Zheng Chai

Orcid: 0000-0003-3446-7138

According to our database1, Zheng Chai authored at least 40 papers between 2017 and 2024.

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Bibliography

2024
Toward Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

QP-LDP for Better Global Model Performance in Federated Learning.
IEEE Internet Things J., 2024

Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models.
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

Stochastic Computing Based on Volatile Ovonic Threshold Switching Devices.
Proceedings of the 15th IEEE International Conference on ASIC, 2023

2022
Data-Driven Designs of Fault Detection Systems via Neural Network-Aided Learning.
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

A novel random multi-subspace based ReliefF for feature selection.
Knowl. Based Syst., 2022

Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization.
CoRR, 2022

User-Aware Multi-Interest Learning for Candidate Matching in Recommenders.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

QP-LDP for better global model performance in federated learning.
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

2021
High-Resolution Time-to-Digital Converters Implemented on 40-, 28-, and 20-nm FPGAs.
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

LOF: Structure-Aware Line Tracking based on Optical Flow.
CoRR, 2021

Method Towards CVPR 2021 SimLocMatch Challenge.
CoRR, 2021

Method Towards CVPR 2021 Image Matching Challenge.
CoRR, 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

Asynchronous Federated Learning for Sensor Data with Concept Drift.
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
Multiclass Oblique Random Forests With Dual-Incremental Learning Capacity.
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

Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training.
CoRR, 2020

Federated Multi-task Learning with Hierarchical Attention for Sensor Data Analytics.
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

TiFL: A Tier-based Federated Learning System.
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

Federated Multi-task Hierarchical Attention Model for Sensor Analytics.
CoRR, 2019

IMRL: An Improved Inertial-Aided KLT Feature Tracker.
Proceedings of the 2019 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, 2019

Towards Taming the Resource and Data Heterogeneity in Federated Learning.
Proceedings of the 2019 USENIX Conference on Operational Machine Learning, 2019

2018
Characterizing Co-located Datacenter Workloads: An Alibaba Case Study.
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


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