Position/force control of manipulator based on force measurement and its application to gear deburring. - Zhongxu Hu; Robert Bicker; Christopher Marshall (J. Intell. Fuzzy Syst., 2003)

Automatic surface roughing with 3D machine vision and cooperative robot control. - Zhongxu Hu; Chris Marshall; Robert Bicker; Paul M. Taylor (Robotics Auton. Syst., 2007)

Reliability prediction of 3C-SiC cantilever beams using dynamic Raman spectroscopy. - Raden Dewanto; Tao Chen; Rebecca Cheung; Zhongxu Hu; Barry J. Gallacher; John Hedley (NEMS, 2012)

Characterization of strain fields in graphene films. - Raden Dewanto; Carl Dale; Zhongxu Hu; Neil Keegan; Barry J. Gallacher; John Hedley (NEMS, 2012)

Piezoelectrically actuated Circular Diaphragm Resonator mass sensors. - Neil Keegan; John Hedley; Zhongxu Hu; Julia Spoors; W. Waugh; Barry J. Gallacher; Calum McNeil (NEMS, 2012)

A digital signal processing-based control system for a micro-electromechanical systems vibrating gyroscope with parametric amplification and force rebalance control. - Zhongxu Hu; Barry J. Gallacher; J. S. Burdess; C. P. Fell; K. Townsend (J. Syst. Control. Eng., 2013)

One-Port Electronic Detection Strategies for Improving Sensitivity in Piezoelectric Resonant Sensor Measurements. - Zhongxu Hu; John Hedley; Neil Keegan; Julia Spoors; Barry J. Gallacher; Calum McNeil (Sensors, 2016)

Hand pose estimation with multi-scale network. - Zhongxu Hu; Youmin Hu; Bo Wu 006; Jie Liu 017; Dongmin Han; Thomas R. Kurfess (Appl. Intell., 2018)

3D separable convolutional neural network for dynamic hand gesture recognition. - Zhongxu Hu; Youmin Hu; Jie Liu 017; Bo Wu 006; Dongmin Han; Thomas R. Kurfess (Neurocomputing, 2018)

A CRNN module for hand pose estimation. - Zhongxu Hu; Youmin Hu; Jie Liu 017; Bo Wu 006; Dongmin Han; Thomas R. Kurfess (Neurocomputing, 2019)

Multi-Scale Driver Behaviors Reasoning System for Intelligent Vehicles Based on a Joint Deep Learning Framework. - Yang Xing; Zhongxu Hu; Zhiyu Huang; Chen Lv; Dongpu Cao; Efstathios Velenis (SMC, 2020)

Data-Driven Fault Diagnosis Method Based on Compressed Sensing and Improved Multiscale Network. - Zhongxu Hu; Yan Wang 029; Ming-Feng Ge; Jie Liu 017 (IEEE Trans. Ind. Electron., 2020)

An Integrated Framework of Decision Making and Motion Planning for Autonomous Vehicles Considering Social Behaviors. - Peng Hang; Chen Lv; Chao Huang 006; Jiacheng Cai; Zhongxu Hu; Yang Xing (IEEE Trans. Veh. Technol., 2020)

Human-Machine Adaptive Shared Control for Safe Automated Driving under Automation Degradation. - Chao Huang 006; Chen Lv; Peng Hang; Zhongxu Hu; Yang Xing (CoRR, 2021)

Human-in-the-Loop Deep Reinforcement Learning with Application to Autonomous Driving. - Jingda Wu; Zhiyu Huang; Chao Huang 006; Zhongxu Hu; Peng Hang; Yang Xing; Chen Lv (CoRR, 2021)

Deep convolutional neural network-based Bernoulli heatmap for head pose estimation. - Zhongxu Hu; Yang Xing; Chen Lv; Peng Hang; Jie Liu 017 (Neurocomputing, 2021)

Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach. - Peng Hang; Chen Lv; Yang Xing; Chao Huang 006; Zhongxu Hu (IEEE Trans. Intell. Transp. Syst., 2021)

Toward Safe and Smart Mobility: Energy-Aware Deep Learning for Driving Behavior Analysis and Prediction of Connected Vehicles. - Yang Xing; Chen Lv; Xiaoyu Mo; Zhongxu Hu; Chao Huang 006; Peng Hang (IEEE Trans. Intell. Transp. Syst., 2021)

Decision Making of Connected Automated Vehicles at an Unsignalized Roundabout Considering Personalized Driving Behaviours. - Peng Hang; Chao Huang 006; Zhongxu Hu; Yang Xing; Chen Lv (IEEE Trans. Veh. Technol., 2021)

Collision-Probability-Aware Human-Machine Cooperative Planning for Safe Automated Driving. - Chao Huang 006; Peng Hang; Zhongxu Hu; Chen Lv (IEEE Trans. Veh. Technol., 2021)

Driving Conflict Resolution of Autonomous Vehicles at Unsignalized Intersections: A Differential Game Approach. - Peng Hang; Chao Huang 006; Zhongxu Hu; Chen Lv (CoRR, 2022)

Human-Machine Telecollaboration Accelerates the Safe Deployment of Large-Scale Autonomous Robots During the COVID-19 Pandemic. - Zhongxu Hu; Yiran Zhang; Qinghua Li; Chen Lv (Frontiers Robotics AI, 2022)

Human-Machine Adaptive Shared Control for Safe Driving Under Automation Degradation. - Chao Huang 006; Chen Lv; Peng Hang; Zhongxu Hu; Yang Xing (IEEE Intell. Transp. Syst. Mag., 2022)

Template-Based Category-Agnostic Instance Detection for Robotic Manipulation. - Zhongxu Hu; Runjia Tan; Yanxin Zhou; Junyang Woon; Chen Lv (IEEE Robotics Autom. Lett., 2022)

An Integrated Framework for Multi-State Driver Monitoring Using Heterogeneous Loss and Attention-Based Feature Decoupling. - Zhongxu Hu; Yiran Zhang; Yang Xing; Qinghua Li; Chen Lv (Sensors, 2022)

Data-Driven Estimation of Driver Attention Using Calibration-Free Eye Gaze and Scene Features. - Zhongxu Hu; Chen Lv; Peng Hang; Chao Huang 006; Yang Xing (IEEE Trans. Ind. Electron., 2022)

Decision Making for Connected Automated Vehicles at Urban Intersections Considering Social and Individual Benefits. - Peng Hang; Chao Huang 006; Zhongxu Hu; Chen Lv (IEEE Trans. Intell. Transp. Syst., 2022)

Cooperative Decision Making of Connected Automated Vehicles at Multi-Lane Merging Zone: A Coalitional Game Approach. - Peng Hang; Chen Lv; Chao Huang 006; Yang Xing; Zhongxu Hu (IEEE Trans. Intell. Transp. Syst., 2022)

A Novel Heterogeneous Network for Modeling Driver Attention With Multi-Level Visual Content. - Zhongxu Hu; Yiran Zhang; Qinghua Li; Chen Lv (IEEE Trans. Intell. Transp. Syst., 2022)

Human-Machine Cooperative Trajectory Planning and Tracking for Safe Automated Driving. - Chao Huang 006; Hailong Huang 001; Junzhi Zhang; Peng Hang; Zhongxu Hu; Chen Lv (IEEE Trans. Intell. Transp. Syst., 2022)

Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles. - Zhongxu Hu; Shanhe Lou; Yang Xing; Xiao Wang 002; Dongpu Cao; Chen Lv (IEEE Trans. Intell. Veh., 2022)

Toward Human-Centered Automated Driving: A Novel Spatiotemporal Vision Transformer-Enabled Head Tracker. - Zhongxu Hu; Yiran Zhang; Yang Xing; Yifan Zhao 001; Dongpu Cao; Chen Lv (IEEE Veh. Technol. Mag., 2022)

Vision-Based Human Activity Recognition - Artificial Intelligence, Multiagent Systems, and Cognitive Robotics - Zhongxu Hu; Chen Lv (Springer, 2022)

A Novel Human-Machine Collaboration Approach for Autonomous Driving with Hand Gesture-based Guidance. - Yiran Zhang; Zhongxu Hu; Chen Lv (AIM, 2023)

Robust Lane Change Decision Making for Autonomous Vehicles: An Observation Adversarial Reinforcement Learning Approach. - Xiangkun He; Haohan Yang; Zhongxu Hu; Chen Lv (IEEE Trans. Intell. Veh., 2023)

Driver Anomaly Quantification for Intelligent Vehicles: A Contrastive Learning Approach With Representation Clustering. - Zhongxu Hu; Yang Xing; Weihao Gu; Dongpu Cao; Chen Lv (IEEE Trans. Intell. Veh., 2023)

Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys. - Long Chen 005; Yuchen Li 004; Chao Huang 006; Bai Li 002; Yang Xing; Daxin Tian; Li Li 013; Zhongxu Hu; Xiaoxiang Na; Zixuan Li; Siyu Teng; Chen Lv; et al. (IEEE Trans. Intell. Veh., 2023)

Stacked graph bone region U-net with bone representation for hand pose estimation and semi-supervised training. - Zhiwei Zheng; Zhongxu Hu; Hui Qin; Jie Liu (Image Vis. Comput., 2023)

Milestones in Autonomous Driving and Intelligent Vehicles - Part I: Control, Computing System Design, Communication, HD Map, Testing, and Human Behaviors. - Long Chen 005; Yuchen Li 004; Chao Huang 006; Yang Xing; Daxin Tian; Li Li 013; Zhongxu Hu; Siyu Teng; Chen Lv; Jinjun Wang; Dongpu Cao; Nanning Zheng 001; et al. (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Human-machine cooperative decision-making and planning for automated vehicles using spatial projection of hand gestures. - Yiran Zhang; Zhongxu Hu; Peng Hang; Shanhe Lou; Chen Lv (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)

Personalized robotic control via constrained multi-objective reinforcement learning. - Xiangkun He; Zhongxu Hu; Haohan Yang; Chen Lv (Neurocomputing, 2024)

Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving. - Xiangkun He; Jingda Wu; Zhiyu Huang; Zhongxu Hu; Jun Wang 012; Alberto L. Sangiovanni-Vincentelli; Chen Lv (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Quantitative Identification of Driver Distraction: A Weakly Supervised Contrastive Learning Approach. - Haohan Yang; Haochen Liu; Zhongxu Hu; Anh-Tu Nguyen; Thierry-Marie Guerra; Chen Lv (IEEE Trans. Intell. Transp. Syst., 2024)

Learning From the Dark Side: A Parallel Time Series Modelling Framework for Forecasting and Fault Detection on Intelligent Vehicles. - Yang Xing; Zhongxu Hu; Peng Hang; Chen Lv (IEEE Trans. Intell. Veh., 2024)

Real-Time Driver Cognitive Workload Recognition: Attention-Enabled Learning With Multimodal Information Fusion. - Haohan Yang; Jingda Wu; Zhongxu Hu; Chen Lv (IEEE Trans. Ind. Electron., 2024)

Video-Based Driver Drowsiness Detection With Optimised Utilization of Key Facial Features. - Lie Yang; Haohan Yang; Henglai Wei; Zhongxu Hu; Chen Lv (IEEE Trans. Intell. Transp. Syst., 2024)

Context-Aware Driver Attention Estimation Using Multi-Hierarchy Saliency Fusion With Gaze Tracking. - Zhongxu Hu; Yuxin Cai; Qinghua Li; Kui Su; Chen Lv (IEEE Trans. Intell. Transp. Syst., 2024)

MASC: Large language model-based multi-agent scheduling chain for flexible job shop scheduling problem. - Zelong Wang; Chenhui Wan; Jie Liu 017; Xi Zhang; Haifeng Wang; Youmin Hu; Zhongxu Hu (Adv. Eng. Informatics, 2025)

Data-model interaction-driven transferable graph learning method for weak-shot onsite FTU health condition assessment. - Fengyuan Zhang; Jie Liu 017; Haoliang Li; Ran Duan; Zhongxu Hu; Tielin Shi (Adv. Eng. Informatics, 2025)

A domain generalization method for deploying driver distraction detection models to practical application scenarios. - Lie Yang; Henglai Wei; Zhongxu Hu; Chen Lv (Eng. Appl. Artif. Intell., 2025)

A tiny defect detection method on stamped parts with feature aggregation-diffusion and Wasserstein distance. - Hao Zhong; Zhongxu Hu; Jie Liu 017; Haifeng Wang; Youmin Hu; Tielin Shi (Neurocomputing, 2025)

Black-box domain adaptation for cross-domain on-device machinery fault diagnosis via hierarchical debiased self-supervised learning. - Mengliang Zhu; Jie Liu 017; Yanglong Lu; Zhongxu Hu; Li Yuan; Kaibo Zhou (Knowl. Based Syst., 2025)

Human-Cyber-Physical System for Industry 5.0: A Review From a Human-Centric Perspective. - Shanhe Lou; Zhongxu Hu; Yiran Zhang; Yixiong Feng; MengChu Zhou; Chen Lv (IEEE Trans Autom. Sci. Eng., 2025)

Correntropy-Based Improper Likelihood Model for Robust Electrophysiological Source Imaging. - Yuanhao Li 004; Badong Chen; Zhongxu Hu; Keita Suzuki; Wenjun Bai; Yasuharu Koike; Okito Yamashita (IEEE Trans. Medical Imaging, 2025)

Socially-Compliant Hierarchical Human-Vehicle Collaboration With Multimodal Haptic Steering. - Yiran Zhang; Shanhe Lou; Zhongxu Hu; Jieyu Zhu; Chen Lv (IEEE Trans. Intell. Transp. Syst., 2025)