Ning Liu, Pan Lu, Wei Zhang, Jianyong Wang. Knowledge-Aware Deep Dual Networks for Text-Based Mortality Prediction, 2019 IEEE 35th International Conference on Data Engineering (ICDE), 2019, pp. 1406-1417, doi: 10.1109/ICDE.2019.00127.
Zhuo Wang, Wei Zhang, Ning Liu, and Jianyong Wang. (2020). Transparent classification with multilayer logical perceptrons and random binarization. In Proceedings of the AAAI conference on artificial intelligence (Vol. 34, No. 04, pp. 6331-6339).
潘祖江, 刘宁, 张伟 and 王建勇, 基于层次注意力机制的多任务疾病进展模型. 计算机科学, 47(9), pp.185-189.
Ning Liu, Wei Zhang , Xiuxing Li, Haitao Yuyan, Jianyong Wang. (2020) Coupled Graph Convolutional Neural Networks for Text-Oriented Clinical Diagnosis Inference. In: Nah Y., Cui B., Lee SW., Yu J.X., Moon YS., Whang S.E. (eds) Database Systems for Advanced Applications. DASFAA 2020. Lecture Notes in Computer Science, vol 12112. Springer, Cham. https://doi.org/10.1007/978-3-030-59410-7_26
Xin, Y., Yang, Y., Liu, N., Chen, Y., Wang, Y., Zhang, X., Li, X. and Zhou, X., 2021. Prognostic significance of systemic immune-inflammation index-based nomogram for early stage hepatocellular carcinoma after radiofrequency ablation. Journal of Gastrointestinal Oncology, 12(2), p.735.
Zhang, Rui, Wei Zhang, Ning Liu, and Jianyong Wang. Susceptible Temporal Patterns Discovery for Electronic Health Records via Adversarial Attack. In International Conference on Database Systems for Advanced Applications, pp. 429-444. Springer, Cham, 2021.
Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang. Scalable Rule-Based Representation Learning for Interpretable Classification[C]//Thirty-Fifth Conference on Neural Information Processing Systems. 2021.
Fuqiang Yu, Lizhen Cui*, Yiming Cao, Ning Liu*, Weiming Huang, Yonghui Xu. (2022). Similarity-Aware Collaborative Learning for Patient Outcome Prediction. In: Bhattacharya, A., et al. Database Systems for Advanced Applications. DASFAA 2022. Lecture Notes in Computer Science, vol 13246. Springer, Cham. https://doi.org/10.1007/978-3-031-00126-0_31
Yiming Cao, Lizhen Cui, Fuqiang Yu, Lei Zhang, Zhen Li, Ning Liu, and Yonghui Xu. 2022. KdTNet: Medical Image Report Generation via Knowledge-Driven Transformer. In Database Systems for Advanced Applications: 27th International Conference, DASFAA 2022, Virtual Event, April 11–14, 2022, Proceedings, Part III. Springer-Verlag, Berlin, Heidelberg, 117–132. https://doi.org/10.1007/978-3-031-00129-1_8
Xiuxing Li, Zhenyu Li, Zhengyan Zhang, Ning Liu, Haitao Yuan, Wei Zhang, Zhiyuan Liu, Jianyong Wang. "Effective Few-Shot Named Entity Linking by Meta-Learning," 2022 IEEE 38th International Conference on Data Engineering (ICDE), Kuala Lumpur, Malaysia, 2022, pp. 178-191, doi: 10.1109/ICDE53745.2022.00018.
Zhenyu Li, Xiuxing Li, Zhichao Duan, Bowen Dong, Ning Liu, Jianyong Wang. "Toward a Unified Framework for Unsupervised Complex Tabular Reasoning," 2023 IEEE 39th International Conference on Data Engineering (ICDE), Anaheim, CA, USA, 2023, pp. 1691-1704, doi: 10.1109/ICDE55515.2023.00133.
Tong Ding, Ning Liu*, Zhongmin Yan, Lei Liu*, Li-zhen Cui. An Efficient Reinforcement Learning Game Framework for UAV-Enabled Wireless Sensor Network Data Collection. J. Comput. Sci. Technol. 37, 1356–1368 (2022). https://doi.org/10.1007/s11390-022-2419-8.
Xiao Yang, Ning Liu*, Jianbo Qiao, Haitao Yuan, Teng Ma, Yonghui Xu, Lizhen Cui. (2022). Clinical Phenotyping Prediction via Auxiliary Task Selection and Adaptive Shared-Space Correction. In: Fang, L., Povey, D., Zhai, G., Mei, T., Wang, R. (eds) Artificial Intelligence. CICAI 2022. Lecture Notes in Computer Science(), vol 13605. Springer, Cham. https://doi.org/10.1007/978-3-031-20500-2_36
Fuqiang Yu, Lizhen Cui, Yiming Cao, Fanglin Zhu, Yonghui Xu, Ning Liu. "Feature-Guided Logical Perception Network for Health Risk Prediction," 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Las Vegas, NV, USA, 2022, pp. 1787-1790, doi: 10.1109/BIBM55620.2022.9995625.
Kai Zhang, Daokun Zhang, Ning Liu, Yonghua Yang, Yonghui Xu, Zhongmin Yan, Hui Li, Lizhen Cui. (2023). Sample and Feature Enhanced Few-Shot Knowledge Graph Completion. In: Wang, X., et al. Database Systems for Advanced Applications. DASFAA 2023. Lecture Notes in Computer Science, vol 13944. Springer, Cham. https://doi.org/10.1007/978-3-031-30672-3_54.
Caiyan Li, Lizhen Cui, Yonghui Xu, Ning Liu. Logic Event Graph Enhanced Narrative Generation, 2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD), Rio de Janeiro, Brazil, 2023, pp. 181-186, doi: 10.1109/CSCWD57460.2023.10152623.
Ran Zhang#, Ning Liu#, Lei Liu, Wei Zhang, Haitao Yuan, Mianxiong Dong, Lizhen Cui. "Is it fair? Resource allocation for differentiated services on demands," 2022 IEEE International Conference on Web Services (ICWS), Barcelona, Spain, 2022, pp. 355-360, doi: 10.1109/ICWS55610.2022.00059.
Fuqiang Yu, Lizhen Cui, Huanhuan Chen, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu, Hua Lu. "HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion," in IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 10, pp. 6940-6954, Oct. 2023, doi: 10.1109/TNNLS.2022.3202305.
Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang. "Learning Interpretable Rules for Scalable Data Representation and Classification," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 2, pp. 1121-1133, Feb. 2024, doi: 10.1109/TPAMI.2023.3328881.
Tan Zou#, Ning Liu#, Wenfeng Wang, Qinbiao Li, and Lingguo Bu. 2024. Longitudinal assessment of the effects of passive training on stroke rehabilitation using fNIRS technology. Int. J. Hum.-Comput. Stud. 183, C (Mar 2024). https://doi.org/10.1016/j.ijhcs.2023.103202.
Ran Zhang, Ning Liu*, Lei Liu*, Mianxiong Dong, Kaoru Ota, Zhongmin Yan. "Performance Evaluation of Self-Similar GPS Scheduling: A Knowledge-Driven Dual-Task Deep Learning Approach," in IEEE Transactions on Cognitive Communications and Networking, vol. 10, no. 2, pp. 510-525, April 2024, doi: 10.1109/TCCN.2023.3328986.