One-Stage Deep Channels Attention Network for Remote Sensing Images Object Detection. - Jinyun Tang; Wenzhen Zhang; Guixian Zhang; Rongjiao Liang; Guangquan Lu (APWeb/WAIM (2), 2022)

Bilateral-Branch Network for Imbalanced Visual Regression. - Rongjiao Liang; Guixian Zhang; Kui Zhang; Zhi Lei; Shichao Zhang 001 (ICTAI, 2022)

Rumour Detection on Social Media with Long-Tail Strategy. - Guixian Zhang; Rongjiao Liang; Zhongyi Yu; Shichao Zhang 001 (IJCNN, 2022)

A Multi-level Mesh Mutual Attention Model for Visual Question Answering. - Zhi Lei; Guixian Zhang; Lijuan Wu; Kui Zhang; Rongjiao Liang (Data Sci. Eng., 2022)

Multi-branch Residual Fusion Network for Imbalanced Visual Regression. - Zhirong Huang; Shichao Zhang 001; Debo Cheng; Rongjiao Liang; Mengqi Jiang (APWeb-WAIM (1), 2023)

Improving Dialogue State Tracking with Interactive Acts Attention and Attention Divergence Loss Function. - Jingjing Lan; Rongjiao Liang; Hai Liu 006; Chaobo He; Tianyong Hao (NCAA (3), 2024)

Nonlocal Hybrid Network for Long-tailed Image Classification. - Rongjiao Liang; Shichao Zhang 001; Wenzhen Zhang; Guixian Zhang; Jinyun Tang (ACM Trans. Multim. Comput. Commun. Appl., 2024)

A new robust semi-supervised clustering method based on adaptive credibility estimation and locality preservation. - Hengdong Zhu; Rongjiao Liang; Baoshuo Kan; Enliang Yan; Fu Lee Wang; Tianyong Hao (Neurocomputing, 2025)

An Event-Aware Dual Representation Model With Mixture-of-Experts for Serious Adverse Events Prediction in Clinical Trials. - Baoshuo Kan; Teng Wang; Hengdong Zhu; Rongjiao Liang; Enliang Yan; Fu Lee Wang; Tianyong Hao (IEEE Trans. Consumer Electron., 2025)