Minghao Gu

According to our database, Minghao Gu authored at least 14 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Surface Quality Characterization, Learning, and Prediction for 3D Printed 2D Free-Form Products Through Dimensional Reduction.

Minghao Gu, Cesar Ruiz, Qiang Huang

IEEE Trans Autom. Sci. Eng., 2026

2025

Feature Space Adaptation for Robust Model Fine-Tuning.

Peng Wang, Minghao Gu, Qiang Huang

CoRR, October, 2025

Gomoku game recognition and localisation using image processing and deep learning.

Huanxi Chen, Wei Li, Yong Shen, Xiang Ding, Shunbin Li, Minghao Gu, Dexin Sun, Zhenhua Tan, Guochao Wang

Int. J. Inf. Commun. Technol., 2025

A Novel Multi-Port Active Filtered DC/DC Converter for Power Grid.

Shuxin Zhang, Minghao Gu, Qi Ma, Naishi Liang, Hongpeng Liu

Proceedings of the 51st Annual Conference of the IEEE Industrial Electronics Society, 2025

Identification of Latent Invariant Surface Quality Patterns via Spatial Stochastic Process Deformation.

Minghao Gu, Qiang Huang

Proceedings of the 21st IEEE International Conference on Automation Science and Engineering, 2025

2024

Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection.

Bo Qu, Zhurong Wang, Minghao Gu, Daisuke Yagi, Yang Zhao, Yinan Shan, Frank Zahradnik

Proceedings of the IEEE International Conference on Data Mining, 2024

Surface Quality Characterization and Modeling for Printed 2D Products Using Printing Primitives.

Minghao Gu, Cesar Ruiz, Qiang Huang

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023

Variational Hybrid Monte Carlo for Efficient Multi-Modal Data Sampling.

Shiliang Sun, Jing Zhao, Minghao Gu, Shanhu Wang

Entropy, April, 2023

2020

Online anomaly detection with sparse Gaussian processes.

Minghao Gu, Jingjing Fei, Shiliang Sun

Neurocomputing, 2020

Neural Langevin Dynamical Sampling.

Minghao Gu, Shiliang Sun

IEEE Access, 2020

2019

Dynamical Sampling with Langevin Normalization Flows.

Minghao Gu, Shiliang Sun, Yan Liu

Entropy, 2019

Variational Langevin Hamiltonian Monte Carlo for Distant Multi-modal Sampling.

Minghao Gu, Shiliang Sun

CoRR, 2019

2018

Building neural network language model with POS-based negative sampling and stochastic conjugate gradient descent.

Jin Liu, Li Lin, Haoliang Ren, Minghao Gu, Jin Wang, Geumran Youn, Jeong-Uk Kim

Soft Comput., 2018

2016

路网中基于地理位置和区域封闭性的最短路径的查询算法 (Shortest Path Searching Algorithm Based on Geographical Coordinates and Closed Attribute in Road Network).

Minghao Gu, Ming Xu

计算机科学, 2016