| 2026 | AAAI | DuoKD: Dual Knowledge Distillation from Large Language Models for Robust Graph Neural Networks. | Cuiying Huo, Xiaotong Huang, Dongxiao He, Yixuan Du, Wenhuan Lu, Di Jin |
| 2026 | WWW | IVQ-GNN: Mitigating Performance Gap from Graph Connection Pattern Inconsistency via Vector Quantization. | Di Jin, Yixuan Du, Cuiying Huo, Xiaotong Huang, Ruqiong Zhang, Xiaobao Wang, Yawen Li |
| 2025 | AAAI | Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation. | Songyuan Lei, Xinglong Chang, Zhizhi Yu, Dongxiao He, Cuiying Huo, Jianrong Wang, Di Jin |
| 2025 | WWW | LLGformer: Learnable Long-range Graph Transformer for Traffic Flow Prediction. | Di Jin, Cuiying Huo, Jiayi Shi, Dongxiao He, Jianguo Wei, Philip S. Yu |
| 2024 | AAAI | A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning. | Dongxiao He, Jitao Zhao, Cuiying Huo, Yongqi Huang, Yuxiao Huang, Zhiyong Feng |
| 2024 | IJCAI | Graph Collaborative Expert Finding with Contrastive Learning. | Qiyao Peng, Wenjun Wang, Hongtao Liu, Cuiying Huo, Minglai Shao |
| 2023 | AAAI | T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation. | Cuiying Huo, Di Jin, Yawen Li, Dongxiao He, Yu-Bin Yang, Lingfei Wu |
| 2023 | KSEM | Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models. | Di Jin, Zhiqiang Wang, Cuiying Huo, Zhizhi Yu, Dongxiao He, Yuxiao Huang |
| 2023 | WWW | KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks. | Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu |
| 2021 | WWW | Heterogeneous Graph Neural Network via Attribute Completion. | Di Jin, Cuiying Huo, Chundong Liang, Liang Yang |