| 2026 | AAAI | Graph-based Label-Efficient Learning: When Graph-Structured Data Meets Limited Labels. | Zixing Song |
| 2026 | AAAI | MMPG: MoE-based Adaptive Multi-Perspective Graph Fusion for Protein Representation Learning. | Yusong Wang, Jialun Shen, Zhihao Wu, Yicheng Xu, Shiyin Tan, Mingkun Xu, Changshuo Wang, Zixing Song, Prayag Tiwari |
| 2026 | WWW | Semi-supervised Instruction Tuning for Large Language Models on Text-Attributed Graphs. | Zixing Song, Irwin King |
| 2025 | AAAI | 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 |
| 2025 | ICML | Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification. | Langzhang Liang, Fanchen Bu, Zixing Song, Zenglin Xu, Shirui Pan, Kijung Shin |
| 2025 | ICML | Domain-Adapted Diffusion Model for PROTAC Linker Design Through the Lens of Density Ratio in Chemical Space. | Zixing Song, Ziqiao Meng, Jos Miguel Hernndez-Lobato |
| 2025 | KDD | Track and Tweak: Monitoring and Improving Group Fairness for Temporal Graph Neural Networks in Real Time. | Zixing Song, Muzhi Li, Yifei Zhang, Irwin King, Jos Miguel Hernndez-Lobato |
| 2025 | WWW | FedEDM: Federated Equivariant Diffusion Model for 3D Molecule Generation with Enhanced Communication Efficiency. | Zixing Song, Irwin King, Jos Miguel Hernndez-Lobato |
| 2024 | AAAI | A Diffusion-Based Pre-training Framework for Crystal Property Prediction. | Zixing Song, Ziqiao Meng, Irwin King |
| 2024 | IJCAI | 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 |
| 2024 | IJCAI | A Systematic Survey on Federated Semi-supervised Learning. | Zixing Song, Xiangli Yang, Yifei Zhang, Xinyu Fu, Zenglin Xu, Irwin King |
| 2024 | KDD | 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 |
| 2023 | AAAI | Graph Component Contrastive Learning for Concept Relatedness Estimation. | Yueen Ma, Zixing Song, Xuming Hu, Jingjing Li, Yifei Zhang, Irwin King |
| 2023 | AAAI | Spectral Feature Augmentation for Graph Contrastive Learning and Beyond. | Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King |
| 2023 | CIKM | Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks. | Zixing Song, Yuji Zhang, Irwin King |
| 2023 | KDD | Contrastive Cross-scale Graph Knowledge Synergy. | Yifei Zhang, Yankai Chen, Zixing Song, Irwin King |
| 2023 | SIGIR | 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 |
| 2022 | AAAI | Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization. | Zixing Song, Irwin King |
| 2022 | KDD | Towards an Optimal Asymmetric Graph Structure for Robust Semi-supervised Node Classification. | Zixing Song, Yifei Zhang, Irwin King |
| 2022 | KDD | COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning. | Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King |
| 2021 | CIKM | Semi-supervised Multi-label Learning for Graph-structured Data. | Zixing Song, Ziqiao Meng, Yifei Zhang, Irwin King |