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Publications

  1. Z. Meng, K. Wan, Y. Huang, Z. Li, Y. Wang, F. Zhou*, "Interpretable Transformer Hawkes Processes: Unveiling Complex Interactions in Social Networks", KDD 2024.

  2. T. Ke, H. Cao, F. Zhou*, "Accelerating Convergence in Bayesian Few-Shot Classification", ICML 2024. [pdf][code]

  3. Z. Ling, L. Li, Z. Feng, Y. Zhang, F. Zhou, R. Qiu, Z. Liao, "Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures", ICML 2024.

  4. X. Fan, Z. Wu, H. Chen, F. Zhou, C. Quinn, L. Cao, "Deep Variational Learning", Tutorial IJCAI 2024.

  5. Y. Miao, Y. Lei, F. Zhou*, Zhijie Deng*, "Bayesian Exploration of Pre-trained Models for Low-shot Image Classification", CVPR 2024. [pdf]

  6. Y. Zhang, B. Li, Z. Ling, F. Zhou*, "Mitigating Label Bias in Machine Learning: Fairness through Confident Learning", AAAI 2024. [pdf][code]

  7. T. Ke, H. Cao, Z. Ling, F. Zhou*, "Revisiting Logistic-softmax Likelihood in Bayesian Meta-learning for Few-shot Classification", NeurIPS 2023. [pdf][code]

  8. Y. Zhang, Q. Kong, F. Zhou*, "Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes", NeurIPS 2023. [pdf]

  9. F. Zhou, Q. Kong, Z. Deng, F. He, P. Cui, J. Zhu*, "Heterogeneous Multi-task Gaussian Cox Processes", Machine Learning. [pdf][code]

  10. Y. Mou, J. Geng, F. Zhou*, O. Beyan, C. Rong, S. Decker, "pFedV: Mitigating Feature Distribution Skewness via Personalized Federated Learning with Variational Distribution Constraints", PAKDD 2023. [pdf][code]

  11. Y. Zhang, F. Zhou*, Z. Li, Y. Wang, F. Chen, "Fair Representation Learning with Unreliable Labels", AISTATS 2023. [pdf][code]

  12. Z. Deng, F. Zhou, J. Zhu*, "Accelerated Linearized Laplace Approximation for Bayesian Deep Learning", NeurIPS 2022. [pdf][code]

  13. F. Zhou, Q. Kong, Z. Deng, J. Kan, Y. Zhang, C. Feng, J. Zhu*, "Efficient Inference for Dynamic Flexible Interactions of Neural Populations", Journal of Machine Learning Research. [pdf][code]

  14. X. Fan, B. Li, F. Zhou, S. Sisson, "Continuous-Time Edge Modelling Using Non-Parametric Point Processes", NeurIPS 2021. [pdf][code]

  15. Y. Zhang, F. Zhou, Z. Li, Y. Wang, F. Chen, "Bias-Tolerant Fair Classification", ACML 2021. [pdf]

  16. F. Zhou, S. Luo, Z. Li*, X. Fan, Y. Wang, A. Sowmya, F. Chen, "Efficient EM-Variational Inference for Nonparametric Hawkes Process", Statistics and Computing. [pdf][code]

  17. F. Zhou, Y. Zhang, J. Zhu*, "Efficient Inference of Flexible Interaction in Spiking-neuron Networks", ICLR 2021. [pdf][code]

  18. F. Zhou, Z. Li, X. Fan, Y. Wang, A. Sowmya, F. Chen, "Efficient Inference for Nonparametric Hawkes Processes Using Auxiliary Latent Variables", Journal of Machine Learning Research. [pdf][code]

  19. S. Luo, F. Zhou, L. Azizi, M. Sugiyama, "Learning Joint Intensity in a Multivariate Poisson Process on Statistical Manifolds", NeurIPS 2020. [pdf]

  20. F. Zhou*, Z. Li, X. Fan, Y. Wang, A. Sowmya, F. Chen, "Fast Multi-resolution Segmentation for Nonstationary Hawkes Process Using Cumulants", International Journal of Data Science and Analytics. [pdf]

  21. F. Zhou, "Generalized Hawkes Process: Nonparametric and Nonstationary", Ph.D. Thesis. [pdf]

  22. F. Zhou, Y. Zhang, Z. Li, X. Fan, Y. Wang, A. Sowmya, F. Chen, "Hawkes Process with Stochastic Triggering Kernel", PAKDD 2019. [pdf]

  23. F. Zhou, Z. Li, X. Fan, Y. Wang, A. Sowmya, F. Chen, "A Refined MISD Algorithm Based on Gaussian Process Regression", PAKDD 2018. [pdf]

  24. J. Cheng*, Q. Wang*, F. Zhou, L. Li, W. Sun, S. Chen, Y. Dai, Y. Fang, L. Yan, "Development of Electromagnetic Forming NbTi Superconducting Joint", IEEE Transactions on Applied Superconductivity. [pdf]

  25. J. Cheng, F. Zhou, L. Li, C. Cui, W. Sun, Y. Dai, Y. Fang, "Fabrication of NbTi Superconducting Joint by Electromagnetic Forming Method", IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, 2015. [pdf]

  26. J. Cheng*, L. Li, F. Zhou, J. Liu, C. Cui, X. Hu, Y. Dai, L. Yan, S. Cheng, Y. Li, "Contact Resistance Properties of Cold-pressing Superconducting Joints", IEEE Transactions on Applied Superconductivity. [pdf]

  27. F. Zhou*, J. Cheng, Y. Xu, S. Song, Y. Dai, Q. Wang*, "Investigation of Orthogonal Experiment for Fabrication of A Soldering Joint for A 4-T HTS Coil", IEEE Transactions on Applied Superconductivity. [pdf]

  28. F. Zhou*, J. Cheng, Y. Dai, Q. Wang, L. Yan, "Numerical Simulation of Mold Shape’s Influence on NbTi Cold-pressing Superconducting Joint", Physica C: Superconductivity. [pdf]

  29. J. Liu*, J. Cheng, F. Zhou, Q. Wang*, K. Chang, X. Li, "Electrical Properties of Cold-pressing Welded NbTi Persistent Joints", Cryogenics. [pdf]

  30. F. Zhou*, J. Cheng, J. Liu, Y. Dai, Q. Wang*, N. Xiao, L. Yan, "Numerical Simulation of NbTi Superconducting Joint with Cold-pressing Welding Technology", IEEE Transactions on Applied Superconductivity. [pdf]