Siyang Jiang

Orcid: 0000-0002-9926-6532

According to our database1, Siyang Jiang authored at least 20 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
DrHouse: An LLM-empowered Diagnostic Reasoning System through Harnessing Outcomes from Sensor Data and Expert Knowledge.
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

XNET: A Real-Time Unified Secure Inference Framework Using Homomorphic Encryption.
IACR Cryptol. ePrint Arch., 2023

Model-Heterogeneous Federated Learning for Internet of Things: Enabling Technologies and Future Directions.
CoRR, 2023

Dual Adversarial Alignment for Realistic Support-Query Shift Few-shot Learning.
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

Incremental Reinforcement Learning with Dual-Adaptive ε-Greedy Exploration.
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

BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning.
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


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