π-Splicer: Perceiving Accurate CSI Phases with Commodity WiFi Devices. - Hongzi Zhu; Yiwei Zhuo; Qinghao Liu; Shan Chang (IEEE Trans. Mob. Comput., 2018)

Rethinking Convolutional Features in Correlation Filter Based Tracking. - Fang Liang; Wenjun Peng; Qinghao Liu; Haijin Wang (CoRR, 2019)

HLSTM: Heterogeneous Long Short-Term Memory Network for Large-Scale InSAR Ground Subsidence Prediction. - Qinghao Liu; Yonghong Zhang; Jujie Wei; Hongan Wu; Min Deng (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Differentiable Automatic Data Augmentation by Proximal Update for Medical Image Segmentation. - Wenxuan He; Min Liu 008; Yi Tang; Qinghao Liu; Yaonan Wang 001 (IEEE CAA J. Autom. Sinica, 2022)

An empirical study of fault diagnosis methods of a dissolved oxygen sensor based on ResNet-50. - Pu Yang; Qinghao Liu; Boning Wang; Weiran Li; Zhenbo Li; Ming Sun (Int. J. Sens. Networks, 2022)

Trajectory Study Based on Hybrid A* Search Algorithm on Vehicle Turnaround in Autonomous Driving. - Yuyang Zhang; Jiaxu Liu; Junliang Feng; Mingni Huang; Qinghao Liu; Bowen Zhou (ICISCAE, 2023)

Subpixel Mapping for Remote Sensing Imagery Based on Spatial Adaptive Attraction Model and Conditional Random Fields. - Yujia Chen 002; Cheng Huang; Cheng Yang; Junhuan Peng; Jun Zhang; Yuxian Wang; Zhengxue Yao; Guang Chen; Wenhua Yu; Qinghao Liu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

3D Soma Detection in Large-Scale Whole Brain Images via a Two-Stage Neural Network. - Xiaodan Wei; Qinghao Liu; Min Liu 008; Yaonan Wang 001; Erik Meijering (IEEE Trans. Medical Imaging, 2023)

A 825 MHz 2.83 µW -70 dBm Sensitivity Wake-up Receiver with Resonant Noise Matching. - Qinghao Liu; Chuanshi Yang; Yange Wang; Chun-Huat Heng; Yuanjin Zheng (ISCAS, 2024)

CFANet: Context fusing attentional network for preoperative CT image segmentation in robotic surgery. - Yao Lin; Jiazheng Wang; Qinghao Liu; Kang Zhang; Min Liu 008; Yaonan Wang 001 (Comput. Biol. Medicine, 2024)

Domain knowledge-guided intelligent recognition of multi-type potential landslides. - Qinghao Liu; Huimin Liu; Qing Lan; Kui Li; Cheng Huang; Xuexi Yang (Knowl. Based Syst., 2025)

DAUNet: A deformable aggregation UNet for multi-organ 3D medical image segmentation. - Qinghao Liu; Min Liu; Yuehao Zhu; Licheng Liu; Zhe Zhang; Yaonan Wang (Pattern Recognit. Lett., 2025)

Reconsider the Template Mesh in Deep Learning-based Mesh Reconstruction. - Fengting Zhang; Boxu Liang; Qinghao Liu; Min Liu; Xiang Chen; Yaonan Wang (CoRR, 2025)