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 …
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 …
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 …
Unfortunately, the incidence rate used is the bilinear one. As incidence rate plays an important …
Online robust reinforcement learning with model uncertainty
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 …
over an uncertainty set of MDPs. In this paper, we focus on model-free robust RL, where …
Policy gradient method for robust reinforcement learning
This paper develops the first policy gradient method with global optimality guarantee and
complexity analysis for robust reinforcement learning under model mismatch. Robust …
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
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 …
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 …
interesting properties including flexible molecular design, nearly zero curing shrinkage and …
Finite-sample analysis for sarsa with linear function approximation
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 …
learning. We investigate the SARSA algorithm with linear function approximation under the …
Tightening mutual information-based bounds on generalization error
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 …
algorithms is derived. The bound is constructed in terms of the mutual information between each …
Sequential (quickest) change detection: Classical results and new directions
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, …
or quickest change detection, is an important research topic in statistics, signal processing, …