[1] Triplet metric driven multi-head GNN augmented with decoupling
adversarial learning for intelligent fault diagnosis of machines under varying
working condition. Journal of Manufacturing Systems（IF= 9.498，中科院一区TOP）, 2022;
[2] A multi-module generative adversarial network augmented with
adaptive decoupling strategy for intelligent fault diagnosis of machines with
small sample. Knowledge-Based Systems（IF=8.139，中科院一区TOP）, 2022;
[3] Prior Knowledge-Augmented Self-Supervised Feature Learning for
Few-shot Intelligent Fault Diagnosis of Machines. IEEE Transactions on
Industrial Electronics（IF=8.162，中科院一区TOP）, 2022;
[4] Multi-channel Calibrated Transformer with Shifted Windows for Few-shot Fault Diagnosis under Sharp Speed Variation.
ISA Transactions（IF=5.911，中科院小类一区TOP）, 2022;
[5] Semi-supervised meta-learning networks with
squeeze-and-excitation attention for few-shot fault diagnosis. ISA Transactions（IF=5.911，中科院小类一区TOP）, 2022;
[6] A
dual-guided adaptive decomposition method of fault information and fault sensitivity
for multi-component fault diagnosis under varying speeds. IEEE Transactions on
Instrumentation and Measurement（IF=5.332，中科院二区）, 2022;
[7] Similarity Metric-Based Metalearning Network Combining Prior Metatraining Strategy for Intelligent Fault Detection Under Small Samples Prerequisite. IEEE Transactions on Instrumentation and Measurement（IF=5.332，中科院二区）, 2022;
[8] High-temperature augmented neighborhood metric learning for cross-domain fault diagnosis with imbalanced data. Knowledge-Based Systems（IF=8.139，中科院一区TOP）, 2022;
[9]Lightweight Design of Commercial Vehicle Cab Based on Fatigue Durability. Computer Modeling in Engineering & Sciences, 2022.
[10] Semi-supervised Multi-scale Attention-aware Graph Convolution Network for Intelligent Fault Diagnosis of Machine under Extremely-limited Labeled Samples. Journal of Manufacturing Systems（IF= 9.498，中科院一区TOP）, 2022;
[11] Cross-domain intelligent bearing fault diagnosis under class imbalanced samples via transfer residual network augmented with explicit weight self-assignment strategy based on meta data. Knowledge-Based Systems（IF=8.139，中科院一区TOP）, 2022;
[12] Intelligent Fault Quantitative Identification for Industrial Internet of Things (IIoT) via a Novel Deep Dual Reinforcement Learning Model Accompanied with Insufficient Samples. IEEE Internet of Things Journal（IF= 10.238，中科院一区TOP）, 2022;
[13] Research on Teaching Reform of College Student Training Mode Based on Engineering Project Economic Evaluation of Driving Behavior with Internet of Vehicles Data. Scientific Programming, 2022;
[15] Contrastive-weighted self-supervised model for long-tailed data classification with vision transformer augmentedy, Mechanical Systems and Signal Processing（IF=8.934，中科院一区TOP）,2021;
[16] Generative adversarial network in mechanical fault diagnosis
under small sample: A systematic review on applications and future perspectives.
ISA transactions（IF=5.911，中科院小类一区TOP）, 2021;
[17] A classification method to detect faults in a rotating
machinery based on kernelled support tensor machine and multilinear principal
component analysis. Applied Intelligence（IF= 5.019，中科院二区）, 2021;
[18] Subspace Network with Shared Representation learning for
intelligent fault diagnosis of machine under speed transient conditions with
few samples. ISA transactions（IF=5.911，中科院小类一区TOP）, 2021;
[19] Globally Localized Multisource Domain Adaptation for
Cross-Domain Fault Diagnosis With Category Shift. IEEE Transactions on Neural
Networks and Learning Systems（IF=
14.255，中科院一区TOP）, 2021;
[20] Intelligent fault diagnosis under small sample size
conditions via Bidirectional InfoMax GAN with unsupervised representation
learning. Knowledge-Based Systems（IF=8.139，中科院一区TOP）, 2021;
[21] Intelligent fault diagnosis of machines with small
& imbalanced data: A state-of-the-art review and possible extensions, ISA
Transactions（IF=5.911，中科院小类一区TOP）,2021;
[22] Differentiable neural architecture search augmented with
pruning and multi-objective optimization for time-efficient intelligent fault
diagnosis of machinery, Mechanical Systems and Signal Processing（IF=8.934，中科院一区TOP）,2021;
[23] Similarity-based meta-learning network with adversarial
domain adaptation for cross-domain fault identification, Knowledge-Based
Systems（IF=8.139，中科院一区TOP）, 2021;
[24] A Small Sample Focused Intelligent Fault Diagnosis Scheme of
Machines via Multi-modules Learning with Gradient Penalized Generative
Adversarial Networks,
IEEE Transactions on Industrial Electronics （IF=8.162，中科院一区TOP）, 2021;
[25] Deep Feature Generating Network: A New Method for Intelligent
Fault Detection of Mechanical Systems under Class Imbalance,
IEEE Transactions on Industrial Informatics（IF=11.648，中科院一区TOP）, 2021;
[26] QSCGAN: An Un-Supervised Quick Self-Attention Convolutional
GAN for LRE Bearing Fault Diagnosis Under Limited Label-Lacked Data. IEEE
Transactions on Instrumentation and Measurement（IF=5.332，中科院二区）, 2021;
[27] Layer Regeneration Network With Parameter Transfer and Knowledge
Distillation for Intelligent Fault Diagnosis of Bearing Using Class Unbalanced
Sample. IEEE Transactions on Instrumentation and Measurement（IF=5.332，中科院二区）, 2021;
[28] Towards Small Sample Challenge in Intelligent Fault
Diagnosis: Attention Weighted Multi-depth Feature Fusion Net with Signals
Augmentation. IEEE Transactions on Instrumentation and Measurement（IF=5.332，中科院二区）, 2021;
[29] Coupling analysis and optimization of commercial vehicles cab
comfort with multi-platform integrated calculation. Journal of Mechanical
Science and Technology, 2021;
[30] Research on Safety Evaluation of Commercial Vehicle Driving
Behavior Based on Data Mining Technology. Journal of Sensors, 2021;
[31] 基于MATLAB的商用车平顺性优化与分析, 机械设计与制造, 2021;
[32] 面向整车平顺性的商用车平衡悬架结构分析与优化设计研究. 机械科学与技术, 2021;
[33] 保险杠动态谐振机理分析和怠速抖动控制研究. 机械科学与技术, 2021;
[34] 基于信域指标分解的重型商用车驾驶室减振控制研究,振动与冲击，2020；
[35] Research on cab vibration control based on parameter
hierarchical interaction model, Shock and Vibration, 2020;
[36] Research on ride comfort analysis and hierarchical
optimization of heavy vehicles with coupled nonlinear dynamics of suspension,
Measurement, 2020;
[37] Steady-State Steering Characteristics of Mathematical Model
for Semitrailer Based on Variations in Camber Parameters, Shock and Vibration,
2020;
[38] Research on a multi-node joint vibration control strategy for
controlling the steering wheel of a commercial vehicle, Shock and Vibration,
2020;
[39] Ride Comfort Analysis and Multivariable Co-optimization of
the Commercial Vehicle Based on an Improved Nonlinear Model，IEEE
Accesss，2020；
[40] Research on a multi-node joint vibration control strategy for
controlling the steering wheel of a commercial vehicle，Shock and
Vibration，2019；
[41] A Multi-Point Iterative Analysis Method for Vibration Control
of a Steering Wheel at Idle Speed，IEEE Access, 2019；
[42] Detection and Location of Stator Winding Interturn Fault at
Different Slots of DFIG，IEEE
Access, 2019；
[43] Commercial Vehicle Ride Comfort Optimization Based on
Intelligent Algorithms and Nonlinear Damping，Shock and Vibration, 2019;
[44] A domain association hierarchical decomposition optimization
method for cab vibration control of commercial vehicle, Measurement, 2019；
[45] Vibration control analysis of vehicle steering system based
on the combined method of FEA and modal test，Journal of Vibration and Control, 2019；
[46] 某轻型卡车方向盘怠速振动优化控制研究,计算机仿真,2019;
[47] 静态侧倾稳定角的计算与影响因素分析,机械科学与技术,2019;
[48] 基于S函数三相异步电机复合故障特征研究,微电机,2019;
[49] A Novel Deep Learning Network via Multi-Scale Inner
Product with Locally Connected Feature Extraction for Intelligent Fault
Detection,IEEE Transactions on Industrial Informatics,2019;
[50] Damping Enhancement Using Axially Functionally Graded Porous
Structure Based on Acoustic Black Hole Effect. Materials, 2019;
[51] An improved two-step method based on Kriging model for beam
structures. Journal of Low Frequency Noise, Vibration and Active Control, 2019;
等等....