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Feng Zhou 0011
Person information
- affiliation: University of New South Wales, Sydney, NSW, Australia
- affiliation: Data61, CSIRO, Alexandria, Australia
Other persons with the same name
- Feng Zhou — disambiguation page
- Feng Zhou 0001
— Xidian University, Ministry Key Laboratory of Electronic Information Countermeasure and Simulation, Xi'an, China
- Feng Zhou 0002
- Feng Zhou 0003
- Feng Zhou 0004
- Feng Zhou 0005
- Feng Zhou 0006
- Feng Zhou 0007
- Feng Zhou 0008
- Feng Zhou 0009
- Feng Zhou 0010
- Feng Zhou 0012
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2020 – today
- 2024
- [c13]Yixuan Zhang, Boyu Li, Zenan Ling, Feng Zhou:
Mitigating Label Bias in Machine Learning: Fairness through Confident Learning. AAAI 2024: 16917-16925 - [c12]Zizhuo Meng, Boyu Li, Xuhui Fan, Zhidong Li, Yang Wang, Fang Chen, Feng Zhou:
TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes. ECAI 2024: 810-817 - [c11]Zenan Ling, Longbo Li, Zhanbo Feng, Yixuan Zhang, Feng Zhou, Robert C. Qiu, Zhenyu Liao:
Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures. ICML 2024 - [c10]Zizhuo Meng
Interpretable Transformer Hawkes Processes: Unveiling Complex Interactions in Social Networks. KDD 2024: 2200-2211 - [i20]Zenan Ling, Longbo Li, Zhanbo Feng, Yixuan Zhang, Feng Zhou, Robert C. Qiu, Zhenyu Liao:
Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures. CoRR abs/2402.02697 (2024) - [i19]Yixuan Zhang, Feng Zhou:
Bias Mitigation in Fine-tuning Pre-trained Models for Enhanced Fairness and Efficiency. CoRR abs/2403.00625 (2024) - [i18]Zizhuo Meng, Ke Wan, Yadong Huang, Zhidong Li, Yang Wang, Feng Zhou:
Interpretable Transformer Hawkes Processes: Unveiling Complex Interactions in Social Networks. CoRR abs/2405.16059 (2024) - [i17]Zizhuo Meng, Boyu Li, Xuhui Fan, Zhidong Li, Yang Wang, Fang Chen, Feng Zhou:
TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes. CoRR abs/2407.16161 (2024) - [i16]Hui Chen, Hengyu Liu, Yaqiong Li, Xuhui Fan, Zhilin Zhao, Feng Zhou, Christopher John Quinn, Longbing Cao:
Federated Neural Nonparametric Point Processes. CoRR abs/2410.05637 (2024) - [i15]Junchao Lin, Zenan Ling, Zhanbo Feng, Feng Zhou, Jingwen Xu, Robert C. Qiu:
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks. CoRR abs/2410.08524 (2024) - 2023
- [j4]Feng Zhou, Quyu Kong, Zhijie Deng, Fengxiang He, Peng Cui, Jun Zhu:
Heterogeneous multi-task Gaussian Cox processes. Mach. Learn. 112(12): 5105-5134 (2023) - [c9]Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen:
Fair Representation Learning with Unreliable Labels. AISTATS 2023: 4655-4667 - [c8]Yixuan Zhang, Quyu Kong, Feng Zhou:
Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes. NeurIPS 2023 - [c7]Yongli Mou
pFedV: Mitigating Feature Distribution Skewness via Personalized Federated Learning with Variational Distribution Constraints. PAKDD (2) 2023: 283-294 - [i14]Feng Zhou, Quyu Kong, Zhijie Deng, Fengxiang He, Peng Cui, Jun Zhu:
Heterogeneous Multi-Task Gaussian Cox Processes. CoRR abs/2308.15364 (2023) - [i13]Zhanbo Feng, Zenan Ling, Ci Gong, Feng Zhou, Jie Li, Robert C. Qiu:
Zero-shot Inversion Process for Image Attribute Editing with Diffusion Models. CoRR abs/2308.15854 (2023) - [i12]Yixuan Zhang, Quyu Kong, Feng Zhou:
Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes. CoRR abs/2310.05485 (2023) - [i11]Yixuan Zhang, Boyu Li, Zenan Ling, Feng Zhou:
Mitigating Label Bias in Machine Learning: Fairness through Confident Learning. CoRR abs/2312.08749 (2023) - 2022
- [j3]Feng Zhou, Quyu Kong, Zhijie Deng, Jichao Kan, Yixuan Zhang, Cheng Feng, Jun Zhu:
Efficient Inference for Dynamic Flexible Interactions of Neural Populations. J. Mach. Learn. Res. 23: 211:1-211:49 (2022) - [c6]Zhijie Deng, Feng Zhou, Jun Zhu:
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning. NeurIPS 2022 - [i10]Zhijie Deng, Feng Zhou, Jianfei Chen, Guoqiang Wu, Jun Zhu:
Deep Ensemble as a Gaussian Process Approximate Posterior. CoRR abs/2205.00163 (2022) - [i9]Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen:
De-biased Representation Learning for Fairness with Unreliable Labels. CoRR abs/2208.00651 (2022) - [i8]Zhijie Deng, Feng Zhou, Jun Zhu:
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning. CoRR abs/2210.12642 (2022) - 2021
- [j2]Feng Zhou, Simon Luo
Efficient EM-variational inference for nonparametric Hawkes process. Stat. Comput. 31(4): 46 (2021) - [c5]Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen:
Bias-tolerant Fair Classification. ACML 2021: 840-855 - [c4]Feng Zhou, Yixuan Zhang, Jun Zhu:
Efficient Inference of Flexible Interaction in Spiking-neuron Networks. ICLR 2021 - [c3]Xuhui Fan, Bin Li, Feng Zhou, Scott A. Sisson:
Continuous-time edge modelling using non-parametric point processes. NeurIPS 2021: 2319-2330 - [i7]Feng Zhou, Quyu Kong, Yixuan Zhang, Cheng Feng, Jun Zhu:
Nonlinear Hawkes Processes in Time-Varying System. CoRR abs/2106.04844 (2021) - [i6]Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen:
Bias-Tolerant Fair Classification. CoRR abs/2107.03207 (2021) - [i5]Shiye Lei, Zhuozhuo Tu, Leszek Rutkowski, Feng Zhou, Li Shen, Fengxiang He, Dacheng Tao:
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer. CoRR abs/2112.06281 (2021) - 2020
- [j1]Feng Zhou
Fast multi-resolution segmentation for nonstationary Hawkes process using cumulants. Int. J. Data Sci. Anal. 10(4): 321-330 (2020) - [i4]Simon Luo, Feng Zhou, Lamiae Azizi, Mahito Sugiyama:
Additive Poisson Process: Learning Intensity of Higher-Order Interaction in Stochastic Processes. CoRR abs/2006.08982 (2020) - [i3]Feng Zhou, Yixuan Zhang, Jun Zhu:
Efficient Inference of Nonparametric Interaction in Spiking-neuron Networks. CoRR abs/2006.12845 (2020)
2010 – 2019
- 2019
- [c2]Feng Zhou, Yixuan Zhang, Zhidong Li
Hawkes Process with Stochastic Triggering Kernel. PAKDD (1) 2019: 319-330 - [i2]Feng Zhou:
Efficient EM-Variational Inference for Hawkes Process. CoRR abs/1905.12251 (2019) - [i1]Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen:
Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation. CoRR abs/1910.13052 (2019) - 2018
- [c1]Feng Zhou, Zhidong Li
A Refined MISD Algorithm Based on Gaussian Process Regression. PAKDD (2) 2018: 584-596
Coauthor Index
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last updated on 2024-11-21 20:28 CET by the dblp team
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