Zheng Chai

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Toward Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework.

Junxiang Wang, Hongyi Li, Zheng Chai, Yongchao Wang, Yue Cheng, Liang Zhao

IEEE Trans. Neural Networks Learn. Syst., April, 2024

QP-LDP for Better Global Model Performance in Federated Learning.

Qian Chen, Zheng Chai, Zilong Wang, Haonan Yan, Xiaodong Lin, Jianying Zhou

IEEE Internet Things J., 2024

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

Guangji Bai, Zheng Chai, Chen Ling, Shiyu Wang, Jiaying Lu, Nan Zhang, Tingwei Shi, Ziyang Yu, Mengdan Zhu, Yifei Zhang, Carl Yang, Yue Cheng, Liang Zhao

CoRR, 2024

2023

Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction.

Guangji Bai, Ziyang Yu, Zheng Chai, Yue Cheng, Liang Zhao

CoRR, 2023

Hardware Efficient Reconfigurable Logic-in-Memory Circuit Based Neural Network Computing.

Tianchi Liu, Yizhuo Zhou, Yakun Zhou, Zheng Chai, Jienan Chen

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Stochastic Computing Based on Volatile Ovonic Threshold Switching Devices.

Zheng Chai, Weidong Zhang, Jian Fu Zhang

Proceedings of the 15th IEEE International Conference on ASIC, 2023

2022

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

Hongtian Chen, Zheng Chai, Oguzhan Dogru, Bin Jiang, Biao Huang

IEEE Trans. Neural Networks Learn. Syst., 2022

A Deep Probabilistic Transfer Learning Framework for Soft Sensor Modeling With Missing Data.

Zheng Chai, Chunhui Zhao, Biao Huang, Hongtian Chen

IEEE Trans. Neural Networks Learn. Syst., 2022

A Single-Side Neural Network-Aided Canonical Correlation Analysis With Applications to Fault Diagnosis.

Hongtian Chen, Zhiwen Chen, Zheng Chai, Bin Jiang, Biao Huang

IEEE Trans. Cybern., 2022

Variational Progressive-Transfer Network for Soft Sensing of Multirate Industrial Processes.

Zheng Chai, Chunhui Zhao, Biao Huang

IEEE Trans. Cybern., 2022

Multisource-Refined Transfer Network for Industrial Fault Diagnosis Under Domain and Category Inconsistencies.

Zheng Chai, Chunhui Zhao, Biao Huang

IEEE Trans. Cybern., 2022

Fault-Prototypical Adapted Network for Cross-Domain Industrial Intelligent Diagnosis.

Zheng Chai, Chunhui Zhao

IEEE Trans Autom. Sci. Eng., 2022

Synaptic 1/f noise injection for overfitting suppression in hardware neural networks.

Yan Du, Wei Shao, Zheng Chai, Hanzhang Zhao, Qihui Diao, Yawei Gao, Xihui Yuan, Qiaoqiao Wang, Tao Li, Weidong Zhang, Jian Fu Zhang, Tai Min

Neuromorph. Comput. Eng., 2022

A novel random multi-subspace based ReliefF for feature selection.

Baoshuang Zhang, Yanying Li, Zheng Chai

Knowl. Based Syst., 2022

Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization.

Zheng Chai, Guangji Bai, Liang Zhao, Yue Cheng

CoRR, 2022

User-Aware Multi-Interest Learning for Candidate Matching in Recommenders.

Zheng Chai, Zhihong Chen, Chenliang Li, Rong Xiao, Houyi Li, Jiawei Wu, Jingxu Chen, Haihong Tang

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.

Qian Chen, Zheng Chai, Zilong Wang, Jiawei Chen, Haonan Yan, Xiaodong Lin

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.

Min Zhang, Keyuan Yang, Zheng Chai, Hai Wang, Zhengtao Ding, Weimin Bao

IEEE Trans. Instrum. Meas., 2021

Data-Driven Fault Detection for Dynamic Systems With Performance Degradation: A Unified Transfer Learning Framework.

Hongtian Chen, Zheng Chai, Bin Jiang, Biao Huang

IEEE Trans. Instrum. Meas., 2021

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

Meixiang Quan, Zheng Chai, Xiao Liu

CoRR, 2021

Method Towards CVPR 2021 SimLocMatch Challenge.

Xiaopeng Bi, Ran Yan, Zheng Chai, Haotian Zhang, Xiao Liu

CoRR, 2021

Method Towards CVPR 2021 Image Matching Challenge.

Xiaopeng Bi, Yu Chen, Xinyang Liu, Dehao Zhang, Ran Yan, Zheng Chai, Haotian Zhang, Xiao Liu

CoRR, 2021

Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM framework.

Junxiang Wang, Hongyi Li, Zheng Chai, Yongchao Wang, Yue Cheng, Liang Zhao

CoRR, 2021

FedAT: a high-performance and communication-efficient federated learning system with asynchronous tiers.

Zheng Chai, Yujing Chen, Ali Anwar, Liang Zhao, Yue Cheng, Huzefa Rangwala

Proceedings of the International Conference for High Performance Computing, 2021

Asynchronous Federated Learning for Sensor Data with Concept Drift.

Yujing Chen, Zheng Chai, Yue Cheng, Huzefa Rangwala

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.

Zheng Chai, Pedro Freitas, Weidong Zhang, Jian Fu Zhang, John S. Marsland

Proceedings of the 14th IEEE International Conference on ASIC, 2021

2020

Multiclass Oblique Random Forests With Dual-Incremental Learning Capacity.

Zheng Chai, Chunhui Zhao

IEEE Trans. Neural Networks Learn. Syst., 2020

Enhanced Random Forest With Concurrent Analysis of Static and Dynamic Nodes for Industrial Fault Classification.

Zheng Chai, Chunhui Zhao

IEEE Trans. Ind. Informatics, 2020

A Fine-Grained Adversarial Network Method for Cross-Domain Industrial Fault Diagnosis.

Zheng Chai, Chunhui Zhao

IEEE Trans Autom. Sci. Eng., 2020

FedAT: A Communication-Efficient Federated Learning Method with Asynchronous Tiers under Non-IID Data.

Zheng Chai, Yujing Chen, Liang Zhao, Yue Cheng, Huzefa Rangwala

CoRR, 2020

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

Junxiang Wang, Zheng Chai, Yue Cheng, Liang Zhao

CoRR, 2020

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

Yujing Chen, Yue Ning, Zheng Chai, Huzefa Rangwala

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Toward Model Parallelism for Deep Neural Network based on Gradient-free ADMM Framework.

Junxiang Wang, Zheng Chai, Yue Cheng, Liang Zhao

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

TiFL: A Tier-based Federated Learning System.

Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng

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.

Dovydas Joksas, Pedro Freitas, Zheng Chai, Wing H. Ng, Mark Buckwell, Weidong Zhang, Anthony J. Kenyon, Adnan Mehonic

CoRR, 2019

Federated Multi-task Hierarchical Attention Model for Sensor Analytics.

Yujing Chen, Yue Ning, Zheng Chai, Huzefa Rangwala

CoRR, 2019

IMRL: An Improved Inertial-Aided KLT Feature Tracker.

Meixiang Quan, Beipeng Mu, Zheng Chai

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.

Zheng Chai, Hannan Fayyaz, Zeshan Fayyaz, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Heiko Ludwig, Yue Cheng

Proceedings of the 2019 USENIX Conference on Operational Machine Learning, 2019

2018

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

Yue Cheng, Zheng Chai, Ali Anwar

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.

Zheng Chai, Takafumi Matsumaru

J. Robotics Mechatronics, 2017