Rui Li

Orcid: 0000-0002-8224-7888

Affiliations:
  • Shantou University, Department of Computer Science, China
  • City University of Hong Kong, Department of Computer Science, Hong Kong (PhD 2020)


According to our database1, Rui Li authored at least 25 papers between 2018 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
Latent Structure-Aware View Recovery for Incomplete Multi-View Clustering.
IEEE Trans. Knowl. Data Eng., December, 2024

Self-Guided Partial Graph Propagation for Incomplete Multiview Clustering.
IEEE Trans. Neural Networks Learn. Syst., August, 2024

Adaptive dual graph regularization for clustered multi-task learning.
Neurocomputing, March, 2024

Collaborative Structure-Preserved Missing Data Imputation for Single-Cell RNA-Seq Clustering.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

Contrastive Graph Distribution Alignment for Partially View-Aligned Clustering.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Reference-conditional Makeup-aware Discrimination for Face Image Beautification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Text-Conditional Attribute Alignment Across Latent Spaces for 3D Controllable Face Image Synthesis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Feature Structure Matching for Multi-source Sentiment Analysis with Efficient Adaptive Tuning.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Efficient dynamic feature adaptation for cross language sentiment analysis with biased adversarial training.
Knowl. Based Syst., November, 2023

Self-Supervised Graph Completion for Incomplete Multi-View Clustering.
IEEE Trans. Knowl. Data Eng., September, 2023

2022
Unsupervised discriminative feature learning via finding a clustering-friendly embedding space.
Pattern Recognit., 2022

Reliable Self-Supervised Information Mining for Deep Subspace Clustering.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Asymmetric Mutual Learning for Multi-source Unsupervised Sentiment Adaptation with Dynamic Feature Network.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
DDAT: Dual domain adaptive translation for low-resolution face verification in the wild.
Pattern Recognit., 2021

Unsupervised Ensemble Learning Via Network Generation.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020
Semi-Supervised Human Detection via Region Proposal Networks Aided by Verification.
IEEE Trans. Image Process., 2020

Generating Target Image-Label Pairs for Unsupervised Domain Adaptation.
IEEE Trans. Image Process., 2020

Simplified unsupervised image translation for semantic segmentation adaptation.
Pattern Recognit., 2020

Model Adaptation: Unsupervised Domain Adaptation Without Source Data.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Coupled Learning for Image Generation and Latent Representation Inference Using MMD.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Self-supervised GAN for Image Generation by Correlating Image Channels.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Cross-domain Semantic Feature Learning via Adversarial Adaptation Networks.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Efficient Direct Structured Subspace Clustering.
Proceedings of the Neural Information Processing - 25th International Conference, 2018


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