Incomplete data classification with view-based decision tree

H Huang, H Wang, M Sun - Applied Soft Computing, 2020 - Elsevier
Data quality issues may bring serious problems in data analysis. For instance, missing values
could decrease the accuracy of the classification. As traditional classification approaches …

Automatic adjustment method of power flow calculation convergence for large-scale power grid based on knowledge experience and deep reinforcement learning

…, Y Huang, X Chen, S Zhang, H Huang - 2020 IEEE 4th …, 2020 - ieeexplore.ieee.org
In order to solve the problem of manpower and time cost consumption caused by strict non-convergence
of power flow in large-scale power grid calculation, an automatic adjustment …

Dynamic changes in interfacial and emulsifying properties of soy protein during fibrillation

H Zhao, B Yuan, X Xu, H Zhang, Y Li, S Yan, Y Huang - Food Hydrocolloids, 2025 - Elsevier
The fibrillation process endows food proteins with exceptional techno-functional properties;
however, these properties can be unstable owing to alterations in the structure and …

Deep Reinforcement Learning Based on Greed for the Critical Cross-Section Identification Problem

H Liu, D Yang, H Huang, X Chen, H Wang… - … of Pioneering Computer …, 2024 - Springer
The critical cross-section identification problem (CCIP) presents a significant and highly
challenging issue in power grid analysis, aiming to identify a partition of the graph into two …

An antioxidative-enhanced endoplasmic reticulum-targeted cyanine dye for efficient tumor immunotherapy

H Yang, F Li, S Jin, S Chen, L Sun, L Wei, G Xu… - Chemical Engineering …, 2024 - Elsevier
Excessive generation of reactive oxygen species (ROS) triggers intense endoplasmic reticulum
(ER) stress, emerging as a key mechanism for arousing autoimmune therapy. Therefore, …

PFKMaster: A Knowledge-Driven Flow Control System for Large-Scale Power Grid

…, H Wang, H Huang, D Yang, Y Tang, Y Huang - … Conference on Database …, 2023 - Springer
Various stability analyses of the power system are based on the results of power flow
calculation, which is not always convergent. In practice, large manual efforts are required to be …

Issp-net: An interactive spatial-spectral perception network for multimodal classification

W Ma, H Zhang, M Ma, C Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Hekai Zhang received the BS degree in electronic information science and technology from
Heilongjiang University, Harbin, China, in 2023. He is currently pursuing the MS degree with …

MUP-LIO: Mapping Uncertainty-aware Point-wise Lidar Inertial Odometry

H Yao, X Zhang, G Sun, Y Liu, X Zhang… - 2024 IEEE/RSJ …, 2024 - ieeexplore.ieee.org
This paper proposes a mapping uncertainty-aware point-wise Lidar Inertial Odometry (LIO),
which synthesizes the point-wise point-to-plane match and map refreshment into a …

Characterization of the fibrillation of pumpkin seed protein: Kinetics, structure, and fibril-forming regions

H Zhao, X Zhang, Y Lu, Y Huang, S Yan, Y Li - Food Hydrocolloids, 2025 - Elsevier
Protein fibril formed via the self-assembly of ordered cross-β sheets have attracted considerable
attention owing to their functional properties. In this study, we evaluate the fibrillation of …

Treatment of myocardial infarction with gene-modified mesenchymal stem cells in a small molecular hydrogel

Z Wu, G Chen, J Zhang, Y Hua, J Li, B Liu, A Huang… - Scientific Reports, 2017 - nature.com
The effect of transplanted rat mesenchymal stem cells (MSCs) can be reduced by
extracellular microenvironment in myocardial infarction (MI). We tested a novel small-molecular …