Ming Gao

According to our database, Ming Gao authored at least 12 papers between 2018 and 2026.

Collaborative distances:

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

2026

Criticality Assessment Model for Intelligent Vehicle Test Scenario Based on Interactive Field Feature and Hypergraph Learning.

Yinzi Huang, Bing Zhu, Jian Zhao, Jiayi Han, Dongjian Song, Peixing Zhang, Shizheng Jia, Ming Gao

IEEE Trans. Intell. Transp. Syst., April, 2026

MOAT: Multi-Scale Group Interaction Transformer for Trajectory Prediction in Crowded Scenes.

Ming Gao, Tong Wang, Yinlin Wang, Guotao Xie, Chi Ding, Yougang Bian

IEEE Trans. Intell. Transp. Syst., January, 2026

LVMSOD: Lightweight Visual Mamba Small Object Detection for Autonomous Vehicles.

Yao Fu, Ming Gao, Yinlin Wang, Xin Deng, Yang Li, Manjiang Hu, Yougang Bian, Rongjun Ding

IEEE Internet Things J., 2026

2025

Hybrid Matching Teacher Framework for Cross-Domain Visual Detection Transformer.

Xiaowei Wang, Jinhui Suo, Yang Li, Ming Gao, Peiwen Jiang, Pengwen Dai

IEEE Trans. Intell. Transp. Syst., September, 2025

DiffWT: Diffusion-Based Pedestrian Trajectory Prediction With Time-Frequency Wavelet Transform.

Xin Chen, Li Zeng, Ming Gao, Chi Ding, Yougang Bian

IEEE Internet Things J., March, 2025

2024

Progressive Critical Region Transfer for Cross-Domain Visual Object Detection.

Xiaowei Wang, Peiwen Jiang, Yang Li, Manjiang Hu, Ming Gao, Dongpu Cao, Rongjun Ding

IEEE Trans. Intell. Transp. Syst., August, 2024

PPF-Det: Point-Pixel Fusion for Multi-Modal 3D Object Detection.

Guotao Xie, Zhiyuan Chen, Ming Gao, Manjiang Hu, Xiaohui Qin

IEEE Trans. Intell. Transp. Syst., June, 2024

An Enhanced Detector for Vulnerable Road Users Using Infrastructure-Sensors-Enabled Device.

Jian Shi, Dongxian Sun, Minh Kieu, Baicang Guo, Ming Gao

Sensors, 2024

Dynamic multi-scale spatial-temporal graph convolutional network for traffic flow prediction.

Ming Gao, Zhuoran Du, Hongmao Qin, Wei Wang, Guangyin Jin, Guotao Xie

Knowl. Based Syst., 2024

2022

End to End Autonomous Driving Behavior Prediction Based on Deep Convolution Neural Network.

Baicang Guo, Yin-lin Wang, Ming Gao, Jia Lu, Guang-sheng Han, Li-bin Zhang

Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2022

2020

Manifold Siamese Network: A Novel Visual Tracking ConvNet for Autonomous Vehicles.

Ming Gao, Lisheng Jin, Yuying Jiang, Baicang Guo

IEEE Trans. Intell. Transp. Syst., 2020

2018

Study on the Impact Degrees of Several Driving Behaviors When Driving While Performing Secondary Tasks.

Lisheng Jin, Baicang Guo, Yuying Jiang, Fangrong Wang, Xianyi Xie, Ming Gao

IEEE Access, 2018