Lightweight image super-resolution with feature cheap convolution and attention mechanism. - Xin Yang 002; Hengrui Li; Xiaochuan Li (Clust. Comput., 2022)

HIFGAN: A High-Frequency Information-Based Generative Adversarial Network for Image Super-Resolution. - Xin Yang 002; Hengrui Li; Xiaochuan Li; Tao Li 011 (ACM Trans. Multim. Comput. Commun. Appl., 2023)

FADLSR: A Lightweight Super-Resolution Network Based on Feature Asymmetric Distillation. - Xin Yang 002; Hengrui Li; Hanying Jian; Tao Li 011 (Circuits Syst. Signal Process., 2023)

SCCADC-SR: a real image super-resolution based on self-calibration convolution and adaptive dense connection. - Xin Yang 002; Hengrui Li; Chenhuan Wu; Tao Li 011 (Multim. Tools Appl., 2023)

Incremental Model Predictive Control for Velocity-Controlled Robot Manipulators. - Yongchao Wang; Hengrui Li; Cong Li; Fangzhou Liu (IECON, 2024)

Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation. - Ye Zhang; Ziyue Wang 005; Yifeng Wang 001; Hao Bian; Linghan Cai; Hengrui Li; Lingbo Zhang; Yongbing Zhang 002 (MIDL, 2024)

Multi-scale Context Intertwining for Panoramic Renal Pathology Segmentation. - Ye Zhang; Xianchao Guan; Hengrui Li; Xiangming Yan; Ziyue Wang 005; Yongbing Zhang 002 (ICASSP, 2025)

AMH-Net: Adaptive Multi-Band Hybrid-Aware Network for Emotion Recognition in Speech. - Hengrui Li; Yongbing Zhang 002; Shaohui Liu (IEEE Signal Process. Lett., 2025)

FDDCC-VSR: a lightweight video super-resolution network based on deformable 3D convolution and cheap convolution. - Xiaohu Wang; Xin Yang; Hengrui Li; Tao Li (Vis. Comput., 2025)