Seeing is Sensing - External Observation of In Vivo Biological Gradient Field by Tracking Nanoswimmers. - Kunlun Wu; Yue Sun; Zheng Gong; Xiaorong Ding; Yifan Chen 001 (EMBC, 2021)

Multi-level Temporal-Guided Graph Convolutional Networks for Skeleton-Based Action Recognition. - Kunlun Wu; Xun Gong 002 (CCBR, 2022)

Dynamic Channel-Aware Subgraph Interactive Networks for Skeleton-Based Action Recognition. - Kunlun Wu; Xun Gong 002 (IEEE Signal Process. Lett., 2022)

Design of wireless in-pipe inspection robot for image acquisition. - Kunlun Wu; Haifeng Sang; Yanhao Xing; Yao Lu (Ind. Robot, 2023)

Asymmetric information-regularized learning for skeleton-based action recognition. - Kunlun Wu; Xun Gong (Appl. Intell., 2023)

Nanoswimmers statistical mechanics: Unlocking whole-blood viscosity sensing for tumor microenvironment. - Yue Sun; Dong Du; Kunlun Wu; Luyao Zhang; Yifan Chen (Comput. Biol. Medicine, 2024)

A survey on wireless in-pipe inspection robotics. - Kunlun Wu (Int. J. Intell. Robotics Appl., 2024)

Leveraging uncertainty-guided spatial-temporal mutuality for skeleton-based action recognition. - Kunlun Wu; Bo Peng 006; Donghai Zhai (Appl. Soft Comput., 2025)

A novel approach to enhancing biomedical signal recognition via hybrid high-order information bottleneck driven spiking neural networks. - Kunlun Wu; Shunzhuo E; Ning Yang; Anguo Zhang; Xiaorong Yan; Chaoxu Mu; Yongduan Song (Neural Networks, 2025)

Boundary-Aware Axial Attention Network for High-Quality Pavement Crack Detection. - Kunlun Wu; Bo Peng 006; Donghai Zhai (IEEE Trans. Neural Networks Learn. Syst., 2025)