Running State Prediction and Evaluation of Power Transformers. - Lingming Kong; Le Luan; Kai Zhou; Chao Chen; Jinmei Chen; Zhuzhu Wang (ICARM, 2019)

MaxCLK: discovery of cancer driver genes via maximal clique and information entropy of modules. - Jian Liu; Fubin Ma; Yongdi Zhu; Naiqian Zhang; Lingming Kong; Jia Mi; Haiyan Cong; Rui Gao 006; Mingyi Wang; Yusen Zhang 002 (Bioinform., 2023)

DETR-SAM: Combining Feature-Fused DETR Detector and Fine-Tuned SAM for Automatic Aortic Dissection Segmentation in CTA Image. - Wenjie Cai; Tao Tang; Lingming Kong; Ying Zhou; Jun Huang; Qingfeng Wang; Jing Li (BIBM, 2024)

Blind Spot Detection System Merging Scene Data Analysis. - Kai Li; Lingming Kong; Xuebin Shao; Cheng Zhang; Ruixuan Xi; Kai Zhen; Yunpeng Qi (CIPAE, 2024)

LABEL-SAM: A Semi-Automatic Interactive Annotation Model for Aortic Dissection Segmentation in 3D CTA Image. - Wenjie Cai; Tao Tang; Balachander J.; Lingming Kong; Ying Zhou; Qingfeng Wang; Jing Li (ICASSP, 2025)

Exploring the Distribution of Cell Subpopulations in Pancreatic Ductal Adenocarcinoma Slides by Joint Spatial Transcriptomics and Pathology Data. - Yaqi Deng; Wenjie Cai; Bentao Song 001; Bin Yang; Lingming Kong; Qingfeng Wang; Jun Huang (ICASSP, 2025)

DMSD-Net: Dynamic Multi-Scale Deformable Large Kernel Attention Network for 3D Segmentation of the Pancreas and Tumors. - Bin Yang; Wenjie Cai; Tao Tang; Jun Huang; Zhiqin Liu; Lingming Kong; Qingfeng Wang (ICIC (18), 2025)