Wenwen Qiang

Orcid: 0000-0002-7985-5743

According to our database¹, Wenwen Qiang authored at least 39 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Regularized Hypothesis-Induced Wasserstein Divergence for unsupervised domain adaptation.

[BibT_eX]

[DOI]

Knowl. Based Syst., January, 2024

A Trusted Generative-Discriminative Joint Feature Learning Framework for Remote Sensing Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

A Novel Causal Inference-Guided Feature Enhancement Framework for PolSAR Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction.

[BibT_eX]

[DOI]

CoRR, 2024

Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning.

[BibT_eX]

[DOI]

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

Self-Supervised Representation Learning with Meta Comprehensive Regularization.

[BibT_eX]

[DOI]

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

2023

Information theory-guided heuristic progressive multi-view coding.

[BibT_eX]

[DOI]

Neural Networks, October, 2023

Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity.

[BibT_eX]

[DOI]

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

Meta Attention-Generation Network for Cross-Granularity Few-Shot Learning.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., May, 2023

A Polarimetric Scattering Characteristics-Guided Adversarial Learning Approach for Unsupervised PolSAR Image Classification.

[BibT_eX]

[DOI]

Remote. Sens., April, 2023

Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation.

[BibT_eX]

[DOI]

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

Hacking Task Confounder in Meta-Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Background Debiased SAR Target Recognition via Causal Interventional Regularizer.

[BibT_eX]

[DOI]

CoRR, 2023

Unleash Model Potential: Bootstrapped Meta Self-supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Learning to Sample Tasks for Meta Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Towards the Sparseness of Projection Head in Self-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Manifold-Guided Sampling in Diffusion Models for Unbiased Image Generation.

[BibT_eX]

[DOI]

CoRR, 2023

A Dimensional Structure based Knowledge Distillation Method for Cross-Modal Learning.

[BibT_eX]

[DOI]

CoRR, 2023

A Unified GAN Framework Regarding Manifold Alignment for Remote Sensing Images Generation.

[BibT_eX]

[DOI]

CoRR, 2023

Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation.

[BibT_eX]

[DOI]

CoRR, 2023

Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective.

[BibT_eX]

[DOI]

CoRR, 2023

Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization.

[BibT_eX]

[DOI]

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

Spatio-Temporal Branching for Motion Prediction using Motion Increments.

[BibT_eX]

[DOI]

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

Rethinking skip connection model as a learnable Markov chain.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from a Conditional Causal Perspective.

[BibT_eX]

[DOI]

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

Robust Causal Graph Representation Learning against Confounding Effects.

[BibT_eX]

[DOI]

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

2022

Feature extraction framework based on contrastive learning with adaptive positive and negative samples.

[BibT_eX]

[DOI]

Neural Networks, 2022

Unified feature extraction framework based on contrastive learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

RHMC: Modeling consistent information from deep multiple views via Regularized and Hybrid Multiview Coding.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Multi-view representation learning from local consistency and global alignment.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Supporting Vision-Language Model Inference with Causality-pruning Knowledge Prompt.

[BibT_eX]

[DOI]

CoRR, 2022

TSVM-M3: Twin support vector machine based on multi-order moment matching for large-scale multi-class classification.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2022

MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning.

[BibT_eX]

[DOI]

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

Bootstrapping Informative Graph Augmentation via A Meta Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Interventional Contrastive Learning with Meta Semantic Regularizer.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

MetAug: Contrastive Learning via Meta Feature Augmentation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

Auxiliary task guided mean and covariance alignment network for adversarial domain adaptation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Locality cross-view regression for feature extraction.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2021

2020

Robust weighted linear loss twin multi-class support vector regression for large-scale classification.

[BibT_eX]

[DOI]

Signal Process., 2020

Wenwen Qiang

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