Jianqing Liang

Orcid: 0000-0002-1461-2329

According to our database¹, Jianqing Liang authored at least 35 papers between 2013 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Links

On csauthors.net:

Bibliography

2026

Time-varying Interaction Graph ODE for Dynamic Graph Representation Learning.

[BibT_eX]

[DOI]

CoRR, April, 2026

Counterfactual Meta-task Augmentation for Few-shot Graph Node Classification.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

Graph Adversarial Defense via Hilbert-Schmidt Independence Criterion against Influence Maximization Attacks.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

Semantic Guided Part Relation-aware Network for Point Cloud Completion.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Point Cloud Semantic Scene Completion with Prototype-Guided Transformer.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Uncertainty-guided Graph Contrastive Learning from a Unified Perspective.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Multi-Modal Point Cloud Completion with Interleaved Attention Enhanced Transformer.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Open-World Semi-Supervised Learning with Class Semantic Correlations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

CSG-ODE: ControlSynth Graph ODE For Modeling Complex Evolution of Dynamic Graphs.

[BibT_eX]

[DOI]

Zhiqiang Wang

Xiaoyi Wang

Jianqing Liang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Delay-DSGN: A Dynamic Spiking Graph Neural Network with Delay Mechanisms for Evolving Graph.

[BibT_eX]

[DOI]

Zhiqiang Wang

Jianghao Wen

Jianqing Liang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

ML2-GCL: Manifold Learning Inspired Lightweight Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Human Cognition-Inspired Hierarchical Fuzzy Learning Machine.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Class Semantic Attribute Perception Guided Zero-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Graph Regulation Network for Point Cloud Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

GUIDE: Training Deep Graph Neural Networks via Guided Dropout Over Edges.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., April, 2024

A zero-shot learning boosting framework via concept-constrained clustering.

[BibT_eX]

[DOI]

Pattern Recognit., January, 2024

Graph External Attention Enhanced Transformer.

[BibT_eX]

[DOI]

Jianqing Liang

Min Chen

Jiye Liang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Long and Short-Range Dependency Graph Structure Learning Framework on Point Cloud.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Graph Neural Networks with Interlayer Feature Representation for Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

A General Representation Learning Framework with Generalization Performance Guarantees.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

Semisupervised Laplace-Regularized Multimodality Metric Learning.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Cross-modal propagation network for generalized zero-shot learning.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2022

Graph convolutional autoencoders with co-learning of graph structure and node attributes.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Metric learning via perturbing hard-to-classify instances.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Multi-view graph convolutional networks with attention mechanism.

[BibT_eX]

[DOI]

Artif. Intell., 2022

2021

Metric learning with clustering-based constraints.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2021

Semi-supervised learning with mixed-order graph convolutional networks.

[BibT_eX]

[DOI]

Inf. Sci., 2021

2019

Weighted Graph Embedding-Based Metric Learning for Kinship Verification.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

2018

Efficient multi-modal geometric mean metric learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2018

2017

Semisupervised Online Multikernel Similarity Learning for Image Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2017

2016

Semi-supervised image clustering with multi-modal information.

[BibT_eX]

[DOI]

Jianqing Liang

Yahong Han

Qinghua Hu

Multim. Syst., 2016

2013

A deterministic annealing algorithm for approximating a solution of the linearly constrained nonconvex quadratic minimization problem.

[BibT_eX]

[DOI]

Chuangyin Dang

Jianqing Liang

Yang Yang

Neural Networks, 2013

Jianqing Liang

Timeline

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On csauthors.net:

Bibliography

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