Wenwen Qiang

Orcid: 0000-0002-7985-5743

According to our database¹, Wenwen Qiang authored at least 65 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Towards Task Sampler Learning for Meta-Learning.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., December, 2024

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

[BibT_eX]

[DOI]

Int. J. Comput. Vis., November, 2024

Regularized Hypothesis-Induced Wasserstein Divergence for unsupervised domain adaptation.

[BibT_eX]

[DOI]

Knowl. Based Syst., January, 2024

Manifold Constraint Regularization for Remote Sensing Image Generation.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 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

Background Debiased SAR Automatic Target Recognition via a Novel Causal Interventional Regularizer.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition.

[BibT_eX]

[DOI]

CoRR, 2024

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

DiffDesign: Controllable Diffusion with Meta Prior for Efficient Interior Design Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Neuromodulated Meta-Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

On the Generalization and Causal Explanation in Self-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Rethinking Meta-Learning from a Learning Lens.

[BibT_eX]

[DOI]

CoRR, 2024

Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

On the Causal Sufficiency and Necessity of Multi-Modal Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2024

On the Discriminability of Self-Supervised Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Not All Frequencies Are Created Equal:Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2024

Revisiting Spurious Correlation in Domain Generalization.

[BibT_eX]

[DOI]

CoRR, 2024

Teleporter Theory: A General and Simple Approach for Modeling Cross-World Counterfactual Causality.

[BibT_eX]

[DOI]

CoRR, 2024

Interventional Imbalanced Multi-Modal Representation Learning via β-Generalization Front-Door Criterion.

[BibT_eX]

[DOI]

CoRR, 2024

Learning Invariant Causal Mechanism from Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Explicitly Modeling Universality into Self-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Meta-Auxiliary Learning for Micro-Expression Recognition.

[BibT_eX]

[DOI]

CoRR, 2024

Intriguing Properties of Positional Encoding in Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2024

Not All Frequencies Are Created Equal: Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Is Encoded Popularity Always Harmful? Explicit Debiasing with Augmentation for Contrastive Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

Hacking Task Confounder in Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Unbiased Image Synthesis via Manifold Guidance in Diffusion Models.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Demo:SCDRL: Scalable and Customized Distributed Reinforcement Learning System.

[BibT_eX]

[DOI]

Chuxiong Sun

Wenwen Qiang

Jiangmeng Li

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 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

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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