Integrative Analysis of Patient Health Records and Neuroimages via Memory-Based Graph Convolutional Network. - Xi Zhang; Jingyuan Chou; Fei Wang 001 (ICDM, 2018)

Integrative Analysis of Patient Health Records and Neuroimages via Memory-based GraphConvolutional Network. - Xi Zhang 005; Jingyuan Chou; Fei Wang 024 (CoRR, 2018)

Identification of Predictive Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks. - Zhenxing Xu; Jingyuan Chou; Xi Sheryl Zhang; Yuan Luo 001; Tamara Isakova; Prakash Adekkanattu; Jessica S. Ancker; Guoqian Jiang; Richard C. Kiefer; Jennifer A. Pacheco; Luke V. Rasmussen; Jyotishman Pathak; et al. (CoRR, 2019)

Analysis of Meta-Learning Approaches for TCGA Pan-cancer Datasets. - Jingyuan Chou; Stefan Bekiranov; Chongzhi Zang; Mengdi Huai; Aidong Zhang (BIBM, 2020)

Global Interpretation for Patient Similarity Learning. - Mengdi Huai; Chenglin Miao; Jinduo Liu 001; Di Wang 015; Jingyuan Chou; Aidong Zhang (BIBM, 2020)

TAdaNet: Task-Adaptive Network for Graph-Enriched Meta-Learning. - Qiuling Suo; Jingyuan Chou; Weida Zhong; Aidong Zhang (KDD, 2020)

Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networks. - Zhenxing Xu; Jingyuan Chou; Xi Sheryl Zhang; Yuan Luo 001; Tamara Isakova; Prakash Adekkanattu; Jessica S. Ancker; Guoqian Jiang; Richard C. Kiefer; Jennifer A. Pacheco; Luke V. Rasmussen; Jyotishman Pathak; et al. (J. Biomed. Informatics, 2020)

Estimate Causal Effects of Entangled Treatment on Graphs using Disentangled Instrumental Variables. - Jingyuan Chou; Jiangzhuo Chen; Madhav V. Marathe (IEEE Big Data, 2024)

State-Of-The-Art and Challenges in Causal Inference on Graphs: Confounders and Interferences. - Jingyuan Chou; Jiangzhuo Chen; Madhav V. Marathe (CogMI, 2024)