Liang Yang

Orcid: 0000-0001-6291-4359

Affiliations:

Hebei University of Technology, School of Computer Science and Engineering, Tianjin, China
Tianjin University of Commerce, School of Information Engineering, China (former)
Chinese Academy of Sciences, State Key Laboratory of Information Security, Beijing, China (PhD 2016)

According to our database¹, Liang Yang authored at least 79 papers between 2014 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

InqEduAgent: Adaptive AI Learning Partners with Gaussian Process Augmentation.

[BibT_eX]

[DOI]

CoRR, August, 2025

Graph Convolutional Mixture-of-Experts Learner Network for Long-Tailed Domain Generalization.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., July, 2025

ERMAV: Efficient and Robust Graph Contrastive Learning via Multiadversarial Views Training.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., May, 2025

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, May, 2025

ALD-GCN: Graph Convolutional Networks With Attribute-Level Defense.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, April, 2025

Generalizable AI-Generated Image Detection Based on Fractal Self-Similarity in the Spectrum.

[BibT_eX]

[DOI]

CoRR, March, 2025

A Lightweight Edge Computing Neural Network for Online Photovoltaic Defect Inspection.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2025

Edge Computing Accelerator for Real-Time Defect Detection of Photovoltaic Panel on Lightweight FPGAs.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2025

A multimodal information-interconnected network for medication guidance in HR+/HER2- breast cancer treatment.

[BibT_eX]

[DOI]

Inf. Fusion, 2025

DUALFormer: Dual Graph Transformer.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Semi-Supervised Clustering Framework for Fine-grained Scene Graph Generation.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Modeling Information Cocoons in Networked Populations: Insights From Backgrounds and Preferences.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., June, 2024

Binary Graph Convolutional Network With Capacity Exploration.

[BibT_eX]

[DOI]

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

Analyzing Heterogeneous Networks With Missing Attributes by Unsupervised Contrastive Learning.

[BibT_eX]

[DOI]

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

Mining Multiplatform Opinions During Public Health Crisis: A Comparative Study.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., April, 2024

Adaptive Feature Learning for Unbiased Scene Graph Generation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

Heterophily-aware graph attention network.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2024

GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2024

Graph Contrastive Learning Reimagined: Exploring Universality.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

GAUSS: GrAph-customized Universal Self-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Unified Graph Augmentations for Generalized Contrastive Learning on Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Understanding Heterophily for Graph Neural Networks.

[BibT_eX]

[DOI]

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

Improving Graph Contrastive Learning via Adaptive Positive Sampling.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation Embedding.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, December, 2023

Adversarial Representation Mechanism Learning for Network Embedding.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

Graph Neural Networks without Propagation.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Self-supervised Graph Neural Networks via Low-Rank Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Propagation is All You Need: A New Framework for Representation Learning and Classifier Training on Graphs.

[BibT_eX]

[DOI]

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

Long Short-Term Graph Memory Against Class-imbalanced Over-smoothing.

[BibT_eX]

[DOI]

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

Focusing on Flexible Masks: A Novel Framework for Panoptic Scene Graph Generation with Relation Constraints.

[BibT_eX]

[DOI]

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

LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Graph Reciprocal Neural Networks by Abstracting Node as Attribute.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Deepfake Video Detection via Facial Action Dependencies Estimation.

[BibT_eX]

[DOI]

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

2022

Probabilistic Graph Convolutional Network via Topology-Constrained Latent Space Model.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Relation Embedding based Graph Neural Networks for Handling Heterogeneous Graph.

[BibT_eX]

[DOI]

CoRR, 2022

Graph Neural Networks Beyond Compromise Between Attribute and Topology.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

OPEN: Orthogonal Propagation with Ego-Network Modeling.

[BibT_eX]

[DOI]

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

Difference Residual Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Graph-CAT: Graph Co-Attention Networks via local and global attribute augmentations.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2021

Toward Identifying Key Gene Group in the Occurrence and Development of Lung Adenocarcinoma.

[BibT_eX]

[DOI]

IEEE Access, 2021

Heterogeneous Graph Neural Network via Attribute Completion.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Diverse Message Passing for Attribute with Heterophily.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Heterogeneous Graph Information Bottleneck.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Bi-GCN: Binary Graph Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Why Do Attributes Propagate in Graph Convolutional Neural Networks?

[BibT_eX]

[DOI]

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

2020

Text Co-Detection in Multi-View Scene.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

Graph Attention Topic Modeling Network.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Discrete Resource Allocation in Epidemic Control with Heuristic Majority-Voting Particle Swarm Optimization.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Adversarial Mutual Information Learning for Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

JANE: Jointly Adversarial Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Toward Unsupervised Graph Neural Network: Interactive Clustering and Embedding via Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Low illumination person re-identification.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2019

A Novel Generative Topic Embedding Model by Introducing Network Communities.

[BibT_eX]

[DOI]

Françoise Fogelman-Soulié

Yuxiao Huang

Proceedings of the World Wide Web Conference, 2019

Viewpoint-robust Person Re-identification via Deep Residual Equivariant Mapping and Fine-grained Features.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Masked Graph Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Topology Optimization based Graph Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Dual Self-Paced Graph Convolutional Network: Towards Reducing Attribute Distortions Induced by Topology.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adversarial Capsule Learning for Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Orderly Subspace Clustering.

[BibT_eX]

[DOI]

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

2018

Semi-Supervised Cross-View Projection-Based Dictionary Learning for Video-Based Person Re-Identification.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2018

Human parsing by weak structural label.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2018

Incorporating network structure with node contents for community detection on large networks using deep learning.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Integrative Network Embedding via Deep Joint Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Hybrid 2D and 3D Convolution Based Recurrent Network for Video-Based Person Re-identification.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Multi-Facet Network Embedding: Beyond the General Solution of Detection and Representation.

[BibT_eX]

[DOI]

Liang Yang

Yuanfang Guo

Xiaochun Cao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Multiple Semantic Matching on Augmented N-Partite Graph for Object Co-Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

Multi-Component Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Total Variation Regularized RPCA for Irregularly Moving Object Detection Under Dynamic Background.

[BibT_eX]

[DOI]

Xiaochun Cao

Liang Yang

Xiaojie Guo

IEEE Trans. Cybern., 2016

A fast space-saving algorithm for maximal co-location pattern mining.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2016

Modularity Based Community Detection with Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Semantic Community Identification in Large Attribute Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

A Unified Semi-Supervised Community Detection Framework Using Latent Space Graph Regularization.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2015

Deep People Counting in Extremely Dense Crowds.

[BibT_eX]

[DOI]

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

An Approach for Mitigating Potential Threats in Practical SSO Systems.

[BibT_eX]

[DOI]

Proceedings of the Information Security and Cryptology - 11th International Conference, 2015

2014

Robust Foreground Detection Using Smoothness and Arbitrariness Constraints.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014, 2014

Liang Yang

Timeline

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