Xueyi Liu

According to our database1, Xueyi Liu authored at least 20 papers between 2007 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
Improving the crop classification performance by unlabeled remote sensing data.
Expert Syst. Appl., February, 2024

GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising Diffusion.
CoRR, 2024

2023
Forest Aboveground Biomass Estimation from High-Resolution Imagery in Wuhan City, China.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

PnP: Integrated Prediction and Planning for Interactive Lane Change in Dense Traffic.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Self-Supervised Category-Level Articulated Object Pose Estimation with Part-Level SE(3) Equivariance.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Few-Shot Physically-Aware Articulated Mesh Generation via Hierarchical Deformation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Aspect-Oriented Opinion Alignment Network for Aspect-Based Sentiment Classification.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
Understanding WeChat User Preferences and "Wow" Diffusion.
IEEE Trans. Knowl. Data Eng., 2022

Density Peaks Clustering Based on Feature Reduction and Quasi-Monte Carlo.
Sci. Program., 2022

Similarity-aware Positive Instance Sampling for Graph Contrastive Pre-training.
CoRR, 2022

AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Network representation learning: A macro and micro view.
AI Open, 2021

2019
The Design and Implementation of High Speed Hybrid Radices Reconfigurable FFT Processor.
Proceedings of the 13th IEEE International Conference on ASIC, 2019

2018
On feature selection and blast furnace temperature tendency prediction in hot metal based on SVM-RFE.
Proceedings of the 2018 Australian & New Zealand Control Conference (ANZCC), 2018

2017
The selection of input weights of extreme learning machine: A sample structure preserving point of view.
Neurocomputing, 2017

2013
Symmetric extreme learning machine.
Neural Comput. Appl., 2013

Cost-Sensitive Extreme Learning Machine.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

2012
A comparative analysis of support vector machines and extreme learning machines.
Neural Networks, 2012

2011
Data-Driven Modeling Based on Volterra Series for Multidimensional Blast Furnace System.
IEEE Trans. Neural Networks, 2011

2007
Prediction of Silicon Content in Hot Metal Based on Bayesian Network.
Proceedings of the Third International Conference on Natural Computation, 2007


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