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 55 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
Adapting Across Domains via Target-Oriented Transferable Semantic Augmentation Under Prototype Constraint.
Int. J. Comput. Vis., April, 2024

Principal Properties Attention Matching for Partial Domain Adaptation in Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2024

2023
End-to-End Transferable Anomaly Detection via Multi-Spectral Cross-Domain Representation Alignment.
IEEE Trans. Knowl. Data Eng., December, 2023

Critical Classes and Samples Discovering for Partial Domain Adaptation.
IEEE Trans. Cybern., September, 2023

A Collaborative Alignment Framework of Transferable Knowledge Extraction for Unsupervised Domain Adaptation.
IEEE Trans. Knowl. Data Eng., July, 2023

SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Meta-Reweighted Regularization for Unsupervised Domain Adaptation.
IEEE Trans. Knowl. Data Eng., March, 2023

Joint Semantic Transfer Network for IoT Intrusion Detection.
IEEE Internet Things J., February, 2023

Domain Adaptive Remote Sensing Scene Recognition via Semantic Relationship Knowledge Transfer.
IEEE Trans. Geosci. Remote. Sens., 2023

Few Clicks Suffice: Active Test-Time Adaptation for Semantic Segmentation.
CoRR, 2023

Language Semantic Graph Guided Data-Efficient Learning.
CoRR, 2023

Generalized Robust Test-Time Adaptation in Continuous Dynamic Scenarios.
CoRR, 2023

Evolving Standardization for Continual Domain Generalization over Temporal Drift.
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.
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.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Dirichlet-based Uncertainty Calibration for Active Domain Adaptation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Robust Test-Time Adaptation in Dynamic Scenarios.
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.
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.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Generalized Domain Conditioned Adaptation Network.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Domain Adaptation via Prompt Learning.
CoRR, 2022

ROMA: Cross-Domain Region Similarity Matching for Unpaired Nighttime Infrared to Daytime Visible Video Translation.
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.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Improving Transferability for Domain Adaptive Detection Transformers.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Causality Inspired Representation Learning for Domain Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Active Learning for Domain Adaptation: An Energy-Based Approach.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Graph Embedding-Based Dimension Reduction With Extreme Learning Machine.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Discriminative Dimension Reduction via Maximin Separation Probability Analysis.
IEEE Trans. Cybern., 2021

Deep Residual Correction Network for Partial Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Exploiting Both Domain-specific and Invariant Knowledge via a Win-win Transformer for Unsupervised Domain Adaptation.
CoRR, 2021

SPCL: A New Framework for Domain Adaptive Semantic Segmentation via Semantic Prototype-based Contrastive Learning.
CoRR, 2021

Semantic Distribution-aware Contrastive Adaptation for Semantic Segmentation.
CoRR, 2021

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


ZiGAN: Fine-grained Chinese Calligraphy Font Generation via a Few-shot Style Transfer Approach.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

I2V-GAN: Unpaired Infrared-to-Visible Video Translation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Target-oriented Self Training for Heterogeneous Domain Adaptation.
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.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Dynamic Domain Adaptation for Efficient Inference.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Transferable Semantic Augmentation for Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Discriminative Transfer Feature and Label Consistency for Cross-Domain Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2020

A Graph Embedding Framework for Maximum Mean Discrepancy-Based Domain Adaptation Algorithms.
IEEE Trans. Image Process., 2020

Simultaneous Semantic Alignment Network for Heterogeneous Domain Adaptation.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Domain Conditioned Adaptation Network.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Cross-Domain Extreme Learning Machines for Domain Adaptation.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Domain Space Transfer Extreme Learning Machine for Domain Adaptation.
IEEE Trans. Cybern., 2019

Joint Adversarial Domain Adaptation.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

2018
Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation.
IEEE Trans. Image Process., 2018

Layer-wise domain correction for unsupervised domain adaptation.
Frontiers Inf. Technol. Electron. Eng., 2018

Laplacian twin extreme learning machine for semi-supervised classification.
Neurocomputing, 2018

2017
Prediction Reweighting for Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst., 2017

Twin extreme learning machines for pattern classification.
Neurocomputing, 2017


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