Liang Yang
86 papers · 2016–2026 · 14 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 9 separate collaboration groups - the largest holds only 45% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Liang Yang?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Chuan Wang, Xiaochun Cao, Yuanfang Guo
30 papers
· 2016–2026
· IJCAI, AAAI, NeurIPS
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Source-Free Graph Foundation Model Adaptation via Pseudo-Source Reconstruction
AAAI 2026
Attribute Association Driven Multi-Task Learning for Session-based Recommendation
IJCAI 2025
DUALFormer: Dual Graph Transformer
ICLR 2025
Disentangled Graph Spectral Domain Adaptation
ICML 2025
Do We Really Need Message Passing in Brain Network Modeling?
ICML 2025
Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology
AAAI 2025
Semi-Supervised Clustering Framework for Fine-grained Scene Graph Generation
AAAI 2025
Universal Graph Self-Contrastive Learning
IJCAI 2025
Improving Graph Contrastive Learning via Adaptive Positive Sampling
CVPR 2024
Understanding Heterophily for Graph Neural Networks
ICML 2024
Unified Graph Augmentations for Generalized Contrastive Learning on Graphs
NeurIPS 2024
Deepfake Video Detection via Facial Action Dependencies Estimation
AAAI 2023
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity
IJCAI 2023
Self-supervised Graph Neural Networks via Low-Rank Decomposition
NeurIPS 2023
OPEN: Orthogonal Propagation with Ego-Network Modeling
NeurIPS 2022
Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing
AAAI 2022
Bi-GCN: Binary Graph Convolutional Network
CVPR 2021
Diverse Message Passing for Attribute with Heterophily
NeurIPS 2021
Heterogeneous Graph Information Bottleneck
IJCAI 2021
Why Do Attributes Propagate in Graph Convolutional Neural Networks?
AAAI 2021
Adversarial Mutual Information Learning for Network Embedding
IJCAI 2020
JANE: Jointly Adversarial Network Embedding
IJCAI 2020
Dual Self-Paced Graph Convolutional Network: Towards Reducing Attribute Distortions Induced by Topology
IJCAI 2019
Masked Graph Convolutional Network
IJCAI 2019
Orderly Subspace Clustering
AAAI 2019
Topology Optimization based Graph Convolutional Network
IJCAI 2019
3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces
IJCAI 2018
Integrative Network Embedding via Deep Joint Reconstruction
IJCAI 2018
Multi-Component Nonnegative Matrix Factorization
IJCAI 2017
Modularity Based Community Detection with Deep Learning
IJCAI 2016
5 papers whose co-authors appear nowhere else under this name
DUTIR at SemEval-2026 Task 4: Narrative Story Similarity and Narrative Representation Learning
SemEval 2026
DUTIR at SemEval-2026 Task 8: A Hybrid Retrieval and Faithfulness-Guarded Framework for Multi-Turn RAG
SemEval 2026
XiaoM at SemEval-2026 Task 7: A Qwen-based System for Accurate Retrieval of Everyday Knowledge Across Diverse Languages and Cultures
SemEval 2026
Learning from Weak-Label Data: A Deep Forest Expedition
AAAI 2020
A Refined Margin Distribution Analysis for Forest Representation Learning
NeurIPS 2019