Qin Li

Orcid: 0000-0002-5789-2578

Affiliations:
  • Beijing Institute of Technology, School of Mechanical Engineering, Beijing, China


According to our database1, Qin Li authored at least 17 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Parallel Self-Learned and Predefined Joint Spatial-Temporal Graph Convolutional Networks for Traffic Flow Prediction.
IEEE Internet Things J., May, 2025

2024
Spatial-Temporal Traffic Prediction With an Interactive Spatial-Enhanced Graph Convolutional Network Model.
IEEE Trans. Intell. Transp. Syst., December, 2024

Spatial-Temporal Traffic Modeling With a Fusion Graph Reconstructed by Tensor Decomposition.
IEEE Trans. Intell. Transp. Syst., February, 2024

Self-Supervised Pretraining Based on Noise-Free Motion Reconstruction and Semantic-Aware Contrastive Learning for Human Motion Prediction.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Semantic Correlation Attention-Based Multiorder Multiscale Feature Fusion Network for Human Motion Prediction.
IEEE Trans. Cybern., February, 2024

Learning-Based Vehicle State Estimation Using Gaussian Process Regression Combined with Extended Kalman Filter.
J. Frankl. Inst., 2024

Learning spatial-temporal pairwise and high-order relationships for short-term passenger flow prediction in urban rail transit.
Expert Syst. Appl., 2024

Multi-Source Information Fusion Graph Convolution Network for traffic flow prediction.
Expert Syst. Appl., 2024

2023
Learning spatial-temporal dynamics and interactivity for short-term passenger flow prediction in urban rail transit.
Appl. Intell., August, 2023

2022
A Robust Image-Sequence-Based Framework for Visual Place Recognition in Changing Environments.
IEEE Trans. Cybern., 2022

A Novel Teacher-Assistance-Based Method to Detect and Handle Bad Training Demonstrations in Learning From Demonstration.
IEEE Trans. Cogn. Dev. Syst., 2022

Spatial-temporal traffic modeling with a fusion graph reconstructed by tensor decomposition.
CoRR, 2022

2021
Nonrecurrent traffic congestion detection with a coupled scalable Bayesian robust tensor factorization model.
Neurocomputing, 2021

Directed Acyclic Graph Neural Network for Human Motion Prediction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Cross-Type Transfer for Deep Reinforcement Learning Based Hybrid Electric Vehicle Energy Management.
IEEE Trans. Veh. Technol., 2020

Non-recurrent Traffic Congestion Detection with a Coupled Scalable Bayesian Robust Tensor Factorization Model.
CoRR, 2020

Traffic Flow Prediction With Missing Data Imputed by Tensor Completion Methods.
IEEE Access, 2020


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