| Efficient inference for dynamic flexible interactions of neural populations F Zhou, Q Kong, Z Deng, J Kan, Y Zhang, C Feng, J Zhu Journal of Machine Learning Research 23 (211), 1-49, 2022 | 17* | 2022 |
| Efficient inference of flexible interaction in spiking-neuron networks F Zhou, Y Zhang, J Zhu International Conference on Learning Representations 2021, 2021 | 16 | 2021 |
| Fair representation learning with unreliable labels Y Zhang, F Zhou, Z Li, Y Wang, F Chen International Conference on Artificial Intelligence and Statistics, 4655-4667, 2023 | 10 | 2023 |
| Integration-free training for spatio-temporal multimodal covariate deep kernel point processes Y Zhang, Q Kong, F Zhou Advances in Neural Information Processing Systems 36, 25031-25049, 2023 | 7 | 2023 |
| A conditional Bayesian delay propagation model for large-scale railway traffic networks Y Zhang, R Li, T Guo, Z Li, Y Wang, F Chen Australasian Transport Research Forum, ATRF 2019-Proceedings, 2019 | 6 | 2019 |
| Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures Z Ling, L Li, Z Feng, Y Zhang, F Zhou, RC Qiu, Z Liao International Conference on Machine Learning, 2024 | 5 | 2024 |
| Bias Mitigation in Fine-tuning Pre-trained Models for Enhanced Fairness and Efficiency Y Zhang, F Zhou arXiv preprint arXiv:2403.00625, 2024 | 3 | 2024 |
| Bias-Tolerant Fair Classification Y Zhang, F Zhou, Z Li, Y Wang, F Chen Asian Conference on Machine Learning, 840-855, 2021 | 3 | 2021 |
| Mitigating label bias in machine learning: Fairness through confident learning Y Zhang, B Li, Z Ling, F Zhou Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 16917 …, 2024 | 2 | 2024 |
| Nonstationary Sparse Spectral Permanental Process Z Sun, Y Zhang, Z Ling, X Fan, F Zhou Advances in Neural Information Processing Systems, 2024 | 1 | 2024 |
| Language-TPP: Integrating Temporal Point Processes with Language Models for Event Analysis Q Kong, Y Zhang, Y Liu, P Tong, E Liu, F Zhou arXiv preprint arXiv:2502.07139, 2025 | | 2025 |
| Advances in Temporal Point Processes: Bayesian, Deep, and LLM Approaches F Zhou, Q Kong, Y Zhang arXiv preprint arXiv:2501.14291, 2025 | | 2025 |
| Navigating Towards Fairness with Data Selection Y Zhang, Z Li, Y Wang, F Chen, X Fan, F Zhou arXiv preprint arXiv:2412.11072, 2024 | | 2024 |
| Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression J Lyu, Y Zhang, X Lu, F Zhou arXiv preprint arXiv:2412.10897, 2024 | | 2024 |
| Out-of-Distribution Knowledge Distillation via Confidence Amendment Z Zhao, L Cao, Y Zhang arXiv preprint arXiv:2311.07975, 2023 | | 2023 |
| Hawkes process with stochastic triggering kernel F Zhou, Y Zhang, Z Li, X Fan, Y Wang, A Sowmya, F Chen Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019 | | 2019 |
Feng ZhouRenmin University of Chinaruc.edu.cn의 이메일 확인됨