Effective Few-Shot Named Entity Linking by Meta-Learning
Published in ICDE, CCF A, 2021
Entity Linking
Publications
Scalable Rule-Based Representation Learning for Interpretable Classification
Published in NeuIPS, CCF A, 2021
Interpretable machine learning
Recommended citation: Wang Z, Zhang W, Liu N, et al. Scalable Rule-Based Representation Learning for Interpretable Classification[C]//Thirty-Fifth Conference on Neural Information Processing Systems. 2021. https://arxiv.org/abs/2109.15103
Susceptible Temporal Patterns Discovery for Electronic Health Records via Adversarial Attack
Published in DASFAA, CCF B, 2021
Adversial Attack for EHRs
Recommended citation: 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. https://www.springerprofessional.de/en/susceptible-temporal-patterns-discovery-for-electronic-health-re/19040914
Prognostic significance of systemic immune-inflammation index-based nomogram for early stage hepatocellular carcinoma after radiofrequency ablation
Published in J Gastrointest Oncol. SCI, 2021
Risk prediction using nomogram
Recommended citation: 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. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8107607/
Coupled Graph Neural Networks for Text-oriented Clinical Diagnosis Inference
Published in DASFAA, CCF B, 2020
Graph Networks for diagnosis inference
Recommended citation: Liu N., Zhang W., Li X., Yuan H., Wang J. (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 https://link.springer.com/chapter/10.1007/978-3-030-59410-7_26
MTHAM:Multitask Disease Progression Modeling Based on Hierarchical Attention Mechanism
Published in NDBC20, 2020
Deep Learning for Alzheimer’s disease
Recommended citation: 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. http://www.jsjkx.com/CN/article/openArticlePDF.jsp?id=19362
Transparent classification with multilayer logical perceptrons and random binarization
Published in AAAI, CCF A, 2020
Interpretable machine learning
Recommended citation: Wang, Z., Zhang, W., Ning, L.I.U. and Wang, J., 2020, April. 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). https://arxiv.org/abs/1912.04695
Knowledge-Aware Deep Dual Networks for Text-Based Mortality Prediction
Published in ICDE, CCF A, 2019
Deep Learning for Mortality prediction
Recommended citation: N. Liu, P. Lu, W. Zhang and J. 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. https://ieeexplore.ieee.org/document/8731459