Zixing Song

According to our database, Zixing Song authored at least 26 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization.

Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Yuan Qi, Jieping Ye

IEEE Trans. Knowl. Data Eng., May, 2024

Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning.

Muzhi Li, Cehao Yang, Chengjin Xu, Zixing Song, Xuhui Jiang, Jian Guo, Ho-fung Leung, Irwin King

CoRR, 2024

A Survey on Vision-Language-Action Models for Embodied AI.

Yueen Ma, Zixing Song, Yuzheng Zhuang, Jianye Hao, Irwin King

CoRR, 2024

Geometric View of Soft Decorrelation in Self-Supervised Learning.

Yifei Zhang, Hao Zhu, Zixing Song, Yankai Chen, Xinyu Fu, Ziqiao Meng, Piotr Koniusz, Irwin King

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Systematic Survey on Federated Semi-supervised Learning.

Zixing Song, Xiangli Yang, Yifei Zhang, Xinyu Fu, Zenglin Xu, Irwin King

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations.

Ziqiao Meng, Liang Zeng, Zixing Song, Tingyang Xu, Peilin Zhao, Irwin King

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Diffusion-Based Pre-training Framework for Crystal Property Prediction.

Zixing Song, Ziqiao Meng, Irwin King

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

2023

Graph-Based Semi-Supervised Learning: A Comprehensive Review.

Zixing Song, Xiangli Yang, Zenglin Xu, Irwin King

IEEE Trans. Neural Networks Learn. Syst., November, 2023

A Survey on Deep Semi-Supervised Learning.

Xiangli Yang, Zixing Song, Irwin King, Zenglin Xu

IEEE Trans. Knowl. Data Eng., September, 2023

WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering.

Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King

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.

Yifei Zhang, Hao Zhu, Yankai Chen, Zixing Song, Piotr Koniusz, Irwin King

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.

Zixing Song, Yifei Zhang, Irwin King

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.

Zixing Song, Yifei Zhang, Irwin King

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.

Langzhang Liang, Xiangjing Hu, Zenglin Xu, Zixing Song, Irwin King

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.

Yifei Zhang, Yankai Chen, Zixing Song, Irwin King

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.

Zixing Song, Yuji Zhang, Irwin King

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

Spectral Feature Augmentation for Graph Contrastive Learning and Beyond.

Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King

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

Graph Component Contrastive Learning for Concept Relatedness Estimation.

Yueen Ma, Zixing Song, Xuming Hu, Jingjing Li, Yifei Zhang, Irwin King

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

2022

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

Yueen Ma, Zixing Song, Chirui Chang, Yue Yu, Irwin King

CoRR, 2022

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

Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Jieping Ye

CoRR, 2022

COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning.

Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King

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.

Zixing Song, Yifei Zhang, Irwin King

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.

Zixing Song, Irwin King

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

2021

Semi-supervised Multi-label Learning for Graph-structured Data.

Zixing Song, Ziqiao Meng, Yifei Zhang, Irwin King

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.

Zhihan Fang, Yu Yang, Shuai Wang, Boyang Fu, Zixing Song, Fan Zhang, Desheng Zhang

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

2011

Defense against DNS Man-In-The-Middle Spoofing.

Xiaolong Bai, Liang Hu, Zixing Song, Feiyan Chen, Kuo Zhao

Proceedings of the Web Information Systems and Mining - International Conference, 2011