Rongzhen Zhao - RankMe

31 papers A* 5Journal 21Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Joint embedding for multi-structural hypergraph based dimensionality reduction in rotor fault diagnosis. Eng. Appl. Artif. Intell. Yongfei Zhang, Qibo Liang, Yuqiao Zheng, Rongzhen Zhao, Linfeng Deng, Mingkuan Shi, Pengfei Chen, Kongyuan Wei
2026	A*	`conf`	Predicting Video Slot Attention Queries from Random Slot-Feature Pairs. AAAI Rongzhen Zhao, Jian Li, Juho Kannala, Joni Pajarinen
2025	J	`jnl`	Dimensionality reduction of rolling bearing fault data based on graph-embedded semi-supervised deep auto-encoders. Eng. Appl. Artif. Intell. Wei Kongyuan, Rongzhen Zhao, Haixia Kou, Pengfei Chen, Yongyong Cao, Yuqiao Zheng, Linfeng Deng
2025	—	`conf`	Grouped Discrete Representation for Object-Centric Learning. ECML/PKDD (6) Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen
2025	J	`jnl`	MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning. CoRR Hongjia Liu, Rongzhen Zhao, Haohan Chen, Joni Pajarinen
2025	A*	`conf`	Multi-Scale Fusion for Object Representation. ICLR Rongzhen Zhao, Vivienne Huiling Wang, Juho Kannala, Joni Pajarinen
2025	J	`jnl`	Multi-source contrastive cluster center method for cross-domain bearing fault identification. Eng. Appl. Artif. Intell. Pengfei Chen, Lizhen Wu, Rongzhen Zhao, Kongyuan Wei, Yuqiao Zheng, Linfeng Deng, Yongfei Zhang, Mingkuan Shi, Zhuo Chen
2025	J	`jnl`	Multimetric hypergraph embedding for dimensionality reduction in rotor fault diagnosis. Adv. Eng. Informatics Yongfei Zhang, Yuqiao Zheng, Rongzhen Zhao, Linfeng Deng, Mingkuan Shi, Pengfei Chen, Kongyuan Wei
2025	J	`jnl`	Object-Centric Vision Token Pruning for Vision Language Models. CoRR Guangyuan Li, Rongzhen Zhao, Jinhong Deng, Yanbo Wang, Joni Pajarinen
2025	J	`jnl`	Predicting Video Slot Attention Queries from Random Slot-Feature Pairs. CoRR Rongzhen Zhao, Jian Li, Juho Kannala, Joni Pajarinen
2025	A*	`conf`	Slot Attention with Re-Initialization and Self-Distillation. ACM Multimedia Rongzhen Zhao, Yi Zhao, Juho Kannala, Joni Pajarinen
2025	J	`jnl`	Slot Attention with Re-Initialization and Self-Distillation. CoRR Rongzhen Zhao, Yi Zhao, Juho Kannala, Joni Pajarinen
2025	J	`jnl`	Smoothing Slot Attention Iterations and Recurrences. CoRR Rongzhen Zhao, Wenyan Yang, Juho Kannala, Joni Pajarinen
2025	A*	`conf`	Vector-Quantized Vision Foundation Models for Object-Centric Learning. ACM Multimedia Rongzhen Zhao, Vivienne Huiling Wang, Juho Kannala, Joni Pajarinen
2025	J	`jnl`	Vector-Quantized Vision Foundation Models for Object-Centric Learning. CoRR Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen
2024	J	`jnl`	Grouped Discrete Representation for Object-Centric Learning. CoRR Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen
2024	J	`jnl`	Multi-Scale Fusion for Object Representation. CoRR Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen
2023	J	`jnl`	A novel bearing fault diagnosis method based joint attention adversarial domain adaptation. Reliab. Eng. Syst. Saf. Pengfei Chen, Rongzhen Zhao, Tianjing He, Kongyuan Wei, Jianhui Yuan
2023	J	`jnl`	Learnable Heterogeneous Convolution: Learning both topology and strength. CoRR Rongzhen Zhao, Zhenzhi Wu, Qikun Zhang
2023	J	`jnl`	Unsupervised structure subdomain adaptation based the Contrastive Cluster Center for bearing fault diagnosis. Eng. Appl. Artif. Intell. Pengfei Chen, Rongzhen Zhao, Tianjing He, Kongyuan Wei, Jianhui Yuan
2022	A*	`conf`	Convolution of Convolution: Let Kernels Spatially Collaborate. CVPR Rongzhen Zhao, Jian Li, Zhenzhi Wu
2022	J	`jnl`	Intelligent fault diagnosis of rolling bearing based on novel CNN model considering data imbalance. Appl. Intell. Ziyang Xing, Rongzhen Zhao, Yaochun Wu, Tianjing He
2022	J	`jnl`	Modeling learnable electrical synapse for high precision spatio-temporal recognition. Neural Networks Zhenzhi Wu, Zhihong Zhang, Huanhuan Gao, Jun Qin, Rongzhen Zhao, Guangshe Zhao, Guoqi Li
2021	J	`jnl`	Intelligent fault diagnosis of rolling bearings using a semi-supervised convolutional neural network. Appl. Intell. Yaochun Wu, Rongzhen Zhao, Wuyin Jin, Tianjing He, Sencai Ma, Mingkuan Shi
2021	J	`jnl`	Learnable Heterogeneous Convolution: Learning both topology and strength. Neural Networks Rongzhen Zhao, Zhenzhi Wu, Qikun Zhang
2020	J	`jnl`	A New Fault Feature Extraction Method for Rotating Machinery Based on Multiple Sensors. Sensors Feng Miao, Rongzhen Zhao, Xianli Wang, Leilei Jia
2018	J	`jnl`	A OneM2M-Compliant Stacked Middleware Promoting IoT Research and Development. IEEE Access Rongzhen Zhao, Litian Wang, Xingzhe Zhang, Yu Zhang, Lizhi Wang, Hongzhao Peng
2016	—	`conf`	A method to integrate KSSOMFA and WKNN together on faults identification of rotating machinery. URAI Xiaoli Zhao, Rongzhen Zhao
2013	—	`conf`	A framework to develop intelligent information system for rotating machinery in a data-driven way. URAI Rongzhen Zhao, Linfeng Deng, Zhaohui Li
2013	—	`conf`	An intelligent pattern recognition method for machine fault diagnosis. URAI Linfeng Deng, Rongzhen Zhao
2013	—	`conf`	F-LLE algorithm and its application in fault feature extraction. URAI Rongzhen Zhao, Kunju Shi, Zhaohui Li, Tao Zhang