Jiangmeng Li

Orcid: 0000-0002-3376-1522

According to our database¹, Jiangmeng Li authored at least 46 papers between 2021 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Physics-Guided Optical Simulation and PSF Analysis for Remote Sensing Images Deblurring.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

Unsupervised social event detection via hybrid graph contrastive learning and reinforced incremental clustering.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

Introducing diminutive causal structure into graph representation learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

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

[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.

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[DOI]

CoRR, 2024

Rethinking Meta-Learning from a Learning Lens.

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[DOI]

CoRR, 2024

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

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[DOI]

CoRR, 2024

Revisiting Spurious Correlation in Domain Generalization.

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[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.

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[DOI]

CoRR, 2024

Explicitly Modeling Universality into Self-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Graph Partial Label Learning with Potential Cause Discovering.

[BibT_eX]

[DOI]

CoRR, 2024

MSI: Multi-modal Recommendation via Superfluous Semantics Discarding and Interaction Preserving.

[BibT_eX]

[DOI]

Proceedings of the 2024 International Conference on Multimedia Retrieval, 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

T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration.

[BibT_eX]

[DOI]

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

Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning.

[BibT_eX]

[DOI]

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

Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective.

[BibT_eX]

[DOI]

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

Rethinking Causal Relationships Learning in Graph Neural Networks.

[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

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

[BibT_eX]

[DOI]

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

Rule Learning over Knowledge Graphs: A Review.

[BibT_eX]

[DOI]

Hong Wu

Zhe Wang

Kewen Wang

Pouya Ghiasnezhad Omran

Jiangmeng Li

TGDK, 2023

M2HGCL: Multi-Scale Meta-Path Integrated Heterogeneous Graph Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning.

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[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

M<sup>2</sup>HGCL: Multi-scale Meta-path Integrated Heterogeneous Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 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.

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[DOI]

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

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

A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Self-supervised Graph Learning with Segmented Graph Channels.

[BibT_eX]

[DOI]

Hang Gao

Jiangmeng Li

Changwen Zheng

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 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

Weight-Aware Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Supporting Medical Relation Extraction via Causality-Pruned Semantic Dependency Forest.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Short Text Clustering with a Deep Multi-embedded Self-supervised Model.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Jiangmeng Li

Timeline

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On csauthors.net:

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