Weining Lu

According to our database, Weining Lu authored at least 22 papers between 2014 and 2024.

Collaborative distances:

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

2024

Transform-Equivariant Consistency Learning for Temporal Sentence Grounding.

Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Zichuan Xu, Haozhao Wang, Xing Di, Weining Lu, Yu Cheng

ACM Trans. Multim. Comput. Commun. Appl., April, 2024

Outlier detection in temporal and spatial sequences via correlation analysis based on graph neural networks.

Yan Gao, Qingquan Lin, Shuang Ye, Yu Cheng, Tao Zhang, Bin Liang, Weining Lu

Displays, 2024

Efficient Collaborative Navigation through Perception Fusion for Multi-Robots in Unknown Environments.

Qingquan Lin, Weining Lu, Litong Meng, Chenxi Li, Bin Liang

CoRR, 2024

A Social Force Model for Multi-Agent Systems With Application to Robots Traversal in Cluttered Environments.

Chenxi Li, Weining Lu, Qingquan Lin, Litong Meng, Haolu Li, Bin Liang

CoRR, 2024

Highly Efficient Observation Process based on FFT Filtering for Robot Swarm Collaborative Navigation in Unknown Environments.

Chenxi Li, Weining Lu, Zhihao Ma, Litong Meng, Bin Liang

CoRR, 2024

CatLearning: highly accurate gene expression prediction from histone mark.

Weining Lu, Yin Tang, Yu Liu, Shiyi Lin, Qifan Shuai, Bin Liang, Rongqing Zhang, Yu Cheng, Dong Fang

Briefings Bioinform., 2024

2023

Optimization Design Method of Tendon-Sheath Transmission Path Under Curvature Constraint.

Yanan Li, Weining Lu, Yu Liu, Deshan Meng, Xueqian Wang, Bin Liang

IEEE Trans. Robotics, August, 2023

Collaborative Goal Tracking of Multiple Mobile Robots Based on Geometric Graph Neural Network.

Qingquan Lin, Weining Lu

CoRR, 2023

An Expert Data Generation Method for Multi-Agent Cooperative Planning Method.

Wenhui Zhu, Qingquan Lin, Xi Fu, Qinggang Wu, Kai Tang, Weining Lu

Proceedings of the 28th International Conference on Automation and Computing, 2023

Hypotheses Tree Building for One-Shot Temporal Sentence Localization.

Daizong Liu, Xiang Fang, Pan Zhou, Xing Di, Weining Lu, Yu Cheng

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Cooperative planning of multi-agent systems based on task-oriented knowledge fusion with graph neural networks.

Hanqi Dai, Weining Lu, Xianglong Li, Jun Yang, Deshan Meng, Yanze Liu, Bin Liang

Frontiers Inf. Technol. Electron. Eng., 2022

2020

Deep Model-Based Semi-Supervised Learning Way for Outlier Detection in Wireless Capsule Endoscopy Images.

Yan Gao, Weining Lu, Xiaobei Si, Yu Lan

IEEE Access, 2020

2019

A Deep Transfer Model With Wasserstein Distance Guided Multi-Adversarial Networks for Bearing Fault Diagnosis Under Different Working Conditions.

Ming Zhang, Duo Wang, Weining Lu, Jun Yang, Zhiheng Li, Bin Liang

IEEE Access, 2019

A 3D Static Modeling Method and Experimental Verification of Continuum Robots Based on Pseudo-Rigid Body Theory.

Shaoping Huang, Deshan Meng, Xueqian Wang, Bin Liang, Weining Lu

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Early Fault Detection Approach With Deep Architectures.

Weining Lu, Yipeng Li, Yu Cheng, Deshan Meng, Bin Liang, Pan Zhou

IEEE Trans. Instrum. Meas., 2018

2017

Unsupervised Sequential Outlier Detection With Deep Architectures.

Weining Lu, Yu Cheng, Cao Xiao, Shiyu Chang, Shuai Huang, Bin Liang, Thomas S. Huang

IEEE Trans. Image Process., 2017

Deep Model Based Domain Adaptation for Fault Diagnosis.

Weining Lu, Bin Liang, Yu Cheng, Deshan Meng, Jun Yang, Tao Zhang

IEEE Trans. Ind. Electron., 2017

Remaining useful life prediction of aircraft engine based on degradation pattern learning.

Zeqi Zhao, Bin Liang, Xueqian Wang, Weining Lu

Reliab. Eng. Syst. Saf., 2017

Learning to control space robots with flexible appendages using model-based policy search.

Qiyuan Zhang, Deshan Meng, Xueqian Wang, Bin Liang, Weining Lu

Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017

2016

Doubly Convolutional Neural Networks.

Shuangfei Zhai, Yu Cheng, Zhongfei (Mark) Zhang, Weining Lu

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Deep Structured Energy Based Models for Anomaly Detection.

Shuangfei Zhai, Yu Cheng, Weining Lu, Zhongfei Zhang

Proceedings of the 33nd International Conference on Machine Learning, 2016

2014

Vision-Based Pose Estimation From Points With Unknown Correspondences.

Haoyin Zhou, Tao Zhang, Weining Lu

IEEE Trans. Image Process., 2014