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Qingming Li
Qingming Li
Bestätigte E-Mail-Adresse bei zju.edu.cn
Titel
Zitiert von
Zitiert von
Jahr
Statistical and machine learning-based e-commerce sales forecasting
W Dong, Q Li, HV Zhao
Proceedings of the 4th International Conference on Crowd Science and …, 2019
62019
PRIMA++: A probabilistic framework for user choice modelling with small data
Q Li, Z Chen, HV Zhao
IEEE Transactions on Signal Processing 69, 1140-1153, 2021
52021
Adafl: Adaptive client selection and dynamic contribution evaluation for efficient federated learning
Q Li, X Li, L Zhou, X Yan
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
22024
PRIMA: Probabilistic ranking with inter-item competition and multi-attribute utility function
Q Li, Z Chen, HV Zhao, YL Sun
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
22018
A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy
P Zhao, L Lai, L Shen, Q Li, J Wu, Z Liu
arXiv preprint arXiv:2405.13453, 2024
12024
FVFL: A Flexible and Verifiable Privacy-Preserving Federated Learning Scheme
G Wang, L Zhou, Q Li, X Yan, X Liu, Y Wu
IEEE Internet of Things Journal, 2024
12024
Learning with User-Level Local Differential Privacy
P Zhao, L Shen, R Fan, Q Li, H Wu, J Wu, Z Liu
arXiv preprint arXiv:2405.17079, 2024
2024
Enhancing Learning with Label Differential Privacy by Vector Approximation
P Zhao, R Fan, H Wu, Q Li, J Wu, Z Liu
arXiv preprint arXiv:2405.15150, 2024
2024
Emulating Full Client Participation: A Long-Term Client Selection Strategy for Federated Learning
Q Li, J Miao, P Zhao, L Zhou, S Ji, B Zhou, F Liu
arXiv preprint arXiv:2405.13584, 2024
2024
How to Train a Backdoor-Robust Model on a Poisoned Dataset without Auxiliary Data?
Y Pu, J Chen, C Zhou, Z Feng, Q Li, C Hu, S Ji
arXiv preprint arXiv:2405.12719, 2024
2024
Could It Be Generated? Towards Practical Analysis of Memorization in Text-To-Image Diffusion Models
Z Ma, X Zhang, Q Li, T Du, W Chen, Z Wang, S Ji
arXiv preprint arXiv:2405.05846, 2024
2024
Probe: Learning Users’ Personal Projection Bias in Inter-temporal Choices
Q Li, HV Zhao
IEEE Transactions on Signal Processing, 2024
2024
Pacos: Modeling preference reversals in users’ context-dependent choices
Q Li, HV Zhao
Knowledge-Based Systems 278, 110835, 2023
2023
Probe: Learning Users' Personalized Projection Bias in Intertemporal Choices
Q Li, HV Zhao
arXiv preprint arXiv:2303.06016, 2023
2023
Modelling Projection Bias in Intertemporal Choices: A Prospect Theory Based Approach
Q Li, HV Zhao
arXiv e-prints, arXiv: 2303.06016, 2023
2023
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