Xinlong Jiang
Orcid: 0000-0001-6832-3808
According to our database1,
Xinlong Jiang
authored at least 47 papers
between 2014 and 2024.
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Bibliography
2024
PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching.
IEEE Trans. Knowl. Data Eng., December, 2024
J. Comput. Sci. Technol., September, 2024
GJFusion: A Channel-Level Correlation Construction Method for Multimodal Physiological Signal Fusion.
ACM Trans. Multim. Comput. Commun. Appl., February, 2024
FedEYE: A scalable and flexible end-to-end federated learning platform for ophthalmology.
Patterns, 2024
Correlation-Driven Multi-Modality Graph Decomposition for Cross-Subject Emotion Recognition.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Model Trip: Enhancing Privacy and Fairness in Model Fusion Across Multi-Federations for Trustworthy Global Healthcare.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Buffalo: Biomedical Vision-Language Understanding with Cross-Modal Prototype and Federated Foundation Model Collaboration.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
Bi-STAN: bilinear spatial-temporal attention network for wearable human activity recognition.
Int. J. Mach. Learn. Cybern., July, 2023
ACM Trans. Intell. Syst. Technol., February, 2023
Differentially Private Pre-Trained Model Fusion using Decentralized Federated Graph Matching.
CoRR, 2023
AFL-CS: Asynchronous Federated Learning with Cosine Similarity-based Penalty Term and Aggregation.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
FedTAM: Decentralized Federated Learning with a Feature Attention Based Multi-teacher Knowledge Distillation for Healthcare.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
2022
A differentially private indoor localization scheme with fusion of WiFi and bluetooth fingerprints in edge computing.
Neural Comput. Appl., 2022
Int. J. Mach. Learn. Cybern., 2022
Proceedings of the IEEE Smartworld, 2022
ProtoPLSTM: An Interpretable Deep Learning Approach for Wearable Fine-Grained Fall Detection.
Proceedings of the IEEE Smartworld, 2022
2020
WeDA: Designing and Evaluating A Scale-driven Wearable Diagnostic Assessment System for Children with ADHD.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020
2019
基于多模融合的半监督场景识别方法 (Semi-supervised Scene Recognition Method Based on Multi-mode Fusion).
计算机科学, 2019
Proceedings of the 2019 IEEE SmartWorld, 2019
Proceedings of the 2019 IEEE SmartWorld, 2019
Proceedings of the 2019 IEEE SmartWorld, 2019
Proceedings of the 2019 IEEE SmartWorld, 2019
Poster Abstract: A Wearable Diagnostic Assessment System for Attention Deficit Hyperactivity Disorder.
Proceedings of the 4th IEEE/ACM International Conference on Connected Health: Applications, 2019
2018
FSELM: fusion semi-supervised extreme learning machine for indoor localization with Wi-Fi and Bluetooth fingerprints.
Soft Comput., 2018
OKRELM: online kernelized and regularized extreme learning machine for wearable-based activity recognition.
Int. J. Mach. Learn. Cybern., 2018
计算机科学, 2018
基于多维尺度分析的自适应室内群终端定位方法 (Adaptive Indoor Location Method for Multiple Terminals Based on Multidimensional Scaling).
计算机科学, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
BrainStorm: a psychosocial game suite design for non-invasive cross-generational cognitive capabilities data collection.
J. Exp. Theor. Artif. Intell., 2017
An Effective Deep Learning Approach for Unobtrusive Sleep Stage Detection Using Microphone Sensor.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017
ProCom: Designing and Evaluating a Mobile and Wearable System to Support Proximity Awareness for People with Autism.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017
2016
Feature Adaptive Online Sequential Extreme Learning Machine for lifelong indoor localization.
Neural Comput. Appl., 2016
融合多模传感器的室内实时高精度轨迹生成 (Multi-sensor Fusion Based Indoor Real-time and Highly Accurate Trajectory Generation).
计算机科学, 2016
Heterogeneous Data Driven Manifold Regularization Model for Fingerprint Calibration Reduction.
Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016
Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016
ProCom: designing a mobile and wearable system to support proximity awareness for people with autism.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016
2015
Neurocomputing, 2015
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015
2014
Constraint Online Sequential Extreme Learning Machine for lifelong indoor localization system.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014
ContextSense: unobtrusive discovery of incremental social context using dynamic bluetooth data.
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014