| Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning H Dong*, Z Ning* (equal contribution), P Wang, Z Qiao, P Wang, Y Zhou, ... 2023 International Joint Conference on Artificial Intelligence (IJCAI), 2023 | 12 | 2023 |
| Needed: Introducing hierarchical transformer to eye diseases diagnosis X Ye, M Xiao, Z Ning, W Dai, W Cui, Y Du, Y Zhou Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 10 | 2023 |
| Graph soft-contrastive learning via neighborhood ranking Z Ning, P Wang, P Wang, Z Qiao, W Fan, D Zhang, Y Du, Y Zhou arXiv preprint arXiv:2209.13964, 2022 | 9 | 2022 |
| Rpt: toward transferable model on heterogeneous researcher data via pre-training Z Qiao, Y Fu, P Wang, M Xiao, Z Ning, D Zhang, Y Du, Y Zhou IEEE Transactions on Big Data 9 (1), 186-199, 2022 | 9 | 2022 |
| Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion (Student Abstract) Z Qiao, Z Ning, Y Du, Y Zhou Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15871 …, 2021 | 9* | 2021 |
| LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding Z Ning, Z Qiao, H Dong, Y Du, Y Zhou PAKDD 2021, 2021 | 9 | 2021 |
| Temporal inductive path neural network for temporal knowledge graph reasoning H Dong, P Wang, M Xiao, Z Ning, P Wang, Y Zhou Artificial Intelligence 329, 104085, 2024 | 8 | 2024 |
| Resolving the imbalance issue in hierarchical disciplinary topic inference via llm-based data augmentation X Cai, M Xiao, Z Ning, Y Zhou 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 1424-1429, 2023 | 8 | 2023 |
| A dual-channel semi-supervised learning framework on graphs via knowledge transfer and meta-learning Z Qiao, P Wang, P Wang, Z Ning, Y Fu, Y Du, Y Zhou, J Huang, XS Hua, ... ACM Transactions on the Web 18 (2), 1-26, 2024 | 5 | 2024 |
| Interdisciplinary fairness in imbalanced research proposal topic inference: A hierarchical transformer-based method with selective interpolation M Xiao, M Wu, Z Qiao, Y Fu, Z Ning, Y Du, Y Zhou ACM Transactions on Knowledge Discovery from Data, 2023 | 5* | 2023 |
| FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization Z Ning, C Tian, M Xiao, W Fan, P Wang, L Li, P Wang, Y Zhou arXiv preprint arXiv:2405.06312, 2024 | 3 | 2024 |
| 基于多标签分类的科技文献学科交叉研究性质识别 王卫军， 宁致远， 杜一， 周园春 数据分析与知识发现 7 (1), 102-112, 2023 | 2 | 2023 |
| Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting W Fan, K Yi, H Ye, Z Ning, Q Zhang, N An arXiv preprint arXiv:2407.00502, 2024 | 1 | 2024 |
| Towards Graph Prompt Learning: A Survey and Beyond Q Long, Y Yan, P Zhang, C Fang, W Cui, Z Ning, M Xiao, N Cao, X Luo, ... arXiv preprint arXiv:2408.14520, 2024 | | 2024 |
| Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy X Huang, D Wang, Z Ning, Z Qiao, Q Long, H Zhu, M Wu, Y Zhou, M Xiao arXiv preprint arXiv:2406.07404, 2024 | | 2024 |
| scCDCG: Efficient Deep Structural Clustering for single-cell RNA-seq via Deep Cut-informed Graph Embedding P Xu*, Z Ning* (equal contribution), M Xiao, G Feng, X Li, Y Zhou, P Wang arXiv preprint arXiv:2404.06167, 2024 | | 2024 |
| 基于语义相似关系的学科交叉主题识别方法 王卫军， 宁致远， 董昊， 乔子越， 杜一， 周园春 情报学报 43 (1), 34-47, 2024 | | 2024 |
