Gearbox Tooth Cut Fault Diagnostics Using Acoustic Emission and Vibration Sensors - A Comparative Study. - Yongzhi Qu; David He; Jae Yoon; Brandon Van Hecke; Eric Bechhoefer; Junda Zhu 002 (Sensors, 2014)

A Fiber Bragg Grating Sensing Based Triaxial Vibration Sensor. - Tianliang Li; Yuegang Tan; Yi Liu; Yongzhi Qu; Mingyao Liu; Zude Zhou (Sensors, 2015)

Deep and Broad Learning on Content-Aware POI Recommendation. - Fengjiao Wang; Yongzhi Qu; Lei Zheng 001; Chun-Ta Lu; Philip S. Yu (CIC, 2017)

Collective Geographical Embedding for Geolocating Social Network Users. - Fengjiao Wang; Chun-Ta Lu; Yongzhi Qu; Philip S. Yu (PAKDD (1), 2017)

Gear pitting fault diagnosis using disentangled features from unsupervised deep learning. - Yongzhi Qu; Yue Zhang; Miao He; David He; Chen Jiao; Zude Zhou (I2MTC, 2018)

On research of incipient gear pitting fault detection using optic fiber sensors. - Yongzhi Qu; Haoliang Zhang; Liu Hong 002; Chongfeng Zhao; Yuegang Tan; Zude Zhou (I2MTC, 2018)

Dynamic Modeling and Fault Feature Analysis of Pitted Gear System. - Yongzhi Qu; Haoliang Zhang; Liu Hong 002; Yuegang Tan; Zude Zhou (ICPHM, 2018)

An FBG based smart clamp fabricated by 3D printing technology and its application to incipient clamp looseness detection. - Zechao Wang; Mingyao Liu; Yongzhi Qu; Qin Wei; Zude Zhou; Yuegang Tan; Liu Hong 002; Jun Zhang (ICPHM, 2019)

A Novel Method for Early Gear Pitting Fault Diagnosis Using Stacked SAE and GBRBM. - Jialin Li; Xueyi Li 004; David He; Yongzhi Qu (Sensors, 2019)

The Detection of the Pipe Crack Utilizing the Operational Modal Strain Identified from Fiber Bragg Grating. - Zechao Wang; Mingyao Liu; Yongzhi Qu; Qin Wei; Zude Zhou; Yuegang Tan; Liu Hong 002; Han Song (Sensors, 2019)

Unsupervised rotating machinery fault diagnosis method based on integrated SAE-DBN and a binary processor. - Jialin Li; Xueyi Li 004; David He; Yongzhi Qu (J. Intell. Manuf., 2020)

Development of Deep Residual Neural Networks for Gear Pitting Fault Diagnosis Using Bayesian Optimization. - Jialin Li; Renxiang Chen; Xianzhen Huang; Yongzhi Qu (IEEE Trans. Instrum. Meas., 2022)

Transfer Operator Learning with Fusion Frame. - Haoyang Jiang; Yongzhi Qu (CoRR, 2024)

Fredholm Integral Equations Neural Operator (FIE-NO) for Data-Driven Boundary Value Problems. - Haoyang Jiang; Yongzhi Qu (CoRR, 2024)

State space neural network with nonlinear physics for mechanical system modeling. - Reese Eischens; Tao Li; Gregory W. Vogl; Yi Cai; Yongzhi Qu (Reliab. Eng. Syst. Saf., 2025)