Rui Zhao

发表

Physics guided neural network for machining tool wear prediction

Robert X. Gao, Jinjiang Wang, Rui Zhao, 2020 .

Cyberbullying Detection Based on Semantic-Enhanced Marginalized Denoising Auto-Encoder

Rui Zhao, Kezhi Mao, K. Mao, 2017, IEEE Transactions on Affective Computing.

Multi-Document Extractive Summarization Using Window-Based Sentence Representation

Yong Zhang, Meng Joo Er, Rui Zhao, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

Multiview Convolutional Neural Networks for Multidocument Extractive Summarization

Yong Zhang, Mahardhika Pratama, Meng Joo Er, 2017, IEEE Transactions on Cybernetics.

Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach

Zhenghua Chen, Min Wu, Xiaoli Li, 2021, IEEE Transactions on Industrial Electronics.

Multilevel Information Fusion for Induction Motor Fault Diagnosis

Robert X. Gao, Jinjiang Wang, Rui Zhao, 2019, IEEE/ASME Transactions on Mechatronics.

A sparse auto-encoder-based deep neural network approach for induction motor faults classification

Ruqiang Yan, Wenjun Sun, Xuefeng Chen, 2016 .

Deep learning and its applications to machine health monitoring

Robert X. Gao, Zhenghua Chen, Peng Wang, 2019, Mechanical Systems and Signal Processing.

Deep heterogeneous GRU model for predictive analytics in smart manufacturing: Application to tool wear prediction

Robert X. Gao, Jinjiang Wang, Rui Zhao, 2019, Comput. Ind..

Multisensory fusion based virtual tool wear sensing for ubiquitous manufacturing

Lixiang Duan, Laibin Zhang, Rui Zhao, 2017 .

Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks

Fei Shen, Ruqiang Yan, Kezhi Mao, 2018, IEEE Transactions on Industrial Electronics.

Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks

Ruqiang Yan, Kezhi Mao, Rui Zhao, 2017, Sensors.

Convolutional Discriminative Feature Learning for Induction Motor Fault Diagnosis

Ruqiang Yan, Wenjun Sun, Xuefeng Chen, 2017, IEEE Transactions on Industrial Informatics.

Deep Learning and Its Applications to Machine Health Monitoring: A Survey pdf

Robert X. Gao, Peng Wang, Ruqiang Yan, 2016, ArXiv.

A New Probabilistic Kernel Factor Analysis for Multisensory Data Fusion: Application to Tool Condition Monitoring

Laibin Zhang, Kezhi Mao, Rui Zhao, 2016, IEEE Transactions on Instrumentation and Measurement.

Automatic detection of cyberbullying on social networks based on bullying features

Rui Zhao, Kezhi Mao, Anna Zhou, 2016, ICDCN.

Dual-scale cascaded adaptive stochastic resonance for rotary machine health monitoring

Robert X. Gao, Ruqiang Yan, Rui Zhao, 2013 .

Decoupled Feature-Temporal CNN: Explaining Deep Learning-Based Machine Health Monitoring

Zhenghua Chen, Ruqiang Yan, Rui Zhao, 2020, 2020 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD).

Machine health monitoring with LSTM networks

Ruqiang Yan, Kezhi Mao, Jinjiang Wang, 2016, 2016 10th International Conference on Sensing Technology (ICST).

Decoupled Feature-Temporal CNN: Explaining Deep Learning-Based Machine Health Monitoring

Ruqiang Yan, Zhenghua Chen, Jinjiang Wang, 2021, IEEE Transactions on Instrumentation and Measurement.

Fuzzy Bag-of-Words Model for Document Representation

Rui Zhao, Kezhi Mao, K. Mao, 2018, IEEE Transactions on Fuzzy Systems.

Deeply Coupled Cross-Modal Prompt Learning

Wei Tang, Xuejing Liu, Rui Zhao, 2023, ACL.

Semi-Random Projection for Dimensionality Reduction and Extreme Learning Machine in High-Dimensional Space

Kezhi Mao, Rui Zhao, K. Mao, 2015, IEEE Computational Intelligence Magazine.

Performance Analysis and Enhancement of Deep Convolutional Neural Network

Jinjiang Wang, Rui Zhao, Yulin Ma, 2019, Business & Information Systems Engineering.

Probabilistic Transfer Factor Analysis for Machinery Autonomous Diagnosis Cross Various Operating Conditions

Robert X. Gao, Rui Zhao, Jinjiang Wang, 2020, IEEE Transactions on Instrumentation and Measurement.

Topic-Aware Deep Compositional Models for Sentence Classification

Kezhi Mao, Rui Zhao, K. Mao, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

TeachCLIP: Multi-Grained Teaching for Efficient Text-to-Video Retrieval

Xirong Li, Rui Zhao, Hu Hu, 2023, ArXiv.

A Vlogger-augmented Graph Neural Network Model for Micro-video Recommendation

Y. Zheng, Rui Zhao, Beibei Li, 2024, ECML/PKDD.

Building Occupancy Estimation with Environmental Sensors via CDBLSTM

Yeng Chai Soh, Kezhi Mao, Rui Zhao, 2017, IEEE Transactions on Industrial Electronics.

ChinaOpen: A Dataset for Open-world Multimodal Learning

Xirong Li, Ziyuan Wang, Chengbo Dong, 2023, ACM Multimedia.