MDI: A Debiasing Method Combining Unbiased and Biased Data. - Han Zhao; Qing Cui; Xinyu Li; Rongzhou Bao; Longfei Li; Jun Zhou 011; Zhehao Liu; Jinghua Feng (SIGIR, 2023)

A complementary and contrastive network for stimulus segmentation and generalization. - Na Ta 009; Haipeng Chen 002; Yingda Lyu; Xue Wang; Zenan Shi; Zhehao Liu (Image Vis. Comput., 2023)

A Multi-Scale Object Detector Based on Coordinate and Global Information Aggregation for UAV Aerial Images. - Liming Zhou; Zhehao Liu; Hang Zhao; Yan-E. Hou; Yang Liu 055; Xianyu Zuo; Lanxue Dang (Remote. Sens., 2023)

MHLDet: A Multi-Scale and High-Precision Lightweight Object Detector Based on Large Receptive Field and Attention Mechanism for Remote Sensing Images. - Liming Zhou; Hang Zhao; Zhehao Liu; Kun Cai; Yang Liu 055; Xianyu Zuo (Remote. Sens., 2023)

CRML-Net: Cross-Modal Reasoning and Multi-Task Learning Network for tooth image segmentation. - Yingda Lyu; Zhehao Liu; Yingxin Zhang; Haipeng Chen 002; Zhimin Xu (Comput. Vis. Image Underst., 2024)

A Lightweight Aerial Image Object Detector Based on Mask Information Enhancement. - Liming Zhou; Shuai Zhao; Zhehao Liu; Wanjun Zhang; Baojun Qiao; Yang Liu 055 (IEEE Trans. Instrum. Meas., 2025)