Rongzhen Zhao

According to our database, Rongzhen Zhao authored at least 23 papers between 2013 and 2025.

Collaborative distances:

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

2025

Smoothing Slot Attention Iterations and Recurrences.

Rongzhen Zhao, Wenyan Yang, Juho Kannala, Joni Pajarinen

CoRR, August, 2025

Predicting Video Slot Attention Queries from Random Slot-Feature Pairs.

Rongzhen Zhao, Jian Li, Juho Kannala, Joni Pajarinen

CoRR, August, 2025

Slot Attention with Re-Initialization and Self-Distillation.

Rongzhen Zhao, Yi Zhao, Juho Kannala, Joni Pajarinen

CoRR, July, 2025

MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning.

Hongjia Liu, Rongzhen Zhao, Haohan Chen, Joni Pajarinen

CoRR, May, 2025

Vector-Quantized Vision Foundation Models for Object-Centric Learning.

Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen

CoRR, February, 2025

Dimensionality reduction of rolling bearing fault data based on graph-embedded semi-supervised deep auto-encoders.

Wei Kongyuan, Rongzhen Zhao, Haixia Kou, Pengfei Chen, Yongyong Cao, Yuqiao Zheng, Linfeng Deng

Eng. Appl. Artif. Intell., 2025

Multi-source contrastive cluster center method for cross-domain bearing fault identification.

Pengfei Chen, Lizhen Wu, Rongzhen Zhao, Kongyuan Wei, Yuqiao Zheng, Linfeng Deng, Yongfei Zhang, Mingkuan Shi, Zhuo Chen

Eng. Appl. Artif. Intell., 2025

Multimetric hypergraph embedding for dimensionality reduction in rotor fault diagnosis.

Yongfei Zhang, Yuqiao Zheng, Rongzhen Zhao, Linfeng Deng, Mingkuan Shi, Pengfei Chen, Kongyuan Wei

Adv. Eng. Informatics, 2025

Grouped Discrete Representation for Object-Centric Learning.

Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

Multi-Scale Fusion for Object Representation.

Rongzhen Zhao, Vivienne Huiling Wang, Juho Kannala, Joni Pajarinen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2023

A novel bearing fault diagnosis method based joint attention adversarial domain adaptation.

Pengfei Chen, Rongzhen Zhao, Tianjing He, Kongyuan Wei, Jianhui Yuan

Reliab. Eng. Syst. Saf., September, 2023

Unsupervised structure subdomain adaptation based the Contrastive Cluster Center for bearing fault diagnosis.

Pengfei Chen, Rongzhen Zhao, Tianjing He, Kongyuan Wei, Jianhui Yuan

Eng. Appl. Artif. Intell., 2023

2022

Modeling learnable electrical synapse for high precision spatio-temporal recognition.

Zhenzhi Wu, Zhihong Zhang, Huanhuan Gao, Jun Qin, Rongzhen Zhao, Guangshe Zhao, Guoqi Li

Neural Networks, 2022

Intelligent fault diagnosis of rolling bearing based on novel CNN model considering data imbalance.

Ziyang Xing, Rongzhen Zhao, Yaochun Wu, Tianjing He

Appl. Intell., 2022

Convolution of Convolution: Let Kernels Spatially Collaborate.

Rongzhen Zhao, Jian Li, Zhenzhi Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Learnable Heterogeneous Convolution: Learning both topology and strength.

Rongzhen Zhao, Zhenzhi Wu, Qikun Zhang

Neural Networks, 2021

Intelligent fault diagnosis of rolling bearings using a semi-supervised convolutional neural network.

Yaochun Wu, Rongzhen Zhao, Wuyin Jin, Tianjing He, Sencai Ma, Mingkuan Shi

Appl. Intell., 2021

2020

A New Fault Feature Extraction Method for Rotating Machinery Based on Multiple Sensors.

Feng Miao, Rongzhen Zhao, Xianli Wang, Leilei Jia

Sensors, 2020

2018

A OneM2M-Compliant Stacked Middleware Promoting IoT Research and Development.

Rongzhen Zhao, Litian Wang, Xingzhe Zhang, Yu Zhang, Lizhi Wang, Hongzhao Peng

IEEE Access, 2018

2016

A method to integrate KSSOMFA and WKNN together on faults identification of rotating machinery.

Xiaoli Zhao, Rongzhen Zhao

Proceedings of the 13th International Conference on Ubiquitous Robots and Ambient Intelligence, 2016

2013

F-LLE algorithm and its application in fault feature extraction.

Rongzhen Zhao, Kunju Shi, Zhaohui Li, Tao Zhang

Proceedings of the 10th International Conference on Ubiquitous Robots and Ambient Intelligence, 2013

A framework to develop intelligent information system for rotating machinery in a data-driven way.

Rongzhen Zhao, Linfeng Deng, Zhaohui Li

Proceedings of the 10th International Conference on Ubiquitous Robots and Ambient Intelligence, 2013

An intelligent pattern recognition method for machine fault diagnosis.

Linfeng Deng, Rongzhen Zhao

Proceedings of the 10th International Conference on Ubiquitous Robots and Ambient Intelligence, 2013