Jing Liu

Orcid: 0000-0002-1712-2966

Affiliations:
  • University of California, San Diego, Department of Electrical and Computer Engineering, CA, USA


According to our database1, Jing Liu authored at least 18 papers between 2015 and 2024.

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

Timeline

2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Quantum Diffusion Models for Few-Shot Learning.
CoRR, 2024

Exploring User-level Gradient Inversion with a Diffusion Prior.
CoRR, 2024

Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage.
CoRR, 2024

Variational Randomized Smoothing for Sample-Wise Adversarial Robustness.
CoRR, 2024

GPT Sonograpy: Hand Gesture Decoding from Forearm Ultrasound Images via VLM.
CoRR, 2024

Efficient Differentially Private Fine-Tuning of Diffusion Models.
CoRR, 2024

SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer Attention Modules.
CoRR, 2024

Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks?
CoRR, 2024

Random Channel Ablation for Robust Hand Gesture Classification with Multimodal Biosignals.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

SuperLoRA: Parameter-Efficient Unified Adaptation for Large Vision Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Analyzing Inference Privacy Risks Through Gradients In Machine Learning.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023
Stabilizing Subject Transfer in EEG Classification with Divergence Estimation.
CoRR, 2023

2019
Sparse Bayesian Learning for Robust PCA: Algorithms and Analyses.
IEEE Trans. Signal Process., 2019

Robust PCA via ℓ<sub>0</sub>-ℓ<sub>1</sub> Regularization.
IEEE Trans. Signal Process., 2019

Sparse Bayesian Learning for Robust PCA.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Robust Linear Regression via ℓ<sub>0</sub> Regularization.
IEEE Trans. Signal Process., 2018

2017
Sparsity regularized Principal Component Pursuit.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2015
Image registration robust to sparse large errors.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015


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