Jing Yang

According to our database, Jing Yang authored at least 28 papers between 2015 and 2024.

Collaborative distances:

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

2024

IA-LSTM: Interaction-Aware LSTM for Pedestrian Trajectory Prediction.

Jing Yang, Yuehai Chen, Shaoyi Du, Badong Chen, José C. Príncipe

IEEE Trans. Cybern., July, 2024

Learning Discriminative Features for Crowd Counting.

Yuehai Chen, Qingzhong Wang, Jing Yang, Badong Chen, Haoyi Xiong, Shaoyi Du

IEEE Trans. Image Process., 2024

2023

An Uncertainty-Aware and Sex-Prior Guided Biological Age Estimation From Orthopantomogram Images.

Dong Zhang, Jing Yang, Shaoyi Du, Wenqing Bu, Yu-Cheng Guo

IEEE J. Biomed. Health Informatics, October, 2023

Semi-Supervised Air Quality Forecasting via Self-Supervised Hierarchical Graph Neural Network.

Jindong Han, Hao Liu, Haoyi Xiong, Jing Yang

IEEE Trans. Knowl. Data Eng., May, 2023

Coarse-to-fine feature representation based on deformable partition attention for melanoma identification.

Dong Zhang, Jing Yang, Shaoyi Du, Hongcheng Han, Yuyan Ge, Longfei Zhu, Ce Li, Meifeng Xu, Nanning Zheng

Pattern Recognit., April, 2023

Counting Varying Density Crowds Through Density Guided Adaptive Selection CNN and Transformer Estimation.

Yuehai Chen, Jing Yang, Badong Chen, Shaoyi Du

IEEE Trans. Circuits Syst. Video Technol., March, 2023

Tolerating Annotation Displacement in Dense Object Counting via Point Annotation Probability Map.

Yuehai Chen, Jing Yang, Badong Chen, Shaoyi Du, Gang Hua

IEEE Trans. Image Process., 2023

Video Self-Supervised Cross-Pathway Training Based on Slow and Fast Pathways.

Jie Li, Jing Yang, Zhou Jiang, Yuehai Chen, Shaoyi Du

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

PointHGSA: Efficient Point Cloud Understanding with Hypergraph-Based Self-Attention Network.

Zhou Jiang, Jing Yang, Jie Li, Dong Zhang, Shaoyi Du

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Color-Difference Correntropy Guided Convolution Network for Point Cloud Semantic Segmentation.

Zhou Jiang, Jing Yang, Chunyu Xuan, Dong Zhang, Shaoyi Du

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Region-aware network: Model human's Top-Down visual perception mechanism for crowd counting.

Yuehai Chen, Jing Yang, Dong Zhang, Kun Zhang, Badong Chen, Shaoyi Du

Neural Networks, 2022

2021

A generic FPGA-based hardware architecture for recursive least mean p-power extreme learning machine.

Hui Huang, Jing Yang, Hai-Jun Rong, Shaoyi Du

Neurocomputing, 2021

A Feature-Cascaded Correntropy LSTM for Tourists Prediction.

Yuehai Chen, Jing Yang, Kun Zhang, Yi Xu, Yuewen Liu

IEEE Access, 2021

DWG-Reg: Deep Weight Global Registration.

Biao Li, Qixing Xie, Shaoyi Du, Wenting Cui, Runzhao Yao, Yang Yang, Jing Yang, Lin Wang

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Individual retrieval based on oral cavity point cloud data and correntropy-based registration algorithm.

Wenting Cui, Jianyi Liu, Shaoyi Du, Yuying Liu, Teng Wan, Mengqi Han, Qingnan Mou, Jing Yang, Yu-Cheng Guo

IET Image Process., 2020

A Method for Wafer Defect Detection Using Spatial Feature Points Guided Affine Iterative Closest Point Algorithm.

Jing Yang, Yi Xu, Hai-Jun Rong, Shaoyi Du, Hongmei Zhang

IEEE Access, 2020

CF-LSTM: Cascaded Feature-Based Long Short-Term Networks for Predicting Pedestrian Trajectory.

Yi Xu, Jing Yang, Shaoyi Du

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Structured Down-Sampling and Registration Method for 3D Point Cloud of Indoor Scene.

Yang Yang, Haozhe Li, Jing Yang, Dexing Zhong

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2018

Data-Driven State-Increment Statistical Model and Its Application in Autonomous Driving.

Chao Ma, Jianru Xue, Yuehu Liu, Jing Yang, Yongqiang Li, Nanning Zheng

IEEE Trans. Intell. Transp. Syst., 2018

Sparse Recursive Least Mean p-Power Extreme Learning Machine for Regression.

Jing Yang, Yi Xu, Hai-Jun Rong, Shaoyi Du, Badong Chen

IEEE Access, 2018

An Incremental Self-Learning Algorithm with Robustness against Impulsive Noise.

Rong-Jing Bao, Hai-Jun Rong, Jing Yang, Badong Chen

Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

2017

Recursive least mean p-power Extreme Learning Machine.

Jing Yang, Feng Ye, Hai-Jun Rong, Badong Chen

Neural Networks, 2017

Self-evolving kernel recursive least squares algorithm for control and prediction.

Zhao-Xu Yang, Hai-Jun Rong, Guang-She Zhao, Jing Yang

Proceedings of the 2017 Evolving and Adaptive Intelligent Systems, 2017

2016

Adaptive backstepping control for magnetic bearing system via feedforward networks with random hidden nodes.

Zhao-Xu Yang, Guang-She Zhao, Hai-Jun Rong, Jing Yang

Neurocomputing, 2016

Least mean p-power extreme learning machine for obstacle avoidance of a mobile robot.

Jing Yang, Pengpeng Chen, Hai-Jun Rong, Badong Chen

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Kernel adaptive filtering under generalized Maximum Correntropy Criterion.

Yicong He, Fei Wang, Jing Yang, Hai-Jun Rong, Badong Chen

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

State-statistical model based trajectory-band planning in urban environment.

Chao Ma, Jing Yang, Jianru Xue, Yuehu Liu, Liang Ma

Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

Aircraft sensor failure diagnosis using self-organizing fuzzy systems.

Hai-Jun Rong, Jian-Ming Bai, Jing Yang

Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015