| Gbk-gnn: Gated bi-kernel graph neural networks for modeling both homophily and heterophily L Du, X Shi, Q Fu, X Ma, H Liu, S Han, D Zhang Proceedings of the ACM Web Conference 2022, 1550-1558, 2022 | 75 | 2022 |
| Gpt4graph: Can large language models understand graph structured data? an empirical evaluation and benchmarking J Guo, L Du, H Liu arXiv preprint arXiv:2305.15066, 2023 | 59 | 2023 |
| A review of knowledge tracking LIU Heng-yu, Z Tian-cheng, WU Pei-wen, YU Ge 华东师范大学学报 (自然科学版), 1-15, 2019 | 18 | 2019 |
| ELM-based convolutional neural networks making move prediction in Go X Zhao, Z Ma, B Li, Z Zhang, H Liu Soft Computing 22 (11), 3591-3601, 2018 | 17 | 2018 |
| Tracking knowledge structures and proficiencies of students with learning transfer H Liu, T Zhang, F Li, Y Gu, G Yu IEEE Access 9, 55413-55421, 2020 | 11 | 2020 |
| ContextKT: a context-based method for knowledge tracing M Yu, F Li, H Liu, T Zhang, G Yu Applied Sciences 12 (17), 8822, 2022 | 7 | 2022 |
| Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations H Chen, H Liu, L Cao, T Zhang arXiv preprint arXiv:2309.15499, 2023 | 3 | 2023 |
| Leveraging llms for kpis retrieval from hybrid long-document: A comprehensive framework and dataset C Yue, X Xu, X Ma, L Du, H Liu, Z Ding, Y Jiang, S Han, D Zhang arXiv preprint arXiv:2305.16344, 2023 | 3 | 2023 |
| A probabilistic generative model for tracking multi-knowledge concept mastery probability H Liu, T Zhang, F Li, M Yu, G Yu Frontiers of Computer Science 18 (3), 183602, 2024 | 2 | 2024 |
| Learning rate perturbation: a generic plugin of learning rate schedule towards flatter local minima H Liu, Q Fu, L Du, T Zhang, G Yu, S Han, D Zhang Proceedings of the 31st ACM International Conference on Information …, 2022 | 2 | 2022 |
| Htgn-btw: Heterogeneous temporal graph network with bi-time-window training strategy for temporal link prediction C Yue, L Du, Q Fu, W Bi, H Liu, Y Gu, D Yao arXiv preprint arXiv:2202.12713, 2022 | 2 | 2022 |
| A subspace constraint based approach for fast hierarchical graph embedding M Yu, X Chen, X Gu, H Liu, L Du World Wide Web 26 (5), 3691-3705, 2023 | 1 | 2023 |
| Real-Time Driver Fatigue Detection Based on ELM H Liu, T Zhang, H Xie, H Chen, F Li Proceedings of ELM-2015 Volume 2: Theory, Algorithms and Applications (II …, 2016 | 1 | 2016 |
| FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification H Chen, H Liu, Z Wu, X Fan, L Cao arXiv preprint arXiv:2404.15657, 2024 | | 2024 |
| Parallel Prediction Method of Knowledge Proficiency Based on Bloom’s Cognitive Theory T Zhang, H Mao, H Liu, Y Liu, M Yu, W Wu, G Yu, B Wei, Y Guan Mathematics 11 (24), 5002, 2023 | | 2023 |
| Enhancing Dropout Prediction in Distributed Educational Data Using Learning Pattern Awareness: A Federated Learning Approach T Zhang, H Liu, J Tao, Y Wang, M Yu, H Chen, G Yu Mathematics 11 (24), 4977, 2023 | | 2023 |
| A sampling method based on forecasting and combinatorial optimization for high performance A/B testing F Li, T Zhang, S Cui, H Liu, Z Ren, D Di, X Wang, P Zhang, G Yu Frontiers of Computer Science 17 (6), 176616, 2023 | | 2023 |
| Event-Based Probabilistic Embedding for POI Recommendation T Zhang, H Liu, X Geng, G Yu Applied Sciences 13 (3), 1236, 2023 | | 2023 |
| An ELM-Based Ensemble Strategy for POI Recommendation X He, T Zhang, H Liu, G Yu Proceedings of ELM 2018 9, 292-302, 2020 | | 2020 |
Lun Du (杜 仑)Senior Researcher, Microsoft ResearchVerified email at microsoft.com
