On extended state estimation for nonlinear uncertain systems with round-robin protocol. - Yong Xu 003; Weijun Lv; Weiqun Lin; Renquan Lu; Daniel E. Quevedo (Autom., 2022)

Partial multi-label learning: exploration of binary ground-truth labels. - Yan Hu; Xiaozhao Fang; Weijun Lv; Peipei Kang (ICME, 2023)

Optimal redundant transmission scheduling for remote state estimation via reinforcement learning approach. - Yijin Jia; Lixin Yang 004; Yao Zhao; Jun-Yi Li; Weijun Lv (Neurocomputing, 2024)

Puffin Platform: A Morphable Unmanned Aerial/Underwater Vehicle With Eight Propellers. - Hongxia Rao; Lijie Xie; Jiapeng Yang; Yong Xu 003; Weijun Lv; Zongkai Zheng; Yihui Deng; Haotian Guo (IEEE Trans. Ind. Electron., 2024)

Event-triggered impulsive quasi-synchronization for BAM neural networks with reliable redundant channel. - Yumei Zhou; Weijun Lv; Jie Tao; Yong Xu 003; Tingwen Huang; Leszek Rutkowski (Neural Networks, 2024)

Optimal Transmission Scheduling Over Multihop Networks: Structural Results and Reinforcement Learning. - Lixin Yang 004; Yong Xu 003; Weijun Lv; Jun-Yi Li; Ling Shi 001 (IEEE Trans. Autom. Control., 2024)

Event-Triggered Distributed Moving Horizon Estimation Over Wireless Sensor Networks. - Zenghong Huang; Weijun Lv; Chang Liu 020; Yong Xu 003; Leszek Rutkowski; Tingwen Huang (IEEE Trans. Ind. Informatics, 2024)

Hybrid Transmission Scheduling Protocol for State Estimation Over a Constrained Channel. - Weijun Lv; Yong Xu 003; Zenghong Huang; Hongxia Rao; Ling Shi 001 (IEEE Trans. Control. Netw. Syst., 2024)

Gaussian framework for nonlinear state estimation with stochastic event-trigger and packet losses. - Weijun Lv; Chang Liu 020; Yong Xu 003; Renquan Lu; Ling Shi 001 (Autom., 2025)

Structure-Aware Reinforcement Learning for Optimal Transmission Scheduling Over Packet Length-Dependent Lossy Networks. - Lixin Yang 004; Weijun Lv; Yong Xu 003; Jie Tao; Daniel E. Quevedo (IEEE Trans. Autom. Control., 2025)

Consistent coding guided domain adaptation retrieval. - Tianle Hu; Yonghao Chen; Weijun Lv; Yu Chen; Xiaozhao Fang (Appl. Intell., 2025)