User profiles for Shaofen Zou

Shaofeng Zhou

- Verified email at nuc.edu.cn - Cited by 2014

Shaofeng Zou

- Verified email at asu.edu - Cited by 1672

Upgrading earth-abundant biomass into three-dimensional carbon materials for energy and environmental applications

S Zhou, L Zhou, Y Zhang, J Sun, J Wen… - Journal of Materials …, 2019 - pubs.rsc.org
Shaofeng Zhou Shaofeng Zhou is currently a postdoctoral researcher in the School of
Environmental Science and Technology at Guangdong University of Technology. He received his …

Society of cardiovascular anesthesiologists clinical practice update for management of acute kidney injury associated with cardiac surgery

…, AA Fox, L Shore-Lesserson, S Zhou… - Anesthesia & …, 2022 - journals.lww.com
Cardiac surgery-associated acute kidney injury (CS-AKI) is common and is associated with
increased risk for postoperative morbidity and mortality. Our recent survey of the Society of …

Global analysis of an SIR epidemic model with infection age and saturated incidence

Y Chen, S Zou, J Yang - Nonlinear Analysis: Real World Applications, 2016 - Elsevier
Epidemic models with infection age have been extensively studied in the recent decades.
Unfortunately, the incidence rate used is the bilinear one. As incidence rate plays an important …

Online robust reinforcement learning with model uncertainty

Y Wang, S Zou - Advances in Neural Information Processing …, 2021 - proceedings.neurips.cc
Robust reinforcement learning (RL) is to find a policy that optimizes the worst-case performance
over an uncertainty set of MDPs. In this paper, we focus on model-free robust RL, where …

Policy gradient method for robust reinforcement learning

Y Wang, S Zou - International conference on machine …, 2022 - proceedings.mlr.press
This paper develops the first policy gradient method with global optimality guarantee and
complexity analysis for robust reinforcement learning under model mismatch. Robust …

Effect of carbon fiber reinforcement on the mechanical and tribological properties of polyamide6/polyphenylene sulfide composites

S Zhou, Q Zhang, C Wu, J Huang - Materials & Design, 2013 - Elsevier
Polymer-based composite reinforced by fibrous filler has aroused wide concern in the field
of tribology and material science. In this manuscript, the effect of carbon fiber (CF) as filler on …

[PDF][PDF] Research progress in toughening modification of polybenzoxazine

S Zhao, L Pei, H Li, Y Ma, Q Lian, S Zhou… - Engineered …, 2020 - espublisher.com
Benzoxazine is a new kind of phenolic resin developed in recent years. It possesses a lot of
interesting properties including flexible molecular design, nearly zero curing shrinkage and …

Finite-sample analysis for sarsa with linear function approximation

S Zou, T Xu, Y Liang - Advances in neural information …, 2019 - proceedings.neurips.cc
SARSA is an on-policy algorithm to learn a Markov decision process policy in reinforcement
learning. We investigate the SARSA algorithm with linear function approximation under the …

Tightening mutual information-based bounds on generalization error

Y Bu, S Zou, VV Veeravalli - IEEE Journal on Selected Areas in …, 2020 - ieeexplore.ieee.org
An information-theoretic upper bound on the generalization error of supervised learning
algorithms is derived. The bound is constructed in terms of the mutual information between each …

Sequential (quickest) change detection: Classical results and new directions

L Xie, S Zou, Y Xie, VV Veeravalli - IEEE Journal on Selected …, 2021 - ieeexplore.ieee.org
Online detection of changes in stochastic systems, referred to as sequential change detection
or quickest change detection, is an important research topic in statistics, signal processing, …