Reproducible broadband optical noise generation based on phase modulation to intensity modulation conversion and a nonlinear transformation. - Xingxing Jiang; Mengfan Cheng; Fengguang Luo; Lei Deng 006; Changjian Ke; Songnian Fu; Ming Tang 005; Minming Zhang; Perry Ping Shum; Deming Liu (OFC, 2017)

Stacked Sparse Autoencoder-Based Deep Network for Fault Diagnosis of Rotating Machinery. - Yumei Qi; Changqing Shen; Dong Wang 001; Juanjuan Shi; Xingxing Jiang; Zhongkui Zhu (IEEE Access, 2017)

High-Speed Optical Secure Communication System Using Phase Modulated Random Noise. - Yudi Fu; Mengfan Cheng; Xingxing Jiang; Lei Deng 006; Minming Zhang; Deming Liu (ICAIT, 2018)

Automatic instantaneous frequency order (IFO) extraction via integration strategy and multi-demodulation for bearing fault diagnosis under variable speed operation. - Juanjuan Shi; Xingxing Jiang; Ming Liang; Rongmei Ding; Zhongkui Zhu (J. Intell. Fuzzy Syst., 2018)

A Coarse TF Ridge-Guided Multi-Band Feature Extraction Method for Bearing Fault Diagnosis Under Varying Speed Conditions. - Wenjun Guo; Xingxing Jiang; Ning Li 020; Juanjuan Shi; Zhongkui Zhu (IEEE Access, 2019)

Multi-Bandwidth Mode Manifold for Fault Diagnosis of Rolling Bearings. - Tao Jiang; Jun Wang 026; Changqing Shen; Xingxing Jiang; Zhongkui Zhu (IEEE Access, 2019)

A New Deep Fusion Network for Automatic Mechanical Fault Feature Learning. - Yumei Qi; Changqing Shen; Jun Zhu 012; Xingxing Jiang; Juanjuan Shi; Zhongkui Zhu (IEEE Access, 2019)

Dual-Guidance-Based Optimal Resonant Frequency Band Selection and Multiple Ridge Path Identification for Bearing Fault Diagnosis Under Time-Varying Speeds. - Juanjuan Shi; Weiguo Huang; Changqing Shen; Xingxing Jiang; Zhongkui Zhu (IEEE Access, 2019)

Batch-normalized deep neural networks for achieving fast intelligent fault diagnosis of machines. - Jinrui Wang; Shunming Li; Zenghui An; Xingxing Jiang; Weiwei Qian; Shanshan Ji (Neurocomputing, 2019)

Deep transfer network for rotating machine fault analysis. - Weiwei Qian; Shunming Li; Xingxing Jiang (Pattern Recognit., 2019)

Time-Frequency Squeezing and Generalized Demodulation Combined for Variable Speed Bearing Fault Diagnosis. - Weiguo Huang; Guanqi Gao; Ning Li 020; Xingxing Jiang; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2019)

Dual-Enhanced Sparse Decomposition for Wind Turbine Gearbox Fault Diagnosis. - Lin Wang; Gaigai Cai; Jun Wang 026; Xingxing Jiang; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2019)

Adaptive Cross-Domain Feature Extraction Method and Its Application on Machinery Intelligent Fault Diagnosis Under Different Working Conditions. - Zenghui An; Shunming Li; Xingxing Jiang; Yu Xin; Jinrui Wang (IEEE Access, 2020)

An Optimization Tendency Guiding Mode Decomposition Method for Bearing Fault Detection Under Varying Speed Conditions. - Xingxing Jiang; Wenjun Guo; Guifu Du; Juanjuan Shi; Zhongkui Zhu (IEEE Access, 2020)

A Novel Data Augmentation Method for Intelligent Fault Diagnosis Under Speed Fluctuation Condition. - Xiaoyu Wang 007; Zhenyun Chu; Baokun Han; Jinrui Wang; Guowei Zhang; Xingxing Jiang (IEEE Access, 2020)

An Intelligent Deep Feature Learning Method With Improved Activation Functions for Machine Fault Diagnosis. - Wei You; Changqing Shen; Dong Wang 001; Liang Chen; Xingxing Jiang; Zhongkui Zhu (IEEE Access, 2020)

Secure 100 Gb/s IMDD Transmission Over 100 km SSMF Enabled by Quantum Noise Stream Cipher and Sparse RLS-Volterra Equalizer. - Quan Yu; Yang Wang; Di Li; Haiping Song; Yudi Fu; Xingxing Jiang; Linbojie Huang; Mengfan Cheng; Deming Liu; Lei Deng 006 (IEEE Access, 2020)

A Novel Unsupervised Learning Method Based on Cross-Normalization for Machinery Fault Diagnosis. - Zongzhen Zhang; Shunming Li; Jiantao Lu; Jinrui Wang; Xingxing Jiang (IEEE Access, 2020)

An Enhanced VMD with the Guidance of Envelope Negentropy Spectrum for Bearing Fault Diagnosis. - Haien Wang; Xingxing Jiang; Wenjun Guo; Juanjuan Shi; Zhongkui Zhu (Complex., 2020)

Deep Adaptive Adversarial Network-Based Method for Mechanical Fault Diagnosis under Different Working Conditions. - Jinrui Wang; Shanshan Ji; Baokun Han; Huaiqian Bao; Xingxing Jiang (Complex., 2020)

A renewable fusion fault diagnosis network for the variable speed conditions under unbalanced samples. - Kun Xu; Shunming Li; Xingxing Jiang; Zenghui An; Jinrui Wang; Tianyi Yu (Neurocomputing, 2020)

Enhanced sparse filtering with strong noise adaptability and its application on rotating machinery fault diagnosis. - Zongzhen Zhang; Shunming Li; Jinrui Wang; Yu Xin; Zenghui An; Xingxing Jiang (Neurocomputing, 2020)

Nonconvex Group Sparsity Signal Decomposition via Convex Optimization for Bearing Fault Diagnosis. - Weiguo Huang; Ning Li 020; Ivan W. Selesnick; Juanjuan Shi; Jun Wang 026; Lei Mao; Xingxing Jiang; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2020)

Retrieval of High Resolution Aerosol Optical Depth by Synergetic Use of GF-1 WFV and Aqua Modis Data Over Land. - Rui Bai 005; Yong Xue; Xingxing Jiang; Chunlin Jin; Na Li; Xiaopeng Zhang (IGARSS, 2021)

Retrieval of Aerosol Optical Depth Over Land Using Fy-4Aagri Geostationary Satellite Data. - Xingxing Jiang; Yong Xue; Chunlin Jin; Rui Bai 005; Na Li; Yuxin Sun (IGARSS, 2021)

Retrieval and Validation of Long-Term Aerosol Optical Depth from AVHRR Over China Mainland. - Chunlin Jin; Yong Xue; Xingxing Jiang; Rui Bai 005; Yuxin Sun; Shuhui Wu (IGARSS, 2021)

FY-4A AOD Based Estimates the Mass Concentration of PM2.5 and PM10 on Land. - Yuxin Sun; Yong Xue; Kai Qin; Xiran Zhou; Xingxing Jiang; Chunlin Jin; Shuhui Wu (IGARSS, 2021)

An intelligent diagnosis framework for roller bearing fault under speed fluctuation condition. - Baokun Han; Shanshan Ji; Jinrui Wang; Huaiqian Bao; Xingxing Jiang (Neurocomputing, 2021)

Parallel sparse filtering for intelligent fault diagnosis using acoustic signal processing. - Shanshan Ji; Baokun Han; Zongzhen Zhang; Jinrui Wang; Bo Lu; Jiawei Yang; Xingxing Jiang (Neurocomputing, 2021)

Self-learning transferable neural network for intelligent fault diagnosis of rotating machinery with unlabeled and imbalanced data. - Zenghui An; Xingxing Jiang; Jing Cao; Rui Yang 026; Xuegang Li (Knowl. Based Syst., 2021)

A novel transfer diagnosis method under unbalanced sample based on discrete-peak joint attention enhancement mechanism. - Kun Xu; Shunming Li; Xingxing Jiang; Jiantao Lu; Tianyi Yu; Ranran Li (Knowl. Based Syst., 2021)

Improved Bi-Angle Aerosol Optical Depth Retrieval Algorithm from AHI Data Based on Particle Swarm Optimization. - Chunlin Jin; Yong Xue; Xingxing Jiang; Yuxin Sun; Shuhui Wu (Remote. Sens., 2021)

Estimation of the PM2.5 and PM10 Mass Concentration over Land from FY-4A Aerosol Optical Depth Data. - Yuxin Sun; Yong Xue; Xingxing Jiang; Chunlin Jin; Shuhui Wu; Xiran Zhou (Remote. Sens., 2021)

Lifelong Learning for Bearing Fault Diagnosis with Incremental Fault Types. - Bojian Chen; Chuancang Ding; Xingxing Jiang; Juanjuan Shi; Weiguo Huang; Changqing Shen (ICPHM, 2022)

An Enhanced Sparse Filtering Fusion Method for Bearing Fault Diagnosis. - Demin Peng; Xingxing Jiang; Qiuyu Song; Zhongkui Zhu (ICPHM, 2022)

Aerosol Single Scattering Albedo Estimated Across East Asia from Advanced Himawari Image Data. - Xingxing Jiang; Yong Xue; Chunlin Jin; Runze Liu; Rui Bai 005; Yuxin Sun; Shuhui Wu (IGARSS, 2022)

The Fusion Algorithm of XCO2 Products: Applied to GOSAT. - Chunlin Jin; Yong Xue; Liang Zhao; Xingxing Jiang; Tao Yuan; Yuxin Sun; Shuhui Wu (IGARSS, 2022)

RESEARCH ON THE POTENTIAL EMISSION SOURCE AREAS OF THE PRIMARY AIR POLLUTANTS IN XUZHOU CITY. - Wenhao Liu; Yong Xue; Xiaolu Ling; Yuxin Sun; Xingxing Jiang; Xiangkai Wang; Botao He (IGARSS, 2022)

Estimation of PM2.5 and PM10 Mass Concentrations in Mining City Cluster from Gaofen-L Aerosol Optical Depth data and Chemical Transport Model. - Yuxin Sun; Yong Xue; Rui Bai 005; Tengfei Cui; Shuhui Wu; Xingxing Jiang; Chunlin Jin; Xiran Zhou (IGARSS, 2022)

Optimal Assignment Strategy for Dynamic Workflow of Remote Sensing Big Data Processing. - Sheng Zhang; Yong Xue; Yang Ming; Xiaopeng Zhang; Chunlin Jin; Xingxing Jiang; Xiran Zhou (IGARSS, 2022)

Multi-perspective deep transfer learning model: A promising tool for bearing intelligent fault diagnosis under varying working conditions. - Xuegang Li; Xingxing Jiang; Qian Wang; Lidong Yang; Zhijian Wang; Changqing Shen; Zhongkui Zhu (Knowl. Based Syst., 2022)

Transferable graph features-driven cross-domain rotating machinery fault diagnosis. - Chaoying Yang; Jie Liu 017; Kaibo Zhou; Ming-Feng Ge; Xingxing Jiang (Knowl. Based Syst., 2022)

A Simple Band Ratio Library (BRL) Algorithm for Retrieval of Hourly Aerosol Optical Depth Using FY-4A AGRI Geostationary Satellite Data. - Xingxing Jiang; Yong Xue; Chunlin Jin; Rui Bai 005; Yuxin Sun; Shuhui Wu (Remote. Sens., 2022)

Adaptive Swarm Decomposition Guided by Spectral Characteristic Information Scanner and Its Application for Bearing Fault Diagnosis. - Qiuyu Song; Xingxing Jiang; Jie Liu 017; Xin Wang 151; Guifu Du; Jianying Zheng; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2022)

Self-Adaptive Multivariate Variational Mode Decomposition and Its Application for Bearing Fault Diagnosis. - Qiuyu Song; Xingxing Jiang; Shuang Wang; Jianfeng Guo; Weiguo Huang; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2022)

A Node-Level PathGraph-Based Bearing Remaining Useful Life Prediction Method. - Chaoying Yang; Jie Liu 017; Kaibo Zhou; Xingxing Jiang; Ming-Feng Ge; Yiben Liu (IEEE Trans. Instrum. Meas., 2022)

Retrieval and validation of long-term aerosol optical depth from AVHRR data over China. - Chunlin Jin; Yong Xue; Xingxing Jiang; Shuhui Wu; Yuxin Sun (Int. J. Digit. Earth, 2022)

Retrieval of Aerosol Single Scattering Albedo Over Land Using Geostationary Satellite Data. - Xingxing Jiang; Yong Xue; Chunlin Jin; Yuxin Sun; Shuhui Wu; Sheng Zhang (IGARSS, 2023)

Analysis of Urban Imported Air Pollution Sources Based On MERRA-2. - Xi Lu; Yong Xue; Botao He; Shuhui Wu; Xiangkai Wang; Xingxing Jiang (IGARSS, 2023)

Estimation of Hourly PM2.5 Mass Concentration from Geostationary Satellite Aerosol Optical Depth Data. - Yuxin Sun; Yong Xue; Tengfei Cui; Xingxing Jiang; Shuhui Wu; Chunlin Jin (IGARSS, 2023)

Evaluation of Atmospheric Pollution and Estimation of Remaining Atmospheric Environmental Capacity in Xuzhou City. - Shuhui Wu; Yong Xue; Yuxin Sun; Chunlin Jin; Xingxing Jiang; Xi Lu; Wenhao Liu (IGARSS, 2023)

Sparse Low-Rank Matrix Estimation With Nonconvex Enhancement for Fault Diagnosis of Rolling Bearings. - Juntao Ma; Weiguo Huang; Yi Liao; Xingxing Jiang; Chuancang Ding; Jun Wang 026; Juanjuan Shi (IEEE Trans. Instrum. Meas., 2023)

A meta-path graph-based graph homogenization framework for machine fault diagnosis. - Chaoying Yang; Jie Liu 017; Kaibo Zhou; Xiaohui Yuan; Xingxing Jiang (Eng. Appl. Artif. Intell., 2023)

Actively Imaginative Data Augmentation for Machinery Diagnosis Under Large-Speed-Fluctuation Conditions. - Zenghui An; Xingxing Jiang; Rui Yang 026; Hanyuan Zhang; Jie Liu 017; Changqing Shen (IEEE Trans. Ind. Informatics, 2023)

Semisupervised Machine Fault Diagnosis Fusing Unsupervised Graph Contrastive Learning. - Chaoying Yang; Jie Liu 017; Kaibo Zhou; Xingxing Jiang (IEEE Trans. Ind. Informatics, 2023)

Domain-invariant feature fusion networks for semi-supervised generalization fault diagnosis. - He Ren; Jun Wang 026; Weiguo Huang; Xingxing Jiang; Zhongkui Zhu (Eng. Appl. Artif. Intell., 2023)

A health condition assessment and prediction method of Francis turbine units using heterogeneous signal fusion and graph-driven health benchmark model. - Fengyuan Zhang; Jie Liu 017; Yuxin Li; Yujie Liu; Ming-Feng Ge; Xingxing Jiang (Eng. Appl. Artif. Intell., 2023)

Feature Scalar Field Grid-Guided Optical-Flow Image Matching for Multi-View Images of Asteroid. - Sheng Zhang; Yong Xue; Yubing Tang; Ruishuan Zhu; Xingxing Jiang; Chong Niu; Wenping Yin (Remote. Sens., 2023)

A Neural Network Based on Spatial Decoupling and Patterns Diverging for Urban Rail Transit Ridership Prediction. - Yong Luo; Jianying Zheng; Xiang Wang; Yanyun Tao; Xingxing Jiang (IEEE Trans. Intell. Transp. Syst., 2023)

Spectral boundary detecting model: A promising tool for adaptive mode extraction and machinery fault diagnosis. - Xingxing Jiang; Qiuyu Song; Qian Wang; Wanliang Zhang; Chuancang Ding; Zhongkui Zhu (Adv. Eng. Informatics, 2024)

Integrated decision-making with adaptive feature weighting adversarial network for multi-target domain compound fault diagnosis of machinery. - Xuepeng Zhang; Jinrui Wang; Zongzhen Zhang; Baokun Han; Huaiqian Bao; Xingxing Jiang (Adv. Eng. Informatics, 2024)

Cloud-Edge Test-Time Adaptation for Cross-Domain Online Machinery Fault Diagnosis via Customized Contrastive Learning. - Mengliang Zhu; Jie Liu 017; Zhongxu Hu; Jiawei Liu; Xingxing Jiang; Tielin Shi (Adv. Eng. Informatics, 2024)

Self-multivariate spectral decomposition and mode-fused envelope spectrum for enhancing bearing fault feature. - Wanliang Zhang; Xin Wang 151; Can Sima; Sheng Xu; Qiuyu Song; Xingxing Jiang (Digit. Signal Process., 2024)

Data-model-interactive enhancement-based Francis turbine unit health condition assessment using graph driven health benchmark model. - Fengyuan Zhang; Jie Liu 017; Yujie Liu; Haoliang Li; Xingxing Jiang (Expert Syst. Appl., 2024)

Attention guided multi-wavelet adversarial network for cross domain fault diagnosis. - Jinrui Wang; Xuepeng Zhang; Zongzhen Zhang; Baokun Han; Xue Jiang; Huaiqian Bao; Xingxing Jiang (Knowl. Based Syst., 2024)

GT-LSTM: A spatio-temporal ensemble network for traffic flow prediction. - Yong Luo; Jianying Zheng; Xiang Wang; Yanyun Tao; Xingxing Jiang (Neural Networks, 2024)

Low-Rank Constrained Multikernel General Parameterized Time-Frequency Transform and Its Application in Rotating Machine Fault Diagnosis Under Varying Speed Condition. - Chuancang Ding; Baoxiang Wang 005; Xingxing Jiang; Guifu Du; Weiguo Huang; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2024)

Modified Feature Mode Decomposition Guided by Spectral Structure Information for Machinery Fault Diagnosis. - Tao Meng; Xingxing Jiang; Qiuyu Song; Zhihua Hu; Jianfeng Guo; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2024)

Multi-sensor data fusion-enabled semi-supervised optimal temperature-guided PCL framework for machinery fault diagnosis. - Xingxing Jiang; Xuegang Li; Qian Wang; Qiuyu Song; Jie Liu 017; Zhongkui Zhu (Inf. Fusion, 2024)

Estimation of PM2.5 and PM10 Mass Concentrations in Beijing Using Gaofen-1 Data at 100 m Resolution. - Shuhui Wu; Yuxin Sun; Rui Bai 005; Xingxing Jiang; Chunlin Jin; Yong Xue (Remote. Sens., 2024)

Spectral structure inducing efficient variational model for enhancing bearing fault feature. - Xin Wang 151; Xingxing Jiang; Qiuyu Song; Jie Liu 017; Jianfeng Guo; Zhongkui Zhu (Signal Process., 2024)

Mode-Decoupling Auto-Encoder for Machinery Fault Diagnosis Under Unknown Working Conditions. - Zenghui An; Xingxing Jiang; Jie Liu 017 (IEEE Trans. Ind. Informatics, 2024)

Residual attention guided vision transformer with acoustic-vibration signal feature fusion for cross-domain fault diagnosis. - Yan Lian; Jinrui Wang; Zhuoli Li; Wen Liu; Limei Huang; Xingxing Jiang (Adv. Eng. Informatics, 2025)

A novel adaptive gating neurons model with physical features weighted for bearing fault diagnosis under strong noise. - Panpan Guo; Weiguo Huang; Ning Jia; Chuancang Ding; Yifan Huangfu; Xingxing Jiang; Juanjuan Shi (Eng. Appl. Artif. Intell., 2025)

Self-learning guided residual shrinkage network for intelligent fault diagnosis of planetary gearbox. - Xingwang Lv; Jinrui Wang; Ranran Qin; Jihua Bao; Xue Jiang; Zongzhen Zhang; Baokun Han; Xingxing Jiang (Eng. Appl. Artif. Intell., 2025)

Heterogeneous graph contrastive learning-based transductive health condition assessment of Francis turbine unit. - Fengyuan Zhang; Jie Liu 017; Yujie Liu; Yuxin Li; Ran Duan; Zhidi Chen; Xingxing Jiang (Eng. Appl. Artif. Intell., 2025)

Log-Cumulative feature alignment for enhanced Prognosis of Aero-Engine remaining Useful life. - Yang Ge; Xingxing Jiang; Benlian Xu; Yifei Ding (Expert Syst. Appl., 2025)

Spectral feature-informed difference multi-modes decomposition for compound bearing fault diagnosis. - Tao Meng; Xingxing Jiang; Shangkuo Yang; Jie Liu 031; Hao Gao; Zhongkui Zhu (Expert Syst. Appl., 2025)

Comprehensive feature integrated capsule network for Machinery fault diagnosis. - Huangkun Xing; Xingxing Jiang; Qiuyu Song; Qian Wang; Jie Liu 017; Zhongkui Zhu (Expert Syst. Appl., 2025)

Self-supervised progressive learning for fault diagnosis under limited labeled data and varying conditions. - Qiuyu Song; Lidong Yang; Xingxing Jiang; Zhongkui Zhu (Neurocomputing, 2025)

Working condition decoupling adversarial network: A novel method for multi-target domain fault diagnosis. - Xuepeng Zhang; Jinrui Wang; Xue Jiang; Zongzhen Zhang; Baokun Han; Huaiqian Bao; Xingxing Jiang (Neurocomputing, 2025)

ST-GMLP: A concise spatial-temporal framework based on gated multi-layer perceptron for traffic flow forecasting. - Yong Luo; Jianying Zheng; Xiang Wang; Wenjuan E; Xingxing Jiang; Zhongkui Zhu (Neural Networks, 2025)

Hybrid Constraints Embedding Variational Nonlinear Chirp Mode Decomposition for Rotating Machine Fault Diagnosis Under Time-Varying Speed Conditions. - Xiaoting Huang; Chuancang Ding; Di Cheng; Baoxiang Wang 005; Xingxing Jiang; Weiguo Huang; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2025)

Gabor Wavelet Initialized Sparse Filtering: An Interpretable Network for Bearing Fault Diagnosis. - Tao Lu; Jinrui Wang; Liang Zhao; Xiaoyu Wang 007; Xingxing Jiang (IEEE Trans. Instrum. Meas., 2025)

Contrast-Assisted Domain-Specificity-Removal Network for Semi-Supervised Generalization Fault Diagnosis. - Qiuyu Song; Xingxing Jiang; Jie Liu 017; Juanjuan Shi; Zhongkui Zhu (IEEE Trans. Neural Networks Learn. Syst., 2025)