Zheng Chai
Orcid: 0000-0001-9823-2990
According to our database1,
Zheng Chai
authored at least 38 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Toward Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
CoRR, 2024
2023
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction.
CoRR, 2023
Hardware Efficient Reconfigurable Logic-in-Memory Circuit Based Neural Network Computing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
A Deep Probabilistic Transfer Learning Framework for Soft Sensor Modeling With Missing Data.
IEEE Trans. Neural Networks Learn. Syst., 2022
A Single-Side Neural Network-Aided Canonical Correlation Analysis With Applications to Fault Diagnosis.
IEEE Trans. Cybern., 2022
Variational Progressive-Transfer Network for Soft Sensing of Multirate Industrial Processes.
IEEE Trans. Cybern., 2022
Multisource-Refined Transfer Network for Industrial Fault Diagnosis Under Domain and Category Inconsistencies.
IEEE Trans. Cybern., 2022
Fault-Prototypical Adapted Network for Cross-Domain Industrial Intelligent Diagnosis.
IEEE Trans Autom. Sci. Eng., 2022
Synaptic 1/f noise injection for overfitting suppression in hardware neural networks.
Neuromorph. Comput. Eng., 2022
Knowl. Based Syst., 2022
Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization.
CoRR, 2022
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022
2021
IEEE Trans. Instrum. Meas., 2021
Data-Driven Fault Detection for Dynamic Systems With Performance Degradation: A Unified Transfer Learning Framework.
IEEE Trans. Instrum. Meas., 2021
Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM framework.
CoRR, 2021
FedAT: a high-performance and communication-efficient federated learning system with asynchronous tiers.
Proceedings of the International Conference for High Performance Computing, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
True random number generator based on switching probability of volatile GeXSe1-X ovonic threshold switching selectors.
Proceedings of the 14th IEEE International Conference on ASIC, 2021
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Enhanced Random Forest With Concurrent Analysis of Static and Dynamic Nodes for Industrial Fault Classification.
IEEE Trans. Ind. Informatics, 2020
A Fine-Grained Adversarial Network Method for Cross-Domain Industrial Fault Diagnosis.
IEEE Trans Autom. Sci. Eng., 2020
FedAT: A Communication-Efficient Federated Learning Method with Asynchronous Tiers under Non-IID Data.
CoRR, 2020
CoRR, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Toward Model Parallelism for Deep Neural Network based on Gradient-free ADMM Framework.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020
2019
Committee Machines - A Universal Method to Deal with Non-Idealities in RRAM-Based Neural Networks.
CoRR, 2019
Proceedings of the 2019 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, 2019
Proceedings of the 2019 USENIX Conference on Operational Machine Learning, 2019
2018
Proceedings of the 9th Asia-Pacific Workshop on Systems, 2018
2017
ORB-SHOT SLAM: Trajectory Correction by 3D Loop Closing Based on Bag-of-Visual-Words (BoVW) Model for RGB-D Visual SLAM.
J. Robotics Mechatronics, 2017