Intelligent setup planning in manufacturing by fuzzy set theory based approach. - Gaoliang Peng; Wenjian Liu; Yuru Zhang (CASE, 2005)

An Internet-Based System for Setup Planning in Machining Operations. - Gaoliang Peng; Wenjian Liu; Xutang Zhang (ICECCS, 2005)

An Internet-Enabled Setup Planning System. - Wenjian Liu; Gaoliang Peng (ICITA (2), 2005)

Modeling and Analysis of the Concurrent Design Process. - Yanhai Chen; Wenjian Liu; Gaoliang Peng (CSCWD, 2006)

A Novel Modular Fixture Design and Assembly System Based on VR. - Gaoliang Peng; Wenjian Liu (IROS, 2006)

Kinematics of Robot with Castered-and-Cambered Wheels with Respect to Drive Configuration Topology. - He Xu; Dawei Tan; Gaoliang Peng; Xiao Zhi Gao 001; Shuanghe Yu (ICIRA (1), 2008)

An innovative reconfigurable mobile robot with multi-maneuver modes. - He Xu; Dawei Tan; Zhenyu Zhang 012; Yulin Ma; Gaoliang Peng (ROBIO, 2008)

Optimization of mobile robot based on projection method and Harmony Search. - He Xu; Zhenyu Zhang 012; Dawei Tan; Xiao Zhi Gao 001; Gaoliang Peng; Shuanghe Yu (ROBIO, 2008)

A desktop virtual reality-based interactive modular fixture configuration design system. - Gaoliang Peng; Gongdong Wang; Wenjian Liu; Haiquan Yu (Comput. Aided Des., 2010)

Applying RBR and CBR to develop a VR based integrated system for machining fixture design. - Gaoliang Peng; Guangfeng Chen; Chong Wu; Hou Xin; Yang Jiang (Expert Syst. Appl., 2011)

A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals. - Wei Zhang 185; Gaoliang Peng; Chuanhao Li; Yuanhang Chen; Zhujun Zhang (Sensors, 2017)

Bearing Fault Diagnosis Using Fully-Connected Winner-Take-All Autoencoder. - Chuanhao Li; Wei Zhang 185; Gaoliang Peng; Shaohui Liu (IEEE Access, 2018)

Development of an Integrated Laser Sensors Based Measurement System for Large-Scale Components Automated Assembly Application. - Gaoliang Peng; Yu Sun; Shilong Xu (IEEE Access, 2018)

ACDIN: Bridging the gap between artificial and real bearing damages for bearing fault diagnosis. - Yuanhang Chen; Gaoliang Peng; Chaohao Xie; Wei Zhang 185; Chuanhao Li; Shaohui Liu (Neurocomputing, 2018)

A convolutional neural network based on a capsule network with strong generalization for bearing fault diagnosis. - Zhiyu Zhu; Gaoliang Peng; Yuanhang Chen; Huijun Gao (Neurocomputing, 2019)

A novel deep learning method based on attention mechanism for bearing remaining useful life prediction. - Yuanhang Chen; Gaoliang Peng; Zhiyu Zhu; Sijue Li (Appl. Soft Comput., 2020)

Grappling claws for a robot to climb rough wall surfaces: Mechanical design, grasping algorithm, and experiments. - Fengyu Xu 001; Fanchang Meng; Quansheng Jiang; Gaoliang Peng (Robotics Auton. Syst., 2020)

A Two-Stage, Intelligent Bearing-Fault-Diagnosis Method Using Order-Tracking and a One-Dimensional Convolutional Neural Network with Variable Speeds. - Mengyu Ji; Gaoliang Peng; Jun He; Shaohui Liu; Zhao Chen; Sijue Li (Sensors, 2021)

WDA: An Improved Wasserstein Distance-Based Transfer Learning Fault Diagnosis Method. - Zhiyu Zhu; Lanzhi Wang; Gaoliang Peng; Sijue Li (Sensors, 2021)

A neural network compression method based on knowledge-distillation and parameter quantization for the bearing fault diagnosis. - Mengyu Ji; Gaoliang Peng; Sijue Li; Feng Cheng; Zhao Chen; Zhixiong Li 001; Haiping Du (Appl. Soft Comput., 2022)

An Anti-UAV Long-Term Tracking Method with Hybrid Attention Mechanism and Hierarchical Discriminator. - Feng Cheng; Zhibo Liang; Gaoliang Peng; Shaohui Liu; Sijue Li; Mengyu Ji (Sensors, 2022)

Prediction-Based Human-Robot Collaboration in Assembly Tasks Using a Learning from Demonstration Model. - Zhujun Zhang; Gaoliang Peng; Weitian Wang; Yi Chen; Yunyi Jia; Shaohui Liu (Sensors, 2022)

A Lightweight SHM Framework Based on Adaptive Multisensor Fusion Network and Multigeneration Knowledge Distillation. - Sijue Li; Fengyi Liu; Gaoliang Peng; Feng Cheng; Benqi Zhao; Mengyu Ji (IEEE Trans. Instrum. Meas., 2022)

A Transformer-based network with adaptive spatial prior for visual tracking. - Feng Cheng; Gaoliang Peng; Junbao Li; Benqi Zhao; Jeng-Shyang Pan 001; Hang Li (Neurocomputing, 2025)