Chenlong Hu

Orcid: 0000-0003-2741-9840

According to our database1, Chenlong Hu authored at least 11 papers between 2014 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Integration of Large Language Models in Control of EHD Pumps for Precise Color Synthesis.
CoRR, 2024

2023
Robust Ellipse Fitting Based on Maximum Correntropy Criterion With Variable Center.
IEEE Trans. Image Process., 2023

2021
Robust Ellipse Fitting With Laplacian Kernel Based Maximum Correntropy Criterion.
IEEE Trans. Image Process., 2021

Abstractive Document Summarization with Word Embedding Reconstruction.
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

Improving Character-Aware Neural Language Model by Warming up Character Encoder under Skip-gram Architecture.
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

One-class Text Classification with Multi-modal Deep Support Vector Data Description.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Robust Dynamic Clustering for Temporal Networks.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
A Simple and Effective Usage of Word Clusters for CBOW Model.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

2019
AutoEncoder Guided Bootstrapping of Semantic Lexicon.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

2014
A Transductive Support Vector Machine with adjustable quasi-linear kernel for semi-supervised data classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Fast Support Vector Data Description training using edge detection on large datasets.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014


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