| 2026 | AAAI | Context-aware Graph Meta-learning. | Ningbo Huang, Gang Zhou, Meng Zhang, Shunhang Li, Ling Wang, Shiyu Wang, Yi Xia |
| 2026 | DASFAA | Task-Aware Text Graph Structure Learning for Semi-Supervised Text Classification. | Shiyu Wang, Gang Zhou, Jicang Lu, Ningbo Huang, Qiankun Pi |
| 2026 | WSDM | Taming Non-Stationary Knowledge Growth: Dynamic Global Memory Framework for Lifelong Knowledge Graph Embedding. | Ling Wang, Yan Liu, Jicang Lu, Xiaoyu Guo, Zhipeng Li, Ningbo Huang |
| 2025 | COLING | Pre-trained Semantic Interaction based Inductive Graph Neural Networks for Text Classification. | Shiyu Wang, Gang Zhou, Jicang Lu, Jing Chen, Ningbo Huang |
| 2025 | DASFAA | Structural Denoising Contrastive Self-supervised Graph Meta-learning. | Ningbo Huang, Gang Zhou, Meng Zhang, Shiyu Wang, Shunhang Li |
| 2023 | CIKM | Topic-Aware Contrastive Learning and K-Nearest Neighbor Mechanism for Stance Detection. | Yepeng Sun, Jicang Lu, Ling Wang, Shunhang Li, Ningbo Huang |
| 2023 | QRS | The Causal Reasoning Ability of Open Large Language Model: A Comprehensive and Exemplary Functional Testing. | Shunhang Li, Gang Zhou, Zhibo Li, Ji-Cang Lu, Ningbo Huang |
| 2021 | ICDM | MC-RGCN: A Multi-Channel Recurrent Graph Convolutional Network to Learn High-Order Social Relations for Diffusion Prediction. | Ningbo Huang, Gang Zhou, Mengli Zhang, Meng Zhang |
| 2017 | ICONIP | Single-Image Super-Resolution for Remote Sensing Data Using Deep Residual-Learning Neural Network. | Ningbo Huang, Yong Yang, Junjie Liu, Xinchao Gu, Hua Cai |