Feng Zhou - RankMe

52 papers A* 11A 2C 1Misc 1Journal 32Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Byte-token Enhanced Language Models for Temporal Point Processes Analysis. WWW Quyu Kong, Yixuan Zhang, Yang Liu, Panrong Tong, Enqi Liu, Feng Zhou
2026	J	`jnl`	Diving into Kronecker Adapters: Component Design Matters. CoRR Jiayu Bai, Danchen Yu, Zhenyu Liao, Tianqi Hou, Feng Zhou, Robert C. Qiu, Zenan Ling
2026	A*	`conf`	Fair Bayesian Data Selection via Generalized Discrepancy Measures. AAAI Yixuan Zhang, Jiabin Luo, Zhenggang Wang, Feng Zhou, Quyu Kong
2026	J	`jnl`	Federated neural nonparametric point processes. Artif. Intell. Hui Chen, Xuhui Fan, Hengyu Liu, Yaqiong Li, Zhi-Lin Zhao, Feng Zhou, Christopher John Quinn, Longbing Cao
2025	J	`jnl`	Advances in Temporal Point Processes: Bayesian, Deep, and LLM Approaches. CoRR Feng Zhou, Quyu Kong, Yixuan Zhang
2025	J	`jnl`	Fair Bayesian Data Selection via Generalized Discrepancy Measures. CoRR Yixuan Zhang, Jiabin Luo, Zhenggang Wang, Feng Zhou, Quyu Kong
2025	A*	`conf`	Navigating Towards Fairness with Data Selection. AAAI Yixuan Zhang, Zhidong Li, Yang Wang, Fang Chen, Xuhui Fan, Feng Zhou
2025	—	`conf`	Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression. KDD (1) Junliang Lyu, Yixuan Zhang, Xiaoling Lu, Feng Zhou
2025	Misc	`conf`	Textual and Visual Prompt Fusion for Image Editing via Step-Wise Alignment. ICASSP Zhanbo Feng, Zenan Ling, Xinyu Lu, Ci Gong, Feng Zhou, Wugedele Bao, Jie Li, Fan Yang, Robert C. Qiu
2024	J	`jnl`	Bias Mitigation in Fine-tuning Pre-trained Models for Enhanced Fairness and Efficiency. CoRR Yixuan Zhang, Feng Zhou
2024	J	`jnl`	Calibrating Deep Ensemble through Functional Variational Inference. Trans. Mach. Learn. Res. Zhijie Deng, Feng Zhou, Jianfei Chen, Guoqiang Wu, Jun Zhu
2024	A*	`conf`	Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures. ICML Zenan Ling, Longbo Li, Zhanbo Feng, Yixuan Zhang, Feng Zhou, Robert C. Qiu, Zhenyu Liao
2024	J	`jnl`	Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures. CoRR Zenan Ling, Longbo Li, Zhanbo Feng, Yixuan Zhang, Feng Zhou, Robert C. Qiu, Zhenyu Liao
2024	—	`conf`	Expert-Guided Model Cultivation: CoTeaching to Resolve Abstruseness and Enhance Learning Performance. ADMA (2) Siqi Zhang, Feng Zhou, Zhidong Li, Yang Wang, Donglian Qi, Shuming Li
2024	J	`jnl`	Federated Neural Nonparametric Point Processes. CoRR Hui Chen, Hengyu Liu, Yaqiong Li, Xuhui Fan, Zhilin Zhao, Feng Zhou, Christopher John Quinn, Longbing Cao
2024	J	`jnl`	IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks. CoRR Junchao Lin, Zenan Ling, Zhanbo Feng, Feng Zhou, Jingwen Xu, Robert C. Qiu
2024	A*	`conf`	Interpretable Transformer Hawkes Processes: Unveiling Complex Interactions in Social Networks. KDD Zizhuo Meng, Ke Wan, Yadong Huang, Zhidong Li, Yang Wang, Feng Zhou
2024	J	`jnl`	Interpretable Transformer Hawkes Processes: Unveiling Complex Interactions in Social Networks. CoRR Zizhuo Meng, Ke Wan, Yadong Huang, Zhidong Li, Yang Wang, Feng Zhou
2024	A*	`conf`	Mitigating Label Bias in Machine Learning: Fairness through Confident Learning. AAAI Yixuan Zhang, Boyu Li, Zenan Ling, Feng Zhou
2024	J	`jnl`	Navigating Towards Fairness with Data Selection. CoRR Yixuan Zhang, Zhidong Li, Yang Wang, Fang Chen, Xuhui Fan, Feng Zhou
2024	A*	`conf`	Nonstationary Sparse Spectral Permanental Process. NeurIPS Zicheng Sun, Yixuan Zhang, Zenan Ling, Xuhui Fan, Feng Zhou
2024	J	`jnl`	Nonstationary Sparse Spectral Permanental Process. CoRR Zicheng Sun, Yixuan Zhang, Zenan Ling, Xuhui Fan, Feng Zhou
2024	J	`jnl`	Series-to-Series Diffusion Bridge Model. CoRR Hao Yang, Zhanbo Feng, Feng Zhou, Robert C. Qiu, Zenan Ling
2024	A	`conf`	TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes. ECAI Zizhuo Meng, Boyu Li, Xuhui Fan, Zhidong Li, Yang Wang, Fang Chen, Feng Zhou
2024	J	`jnl`	TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes. CoRR Zizhuo Meng, Boyu Li, Xuhui Fan, Zhidong Li, Yang Wang, Fang Chen, Feng Zhou
2023	A	`conf`	Fair Representation Learning with Unreliable Labels. AISTATS Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen
2023	J	`jnl`	Heterogeneous Multi-Task Gaussian Cox Processes. CoRR Feng Zhou, Quyu Kong, Zhijie Deng, Fengxiang He, Peng Cui, Jun Zhu
2023	J	`jnl`	Heterogeneous multi-task Gaussian Cox processes. Mach. Learn. Feng Zhou, Quyu Kong, Zhijie Deng, Fengxiang He, Peng Cui, Jun Zhu
2023	A*	`conf`	Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes. NeurIPS Yixuan Zhang, Quyu Kong, Feng Zhou
2023	J	`jnl`	Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes. CoRR Yixuan Zhang, Quyu Kong, Feng Zhou
2023	J	`jnl`	Mitigating Label Bias in Machine Learning: Fairness through Confident Learning. CoRR Yixuan Zhang, Boyu Li, Zenan Ling, Feng Zhou
2023	J	`jnl`	Zero-shot Inversion Process for Image Attribute Editing with Diffusion Models. CoRR Zhanbo Feng, Zenan Ling, Ci Gong, Feng Zhou, Jie Li, Robert C. Qiu
2023	—	`conf`	pFedV: Mitigating Feature Distribution Skewness via Personalized Federated Learning with Variational Distribution Constraints. PAKDD (2) Yongli Mou, Jiahui Geng, Feng Zhou, Oya Beyan, Chunming Rong, Stefan Decker
2022	A*	`conf`	Accelerated Linearized Laplace Approximation for Bayesian Deep Learning. NeurIPS Zhijie Deng, Feng Zhou, Jun Zhu
2022	J	`jnl`	Accelerated Linearized Laplace Approximation for Bayesian Deep Learning. CoRR Zhijie Deng, Feng Zhou, Jun Zhu
2022	J	`jnl`	De-biased Representation Learning for Fairness with Unreliable Labels. CoRR Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen
2022	J	`jnl`	Deep Ensemble as a Gaussian Process Approximate Posterior. CoRR Zhijie Deng, Feng Zhou, Jianfei Chen, Guoqiang Wu, Jun Zhu
2022	J	`jnl`	Efficient Inference for Dynamic Flexible Interactions of Neural Populations. J. Mach. Learn. Res. Feng Zhou, Quyu Kong, Zhijie Deng, Jichao Kan, Yixuan Zhang, Cheng Feng, Jun Zhu
2021	J	`jnl`	Bias-Tolerant Fair Classification. CoRR Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen
2021	C	`conf`	Bias-tolerant Fair Classification. ACML Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen
2021	A*	`conf`	Continuous-time edge modelling using non-parametric point processes. NeurIPS Xuhui Fan, Bin Li, Feng Zhou, Scott A. Sisson
2021	J	`jnl`	Efficient EM-variational inference for nonparametric Hawkes process. Stat. Comput. Feng Zhou, Simon Luo, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen
2021	A*	`conf`	Efficient Inference of Flexible Interaction in Spiking-neuron Networks. ICLR Feng Zhou, Yixuan Zhang, Jun Zhu
2021	J	`jnl`	Nonlinear Hawkes Processes in Time-Varying System. CoRR Feng Zhou, Quyu Kong, Yixuan Zhang, Cheng Feng, Jun Zhu
2021	J	`jnl`	Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer. CoRR Shiye Lei, Zhuozhuo Tu, Leszek Rutkowski, Feng Zhou, Li Shen, Fengxiang He, Dacheng Tao
2020	J	`jnl`	Additive Poisson Process: Learning Intensity of Higher-Order Interaction in Stochastic Processes. CoRR Simon Luo, Feng Zhou, Lamiae Azizi, Mahito Sugiyama
2020	J	`jnl`	Efficient Inference of Nonparametric Interaction in Spiking-neuron Networks. CoRR Feng Zhou, Yixuan Zhang, Jun Zhu
2020	J	`jnl`	Fast multi-resolution segmentation for nonstationary Hawkes process using cumulants. Int. J. Data Sci. Anal. Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen
2019	J	`jnl`	Efficient EM-Variational Inference for Hawkes Process. CoRR Feng Zhou
2019	—	`conf`	Hawkes Process with Stochastic Triggering Kernel. PAKDD (1) Feng Zhou, Yixuan Zhang, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen
2019	J	`jnl`	Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation. CoRR Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen
2018	—	`conf`	A Refined MISD Algorithm Based on Gaussian Process Regression. PAKDD (2) Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen