Shuang Li

Orcid: 0000-0001-6807-9905

Affiliations:

Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China
Tsinghua University, Department of Automation, Beijing, China
Cornell University, Department of Computer Science, Ithaka, NY, USA (2015-2016)

According to our database¹, Shuang Li authored at least 66 papers between 2017 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

Domain Adaptation via Prompt Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., January, 2025

2024

Adapting Across Domains via Target-Oriented Transferable Semantic Augmentation Under Prototype Constraint.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., April, 2024

Exploring Spatiotemporal Consistency of Features for Video Translation in Consumer Internet of Things.

[BibT_eX]

[DOI]

Haichuan Tang

Zhenjie Yu

Shuang Li

IEEE Trans. Consumer Electron., February, 2024

Principal Properties Attention Matching for Partial Domain Adaptation in Fault Diagnosis.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2024

Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

Weighted Multiple Source-Free Domain Adaptation Ensemble Network in Intelligent Machinery Fault Diagnosis.

[BibT_eX]

[DOI]

Renhu Bu

Shuang Li

Chi Harold Liu

Proceedings of the Knowledge Science, Engineering and Management, 2024

Enhancing Cross-Modal Fine-Tuning with Gradually Intermediate Modality Generation.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Modality Knowledge Alignment for Cross-Modality Transfer.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

End-to-End Transferable Anomaly Detection via Multi-Spectral Cross-Domain Representation Alignment.

[BibT_eX]

[DOI]

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

Critical Classes and Samples Discovering for Partial Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., September, 2023

A Collaborative Alignment Framework of Transferable Knowledge Extraction for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

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

SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Meta-Reweighted Regularization for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

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

Joint Semantic Transfer Network for IoT Intrusion Detection.

[BibT_eX]

[DOI]

IEEE Internet Things J., February, 2023

Domain Adaptive Remote Sensing Scene Recognition via Semantic Relationship Knowledge Transfer.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Few Clicks Suffice: Active Test-Time Adaptation for Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Generalized Robust Test-Time Adaptation in Continuous Dynamic Scenarios.

[BibT_eX]

[DOI]

CoRR, 2023

Evolving Standardization for Continual Domain Generalization over Temporal Drift.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Language Semantic Graph Guided Data-Efficient Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Style Transfer Meets Super-Resolution: Advancing Unpaired Infrared-to-Visible Image Translation with Detail Enhancement.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Dirichlet-based Uncertainty Calibration for Active Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Robust Test-Time Adaptation in Dynamic Scenarios.

[BibT_eX]

[DOI]

Longhui Yuan

Binhui Xie

Shuang Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

On the Difficulty of Unpaired Infrared-to-Visible Video Translation: Fine-Grained Content-Rich Patches Transfer.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Improving Generalization with Domain Convex Game.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Generalized Domain Conditioned Adaptation Network.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

ROMA: Cross-Domain Region Similarity Matching for Unpaired Nighttime Infrared to Daytime Visible Video Translation.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Making The Best of Both Worlds: A Domain-Oriented Transformer for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Improving Transferability for Domain Adaptive Detection Transformers.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Causality Inspired Representation Learning for Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Active Learning for Domain Adaptation: An Energy-Based Approach.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Graph Embedding-Based Dimension Reduction With Extreme Learning Machine.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2021

Discriminative Dimension Reduction via Maximin Separation Probability Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

Deep Residual Correction Network for Partial Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Incentive Compatible Pareto Alignment for Multi-Source Large Graphs.

[BibT_eX]

[DOI]

CoRR, 2021

Exploiting Both Domain-specific and Invariant Knowledge via a Win-win Transformer for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2021

SPCL: A New Framework for Domain Adaptive Semantic Segmentation via Semantic Prototype-based Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Semantic Distribution-aware Contrastive Adaptation for Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

Pareto Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2022 Competition Track, 2021

ZiGAN: Fine-grained Chinese Calligraphy Font Generation via a Few-shot Style Transfer Approach.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

I2V-GAN: Unpaired Infrared-to-Visible Video Translation.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Target-oriented Self Training for Heterogeneous Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

Semantic Concentration for Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud Based Place Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Dynamic Domain Adaptation for Efficient Inference.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Transferable Semantic Augmentation for Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

One-shot Face Reenactment Using Appearance Adaptive Normalization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Discriminative Transfer Feature and Label Consistency for Cross-Domain Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

A Graph Embedding Framework for Maximum Mean Discrepancy-Based Domain Adaptation Algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

Domain Agnostic Learning for Unbiased Authentication.

[BibT_eX]

[DOI]

CoRR, 2020

Simultaneous Semantic Alignment Network for Heterogeneous Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Domain Conditioned Adaptation Network.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Cross-Domain Extreme Learning Machines for Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2019

Domain Space Transfer Extreme Learning Machine for Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

Joint Adversarial Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Multimedia, 2019

2018

Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2018

Layer-wise domain correction for unsupervised domain adaptation.

[BibT_eX]

[DOI]

Shuang Li

Shiji Song

Cheng Wu

Frontiers Inf. Technol. Electron. Eng., 2018

Laplacian twin extreme learning machine for semi-supervised classification.

[BibT_eX]

[DOI]

Shuang Li

Shiji Song

Yihe Wan

Neurocomputing, 2018

2017

Prediction Reweighting for Domain Adaptation.

[BibT_eX]

[DOI]

Shuang Li

Shiji Song

Gao Huang

IEEE Trans. Neural Networks Learn. Syst., 2017

Twin extreme learning machines for pattern classification.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Shuang Li

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...