Weihuang Wu

Title: Weihuang Wu and an Innovation in Illegal Fishing Enforcement.

Introduction

Weihuang Wu is an inventor associated with Wuhan University of Technology in Wuhan, China. His patent work addresses the use of data-driven methods to support decisions about illegal fishing events.

Latest Patents

Wu is associated with one patent, titled “Method and Apparatus for Penalty Prediction and Disposal Decision of Illegal Fishing Events.” The invention processes a fishing event and historical cases into sentence vectors, then uses cosine similarity to identify the most similar case. A penalty prediction model, trained on historical data and refined through subtree pruning with a cross-validation-determined threshold, estimates a penalty amount. The system uses the similarity and predicted amount to issue graded control instructions, ranging from warnings to cutting non-essential shipboard equipment or dispatching law enforcement vessels. The approach is intended to make illegal-fishing enforcement more automated, consistent, and efficient.

Career Highlights

Wu’s documented patent contribution focuses on applying machine learning and historical case analysis to enforcement decisions. The available information identifies Wuhan University of Technology as his institutional affiliation.

Collaborations

Wu’s listed coworkers include Hongchu Yu and Yuhao Xiao. The provided information does not specify their roles in the patent or the nature of their collaboration.

Conclusion

Weihuang Wu’s patent presents a data-informed approach to predicting penalties and selecting enforcement responses for illegal fishing, connecting computational analysis with practical maritime oversight.