Jie Chen

Orcid: 0000-0002-9811-1694

Affiliations:
  • Shenzhen University, College of Computer Science and Software Engineering, Shenzhen, China
  • Singapore-MIT Alliance for Research and Technology, Singapore
  • National University of Singapore, Department of Computer Science, Singapore (PhD 2013)


According to our database1, Jie Chen authored at least 53 papers between 2012 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Implicit Gradient-Modulated Semantic Data Augmentation for Deep Crack Recognition.
IEEE Trans. Intell. Transp. Syst., November, 2024

IOOSC-U2G: An Identity-Based Online/Offline Signcryption Scheme for Unmanned Aerial Vehicle to Ground Station Communication.
IEEE Internet Things J., September, 2024

Hybrid Bayesian Optimization-Based Graphical Discovery for Methylation Sites Prediction.
IEEE J. Biomed. Health Informatics, April, 2024

The revolution and vision of explainable AI for Android malware detection and protection.
Internet Things, 2024

Mind marginal non-crack regions: Clustering-inspired representation learning for crack segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Secure Distributed Sparse Gaussian Process Models Using Multi-Key Homomorphic Encryption.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
SIDA: Self-Supervised Imbalanced Domain Adaptation for Sound Enhancement and Cross-Domain WiFi Sensing.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2023

Integrating medical rules to assist attention for sleep apnea detection.
Robotica, August, 2023

A Variational AutoEncoder-Based Relational Model for Cost-Effective Automatic Medical Fraud Detection.
IEEE Trans. Dependable Secur. Comput., 2023

GPS availability prediction based on air-ground collaboration.
Int. J. Space Based Situated Comput., 2023

Visual Explanations: Activation-Based Acute Lymphoblastic Leukemia Cell Classification.
Proceedings of the IEEE International Conference on Development and Learning, 2023

The Devil is in the Crack Orientation: A New Perspective for Crack Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Defect Screening on Nuclear Power Plant Concrete Structures: A Two-staged Method Based on Contrastive Representation Learning.
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

2022
GAN-Based Dual Active Learning for Nosocomial Infection Detection.
IEEE Trans. Netw. Sci. Eng., 2022

CSG: Classifier-Aware Defense Strategy Based on Compressive Sensing and Generative Networks for Visual Recognition in Autonomous Vehicle Systems.
IEEE Trans. Intell. Transp. Syst., 2022

Stroke Risk Prediction With Hybrid Deep Transfer Learning Framework.
IEEE J. Biomed. Health Informatics, 2022

Energy-Efficient Ground Traversability Mapping Based on UAV-UGV Collaborative System.
IEEE Trans. Green Commun. Netw., 2022

Explainable CNN With Fuzzy Tree Regularization for Respiratory Sound Analysis.
IEEE Trans. Fuzzy Syst., 2022

A Memetic Path Planning Algorithm for Unmanned Air/Ground Vehicle Cooperative Detection Systems.
IEEE Trans Autom. Sci. Eng., 2022

Integrated Air-Ground Vehicles for UAV Emergency Landing Based on Graph Convolution Network.
IEEE Internet Things J., 2022

On-Site Colonoscopy Autodiagnosis Using Smart Internet of Medical Things.
IEEE Internet Things J., 2022

RTT-Based Rogue UAV Detection in IoV Networks.
IEEE Internet Things J., 2022

GraphTGI: an attention-based graph embedding model for predicting TF-target gene interactions.
Briefings Bioinform., 2022

Phoneme-Aware Adaptation with Discrepancy Minimization and Dynamically-Classified Vector for Text-independent Speaker Verification.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Automatic Thin Crack Segmentation with Deep Context Aggregation Network.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

When Active Learning Meets Implicit Semantic Data Augmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Geometry-Aware Guided Loss for Deep Crack Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Capsulated Graph Neural Network for Ubiquitylation Sites Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
System Identification Based on Generalized Orthonormal Basis Function for Unmanned Helicopters: A Reinforcement Learning Approach.
IEEE Trans. Veh. Technol., 2021

Global Visual and Semantic Observations for Outdoor Robot Localization.
IEEE Trans. Netw. Sci. Eng., 2021

Diversity-Sensitive Generative Adversarial Network for Terrain Mapping Under Limited Human Intervention.
IEEE Trans. Cybern., 2021

An Ensemble Net of Convolutional Auto-Encoder and Graph Auto-Encoder for Auto-Diagnosis.
IEEE Trans. Cogn. Dev. Syst., 2021

Graph relation network for person counting in construction site using UAV.
Appl. Soft Comput., 2021

Incorporating Knowledge Base for Deep Classification of Fetal Heart Rate.
Proceedings of the Intelligent Computing Theories and Application, 2021

2020
On Understanding the Impact of RTT in the Mobile Network for Detecting the Rogue UAVs.
IEEE Trans. Cogn. Commun. Netw., 2020

TagSort: Accurate Relative Localization Exploring RFID Phase Spectrum Matching for Internet of Things.
IEEE Internet Things J., 2020

A GCN-Based Decision-Making Network for Autonomous UAV Landing.
Proceedings of the 5th International Conference on Advanced Robotics and Mechatronics, 2020

A Two-level Memetic Path Planning Algorithm for Unmanned Air/Ground Vehicle Cooperative Detection Systems.
Proceedings of the 5th International Conference on Advanced Robotics and Mechatronics, 2020

Real-time Colonoscopy Image Segmentation Based on Ensemble Knowledge Distillation.
Proceedings of the 5th International Conference on Advanced Robotics and Mechatronics, 2020

Global Visual And Semantic Observations for Outdoor Robot Localization.
Proceedings of the 5th International Conference on Advanced Robotics and Mechatronics, 2020

Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A GAN-based Active Terrain Mapping for Collaborative Air-Ground Robotic System.
Proceedings of the 4th IEEE International Conference on Advanced Robotics and Mechatronics, 2019

2015
Gaussian Process Decentralized Data Fusion and Active Sensing for Spatiotemporal Traffic Modeling and Prediction in Mobility-on-Demand Systems.
IEEE Trans Autom. Sci. Eng., 2015

Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Generalized Online Sparse Gaussian Processes with Application to Persistent Mobile Robot Localization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Recent Advances in Scaling Up Gaussian Process Predictive Models for Large Spatiotemporal Data.
Proceedings of the Dynamic Data-Driven Environmental Systems Science, 2014

Multi-robot active sensing of non-stationary gaussian process-based environmental phenomena.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

GP-Localize: Persistent Mobile Robot Localization Using Online Sparse Gaussian Process Observation Model.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Gaussian Process-Based Decentralized Data Fusion and Active Sensing for Mobility-on-Demand System.
Proceedings of the Robotics: Science and Systems IX, Technische Universität Berlin, Berlin, Germany, June 24, 2013

2012
Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Decentralized active robotic exploration and mapping for probabilistic field classification in environmental sensing.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012


  Loading...