Zixing Song

Orcid: 0000-0002-8871-3990

According to our database1, Zixing Song authored at least 20 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Diffusion-Based Pre-training Framework for Crystal Property Prediction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Graph-Based Semi-Supervised Learning: A Comprehensive Review.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

A Survey on Deep Semi-Supervised Learning.
IEEE Trans. Knowl. Data Eng., September, 2023

WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Contrastive Cross-scale Graph Knowledge Synergy.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Spectral Feature Augmentation for Graph Contrastive Learning and Beyond.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Graph Component Contrastive Learning for Concept Relatedness Estimation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
ConcreteGraph: A Data Augmentation Method Leveraging the Properties of Concept Relatedness Estimation.
CoRR, 2022

ResNorm: Tackling Long-tailed Degree Distribution Issue in Graph Neural Networks via Normalization.
CoRR, 2022

COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Towards an Optimal Asymmetric Graph Structure for Robust Semi-supervised Node Classification.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Semi-supervised Multi-label Learning for Graph-structured Data.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2019
MAC: Measuring the Impacts of Anomalies on Travel Time of Multiple Transportation Systems.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

2011
Defense against DNS Man-In-The-Middle Spoofing.
Proceedings of the Web Information Systems and Mining - International Conference, 2011


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