| 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 | 7 | 2019 |
| 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 | 6 | 2021 |
| 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 | 4 | 2024 |
| 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 | 2 | 2024 |
| 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 | 2 | 2024 |
| 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 | 2 | 2018 |
| 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 | 1 | 2024 |
| Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates P Zhao, J Wu, Z Liu, C Wang, R Fan, Q Li arXiv preprint arXiv:2408.09891, 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 |
