Minghao Yu

According to our database, Minghao Yu authored at least 16 papers between 2020 and 2026.

Collaborative distances:

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

2026

TCTR: Text-Guided Contrastive Learning with Token-Level Reconstruction Network for missing modalities in multimodal sentiment analysis.

Zhihao Yang, Qing He, Minghao Yu, Nisuo Du, Yijie Lu

Inf. Fusion, 2026

2025

Human-Humanoid Robots' Cross-Embodiment Behavior-Skill Transfer Using Decomposed Adversarial Learning From Demonstration: HOTU, a Human-Humanoid Robots' Skill Transfer Framework.

Junjia Liu, Zhuo Li, Minghao Yu, Zhipeng Dong, Sylvain Calinon, Darwin G. Caldwell, Fei Chen

IEEE Robotics Autom. Mag., March, 2025

HirMTL: Hierarchical Multi-Task Learning for dense scene understanding.

Huilan Luo, Weixia Hu, Yixiao Wei, Jianlong He, Minghao Yu

Neural Networks, 2025

Adaptive soft contrastive with mutual information for biological time series representation learning.

Minghao Yu, Qing He, Zhihao Yang, Nisuo Du

Expert Syst. Appl., 2025

Fusing temporal-frequency information with Contrast Learning on Graph Convolution Network to decoding EEG.

Minghao Yu, Qing He, Yuji Wang, Nisuo Du

Biomed. Signal Process. Control., 2025

2024

Human-Humanoid Robots Cross-Embodiment Behavior-Skill Transfer Using Decomposed Adversarial Learning from Demonstration.

Junjia Liu, Zhuo Li, Minghao Yu, Zhipeng Dong, Sylvain Calinon, Darwin G. Caldwell, Fei Chen

CoRR, 2024

Instruction-Following Long-Horizon Manipulation by LLM-Empowered Symbolic Planner.

Zhihao Li, Junjia Liu, Zhuo Li, Minghao Yu, Tao Teng, Shunbo Zhou, Miao Li, Tin Lun Lam, Fei Chen

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2024

A Deep Learning-based Grasp Pose Estimation Approach for Large-Size Deformable Objects in Clutter.

Minghao Yu, Zhuo Li, Zhihao Li, Junjia Liu, Tao Teng, Fei Chen

Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication, 2024

2023

Reaction-diffusion equation driven topology optimization of high-resolution and feature-rich structures using unstructured meshes.

Hao Li, Minghao Yu, Pierre Jolivet, Joe Alexandersen, Tsuguo Kondoh, Tiannan Hu, Kozo Furuta, Kazuhiro Izui, Shinji Nishiwaki

Adv. Eng. Softw., June, 2023

Tokenomic Model of Friend.Tech Social Platform: A Data-driven Analysis.

Kai Liu, Minghao Yu, Yang Jin, Yue Wang, Jiaqi Yan, Xiao Fan Liu

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Multi-layer information fusion based on graph convolutional network for knowledge-driven herb recommendation.

Yun Yang, Yulong Rao, Minghao Yu, Yan Kang

Neural Networks, 2022

2021

Design and Field Application of Flexible Excitation System Damping Controllers.

Tiantian Zhang, Chengxiong Mao, Jiancheng Zhang, Jie Tian, Minghao Yu, Kuayu Wu, Hongtao Xiong, Long Wu, Hongfei Yu

IEEE Trans. Ind. Electron., 2021

Reservoir hosts prediction for COVID-19 by hybrid transfer learning model.

Yun Yang, Jing Guo, Pei Wang, Yaowei Wang, Minghao Yu, Xiang Wang, Po Yang, Liang Sun

J. Biomed. Informatics, 2021

2020

Transient Atomization Modeling and Optimal Design of a Medical Air-Compressing Nebulizer.

Minghao Yu, Rui Wang, Jiafeng Yao, Kai Liu, Yuxuan Han

IEEE Access, 2020

Amplification Method of Lung Nodule Data Based on DCGAN Generation Algorithm.

Minghao Yu, Lei Cai, Liwei Gao, Jingyang Gao

Proceedings of the Data Science, 2020

Optimal Design Method of Flexible Excitation System for Improving Power System Stability.

Tiantian Zhang, Liping Cheng, Silin He, Minghao Yu, Chengxiong Mao, Dan Wang, Jiancheng Zhang, Bing Han, Zheng Tao

Proceedings of the IEEE Industry Applications Society Annual Meeting, 2020