Guangyu Jia

According to our database, Guangyu Jia authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Path Planning and Trajectory Tracking Control of Quadrotor Dragging System in Marine Environment.

Yuhe Chen, Dong Zhang, Guangyu Jia, Lingzhi Mu, Jinlong Sun, Yanqian Wang

IEEE Access, 2024

2023

Improving COVID-19 CT classification of CNNs by learning parameter-efficient representation.

Yujia Xu, Hak-Keung Lam, Guangyu Jia, Jian Jiang, Junkai Liao, Xinqi Bao

Comput. Biol. Medicine, 2023

A Framework of Robust Congestion Mitigation with Traffic Estimation, Split Ratio Optimisation and Path Planning.

Guangyu Jia, Bing Kong, Lijin Yang, Yong Zhang, Jin Zeng, Cong Li, Yong Zhu, Jie Zhang

Proceedings of the IEEE International Conference on Communications, 2023

2022

Variable weight algorithm for convolutional neural networks and its applications to classification of seizure phases and types.

Guangyu Jia, Hak-Keung Lam, Kaspar Althoefer

Pattern Recognit., 2022

2021

Further Results for Pinning Stabilization of Boolean Networks.

Guangyu Jia, Min Meng, James Lam, Jun-e Feng

IEEE Trans. Control. Netw. Syst., 2021

MANet: A two-stage deep learning method for classification of COVID-19 from Chest X-ray images.

Yujia Xu, Hak-Keung Lam, Guangyu Jia

Neurocomputing, 2021

A case study on computer-aided diagnosis of nonerosive reflux disease using deep learning techniques.

Junkai Liao, Hak-Keung Lam, Guangyu Jia, Shraddha Gulati, Julius E. Bernth, Dmytro Poliyivets, Yujia Xu, Hongbin Liu, Bu Hayee

Neurocomputing, 2021

Personalized Course Recommendation System Fusing with Knowledge Graph and Collaborative Filtering.

Gongwen Xu, Guangyu Jia, Lin Shi, Zhijun Zhang

Comput. Intell. Neurosci., 2021

Classification of COVID-19 chest X-Ray and CT images using a type of dynamic CNN modification method.

Guangyu Jia, Hak-Keung Lam, Yujia Xu

Comput. Biol. Medicine, 2021

A Joint Communication and Federated Learning Framework for Internet of Things Networks.

Zhaohui Yang, Guangyu Jia, Mingzhe Chen, Hak-Keung Lam, Kai-Kit Wong, Shuguang Cui, H. Vincent Poor

Proceedings of the IEEE Global Communications Conference, 2021

2020

Depth Estimation of Hard Inclusions in Soft Tissue by Autonomous Robotic Palpation Using Deep Recurrent Neural Network.

Bo Xiao, Wenjun Xu, Jing Guo, Hak-Keung Lam, Guangyu Jia, Wuzhou Hong, Hongliang Ren

IEEE Trans Autom. Sci. Eng., 2020

Classification of electromyographic hand gesture signals using machine learning techniques.

Guangyu Jia, Hak-Keung Lam, Junkai Liao, Rong Wang

Neurocomputing, 2020

Channel Assignment in Uplink Wireless Communication Using Machine Learning Approach.

Guangyu Jia, Zhaohui Yang, Hak-Keung Lam, Jianfeng Shi, Mohammad Shikh-Bahaei

IEEE Commun. Lett., 2020

Optimization of Resource Allocation in Multi-Cell OFDM Systems: A Distributed Reinforcement Learning Approach.

Yuntao Hu, Ming Chen, Zhaohui Yang, Mingzhe Chen, Guangyu Jia

Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020

Machine Learning for Predictive Deployment of UAVs with Rate Splitting Multiple Access.

Linyan Lu, Ye Hu, Yirun Zhang, Guangyu Jia, Jiangtian Nie, Mohammad Shikh-Bahaei

Proceedings of the IEEE Globecom Workshops, 2020

2016

Function perturbation of mix-valued logical networks with impacts on limit sets.

Guangyu Jia, Min Meng, Jun-e Feng

Neurocomputing, 2016