketch is one of the typical and widely used data structures for est...
research
∙
12/16/2019
Pairwise-based Multi-Attribute Decision Making Approach for Wireless Network
In the wireless network applications, such as routing decision, network ...
research
∙
12/16/2019
Game Theory based Joint Task Offloading and Resources Allocation Algorithm for Mobile Edge Computing
Mobile edge computing (MEC) has emerged for reducing energy consumption ...
research
∙
09/10/2019
The Prevalence of Errors in Machine Learning Experiments
Context: Conducting experiments is central to research machine learning ...
research
∙
09/09/2019
Deep Learning-based Radiomic Features for Improving Neoadjuvant Chemoradiation Response Prediction in Locally Advanced Rectal Cancer
Radiomic features achieve promising results in cancer diagnosis, treatme...
research
∙
07/28/2019
A Systematic Review of Unsupervised Learning Techniques for Software Defect Prediction
Background: Unsupervised machine learners have been increasingly applied...
research
∙
04/25/2019
GPU-based Efficient Join Algorithms on Hadoop
The growing data has brought tremendous pressure for query processing an...
research
∙
09/06/2018
Deep Neural Net with Attention for Multi-channel Multi-touch Attribution
Customers are usually exposed to online digital advertisement channels, ...
research
∙
05/06/2018
Distributed Joint Offloading Decision and Resource Allocation for Multi-User Mobile Edge Computing: A Game Theory Approach
Due to the spectrum reuse in small cell network, the inter-cell interfer...
research
∙
04/04/2018
Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval
Thanks to the success of deep learning, cross-modal retrieval has made s...
research
∙
12/14/2017