A Blind Source Separation Algorithm with Linear Prediction Filters. - Zhijin Zhao; Fei Mei; Jiandong Li 001 (ISNN (1), 2004)

Automatic Modulation Classification by Support Vector Machines. - Zhijin Zhao; Yunshui Zhou; Fei Mei; Jiandong Li 001 (ISNN (1), 2004)

A Concurrent Skip List Balanced on Search. - Fei Mei; Qiang Cao 001; Fei Wu 005; Hongyan Li 003 (APPT, 2017)

Adaptive fault diagnosis of HVCBs based on P-SVDD and P-KFCM. - Kedong Zhu; Fei Mei; Jianyong Zheng (Neurocomputing, 2017)

On-line hybrid fault diagnosis method for high voltage circuit breaker. - Fei Mei; Pan Yi; Kedong Zhu; Jianyong Zheng (J. Intell. Fuzzy Syst., 2017)

SifrDB: A Unified Solution for Write-Optimized Key-Value Stores in Large Datacenter. - Fei Mei; Qiang Cao 001; Hong Jiang 001; Jingjun Li (SoCC, 2018)

On-line fault diagnosis model for locomotive traction inverter based on wavelet transform and support vector machine. - Fei Mei; Liu Ning; Miao Huiyu; Pan Yi; Haoyuan Sha; Jianyong Zheng (Microelectron. Reliab., 2018)

Ubiquitous power Internet of Things technology for equipment monitoring. - Deyang Yin; Fei Mei; Weiguo He; Jianyong Zheng (IECON, 2019)

Classification of the Type of Harmonic Source Based on Image-Matrix Transformation and Deep Convolutional Neural Network. - Fei Mei; Haoyuan Sha (IEEE Access, 2019)

Analysis on Integrated Energy System Cascading Failures Considering Interaction of Coupled Heating and Power Networks. - Yi Pan; Fei Mei; Cheng Zhou; Tian Shi; Jianyong Zheng (IEEE Access, 2019)

Multi-Harmonic Sources Harmonic Contribution Determination Based on Data Filtering and Cluster Analysis. - Haoyuan Sha; Fei Mei; Chenyu Zhang; Pan Yi; Jianyong Zheng; Taoran Li (IEEE Access, 2019)

Novel Topology of DC Energy-Released Circuit For Saturated-Core Fault Current Limiter. - Haocong Shen; Fei Mei; Hongfei Chen; Jianyong Zheng (IEEE Access, 2019)

LSM-Tree Managed Storage for Large-Scale Key-Value Store. - Fei Mei; Qiang Cao 001; Hong Jiang 001; Lei Tian 001 (IEEE Trans. Parallel Distributed Syst., 2019)

Day-Ahead Nonparametric Probabilistic Forecasting of Photovoltaic Power Generation Based on the LSTM-QRA Ensemble Model. - Fei Mei; Jiaqi Gu; Jixiang Lu; Jinjun Lu; Jiatang Zhang; Yuhan Jiang; Tian Shi; Jianyong Zheng (IEEE Access, 2020)

Ash-Covered State Evaluation and Alarm of Distributed Photovoltaic System Considering Full Lifetime Degradation. - Deyang Yin; Fei Mei; Jianyong Zheng; Weiguo He (IEEE Access, 2020)

A Novel Multi-Stage Forest-Based Key-Value Store for Holistic Performance Improvement. - Ziyi Lu; Qiang Cao 001; Fei Mei; Hong Jiang 001; Jingjun Li (IEEE Trans. Parallel Distributed Syst., 2020)

Two-Stage Joint Optimal Scheduling of a Distribution Network With Integrated Energy Systems. - Yuhan Jiang; Fei Mei; Jixiang Lu; Jinjun Lu (IEEE Access, 2021)

Towards Subjective Experience Prediction for Time-Delayed Teleoperation with Haptic Data Reduction. - Zican Wang; Fei Mei; Xiao Xu 001; Eckehard G. Steinbach (RO-MAN, 2022)

Force: Highly Efficient Four-Party Privacy-Preserving Machine Learning on GPU. - Tianxiang Dai; Li Duan; Yufan Jiang; Yong Li 021; Fei Mei; Yulian Sun (NordSec, 2023)

Force: Making 4PC > 4 × PC in Privacy Preserving Machine Learning on GPU. - Tianxiang Dai; Li Duan; Yufan Jiang; Yong Li 021; Fei Mei; Yulian Sun (IACR Cryptol. ePrint Arch., 2023)

Electricity Theft Detection Based on Contrastive Learning and Non-Intrusive Load Monitoring. - Ang Gao; Fei Mei; Jianyong Zheng; Haoyuan Sha; Menglei Guo; Yang Xie (IEEE Trans. Smart Grid, 2023)

The real-time state identification of the electricity-heat system based on Borderline-SMOTE and XGBoost. - Xin Pei; Fei Mei; Jiaqi Gu (IET Cyper-Phys. Syst.: Theory & Appl., 2023)

SiGBDT: Large-Scale Gradient Boosting Decision Tree Training via Function Secret Sharing. - Yufan Jiang; Fei Mei; Tianxiang Dai; Yong Li 021 (AsiaCCS, 2024)

DeepFetch: A Node-Aware Greedy Fetch System for Distributed Cache of Deep Learning Applications. - Lijuan Kong; Fei Mei; Chunjie Zhu; Wen Cheng; Lingfang Zeng (NAS, 2024)

NodeGuard: A Highly Efficient Two-Party Computation Framework for Training Large-Scale Gradient Boosting Decision Tree. - Tianxiang Dai; Yufan Jiang; Yong Li 021; Fei Mei (IACR Cryptol. ePrint Arch., 2024)

Substation-Level Flexible Load Disaggregation Based on Hierarchical Federated Perception Algorithm. - Ang Gao; Jianyong Zheng; Fei Mei; Yu Liu 010 (IEEE Trans. Smart Grid, 2024)

MindSpeed RL: Distributed Dataflow for Scalable and Efficient RL Training on Ascend NPU Cluster. - Laingjun Feng; Chenyi Pan; Xinjie Guo; Fei Mei; Benzhe Ning; Jianxiang Zhang; Xinyang Liu; Beirong Zhou; Zeng Shu; Chang Liu; Guang Yang; Zhenyu Han; et al. (CoRR, 2025)