Xiaohe Li

Orcid: 0000-0003-4430-4164

According to our database1, Xiaohe Li authored at least 25 papers between 2003 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Graph Neural Network with curriculum learning for imbalanced node classification.
Neurocomputing, March, 2024

Photogrammetry for Unconstrained Optical Satellite Imagery With Combined Neural Radiance Fields.
IEEE Geosci. Remote. Sens. Lett., 2024

Task-oriented analysis and visualization of correlation patterns in multi-sensor time series.
Knowl. Based Syst., 2024

MetaTra: Meta-Learning for Generalized Trajectory Prediction in Unseen Domain.
CoRR, 2024

MDD: Process Drift Detection in Event Logs Integrating Multiple Perspectives.
Proceedings of the IEEE International Conference on Web Services, 2024

2023
Developing a More Reliable Framework for Extracting Traffic Data From a UAV Video.
IEEE Trans. Intell. Transp. Syst., November, 2023

Containment control for fractional order MASs with nonlinearity and time delay via pull-based event-triggered mechanism.
Appl. Math. Comput., October, 2023

A Framework for Infectious Disease Monitoring With Automated Contact Tracing - A Case Study of COVID-19.
IEEE Internet Things J., 2023

2022
Extracting High-Precision Vehicle Motion Data from Unmanned Aerial Vehicle Video Captured under Various Weather Conditions.
Remote. Sens., 2022

Graph Neural Network with Curriculum Learning for Imbalanced Node Classification.
CoRR, 2022

2021
A comparative analysis of eleven neural networks architectures for small datasets of lung images of COVID-19 patients toward improved clinical decisions.
Comput. Biol. Medicine, 2021

Pchatbot: A Large-Scale Dataset for Personalized Chatbot.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Pchatbot: A Large-Scale Dataset for Personalized Chatbot.
CoRR, 2020

GAHNE: Graph-Aggregated Heterogeneous Network Embedding.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

2019
A Hybrid Framework of Emotion-Aware Seq2Seq Model for Emotional Conversation Generation.
Proceedings of the NII Testbeds and Community for Information Access Research, 2019

2018
A Research on Fast Face Feature Points Detection on Smart Mobile Devices.
Wirel. Commun. Mob. Comput., 2018

2017
Character segmentation in text line via convolutional neural network.
Proceedings of the 4th International Conference on Systems and Informatics, 2017

2012
Scaling the kernel function based on the separating boundary in input space: A data-dependent way for improving the performance of kernel methods.
Inf. Sci., 2012

2010
Analysis of the distance between two classes for tuning SVM hyperparameters.
IEEE Trans. Neural Networks, 2010

2009
Distance between Two Classes: A Novel Kernel Class Separability Criterion.
IEICE Trans. Inf. Syst., 2009

2008
Image Segmentation Using Fuzzy Clustering with Spatial Constraints Based on Markov Random Field via Bayesian Theory.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2008

2006
Prediction of Chaotic Time Series Based on Multi-scale Gaussian Processes.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Predicting Nonstationary Time Series with Multi-scale Gaussian Processes Model.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

2003
Optimizing Mobile Network Datagram Routing through Programmable Proxying.
Proceedings of the Mobile and Wireless Communications Networks, 2003


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