Xintong Yan

According to our database, Xintong Yan authored at least 12 papers between 2019 and 2026.

Collaborative distances:

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

2026

The role of vehicle kinematic volatilities in expressway crash prediction and analysis: A two-part framework from road features to crashes.

Pengcheng Qin, Haoze Chen, Zhiming Fang, Jie He, Xintong Yan, Changjian Zhang

Reliab. Eng. Syst. Saf., 2026

Identification of freeway crash hotspots: A novel methodological framework using non-crash data for identification and errors reduction.

Yuntao Ye, Jie He, Changjian Zhang, Xintong Yan, Xiazhi Zhang, Pengcheng Qin, Zhiming Fang

Eng. Appl. Artif. Intell., 2026

2025

CrosswalkNet: An Optimized Deep Learning Framework for Pedestrian Crosswalk Detection in Aerial Images with High-Performance Computing.

Zubin Bhuyan, Yuanchang Xie, AngkeaReach Rith, Xintong Yan, Nasko Apostolov, Jimi Oke, Chengbo Ai

CoRR, June, 2025

2024

Joint-individual fusion structure with fusion attention module for multi-modal skin cancer classification.

Peng Tang, Xintong Yan, Yang Nan, Xiaobin Hu, Bjoern H. Menze, Sebastian Krammer, Tobias Lasser

Pattern Recognit., 2024

Driving risk prediction of urban arterial and collector roads using multi-dimensional real-time data.

Xintong Yan, Jie He, Guanhe Wu, Chenwei Wang, Changjian Zhang, Yuntao Ye

Eng. Appl. Artif. Intell., 2024

2023

Vehicle trajectory extraction at the exit areas of urban freeways based on a novel composite algorithms framework.

Ziyang Liu, Jie He, Changjian Zhang, Xintong Yan, Chenwei Wang, Boshuai Qiao

J. Intell. Transp. Syst., May, 2023

2022

A Proactive Recognition System for Detecting Commercial Vehicle Driver's Distracted Behavior.

Xintong Yan, Jie He, Guanhe Wu, Changjian Zhang, Chenwei Wang

Sensors, 2022

FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification.

Peng Tang, Xintong Yan, Yang Nan, Shao Xiang, Sebastian Krammer, Tobias Lasser

Medical Image Anal., 2022

2021

AFLN-DGCL: Adaptive Feature Learning Network with Difficulty-Guided Curriculum Learning for skin lesion segmentation.

Peng Tang, Xintong Yan, Qiaokang Liang, Dan Zhang

Appl. Soft Comput., 2021

2020

GP-CNN-DTEL: Global-Part CNN Model With Data-Transformed Ensemble Learning for Skin Lesion Classification.

Peng Tang, Qiaokang Liang, Xintong Yan, Shao Xiang, Dan Zhang

IEEE J. Biomed. Health Informatics, 2020

2019

Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging.

Peng Tang, Qiaokang Liang, Xintong Yan, Shao Xiang, Wei Sun, Dan Zhang, Gianmarc Coppola

Comput. Methods Programs Biomed., 2019

Multi-proportion channel ensemble model for retinal vessel segmentation.

Peng Tang, Qiaokang Liang, Xintong Yan, Dan Zhang, Gianmarc Coppola, Wei Sun

Comput. Biol. Medicine, 2019