most citedHigh-concurrency Custom-build Relational Database System's design and SQL parser design based on Turing-complete automata

2 citations · 5 across the 6 of their papers we have counts for

collaborators

6 papers

cs.NE2024

An Attempt to Devise a Pairwise Ising-Type Maximum Entropy Model Integrated Cost Function for Optimizing SNN Deployment

Wanhong Huang

Spiking Neural Networks (SNNs) emulate the spiking behavior of biological neurons and are typically deployed on distributed-memory neuromorphic hardware. The deployment of a SNN us…

cs.CV2020★ 1 cited

An improved helmet detection method for YOLOv3 on an unbalanced dataset

Rui Geng, Yixuan Ma, Wanhong Huang

The YOLOv3 target detection algorithm is widely used in industry due to its high speed and high accuracy, but it has some limitations, such as the accuracy degradation of unbalance…

cs.CL2020

Machine learning approach of Japanese composition scoring and writing aided system's design

Wanhong Huang

Automatic scoring system is extremely complex for any language. Because natural language itself is a complex model. When we evaluate articles generated by natural language, we need…

cs.DB2020★ 2 cited

High-concurrency Custom-build Relational Database System's design and SQL parser design based on Turing-complete automata

WanHong Huang

Database system is an indispensable part of software projects. It plays an important role in data organization and storage. Its performance and efficiency are directly related to t…

cs.CV2020★ 2 cited

Spine Landmark Localization with combining of Heatmap Regression and Direct Coordinate Regression

Wanhong Huang, Chunxi Yang, TianHong Hou

Landmark Localization plays a very important role in processing medical images as well as in disease identification. However, In medical field, it's a challenging task because of t…

cs.CV2020

Approaches of large-scale images recognition with more than 50,000 categoris

Wanhong Huang, Rui Geng

Though current CV models have been able to achieve high levels of accuracy on small-scale images classification dataset with hundreds or thousands of categories, many models become…