Defense against DNS Man-In-The-Middle Spoofing. - Xiaolong Bai; Liang Hu 001; Zixing Song; Feiyan Chen; Kuo Zhao (WISM (1), 2011)

MAC: Measuring the Impacts of Anomalies on Travel Time of Multiple Transportation Systems. - Zhihan Fang; Yu Yang 010; Shuai Wang 008; Boyang Fu; Zixing Song; Fan Zhang 019; Desheng Zhang (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

Semi-supervised Multi-label Learning for Graph-structured Data. - Zixing Song; Ziqiao Meng; Yifei Zhang; Irwin King (CIKM, 2021)

Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization. - Zixing Song; Irwin King (AAAI, 2022)

Towards an Optimal Asymmetric Graph Structure for Robust Semi-supervised Node Classification. - Zixing Song; Yifei Zhang; Irwin King (KDD, 2022)

COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning. - Yifei Zhang; Hao Zhu 010; Zixing Song; Piotr Koniusz; Irwin King (KDD, 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)

ConcreteGraph: A Data Augmentation Method Leveraging the Properties of Concept Relatedness Estimation. - Yueen Ma 001; Zixing Song; Chirui Chang; Yue Yu; Irwin King (CoRR, 2022)

Graph Component Contrastive Learning for Concept Relatedness Estimation. - Yueen Ma 001; Zixing Song; Xuming Hu; Jingjing Li 007; Yifei Zhang; Irwin King (AAAI, 2023)

Spectral Feature Augmentation for Graph Contrastive Learning and Beyond. - Yifei Zhang; Hao Zhu 010; Zixing Song; Piotr Koniusz; Irwin King (AAAI, 2023)

Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks. - Zixing Song; Yuji Zhang 002; Irwin King (CIKM, 2023)

Contrastive Cross-scale Graph Knowledge Synergy. - Yifei Zhang; Yankai Chen 001; Zixing Song; Irwin King (KDD, 2023)

Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily. - Langzhang Liang; Xiangjing Hu; Zenglin Xu; Zixing Song; Irwin King (NeurIPS, 2023)

No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning. - Zixing Song; Yifei Zhang; Irwin King (NeurIPS, 2023)

Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning. - Zixing Song; Yifei Zhang; Irwin King (NeurIPS, 2023)

Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective. - Yifei Zhang; Hao Zhu 010; Yankai Chen 001; Zixing Song; Piotr Koniusz; Irwin King (NeurIPS, 2023)

WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. - Yankai Chen 001; Yifei Zhang; Menglin Yang 001; Zixing Song; Chen Ma 001; Irwin King (SIGIR, 2023)

A Survey on Deep Semi-Supervised Learning. - Xiangli Yang; Zixing Song; Irwin King; Zenglin Xu (IEEE Trans. Knowl. Data Eng., 2023)

Graph-Based Semi-Supervised Learning: A Comprehensive Review. - Zixing Song; Xiangli Yang; Zenglin Xu; Irwin King (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Diffusion-Based Pre-training Framework for Crystal Property Prediction. - Zixing Song; Ziqiao Meng; Irwin King (AAAI, 2024)

Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations. - Ziqiao Meng; Liang Zeng 002; Zixing Song; Tingyang Xu; Peilin Zhao; Irwin King (IJCAI, 2024)

A Systematic Survey on Federated Semi-supervised Learning. - Zixing Song; Xiangli Yang; Yifei Zhang; Xinyu Fu 004; Zenglin Xu; Irwin King (IJCAI, 2024)

Geometric View of Soft Decorrelation in Self-Supervised Learning. - Yifei Zhang; Hao Zhu 010; Zixing Song; Yankai Chen 001; Xinyu Fu 004; Ziqiao Meng; Piotr Koniusz; Irwin King (KDD, 2024)

A Survey on Vision-Language-Action Models for Embodied AI. - Yueen Ma 001; Zixing Song; Yuzheng Zhuang; Jianye Hao; Irwin King (CoRR, 2024)

Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization. - Langzhang Liang; Zenglin Xu; Zixing Song; Irwin King; Yuan Qi 001; Jieping Ye (IEEE Trans. Knowl. Data Eng., 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 (AAAI, 2025)

FedEDM: Federated Equivariant Diffusion Model for 3D Molecule Generation with Enhanced Communication Efficiency. - Zixing Song; Irwin King; José Miguel Hernández-Lobato (WWW (Companion Volume), 2025)

Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification. - Langzhang Liang; Fanchen Bu; Zixing Song; Zenglin Xu; Shirui Pan; Kijung Shin (CoRR, 2025)