A distributed IMM fusion algorithm for multi-platform tracking. - Zhen Ding; Lang Hong (Signal Process., 1998)

An aperiodic phenomenon of the extended Kalman filter in filtering noisy chaotic signals. - Henry Leung; Zhiwen Zhu; Zhen Ding (IEEE Trans. Signal Process., 2000)

Matrix filter design using semi-infinite programming with application to DOA estimation. - Zhiwen Zhu; Shi Wang; Henry Leung; Zhen Ding (IEEE Trans. Signal Process., 2000)

Network-Centric Multisensor-Multitarget Tracking Testbed Based on Peer-to-Peer Communication. - Dmitry Akselrod; Abhijit Sinha; Thia Kirubarajan; Mohamad Farooq; Zhen Ding (CCECE, 2006)

Multisensor-multitarget tracking testbed. - David Akselrod; Ratnasingham Tharmarasa; Thia Kirubarajan; Zhen Ding; Tony Ponsford (CISDA, 2009)

Bias phenomenon and analysis of a nonlinear transformation in a mobile passive sensor network. - Zhen Ding; Henry Leung (CISDA, 2009)

Track Quality Based Multitarget Tracking Approach for Global Nearest-Neighbor Association. - Abhijit Sinha; Zhen Ding; Thia Kirubarajan; Mohamad Farooq (IEEE Trans. Aerosp. Electron. Syst., 2012)

Tracking Performance of MIMO Radar for Accelerating Targets. - Peter W. Moo; Zhen Ding (IEEE Trans. Signal Process., 2013)

Towards a Cognitive Radar: Canada's Third-Generation High Frequency Surface Wave Radar (HFSWR) for Surveillance of the 200 Nautical Mile Exclusive Economic Zone. - Anthony M. Ponsford; Richard McKerracher; Zhen Ding; Peter Moo; Derek Yee (Sensors, 2017)

The Real Time Gait Phase Detection Based on Long Short-Term Memory. - Zhen Ding; Chifu Yang; Kai Xing; Xueyan Ma; Kai Yang 002; Hao Guo 015; Chunzhi Yi; Feng Jiang 001 (DSC, 2018)

Hand Gesture Recognition Based on Deep Learning Method. - Kai Xing; Zhen Ding; Shuai Jiang; Xueyan Ma; Kai Yang 002; Chifu Yang; Xiang Li; Feng Jiang 001 (DSC, 2018)

Multifunction Cognitive Radar Task Scheduling Using Monte Carlo Tree Search and Policy Networks. - Mahdi Shaghaghi; Raviraj S. Adve; Zhen Ding (CoRR, 2018)

A Machine Learning Radar Scheduling Method Based on the EST Algorithm. - Zhen Qu; Zhen Ding; Peter Moo (ICCI*CC, 2019)

Reinforcement Learning for Cognitive Radar Task Scheduling. - Mohamed Gaafar; Mahdi Shaghaghi; Raviraj S. Adve; Zhen Ding (ACSSC, 2019)

Resource Management for Multifunction Multichannel Cognitive Radars. - Mahdi Shaghaghi; Raviraj S. Adve; Zhen Ding (ACSSC, 2019)

Cognitive Radar Tracking Performance Enhancement via Waveform Optimization. - Abdessattar Hayouni; Henry Leung; Zhen Ding (FUSION, 2019)

A Machine Learning Task Selection Method for Radar Resource Management (Poster). - Zhen Qu; Zhen Ding; Peter Moo (FUSION, 2019)

Predicting the Retweet Level of COVID-19 Tweets with Neural Network Classifier. - Zhen Qu; Zhen Ding (IEEE ICCI*CC, 2020)

A Neural Network Based Algorithm Selector for Radar Task Scheduling. - Zhen Qu; Zhen Ding; Peter Moo (IEEE ICCI*CC, 2020)

The online estimation of the joint angle based on the gravity acceleration using the accelerometer and gyroscope in the wireless networks. - Zhen Ding; Chifu Yang; Jiantao Ma; Jianguo Wei; Feng Jiang 001 (Multim. Tools Appl., 2020)

A Bipolar Myoelectric Sensor-Enabled Human-Machine Interface Based On Spinal Module Activations. - Chunzhi Yi; Feng Jiang 001; Guangming Lu 001; Chifu Yang; Zhen Ding; Jianfei Zhu; Jie Liu 001 (ICRA, 2021)

A Novel sEMG-Based Gait Phase-Kinematics-Coupled Predictor and Its Interaction With Exoskeletons. - Baichun Wei; Zhen Ding; Chunzhi Yi; Hao Guo 015; Zhipeng Wang; Jianfei Zhu; Feng Jiang 001 (Frontiers Neurorobotics, 2021)

Online Adaptive Prediction of Human Motion Intention Based on sEMG. - Zhen Ding; Chifu Yang; Zhi-Peng Wang; Xunfeng Yin; Feng Jiang 001 (Sensors, 2021)

Reference Frame Unification of IMU-Based Joint Angle Estimation: The Experimental Investigation and a Novel Method. - Chunzhi Yi; Feng Jiang 001; Chifu Yang; Zhiyuan Chen 007; Zhen Ding; Jie Liu 001 (Sensors, 2021)

A Modified Reinforcement Q-Learning Method for Multi-function Phased Array Radar Beam Scheduling. - Rahul Kosuru; Zhen Qu; Zhen Ding; Peter Moo (ICCI*CC, 2022)

Sleep Staging Method for Imbalanced EEG Data Based on Differential Privacy Federated Learning. - Kangning Yin; Zhen Ding; Xiaoyu Yang 008; Zhuofu Tan; Rui Zhu; Xinhui Ji; Zhiguo Wang 004; Guangqiang Yin (Int. J. Artif. Intell. Tools, 2022)

Study on the Control Method of Knee Joint Human-Exoskeleton Interactive System. - Zhipeng Wang; Chifu Yang; Zhen Ding; Tao Yang; Hao Guo 015; Feng Jiang 001; Bowen Tian (Sensors, 2022)

Continuous Prediction of Lower-Limb Kinematics From Multi-Modal Biomedical Signals. - Chunzhi Yi; Feng Jiang 001; Shengping Zhang; Hao Guo 015; Chifu Yang; Zhen Ding; Baichun Wei; Xiangyuan Lan; Huiyu Zhou 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Muscular Human Cybertwin for Internet of Everything: A Pilot Study. - Chunzhi Yi; Sang Oh Park; Chifu Yang; Feng Jiang 001; Zhen Ding; Jianfei Zhu; Jie Liu 001 (IEEE Trans. Ind. Informatics, 2022)

Detecting and Correcting IMU Movements During Joint Angle Estimation. - Chunzhi Yi; Seungmin Rho; Baichun Wei; Chifu Yang; Zhen Ding; Zhiyuan Chen 007; Feng Jiang 001 (IEEE Trans. Instrum. Meas., 2022)

A Self-Aligned Method of IMU-Based 3-DoF Lower-Limb Joint Angle Estimation. - Chunzhi Yi; Baichun Wei; Zhen Ding; Chifu Yang; Zhiyuan Chen 007; Feng Jiang 001 (IEEE Trans. Instrum. Meas., 2022)

Making Standards for Smart Mining Operations: Intelligent Vehicles for Autonomous Mining Transportation. - Shirong Ge; Fei-Yue Wang 001; Jianjian Yang; Zhen Ding; Xiao Wang 002; Yuchen Li 004; Siyu Teng; Zhongmin Liu; Yunfeng Ai; Long Chen 005 (IEEE Trans. Intell. Veh., 2022)

NIPD: A Federated Learning Person Detection Benchmark Based on Real-World Non-IID Data. - Kangning Yin; Zhen Ding; Zhihua Dong; Dongsheng Chen; Jie Fu; Xinhui Ji; Guangqiang Yin; Zhiguo Wang 004 (CoRR, 2023)

Online learning compensation control of an electro-hydraulic shaking table using Echo State Networks. - Jianwen Liang; Zhen Ding; Qinghua Han; Hao Wu; Jinbao Ji (Eng. Appl. Artif. Intell., 2023)

Vision-Based Efficient Robotic Manipulation with a Dual-Streaming Compact Convolutional Transformer. - Hao Guo 015; Meichao Song; Zhen Ding; Chunzhi Yi; Feng Jiang 001 (Sensors, 2023)

The Use of Intelligent Vehicles and Artificial Intelligence in Mining Operations: Ethics, Responsibility, and Sustainability. - Shirong Ge; Yuting Xie; Kunhua Liu; Zhen Ding; Eryi Hu; Long Chen 005; Fei-Yue Wang 001 (IEEE Trans. Intell. Veh., 2023)

Enable Fully Customized Assistance: A Novel IMU-Based Motor Intent Decoding Scheme. - Chunzhi Yi; Shengping Zhang; Feng Jiang 001; Jie Liu 001; Zhen Ding; Chifu Yang; Huiyu Zhou 001 (IEEE Trans. Cogn. Dev. Syst., 2023)

DHFM-FLM: A Dynamic Hierarchical Federated Learning Mechanism for Financial Models under Client Resource Heterogeneity. - Kangning Yin; Zhen Ding; Shaoqi Hou; Xinhui Ji; Guangqiang Yin; Zhiguo Wang 004 (IEEE Big Data, 2024)

Impact of Cognitive Load on Human Trust in Hybrid Human-Robot Collaboration. - Hao Guo 015; Bangan Wu; Qi Li; Zhen Ding; Feng Jiang 001; Chunzhi Yi (CoRR, 2024)

Transfer-Based DRL for Task Scheduling in Dynamic Environments for Cognitive Radar. - Sunila Akbar; Raviraj S. Adve; Zhen Ding; Peter W. Moo (IEEE Trans. Aerosp. Electron. Syst., 2024)

Person re-identification method based on fine-grained feature fusion and self-attention mechanism. - Kangning Yin; Zhen Ding; Zhihua Dong; Xinhui Ji; Zhipei Wang; Dongsheng Chen; Ye Li; Guangqiang Yin; Zhiguo Wang 004 (Computing, 2024)

A Novel Active Learning Framework for Cross-Subject Human Activity Recognition from Surface Electromyography. - Zhen Ding; Tao Hu; Yanlong Li; Longfei Li; Qi Li; Pengyu Jin; Chunzhi Yi (Sensors, 2024)

Research on evolution model of road network for self-driving truck in open-pit mine. - Hongze Zhao; Wen Zheng; Boqiang Qin; Zhen Ding; Guanghui Zhao; Pei Guo (Comput. Ind. Eng., 2025)

Towards heterogeneous tasks conflict avoidance for cross-modal federated learning via knowledge distillation. - Kangning Yin; Xinhui Ji; Zhen Ding; Shaoqi Hou; Zhiguo Wang 004 (Inf. Sci., 2025)

Self-attention fusion and adaptive continual updating for multimodal federated learning with heterogeneous data. - Kangning Yin; Zhen Ding; Xinhui Ji; Zhiguo Wang (Neural Networks, 2025)

Human-in-the-Loop Optimization for Knee Exoskeleton Flexion Assistance. - Zhipeng Wang; Baichun Wei; Zhen Ding; Jianfei Zhu; Lianpeng Zhang; Xiangduan Zeng; Chunzhi Yi (IEEE Robotics Autom. Lett., 2025)

Task Scheduling in Cognitive Multifunction Radar Using Model-Based DRL. - Sunila Akbar; Raviraj S. Adve; Zhen Ding; Peter W. Moo (IEEE Trans. Aerosp. Electron. Syst., 2025)