Hard-Decision Quantization Algorithm Based on Deep Learning in Intra Video Coding. - Hongkui Wang; Shengju Yu; Ying Zhang; Zhuo Kuang; Li Yu 003 (DCC, 2019)

An Extended Skip Strategy for Inter Prediction. - Hao Tao; Li Yu 003; Zhuo Kuang; Hongkui Wang; Xiaofeng Huang (PCS, 2019)

Skull R-CNN: A CNN-based network for the skull fracture detection. - Zhuo Kuang; Xianbo Deng; Li Yu 003; Hang Zhang; Xian Lin; Hui Ma (MIDL, 2020)

Ψ-Net: Focusing on the border areas of intracerebral hemorrhage on CT images. - Zhuo Kuang; Xianbo Deng; Li Yu 003; Hongkui Wang; Tiansong Li; Shengwei Wang (Comput. Methods Programs Biomed., 2020)

Data Fusion Framework For The Prediction Of Early Hematoma Expansion Based On CNN. - Chen Wang; Xianbo Deng; Li Yu 003; Zhuo Kuang; Hui Ma; Yineng Hua; Bo Liang (ISBI, 2021)

An efficient rate-distortion optimization method for dependent view in MV-HEVC based on inter-view dependency. - Tiansong Li; Li Yu 003; Hongkui Wang; Zhuo Kuang (Signal Process. Image Commun., 2021)

A Bit Allocation Method Based on Inter-View Dependency and Spatio-Temporal Correlation for Multi-View Texture Video Coding. - Tiansong Li; Li Yu 003; Hongkui Wang; Zhuo Kuang (IEEE Trans. Broadcast., 2021)

BGSNet: Bidirectional-Guided Semi-3D Network for Prediction of Hematoma Expansion. - Qin Wan 002; Zhuo Kuang; Xianbo Deng; Li Yu 003 (ICIP, 2022)

Symmetry-Aware Deep Learning for Cerebral Ventricle Segmentation With Intra-Ventricular Hemorrhage. - Yineng Hua; Zengqiang Yan; Zhuo Kuang; Hang Zhang; Xianbo Deng; Li Yu 003 (IEEE J. Biomed. Health Informatics, 2022)

Uncertainty-Aware Deep Learning With Cross-Task Supervision for PHE Segmentation on CT Images. - Zhuo Kuang; Zengqiang Yan; Li Yu 003; Xianbo Deng; Yineng Hua; Shuyun Li (IEEE J. Biomed. Health Informatics, 2022)

Surprise-based JND estimation for perceptual quantization in H.265/HEVC codecs. - Hongkui Wang; Li Yu 003; Hailang Yang; Haifeng Xu; Haibing Yin; Guangtao Zhai; Tianzong Li; Zhuo Kuang (Signal Process. Image Commun., 2023)

Cluster-Re-Supervision: Bridging the Gap Between Image-Level and Pixel-Wise Labels for Weakly Supervised Medical Image Segmentation. - Zhuo Kuang; Zengqiang Yan; Huiyu Zhou 001; Li Yu 003 (IEEE J. Biomed. Health Informatics, 2023)

From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching. - Nannan Wu; Zhuo Kuang; Zengqiang Yan; Li Yu 003 (IJCAI, 2024)

Weakly supervised learning for multi-class medical image segmentation via feature decomposition. - Zhuo Kuang; Zengqiang Yan; Li Yu 003 (Comput. Biol. Medicine, 2024)

Fair Federated Medical Image Classification Against Quality Shift via Inter-Client Progressive State Matching. - Nannan Wu; Zhuo Kuang; Zengqiang Yan; Ping Wang; Li Yu 003 (CoRR, 2025)

ROXSI: Robust Cross-Sequence Semantic Interaction for Brain Tumor Segmentation on Multi-Sequence MR Images. - Zhuo Kuang; Zengqiang Yan; Aly Abayazeed; Franca Wagner; Li Yu 003; Mauricio Reyes 001 (IEEE J. Biomed. Health Informatics, 2025)