A user peak load staggering potential assessment method based on three-demarcation analytic hierarchy process. - Feng Zhai; Wei Cen; Jia Zhao; Peng Xu; Yi Sun (SKIMA, 2016)

Self-organized cyber physical power system blockchain architecture and protocol. - Ting Yang 002; Feng Zhai; Jialin Liu; Meng Wang; Haibo Pen (Int. J. Distributed Sens. Networks, 2018)

Design and Research of Trusted Acquisition Terminals Based on Domestic Password. - Yun Feng 004; Xiaobing Liang; Feng Zhai; Meng Xu (AINA Workshops, 2019)

Terminal Access Data Anomaly Detection Based on GBDT for Power User Electric Energy Data Acquisition System. - Qian Ma; Bin Xu; Bang Sun; Feng Zhai; Baojiang Cui (EIDWT, 2019)

Optimal Multi-Timescale Demand Side Scheduling Considering Dynamic Scenarios of Electricity Demand. - Zhejing Bao; Wanrong Qiu; Lei Wu 004; Feng Zhai; Wenjing Xu; Baofeng Li; Zhijie Li (IEEE Trans. Smart Grid, 2019)

The Application of Visualization of Internet of Things in Online Teaching of Mobile Interactive Interface Optimization. - Feng Zhai; Ling-Wei Zhu (ADHIP (2), 2020)

Research on Dynamic Integration of Multi-objective Data in UI Color Interface. - Ling-Wei Zhu; Feng Zhai (ADHIP (2), 2020)

Design of a Miniature Communication Conversion Module Applied in the Power Internet of Things. - Feng Zhai; Xiaobing Liang; Wei Cen; Yilun Fu; Yong-Feng Cao; Jin-Kai Sun; Jia-Yi Liu (ICCT, 2020)

Weakly-supervised large-scale image modeling for sport scenes and its applications. - Congsheng Lu; Feng Zhai (J. Vis. Commun. Image Represent., 2020)

Research on the Interdisciplinary Cooperative Teaching Mode of Computer Major in Liberal Arts Major under the Background of Discipline Integration. - Feng Zhai (ICISCAE (ACM), 2021)

Power Meter Software Quality Analysis Based on Dynamic Binary Instrumentation. - Feng Zhai; Lingda Kong; Yongjin Yu; Xin Ye (IMIS, 2021)

A Privacy-Preserving Blockchain-based Energy Supply Chain System Supporting Supervision. - Zhihu Li; Bing Zhao; Hongxia Guo; Feng Zhai; Lin Li (CyberC, 2022)

Design of L-IDAKA Protocol for Lightweight Access Authentication and Encrypted Transmission of New Power System-Aware Terminals Based on Hash Pre-authentication. - Yun Feng 004; Feng Zhai; Xiaobing Liang; Liang Zhang (EITCE, 2022)

The Research about RFID Electronic Seal On-Site Sealing Technology Based on Cryptographic Algorithms. - Baofeng Li; Feng Zhai; Yilun Fu; Wei Cen (ICISCAE, 2022)

A Privacy-Preserving, Two-Party, Secure Computation Mechanism for Consensus-Based Peer-to-Peer Energy Trading in the Smart Grid. - Zhihu Li; Haiqing Xu; Feng Zhai; Bing Zhao; Meng Xu; Zhenwei Guo (Sensors, 2022)

Privacy-Preserving Outsourcing Algorithms for Multidimensional Data Encryption in Smart Grids. - Feng Zhai; Ting Yang 002; Bing Zhao; Hao Chen (Sensors, 2022)

UAV-assisted Blockchain-based Electric Power Grid Inspection System. - Zhihu Li; Bing Zhao; Hongxia Guo; Feng Zhai; Lin Li (CyberC, 2023)

Research on Data Security of New Energy Business Based on Hadoop. - Bin Xu; Feng Zhai; Xiaobing Liang; Baofeng Li; Qi Zhou (PCCNT, 2023)

Multi-Party Audit and Regulatory Mechanism for P2P Electricity Transaction Based on Distributed Traceable Linkable Group Signature. - Zhihu Li; Bing Zhao; Hongxia Guo; Feng Zhai; Lin Li (IEEE Access, 2023)

A Privacy-Preserving Consensus Mechanism for ADMM-Based Peer-to-Peer Energy Trading. - Zhihu Li; Bing Zhao; Hongxia Guo; Feng Zhai; Lin Li (Symmetry, 2023)

A contrastive autoencoder with multi-resolution segment-consistency discrimination for multivariate time series anomaly detection. - Bing Xue; Xin Gao; Feng Zhai; Baofeng Li; Jiahao Yu; Shiyuan Fu; Lingli Chen; Zhihang Meng (Appl. Intell., 2023)

Multivariate time series anomaly detection via separation, decomposition, and dual transformer-based autoencoder. - Shiyuan Fu; Xin Gao; Baofeng Li; Feng Zhai; Jiansheng Lu; Bing Xue; Jiahao Yu; Chun Xiao (Appl. Soft Comput., 2024)

An adversarial contrastive autoencoder for robust multivariate time series anomaly detection. - Jiahao Yu; Xin Gao; Feng Zhai; Baofeng Li; Bing Xue; Shiyuan Fu; Lingli Chen; Zhihang Meng (Expert Syst. Appl., 2024)

An imbalanced contrastive classification method via similarity comparison within sample-neighbors with adaptive generation coefficient. - Zhihang Meng; Xin Gao; Feng Zhai; Baofeng Li; Chun Xiao; Qiangwei Li; Bing Xue; Jiansheng Lu (Inf. Sci., 2024)

A robust multi-scale feature extraction framework with dual memory module for multivariate time series anomaly detection. - Bing Xue; Xin Gao; Baofeng Li; Feng Zhai; Jiansheng Lu; Jiahao Yu; Shiyuan Fu; Chun Xiao (Neural Networks, 2024)

A filter-augmented auto-encoder with learnable normalization for robust multivariate time series anomaly detection. - Jiahao Yu; Xin Gao; Baofeng Li; Feng Zhai; Jiansheng Lu; Bing Xue; Shiyuan Fu; Chun Xiao (Neural Networks, 2024)

A time series anomaly detection method based on series-parallel transformers with spatial and temporal association discrepancies. - Shiyuan Fu; Xin Gao; Feng Zhai; Baofeng Li; Bing Xue; Jiahao Yu; Zhihang Meng; Guangyao Zhang (Inf. Sci., 2024)

A dual-reconstruction self-rectification framework with momentum memory-augmented network for multivariate time series anomaly detection. - Bing Xue; Xin Gao; Heping Lu; Baofeng Li; Feng Zhai; Meng Xu; Taizhi Wang; Jiawen Lu (Appl. Soft Comput., 2025)

A feature matching-based method for few-shot multivariate time series anomaly detection with symmetric patch mask Siam Transformer. - Jiahao Yu; Xin Gao; Taizhi Wang; Heping Lu; Baofeng Li; Feng Zhai; Bing Xue; Zhihang Meng (Eng. Appl. Artif. Intell., 2025)

A multimodal data generation method for imbalanced classification with dual-discriminator constrained diffusion model and adaptive sample selection strategy. - Qiangwei Li; Xin Gao; Heping Lu; Baofeng Li; Feng Zhai; Taizhi Wang; Zhihang Meng; Yu Hao (Inf. Fusion, 2025)

A meta-learning imbalanced classification framework via boundary enhancement strategy with Bayes imbalance impact index. - Qiangwei Li; Xin Gao; Heping Lu; Baofeng Li; Feng Zhai; Taizhi Wang; Zhihang Meng; Yu Hao (Neural Networks, 2025)

A non-uniform low-light image enhancement method with multi-scale attention transformer and luminance consistency loss. - Xiao Fang; Xin Gao; Baofeng Li; Feng Zhai; Yu Qin; Zhihang Meng; Jiansheng Lu; Chun Xiao (Vis. Comput., 2025)

A Generalized Few-Shot Object Detection Method via Extraction of Base-Novel Commonality With Memory Distillation of Category Prototypes. - Junchi Su; Xin Gao; Heping Lu; Baofeng Li; Feng Zhai; Xiao Fang; Taizhi Wang; Qiangwei Li (IEEE Trans. Circuits Syst. Video Technol., 2025)