Rui Li

According to our database, Rui Li authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Self-Guided Partial Graph Propagation for Incomplete Multiview Clustering.

Cheng Liu, Rui Li, Si Wu, Hangjun Che, Dazhi Jiang, Zhiwen Yu, Hau-San Wong

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Adaptive dual graph regularization for clustered multi-task learning.

Cheng Liu, Rui Li, Sentao Chen, Lin Zheng, Dazhi Jiang

Neurocomputing, March, 2024

Collaborative Structure-Preserved Missing Data Imputation for Single-Cell RNA-Seq Clustering.

Hang Gao, Wenjun Shen, Rui Li, Cheng Liu, Si Wu

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

Contrastive Graph Distribution Alignment for Partially View-Aligned Clustering.

Xibiao Wang, Hang Gao, Xindian Wei, Liang Peng, Rui Li, Cheng Liu, Si Wu, Hau-San Wong

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.

Zhenping Li, Si Wu, Xindian Wei, Qianfen Jiao, Cheng Liu, Rui Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Text-Conditional Attribute Alignment Across Latent Spaces for 3D Controllable Face Image Synthesis.

Feifan Xu, Rui Li, Si Wu, Yong Xu, Hau-San Wong

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.

Rui Li, Cheng Liu, Yu Tong, Jiang Dazhi

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.

Rui Li, Cheng Liu, Dazhi Jiang

Knowl. Based Syst., November, 2023

Self-Supervised Graph Completion for Incomplete Multi-View Clustering.

Cheng Liu, Si Wu, Rui Li, Dazhi Jiang, Hau-San Wong

IEEE Trans. Knowl. Data Eng., September, 2023

2022

Unsupervised discriminative feature learning via finding a clustering-friendly embedding space.

Wenming Cao, Zhongfan Zhang, Cheng Liu, Rui Li, Qianfen Jiao, Zhiwen Yu, Hau-San Wong

Pattern Recognit., 2022

Reliable Self-Supervised Information Mining for Deep Subspace Clustering.

Junjie Liang, Hang Gao, Haojun Sun, Rui Li, Cheng Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Asymmetric Mutual Learning for Multi-source Unsupervised Sentiment Adaptation with Dynamic Feature Network.

Rui Li, Cheng Liu, Dazhi Jiang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

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

Qianfen Jiao, Rui Li, Wenming Cao, Jian Zhong, Si Wu, Hau-San Wong

Pattern Recognit., 2021

Unsupervised Ensemble Learning Via Network Generation.

Zhongfan Zhang, Wenming Cao, Cheng Liu, Rui Li, Qianfen Jiao, Zhiwen Yu, C. L. Philip Chen, Hau-San Wong

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020

Semi-Supervised Human Detection via Region Proposal Networks Aided by Verification.

Si Wu, Wenhao Wu, Shiyao Lei, Sihao Lin, Rui Li, Zhiwen Yu, Hau-San Wong

IEEE Trans. Image Process., 2020

Generating Target Image-Label Pairs for Unsupervised Domain Adaptation.

Rui Li, Wenming Cao, Si Wu, Hau-San Wong

IEEE Trans. Image Process., 2020

Simplified unsupervised image translation for semantic segmentation adaptation.

Rui Li, Wenming Cao, Qianfen Jiao, Si Wu, Hau-San Wong

Pattern Recognit., 2020

Model Adaptation: Unsupervised Domain Adaptation Without Source Data.

Rui Li, Qianfen Jiao, Wenming Cao, Hau-San Wong, Si Wu

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.

Si Wu, Guangchang Deng, Jichang Li, Rui Li, Zhiwen Yu, Hau-San Wong

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks.

Si Wu, Jian Zhong, Wenming Cao, Rui Li, Zhiwen Yu, Hau-San Wong

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Coupled Learning for Image Generation and Latent Representation Inference Using MMD.

Sheng Qian, Wen-ming Cao, Rui Li, Si Wu, Hau-San Wong

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Self-supervised GAN for Image Generation by Correlating Image Channels.

Sheng Qian, Wen-ming Cao, Rui Li, Si Wu, Hau-San Wong

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Cross-domain Semantic Feature Learning via Adversarial Adaptation Networks.

Rui Li, Wen-ming Cao, Sheng Qian, Hau-San Wong, Si Wu

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Efficient Direct Structured Subspace Clustering.

Wen-ming Cao, Rui Li, Sheng Qian, Si Wu, Hau-San Wong

Proceedings of the Neural Information Processing - 25th International Conference, 2018