Xin Sheng

Orcid: 0000-0002-8462-6849

According to our database1, Xin Sheng authored at least 22 papers between 2000 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Performance Analysis of STAR-RIS Assisted Secure Cognitive NOMA-HARQ Networks.
IEEE Wirel. Commun. Lett., March, 2024

Correction: FeatureB2SENet: point cloud classification of large scenes.
Vis. Comput., March, 2024

FeatureB2SENet: point cloud classification of large scenes.
Vis. Comput., February, 2024

Cross-Modal Fusion Convolutional Neural Networks With Online Soft-Label Training Strategy for Mechanical Fault Diagnosis.
IEEE Trans. Ind. Informatics, January, 2024

2023
Digital twin-driven focal modulation-based convolutional network for intelligent fault diagnosis.
Reliab. Eng. Syst. Saf., December, 2023

Effective capacity analysis of NOMA with transceiver hardware and SIC imperfections.
Phys. Commun., June, 2023

Joint Threshold Learning Convolutional Networks for Intelligent Fault Diagnosis Under Nonstationary Conditions.
IEEE Trans. Instrum. Meas., 2023

ItrievalKD: An Iterative Retrieval Framework Assisted with Knowledge Distillation for Noisy Text-to-Image Retrieval.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2022
SA-FEM: Combined Feature Selection and Feature Fusion for Students' Performance Prediction.
Sensors, 2022

Attention-based multiscale denoising residual convolutional neural networks for fault diagnosis of rotating machinery.
Reliab. Eng. Syst. Saf., 2022

E-Learning Performance Prediction: Mining the Feature Space of Effective Learning Behavior.
Entropy, 2022

Semantic-Preserving Abstractive Text Summarization with Siamese Generative Adversarial Net.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

SA-FGDEM: A Self-adaptive E-Learning Performance Prediction Model.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

CoCGAN: Contrastive Learning for Adversarial Category Text Generation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Sequence-to-Action: Grammatical Error Correction with Action Guided Sequence Generation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Efficient convex optimization-based texture mapping for large-scale 3D scene reconstruction.
Inf. Sci., 2021

2020
Label Incorporated Graph Neural Networks for Text Classification.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

IntroVNMT: An Introspective Model for Variational Neural Machine Translation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Whole Genome Analyses of Chinese Population and <i>De Novo</i> Assembly of A Northern Han Genome.
Genom. Proteom. Bioinform., 2019

Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017
MTD: a mammalian transcriptomic database to explore gene expression and regulation.
Briefings Bioinform., 2017

2000
FIMM, a database of functional molecular immunology.
Nucleic Acids Res., 2000


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