Optimal Sensor Placement for Atmospheric Inverse Modelling. - Xinchao Liu; Kyongmin Yeo; Levente J. Klein; Youngdeok Hwang; Dzung Phan; Xiao Liu 044 (IEEE Big Data, 2022)

Regression Trees on Grassmann Manifold for Adapting Reduced-Order Models. - Xiao Liu; Xinchao Liu (CoRR, 2022)

YOLO-GW: Quickly and Accurately Detecting Pedestrians in a Foggy Traffic Environment. - Xinchao Liu; Yier Lin (Sensors, 2023)

Rapid Fog-Removal Strategies for Traffic Environments. - Xinchao Liu; Liang Hong; Yier Lin (Sensors, 2023)

Statistical Learning for Nonlinear Dynamical Systems with Applications to Aircraft-UAV Collisions. - Xinchao Liu; Xiao Liu; Tulin Kaman; Xiaohua Lu; Guang Lin 001 (Technometrics, 2023)

A Statistical Machine Learning Approach for Adapting Reduced-Order Models using Projected Gaussian Process. - Xiao Liu; Xinchao Liu (CoRR, 2024)

Unsupervised image segmentation evaluation based on feature extraction. - Zhaobin Wang; Xinchao Liu; E. Wang; Yaonan Zhang (Multim. Tools Appl., 2024)

Hyperspectral Image Classification Using Spectral-Spatial Double-Branch Attention Mechanism. - Jianfang Kang; Yaonan Zhang; Xinchao Liu; Zhongxin Cheng (Remote. Sens., 2024)

Spatiotemporal smoothing aggregation enhanced multi-scale residual deep graph convolutional networks for skeleton-based gait recognition. - Guanghai Chen; Xin Chen; Chengzhi Zheng; Junshu Wang; Xinchao Liu; Yuxing Han 001 (Appl. Intell., 2024)