| 2026 | AAAI | ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs. | Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yujie Sun, Zheng Liang, Yibing Zhan, Dapeng Tao |
| 2026 | AIED | Do Instructional Behaviors Generalize Across Disciplines? an Empirical Study with Fine-Tuned Multimodal LLMs. | Cunling Bian, Saisai Ye, Weigang Lu |
| 2026 | DASFAA | Collaborative Pattern Mining in Activity Graphs. | Beilei Ling, Ziyu Guan, Wei Zhao, Yiheng Lu, Meng Yan, Cai Xu, Weigang Lu, Beizeng Ling |
| 2026 | WWW | MessageShift: Fine-Grained Data Augmentation for Graph Neural Networks. | Weigang Lu, Zheng Liang, Yaming Yang, Ziyu Zheng, Meng Yan, Beilei Ling, Ziyu Guan, Wei Zhao |
| 2026 | WWW | Aligning Multiple Knowledge Graphs in A Single Pass. | Yaming Yang, Zhe Wang, Ziyu Guan, Wei Zhao, Weigang Lu, Xinyan Huang, Jiangtao Cui, Xiaofei He |
| 2026 | WWW | Beyond Single-Granularity Prompts: A Multi-Scale Chain-of-Thought Prompt Learning for Graph. | Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Xinyan Huang, Weigang Lu |
| 2025 | AAAI | AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification. | Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yibing Zhan, Yiheng Lu, Dapeng Tao |
| 2025 | AIED | Large Language Models for Zero-Shot Exercise Recommendation in Adaptive Learning. | Tengju Li, Cunling Bian, Kaiquan Chen, Weigang Lu |
| 2025 | ICDE | SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks (Extended Abstract). | Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao |
| 2025 | ICDE | A Translation-Based Heterogeneous Graph Neural Network for Multiple Knowledge Graphs Alignment. | Yaming Yang, Zhuofeng Luo, Zhe Wang, Weigang Lu, Yiheng Lu, Ziyu Guan, Wei Zhao, Yuanhai Lv |
| 2025 | KDD | Discrepancy-Aware Graph Mask Auto-Encoder. | Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Weigang Lu |
| 2025 | KDD | Enhancing Homophily-Heterophily Separation: Relation-Aware Learning in Heterogeneous Graphs. | Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Weigang Lu |
| 2024 | AAAI | NodeMixup: Tackling Under-Reaching for Graph Neural Networks. | Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Long Jin |
| 2024 | AIED | Modeling Learner Memory Based on LSTM Autoencoder and Collaborative Filtering. | Tengju Li, Cunling Bian, Ning Wang, Yangbin Xie, Kaiquan Chen, Weigang Lu |
| 2024 | KDD | AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation. | Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang |
| 2023 | AIED | A Personalized Learning Path Recommendation Method for Learning Objects with Diverse Coverage Levels. | Tengju Li, Xu Wang, Shugang Zhang, Fei Yang, Weigang Lu |
| 2018 | ICCE | Inferring Academic Emotion in Online Learning based on Spontaneous Facial Expression. | Cunling Bian, Deliang Wang, Ya Zhang, Weigang Lu |
| 2016 | ICCE | An Improved Genetic Algorithm Approach for Optimal Learner Group Formation in Collaborative Learning Contexts. | Ya-Qian Zheng, Jia-Zhi Du, Hai-Bo Yu, Weigang Lu, Chun-Rong Li |
| 2011 | ICNC | Hydraulic performance analysis and model test of a sump shared by two pumps in a column. | Weigang Lu, Honggeng Zhu, Rentian Zhang, Linbi Yao |