RT-Seg: A Real-Time Semantic Segmentation Network for Side-Scan Sonar Images. - Qi Wang 083; Meihan Wu; Fei Yu; Chen Feng; Kaige Li; Yuemei Zhu; Eric Rigall; Bo He 002 (Sensors, 2019)

ECNet: Efficient Convolutional Networks for Side Scan Sonar Image Segmentation. - Meihan Wu; Qi Wang 083; Eric Rigall; Kaige Li; Wenbo Zhu; Bo He 002; Tianhong Yan (Sensors, 2019)

Context and Spatial Feature Calibration for Real-Time Semantic Segmentation. - Kaige Li; Qichuan Geng; Maoxian Wan; Xiaochun Cao; Zhong Zhou (IEEE Trans. Image Process., 2023)

Exploring Scale-Aware Features for Real-Time Semantic Segmentation of Street Scenes. - Kaige Li; Qichuan Geng; Zhong Zhou (IEEE Trans. Intell. Transp. Syst., 2024)

Multimodality Adaptive Transformer and Mutual Learning for Unsupervised Domain Adaptation Vehicle Re-Identification. - Xin Zhang 116; Yunan Ling; Kaige Li; Weimin Shi; Zhong Zhou (IEEE Trans. Intell. Transp. Syst., 2024)

Quantification of Large Language Model Distillation. - Sunbowen Lee; Junting Zhou; Chang Ao; Kaige Li; Xeron Du; Sirui He; Haihong Wu; Tianci Liu 011; Jiaheng Liu; Hamid Alinejad-Rokny; Min Yang 007; Yitao Liang; et al. (ACL (1), 2025)

Boosting Human Pose Estimation via Heatmap Refinement. - Ling Jiang; Zhuocheng Liu; Kaige Li; Wei Wu 008 (MMM (1), 2025)

MAP: Masked Adversarial Perturbation for Boosting Black-Box Attack Transferability. - Kaige Li; Maoxian Wan; Qichuan Geng; Weimin Shi; Xiaochun Cao; Zhong Zhou (IEEE Trans. Image Process., 2025)

LangLoc: Language-Driven Localization via Formatted Spatial Description Generation. - Weimin Shi; Changhao Chen; Kaige Li; Yuan Xiong; Xiaochun Cao; Zhong Zhou (IEEE Trans. Image Process., 2025)

Distillation Quantification for Large Language Models. - Sunbowen Lee; Junting Zhou; Chang Ao; Kaige Li; Xinrun Du; Sirui He; Jiaheng Liu; Min Yang 007; Zhoufutu Wen; Shiwen Ni (CoRR, 2025)

FedBPM:A decentralized federated meta-method for heterogeneous and complex image classification via multi-scale feature fusion. - Wei Liu 043; Kaige Li; Yurong Zheng; Wei She; Zhao Tian (Computing, 2025)

Ftmoe: a federated transfer model based on mixture-of-experts for heterogeneous image classification. - Wei Liu 043; Yingmeng Wang; Kaige Li; Zhao Tian; Wei She (Clust. Comput., 2025)