Ruinan Jin

Orcid: 0000-0001-6029-1186

According to our database1, Ruinan Jin authored at least 15 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
Reliable High Throughput Aerial Acoustic Communication for Mobile Network.
IEEE Trans. Veh. Technol., April, 2024

Universal Debiased Editing on Foundation Models for Fair Medical Image Classification.
CoRR, 2024

Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIP.
CoRR, 2024

2023
Backdoor attack and defense in federated generative adversarial network-based medical image synthesis.
Medical Image Anal., December, 2023

PURE: Passive Multi-Person Identification via Footstep for Mobile Service Networks.
IEEE Trans. Veh. Technol., September, 2023

Toward Practical Lightweight Passive Human Tracking Using WiFi Sensing.
IEEE Internet Things J., August, 2023

Fast density estimation for density-based clustering methods.
Neurocomputing, May, 2023

Forgettable Federated Linear Learning with Certified Data Removal.
CoRR, 2023

Federated Virtual Learning on Heterogeneous Data with Local-global Distillation.
CoRR, 2023

2022
Revisit last-iterate convergence of mSGD under milder requirement on step size.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Backdoor Attack is a Devil in Federated GAN-Based Medical Image Synthesis.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2022

On the Convergence of mSGD and AdaGrad for Stochastic Optimization.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
MotionBeep: Enabling Fitness Game for Collocated Players With Acoustic-Enabled IoT Devices.
IEEE Internet Things J., 2021

PURE: Passive mUlti-peRson idEntification via Deep Footstep Separation and Recognition.
CoRR, 2021

2020
Convergence of Momentum-Based Stochastic Gradient Descent.
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020


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