Qingming Li

Orcid: 0000-0002-6085-7300

According to our database1, Qingming Li authored at least 25 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
FVFL: A Flexible and Verifiable Privacy-Preserving Federated Learning Scheme.
IEEE Internet Things J., July, 2024

Probe: Learning Users' Personal Projection Bias in Inter-Temporal Choices.
IEEE Trans. Signal Process., 2024

CAMH: Advancing Model Hijacking Attack in Machine Learning.
CoRR, 2024

Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates.
CoRR, 2024

Learning with User-Level Local Differential Privacy.
CoRR, 2024

Enhancing Learning with Label Differential Privacy by Vector Approximation.
CoRR, 2024

Emulating Full Client Participation: A Long-Term Client Selection Strategy for Federated Learning.
CoRR, 2024

A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy.
CoRR, 2024

A Stealthy Backdoor Attack for Without-Label-Sharing Split Learning.
CoRR, 2024

How to Train a Backdoor-Robust Model on a Poisoned Dataset without Auxiliary Data?
CoRR, 2024

Could It Be Generated? Towards Practical Analysis of Memorization in Text-To-Image Diffusion Models.
CoRR, 2024

AdaFL: Adaptive Client Selection and Dynamic Contribution Evaluation for Efficient Federated Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
<i>Pacos</i>: Modeling preference reversals in users' context-dependent choices.
Knowl. Based Syst., October, 2023

Modelling Projection Bias in Intertemporal Choices: A Prospect Theory Based Approach.
CoRR, 2023

Pacos: Modeling Users' Interpretable and Context-Dependent Choices in Preference Reversals.
CoRR, 2023

Position Weighted Convolutional Neural Network for Unbalanced Children Caries Diagnosis.
IEEE Access, 2023

Performance Evaluation System Based on Multi-Indicators for Signal Recognition.
IEEE Access, 2023

2022
Integrating Reinforcement Learning and Optimal Power Dispatch to Enhance Power Grid Resilience.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

2021
PRIMA++: A Probabilistic Framework for User Choice Modelling With Small Data.
IEEE Trans. Signal Process., 2021

A homogenized damping model for the propagation of elastic wave in a porous solid.
CoRR, 2021

Consistency Regularization for Ensemble Model Based Reinforcement Learning.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

2020
Prediction Model and Application Case of Rock Drillability based on Acoustic Velocity.
Proceedings of the EEET 2020: 3rd International Conference on Electronics and Electrical Engineering Technology, 2020

2019
Low-pass-filter-based shock response spectrum and the evaluation method of transmissibility between equipment and sensitive components interfaces.
CoRR, 2019

Statistical and Machine Learning-based E-commerce Sales Forecasting.
Proceedings of the ICCSE'19: The 4th International Conference on Crowd Science and Engineering, Jinan, China, October 18, 2019

2018
Prima: Probabilistic Ranking with Inter-Item Competition and Multi-Attribute Utility Function.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018


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