Feng Zhou

Associate Professor@Renmin University of China·中国·OpenReview

研究方向

point process · Poisson process · Hawkes process · Bayesian · Gaussian process · MCMC · variational inference · latent variable model · EM · fairness · federated learning · meta learning · few shot learning

7.0

TPP-SD: Accelerating Transformer Point Process Sampling with Speculative Decoding

NeurIPS 2025Poster

通讯

6.4

Personalized Bayesian Federated Learning with Wasserstein Barycenter Aggregation

NeurIPS 2025Poster

5.8

Series-to-Series Diffusion Bridge Model

ICLR 2025Rejected

三作

4.4

IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks

ICLR 2025Withdrawn

3.7

Dual-level Bias Mitigation via Fairness-guided Distribution Discrepancy

合作者 (20)

Feng Zhou

Long-range Modeling and Processing of Multimodal Event Sequences

Efficient Multivariate Temporal Point Process via Monotone Alternating Splines

SpecTr-GBV: Multi-Draft Block Verification Accelerating Speculative Decoding

TPP-SD: Accelerating Transformer Point Process Sampling with Speculative Decoding

Personalized Bayesian Federated Learning with Wasserstein Barycenter Aggregation

Series-to-Series Diffusion Bridge Model

IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks

Dual-level Bias Mitigation via Fairness-guided Distribution Discrepancy