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科研成果 by Type: Conference Paper

2023
Yang K, Xu Y, Zou P, Ding H, Zhao J, Wang Y, Xie B. KerPrint: local-global knowledge graph enhanced diagnosis prediction for retrospective and prospective interpretations, in Proceedings of the AAAI Conference on Artificial Intelligence.Vol 37.; 2023:5357–5365.
Xu Y, Chu X, Yang K, Wang Z, Zou P, Ding H, Zhao J, Wang Y, Xie B. Seqcare: Sequential training with external medical knowledge graph for diagnosis prediction in healthcare data, in Proceedings of the ACM Web Conference 2023.; 2023:2819–2830.
Chu X, Jin Y, Wang X, Zhang S, Wang Y, Zhu W, Mei H. Wasserstein barycenter matching for graph size generalization of message passing neural networks, in International Conference on Machine Learning. PMLR; 2023:6158–6184.
2022
Chu X, Jin Y, Zhu W, Wang Y, Wang X, Zhang S, Mei H. Dna: Domain generalization with diversified neural averaging, in International conference on machine learning. PMLR; 2022:4010–4034.
Zhang C, Chu X, Ma L, Zhu Y, Wang Y, Wang J, Zhao J. M3care: Learning with missing modalities in multimodal healthcare data, in Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.; 2022:2418–2428.
2021
Zhang C, Gao X, Ma L, Wang Y, Wang J, Tang W. GRASP: generic framework for health status representation learning based on incorporating knowledge from similar patients, in Proceedings of the AAAI conference on artificial intelligence.Vol 35.; 2021:715–723.
Feng Y, Wang J, Wang Y, Helal S. Completing missing prevalence rates for multiple chronic diseases by jointly leveraging both intra-and inter-disease population health data correlations, in Proceedings of the Web Conference 2021.; 2021:183–193.
Ma L, Ma X, Gao J, Jiao X, Yu Z, Zhang C, Ruan W, Wang Y, Tang W, Wang J. Distilling knowledge from publicly available online EMR data to emerging epidemic for prognosis, in Proceedings of the Web Conference 2021.; 2021:3558–3568.
2020
Gao J, Xiao C, Wang Y, Tang W, Glass LM, Sun J. Stagenet: Stage-aware neural networks for health risk prediction, in Proceedings of The Web Conference 2020.; 2020:530–540.
He Y, Chu X, Wang Y. Neighbor profile: Bagging nearest neighbors for unsupervised time series mining, in 2020 IEEE 36th International Conference on Data Engineering (ICDE). IEEE; 2020:373–384.
Chu X, Lin Y, Wang Y, Wang X, Yu H, Gao X, Tong Q. Distance metric learning with joint representation diversification, in International Conference on Machine Learning. PMLR; 2020:1962–1973.
Gao J, Lin Y, Wang Y, Wang X, Yang Z, He Y, Chu X. Set-sequence-graph: A multi-view approach towards exploiting reviews for recommendation, in Proceedings of the 29th ACM International Conference on Information & Knowledge Management.; 2020:395–404.
Yang K, Liu S, Zhao J, Wang Y, Xie B. COTSAE: co-training of structure and attribute embeddings for entity alignment, in Proceedings of the AAAI Conference on Artificial Intelligence.Vol 34.; 2020:3025–3032.
Ma L, Gao J, Wang Y, Zhang C, Wang J, Ruan W, Tang W, Gao X, Ma X. Adacare: Explainable clinical health status representation learning via scale-adaptive feature extraction and recalibration, in Proceedings of the AAAI Conference on Artificial Intelligence.Vol 34.; 2020:825–832.
Ma L, Zhang C, Wang Y, Ruan W, Wang J, Tang W, Ma X, Gao X, Gao J. Concare: Personalized clinical feature embedding via capturing the healthcare context, in Proceedings of the AAAI Conference on Artificial Intelligence.Vol 34.; 2020:833–840.