Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2025

Data Usage Privacy Auditing for Semi-supervised GNNs.

[BibT_eX]

[DOI]

Yang Li

Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2025

Inference-time Alignment in Continuous Space.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

MIGE: Mutually Enhanced Multimodal Instruction-Based Image Generation and Editing.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

The 1st Workshop on LLM Agents for Social Simulation.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

From Outcomes to Processes: Guiding PRM Learning from ORM for Inference-Time Alignment.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Identity-Preserving Adversarial Training for Robust Network Embedding.

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., March, 2024

Towards generalizable Graph Contrastive Learning: An information theory perspective.

[BibT_eX]

[DOI]

Neural Networks, 2024

IDEA: Invariant defense for graph adversarial robustness.

[BibT_eX]

[DOI]

Inf. Sci., 2024

Fact-Level Confidence Calibration and Self-Correction.

[BibT_eX]

[DOI]

CoRR, 2024

MITA: Bridging the Gap between Model and Data for Test-time Adaptation.

[BibT_eX]

[DOI]

CoRR, 2024

Graph Domain Adaptation: Challenges, Progress and Prospects.

[BibT_eX]

[DOI]

CoRR, 2024

Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

SACH: Significant-Attributed Community Search in Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

History Driven Sampling for Scalable Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2024

TEA: Test-Time Energy Adaptation.

[BibT_eX]

[DOI]

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

PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion.

[BibT_eX]

[DOI]

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

2023

Significant-attributed Community Search in Heterogeneous Information Networks.

[BibT_eX]

[DOI]

CoRR, 2023

IDEA: Invariant Causal Defense for Graph Adversarial Robustness.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Deeper Graph Neural Networks via Layer-Adaptive.

[BibT_eX]

[DOI]

Bingbing Xu

Bin Xie

Huawei Shen

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Simple Multi-view Can Bring Powerful Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

MIDLG: Mutual Information based Dual Level GNN for Transaction Fraud Complaint Verification.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

DCGNN: Dual-Channel Graph Neural Network for Social Bot Detection.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Location-aware convolutional neural networks for graph classification.

[BibT_eX]

[DOI]

Neural Networks, 2022

Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network.

[BibT_eX]

[DOI]

CoRR, 2022

DyTed: Disentangling Temporal Invariance and Fluctuations in Dynamic Graph Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Twin Weisfeiler-Lehman: High Expressive GNNs for Graph Classification.

[BibT_eX]

[DOI]

CoRR, 2022

Towards Efficient and Expressive GNNs for Graph Classification via Subgraph-Aware Weisfeiler-Lehman.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 2022

Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Coordinate Mapping Method of Crowdsourced Data for Indoor Fingerprint Localization.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Indoor Positioning and Indoor Navigation, 2022

Towards Powerful Graph Contrastive Learning without Negative Examples.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field.

[BibT_eX]

[DOI]

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

2020

Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019

User Profiling for CSDN: Keyphrase Extraction, User Tagging and User Growth Value Prediction: First-place Entry for User Profiling Technology Evaluation Campaign in SMP Cup 2017.

[BibT_eX]

[DOI]

Data Intell., 2019

A Graph Auto-Encoder for Attributed Network Embedding.

[BibT_eX]