Weijun Lv

According to our database, Weijun Lv authored at least 15 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Bringing Clustering to MLL: Weakly-Supervised Clustering for Partial Multi-Label Learning.

Yu Chen, Weijun Lv, Yue Huang, Xuhuan Zhu, Fang Li

CoRR, April, 2026

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning.

Yu Chen, Weijun Lv, Yue Huang, Xiaozhao Fang, Jie Wen, Yong Xu, Guanbin Li

CoRR, April, 2026

Prototype-Based Semantic Consistency Alignment for Domain Adaptive Retrieval.

Tianle Hu, Weijun Lv, Na Han, Xiaozhao Fang, Jie Wen, Jiaxing Li, Guoxu Zhou

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Consistent coding guided domain adaptation retrieval.

Tianle Hu, Yonghao Chen, Weijun Lv, Yu Chen, Xiaozhao Fang

Appl. Intell., May, 2025

Structure-Aware Reinforcement Learning for Optimal Transmission Scheduling Over Packet Length-Dependent Lossy Networks.

Lixin Yang, Weijun Lv, Yong Xu, Jie Tao, Daniel E. Quevedo

IEEE Trans. Autom. Control., April, 2025

Gaussian framework for nonlinear state estimation with stochastic event-trigger and packet losses.

Weijun Lv, Chang Liu, Yong Xu, Renquan Lu, Ling Shi

Autom., 2025

Confidence-Aware With Prototype Alignment for Partial Multi-label Learning.

Weijun Lv, Yu Chen, Xiaozhao Fang, Xuhuan Zhu, Jie Wen, Guoxu Zhou, Sixian Chan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Hybrid Transmission Scheduling Protocol for State Estimation Over a Constrained Channel.

Weijun Lv, Yong Xu, Zenghong Huang, Hongxia Rao, Ling Shi

IEEE Trans. Control. Netw. Syst., June, 2024

Event-Triggered Distributed Moving Horizon Estimation Over Wireless Sensor Networks.

Zenghong Huang, Weijun Lv, Chang Liu, Yong Xu, Leszek Rutkowski, Tingwen Huang

IEEE Trans. Ind. Informatics, March, 2024

Optimal Transmission Scheduling Over Multihop Networks: Structural Results and Reinforcement Learning.

Lixin Yang, Yong Xu, Weijun Lv, Jun-Yi Li, Ling Shi

IEEE Trans. Autom. Control., March, 2024

Event-triggered impulsive quasi-synchronization for BAM neural networks with reliable redundant channel.

Yumei Zhou, Weijun Lv, Jie Tao, Yong Xu, Tingwen Huang, Leszek Rutkowski

Neural Networks, January, 2024

Puffin Platform: A Morphable Unmanned Aerial/Underwater Vehicle With Eight Propellers.

Hongxia Rao, Lijie Xie, Jiapeng Yang, Yong Xu, Weijun Lv, Zongkai Zheng, Yihui Deng, Haotian Guo

IEEE Trans. Ind. Electron., 2024

Optimal redundant transmission scheduling for remote state estimation via reinforcement learning approach.

Yijin Jia, Lixin Yang, Yao Zhao, Jun-Yi Li, Weijun Lv

Neurocomputing, 2024

2023

Partial multi-label learning: exploration of binary ground-truth labels.

Yan Hu, Xiaozhao Fang, Weijun Lv, Peipei Kang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

On extended state estimation for nonlinear uncertain systems with round-robin protocol.

Yong Xu, Weijun Lv, Weiqun Lin, Renquan Lu, Daniel E. Quevedo

Autom., 2022