Research on Fault Fuzzy Clustering Method for Reducing False Alarm by New Three States Demarcation. - Shunming Li; Xianglei Chu (FSKD (4), 2007)

The Application of Fuzzy Logic in Exploration Vehicle. - Jianghui Xin; Shunming Li; Qingbin Liao; Rixin Zhan (FSKD (4), 2007)

Analysis of Signal Transmission with Temperature-Dependent Electrical Parameters Using FDTD. - Xiuhua Men; Shunming Li; Zemin Zuo (CIS (1), 2008)

Application of fuzzy logic and support vector machine to the control of exploration vehicle. - Shunming Li; Jianghui Xin; Mujin An; Yuanyuan Zhang (ICNC, 2010)

A New Transfer Learning Method and its Application on Rotating Machine Fault Diagnosis Under Variant Working Conditions. - Weiwei Qian; Shunming Li; Jinrui Wang (IEEE Access, 2018)

A novel supervised sparse feature extraction method and its application on rotating machine fault diagnosis. - Weiwei Qian; Shunming Li; Jinrui Wang; Qijun Wu (Neurocomputing, 2018)

Generalization of Deep Neural Networks for Imbalanced Fault Classification of Machinery Using Generative Adversarial Networks. - Jinrui Wang; Shunming Li; Baokun Han; Zenghui An; Huaiqian Bao; Shanshan Ji (IEEE Access, 2019)

Adaptive Reinforced Empirical Morlet Wavelet Transform and Its Application in Fault Diagnosis of Rotating Machinery. - Yu Xin; Shunming Li; Zongzhen Zhang; Zenghui An; Jinrui Wang (IEEE Access, 2019)

Generalization of deep neural network for bearing fault diagnosis under different working conditions using multiple kernel method. - Zenghui An; Shunming Li; Jinrui Wang; Yu Xin; Kun Xu (Neurocomputing, 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)

Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning. - Huan Fu; Shunming Li; Rongfei Jia; Mingming Gong; Binqiang Zhao; Dacheng Tao (NeurIPS, 2020)

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)

A Novel Data-Driven Fault Feature Separation Method and Its Application on Intelligent Fault Diagnosis Under Variable Working Conditions. - Shunming Li; Zenghui An; Jiantao Lu (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)

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)

Sparse filtering based domain adaptation for mechanical fault diagnosis. - Zhongwei Zhang; Huaihai Chen; Shunming Li; Zenghui An (Neurocomputing, 2020)

A novel geodesic flow kernel based domain adaptation approach for intelligent fault diagnosis under varying working condition. - Zhongwei Zhang; Huaihai Chen; Shunming Li; Zenghui An; Jinrui Wang (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)

Discriminative feature-based adaptive distribution alignment (DFADA) for rotating machine fault diagnosis under variable working conditions. - Weiwei Qian; Shunming Li; Tong Yao; Kun Xu (Appl. Soft Comput., 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)

Crowd-aware Black Pig Detection for Low Illumination. - Cheng Zhang 029; Shunming Li; Zeyuan Li; Na Wu; Qian Miao; Shijia Li (ICVIP, 2022)

A Novel Symmetric Stacked Autoencoder for Adversarial Domain Adaptation Under Variable Speed. - Ranran Li; Shunming Li; Kun Xu; Xianglian Li; Jiantao Lu; Mengjie Zeng (IEEE Access, 2022)

Adaptive nearest neighbor reconstruction with deep contractive sparse filtering for fault diagnosis of roller bearings. - Weiwei Qian; Shunming Li; Jiantao Lu (Eng. Appl. Artif. Intell., 2022)

Weak Signal Detection Based on Lifting Wavelet Threshold Denoising and Multi-Layer Autocorrelation Method. - Yuzhe Hou; Shunming Li; Huijie Ma; Siqi Gong; Tianyi Yu (J. Commun., 2022)

Deep Sparse Topology Network for Robust Bearing Fault Diagnosis by Maximizing Prior Knowledge Functions. - Weiwei Qian; Shunming Li; Jiantao Lu (IEEE Trans. Ind. Informatics, 2022)

Incremental Object Detection based on YOLO v5 and EWC Models. - Zeyuan Li; Xinyan Liu; Cheng Zhang 029; Shunming Li; Zhiyu Xi; Wei Deng 003 (AIPR, 2023)

Rolling Bearing Composite Fault Diagnosis Method Based on Enhanced Harmonic Vector Analysis. - Jiantao Lu; Qitao Yin; Shunming Li (Sensors, 2023)

An Improved Underdetermined Blind Source Separation Method for Insufficiently Sparse Sources. - Jiantao Lu; Weiwei Qian; Qitao Yin; Kun Xu; Shunming Li (Circuits Syst. Signal Process., 2023)

A modified active learning intelligent fault diagnosis method for rolling bearings with unbalanced samples. - Jiantao Lu; Wei Wu; Xin Huang; Qitao Yin; Kuangzhi Yang; Shunming Li (Adv. Eng. Informatics, 2024)

Nonlinear Blind Deconvolution Based on Generalized Normalized lp/lq Norm for Early Fault Detection. - Siqi Gong; Shunming Li; Zongzhen Zhang; Min Xia 001 (IEEE Trans. Instrum. Meas., 2024)

A CMOS Current Sensing Interface With Sub-pA DC Uncertainty. - Lin He; Hengzhuang Shi; Junhui Zhang; Mingxiang Wei; Ping Wang; Shunming Li; Hao Gao 001; Zhikuang Cai (IEEE Trans. Circuits Syst. II Express Briefs, 2024)