Siyang Jiang
Orcid: 0000-0002-7700-2552
According to our database1,
Siyang Jiang
authored at least 22 papers
between 2020 and 2024.
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Bibliography
2024
DrHouse: An LLM-empowered Diagnostic Reasoning System through Harnessing Outcomes from Sensor Data and Expert Knowledge.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., November, 2024
Efficiency Optimization Techniques in Privacy-Preserving Federated Learning With Homomorphic Encryption: A Brief Survey.
IEEE Internet Things J., July, 2024
Lancelot: Towards Efficient and Privacy-Preserving Byzantine-Robust Federated Learning within Fully Homomorphic Encryption.
CoRR, 2024
Poster Abstract: Threshold Cryptography-based Authentication Protocol for Remote Healthcare.
Proceedings of the 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks, 2024
Demo Abstract: CaringFM: An Interactive In-home Healthcare System Empowered by Large Foundation Models.
Proceedings of the 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks, 2024
ArtFL: Exploiting Data Resolution in Federated Learning for Dynamic Runtime Inference via Multi-Scale Training.
Proceedings of the 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks, 2024
EEG Decoding of Auditory Spatial Attention Based on Visibility Graph and Machine Learning.
Proceedings of the International Conference on Computer Vision and Deep Learning, 2024
2023
LiCAM: Long-Tailed Instance Segmentation with Real-Time Classification Accuracy Monitoring.
J. Circuits Syst. Comput., January, 2023
Pairwise learning problems with regularization networks and Nyström subsampling approach.
Neural Networks, 2023
IACR Cryptol. ePrint Arch., 2023
Model-Heterogeneous Federated Learning for Internet of Things: Enabling Technologies and Future Directions.
CoRR, 2023
CoRR, 2023
Poster Abstract: CNN-guardian: Secure Neural Network Inference Acceleration on Edge GPU.
Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
PGADA: Perturbation-Guided Adversarial Alignment for Few-Shot Learning Under the Support-Query Shift.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, 2022
Dual-Triangular QR Decomposition with Global Acceleration and Partially Q-Rotation Skipping.
Proceedings of the International Conference on Field-Programmable Technology, 2022
2021
RIIT: Rethinking the Importance of Implementation Tricks in Multi-Agent Reinforcement Learning.
CoRR, 2021
Dataflow Systolic Array Implementations of Exploring Dual-Triangular Structure in QR Decomposition Using High-Level Synthesis.
Proceedings of the International Conference on Field-Programmable Technology, 2021
2020
Defect Detection of Pantograph Slide Based on Deep Learning and Image Processing Technology.
IEEE Trans. Intell. Transp. Syst., 2020
A Study on an Anthropomorphic Car-Following Strategy Framework of the Autonomous Coach in Mixed Traffic Flow.
IEEE Access, 2020
Visibility Detection Based on the Recognition of the Preceding Vehicle's Taillight Signals.
IEEE Access, 2020