Mengmeng Jing

Orcid: 0000-0002-0693-2197

According to our database¹, Mengmeng Jing authored at least 26 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Alleviation of Leakage Current and Neutral Point Voltage Deviation for Using an Eight-Switch Inverter.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., August, 2024

Visually Source-Free Domain Adaptation via Adversarial Style Matching.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Network.

[BibT_eX]

[DOI]

CoRR, 2024

Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Open Set Domain Adaptation via Joint Alignment and Category Separation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Adversarial Mixup Ratio Confusion for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Order-preserving Consistency Regularization for Domain Adaptation and Generalization.

[BibT_eX]

[DOI]

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

2022

Faster Domain Adaptation Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Investigating the Bilateral Connections in Generative Zero-Shot Learning.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Variational Model Perturbation for Source-Free Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Adaptive Component Embedding for Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

Challenging tough samples in unsupervised domain adaptation.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Balanced Open Set Domain Adaptation via Centroid Alignment.

[BibT_eX]

[DOI]

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

2020

Learning explicitly transferable representations for domain adaptation.

[BibT_eX]

[DOI]

Neural Networks, 2020

Joint metric and feature representation learning for unsupervised domain adaptation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Multi-source domain adaptation with graph embedding and adaptive label prediction.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2020

Learning Modality-Invariant Latent Representations for Generalized Zero-shot Learning.

[BibT_eX]

[DOI]

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

Incomplete Cross-modal Retrieval with Dual-Aligned Variational Autoencoders.

[BibT_eX]

[DOI]

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

2019

Locality Preserving Joint Transfer for Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

Alleviating Feature Confusion for Generative Zero-shot Learning.

[BibT_eX]

[DOI]

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

Agile Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Adaptive Component Embedding for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

A Domain Adaptation Approach for Multistream Classification.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2019

Leveraging the Invariant Side of Generative Zero-Shot Learning.

[BibT_eX]

[DOI]

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

From Zero-Shot Learning to Cold-Start Recommendation.

[BibT_eX]

[DOI]

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

2018

Learning Distribution-Matched Landmarks for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2018

Mengmeng Jing

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