Ma X, Chu X, Wang Y, Lin Y, Zhao J, Ma L, Zhu W. Fused gromov-wasserstein graph mixup for graph-level classifications. Advances in Neural Information Processing Systems. 2024;36.

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.

Ma L, Zhang C, Gao J, Jiao X, Yu Z, Zhu Y, Wang T, Ma X, Wang Y, Tang W, et al. Mortality prediction with adaptive feature importance recalibration for peritoneal dialysis patients. Patterns. 2023;4.

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.

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.

Jin Y, Chu X, Wang Y, Zhu W. Domain generalization through the lens of angular invariance. arXiv preprint arXiv:2210.15836. 2022.

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.

Ma X, Wang Y, Chu X, Ma L, Tang W, Zhao J, Yuan Y, Wang G. Patient health representation learning via correlational sparse prior of medical features. IEEE Transactions on Knowledge and Data Engineering. 2022;35:11769–11783.

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.

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.

Wu J, Ma J, Wang Y, Wang J. Understanding and predicting the burst of burnout via social media. Proceedings of the ACM on Human-Computer Interaction. 2021;4:1–27.

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.

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.

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.

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.

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.

Wang J, Ma J, Wang Y, Wang N, Wang L, Zhang D, Wang F, Lv Q. Will online digital footprints reveal your relationship status? an empirical study of social applications for sexual-minority men. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 2020;4:1–23.

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.