| Predicting honors student performance using RBFNN and PCA method M Xu, Y Liang, W Wu Database Systems for Advanced Applications: DASFAA 2017 International …, 2017 | 13 | 2017 |
| CLGT: A graph transformer for student performance prediction in collaborative learning T Peng, Y Liang, W Wu, J Ren, Z Pengrui, Y Pu Proceedings of the AAAI conference on artificial intelligence 37 (13), 15947 …, 2023 | 10 | 2023 |
| Graphrare: Reinforcement learning enhanced graph neural network with relative entropy T Peng, W Wu, H Yuan, Z Bao, Z Pengru, X Yu, X Lin, Y Liang, Y Pu 2024 IEEE 40th International Conference on Data Engineering (ICDE), 2489-2502, 2024 | 9 | 2024 |
| Online multi-skilled task assignment on road networks Y Liang, W Wu, K Wang, C Hu IEEE Access 7, 57371-57382, 2018 | 6 | 2018 |
| Online Blended Learning in Small Private Online Course Y Han, W Wu, L Zhang, Y Liang Applied Sciences 11 (15), 7100, 2021 | 4 | 2021 |
| A novel intelligent tutoring system for learning programming M Wang, W Wu, Y Liang 2020 International Conference on Development and Application Systems (DAS …, 2020 | 4 | 2020 |
| Peer grading eliciting truthfulness based on autograder Y Han, W Wu, Y Liang, L Zhang IEEE Transactions on Learning Technologies 16 (3), 353-363, 2022 | 3 | 2022 |
| Embedding cognitive framework with self-attention for interpretable knowledge tracing Y Pu, W Wu, T Peng, F Liu, Y Liang, X Yu, R Chen, P Feng Scientific Reports 12 (1), 17536, 2022 | 3 | 2022 |
| Inferring how novice students learn to code: Integrating automated program repair with cognitive model Y Liang, W Wu, L Wu, M Wang Big Data: 7th CCF Conference, BigData 2019, Wuhan, China, September 26–28 …, 2019 | 3 | 2019 |
| CourseKG: An Educational Knowledge Graph Based on Course Information for Precision Teaching Y Li, Y Liang, R Yang, J Qiu, C Zhang, X Zhang Applied Sciences 14 (7), 2710, 2024 | 2 | 2024 |
| FetchEEG: a hybrid approach combining feature extraction and temporal-channel joint attention for EEG-based emotion classification Y Liang, C Zhang, S An, Z Wang, K Shi, T Peng, Y Ma, X Xie, J He, ... Journal of Neural Engineering 21 (3), 036011, 2024 | 1 | 2024 |
| A Fusion Framework for Confusion Analysis in Learning Based on EEG Signals C Zhang, J He, Y Liang, Z Wang, X Xie Applied Sciences 13 (23), 12832, 2023 | 1 | 2023 |
| Intelligent tutoring for large-scale personalized programming learning based on knowledge graph Y Li, J Qiu, R Yang, T Zhu, H Sheng, SJ Gui, Y Liang 2023 IEEE Frontiers in Education Conference (FIE), 1-5, 2023 | 1 | 2023 |
| Milmer: a Framework for Multiple Instance Learning based Multimodal Emotion Recognition Z Wang, J He, Y Liang, X Hu, T Peng, K Wang, J Wang, C Zhang, ... arXiv preprint arXiv:2502.00547, 2025 | | 2025 |
| Deep active learning for multi label text classification Q Wang, H Zhang, W Zhang, L Dai, Y Liang, H Shi Scientific Reports 14 (1), 28246, 2024 | | 2024 |
| A two-stage image enhancement and dynamic feature aggregation framework for gastroscopy image segmentation D He, Y Li, L Chen, Y Liang, Y Xue, X Xiao, Y Li Neurocomputing 601, 128228, 2024 | | 2024 |
| Vision-fused attack: advancing aggressive and stealthy adversarial text against neural machine translation Y Xue, H Hao, J Wang, Q Sheng, R Tao, Y Liang, P Feng, X Liu arXiv preprint arXiv:2409.05021, 2024 | | 2024 |
| A Parallel Open-World Object Detection Framework with Uncertainty Mitigation for Campus Monitoring J Dong, Z Zhang, S He, Y Liang, Y Ma, J Yu, R Zhang, B Li Applied Sciences 13 (23), 12806, 2023 | | 2023 |
| IVAS: An Intelligent Video Analysis System based on Edge Computing H Yang, Z Huang, Y Liang, X Zhang, L Huang, S Qiu 2023 IEEE 48th Conference on Local Computer Networks (LCN), 1-4, 2023 | | 2023 |
| HELP-DKT: an interpretable cognitive model of how students learn programming based on deep knowledge tracing Y Liang, T Peng, Y Pu, W Wu Scientific Reports 12 (1), 4012, 2022 | | 2022 |
Tianhao PengBeihang University, PhD candidateVerified email at buaa.edu.cn