Xu Chu

发表

MedFACT: Modeling Medical Feature Correlations in Patient Health Representation Learning via Feature Clustering

Yasha Wang, Xinyu Ma, Xu Chu, 2022, arXiv.org.

MedFACT: Modeling Medical Feature Correlations in Patient Health Representation Learning via Feature Clustering

Yasha Wang, Xinyu Ma, Xu Chu, 2022, arXiv.org.

Enhancing Online Epidemic Supervising System by Compartmental and GRU Fusion Model

Jiangtao Wang, Yasha Wang, Xu Chu, 2022, Mobile Information Systems.

Domain Generalization through the Lens of Angular Invariance

Wenwu Zhu, Yasha Wang, Xu Chu, 2022, IJCAI.

Towards Sustainable Compressive Population Health: A GAN-based Year-By-Year Imputation Method

Jiangtao Wang, Yasha Wang, Xu Chu, 2022, ACM Transactions on Computing for Healthcare.

DNA: Domain Generalization with Diversified Neural Averaging

Xin Wang, Shanghang Zhang, Yasha Wang, 2022, ICML.

M3Care: Learning with Missing Modalities in Multimodal Healthcare Data

Jiangtao Wang, Yasha Wang, Xu Chu, 2022, KDD.

MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction

Jiangtao Wang, Xu Chu, Yasha Wang, 2019, IJCAI.

Multi-Label Robust Factorization Autoencoder and its Application in Predicting Drug-Drug Interactions pdf

Jiangtao Wang, Xu Chu, Yang Lin, 2018, ArXiv.

Neighbor Profile: Bagging Nearest Neighbors for Unsupervised Time Series Mining

Xu Chu, Yasha Wang, Yuanduo He, 2020, 2020 IEEE 36th International Conference on Data Engineering (ICDE).

Towards Sustainable Compressive Population Health: A GAN-based Year-By-Year Imputation Method

Jiangtao Wang, Yasha Wang, Xu Chu, 2022, ACM Trans. Comput. Heal..

SeqCare: Sequential Training with External Medical Knowledge Graph for Diagnosis Prediction in Healthcare Data

Yasha Wang, Xu Chu, Junfeng Zhao, 2023, WWW.

Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation

Xiting Wang, Zhao Yang, Xu Chu, 2020, CIKM.

Motif-based Rule Discovery for Predicting Real-valued Time Series pdf

Xu Chu, Yuanduo He, Yasha Wang, 2017, ArXiv.

Graph Interpolation via Fast Fused-Gromovization

Yasha Wang, Wenwu Zhu, Xu Chu, 2023, ArXiv.

Spatial-Attention and Demographic-Augmented Generative Adversarial Imputation Network for Population Health Data Reconstruction

Jiangtao Wang, Yasha Wang, Xu Chu, 2023, IEEE Transactions on Big Data.

Enhancing Robust Text Classification via Category Description

Yasha Wang, Xu Chu, Junfeng Zhao, 2022, 2022 IEEE International Conference on Data Mining (ICDM).

Patient Health Representation Learning via Correlational Sparse Prior of Medical Features

Xin Ma, Guoren Wang, Yasha Wang, 2023, IEEE Transactions on Knowledge and Data Engineering.

Distance Metric Learning with Joint Representation Diversification

Xiting Wang, Xu Chu, Yang Lin, 2020, ICML.

Imputation with Inter-Series Information from Prototypes for Irregular Sampled Time Series

Xu Chu, Zhihao Yu, Liantao Ma, 2024, ArXiv.

Learnable Prompt as Pseudo-Imputation: Reassessing the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction

Xu Chu, Yinghao Zhu, Liantao Ma, 2024, ArXiv.

Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications

Yasha Wang, Wenwu Zhu, Xu Chu, 2023, Neural Information Processing Systems.

STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints

Jiangtao Wang, Xu Chu, Yasha Wang, 2019, CIKM.

Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks

Xin Wang, Shanghang Zhang, Yasha Wang, 2023, ICML.

Characteristic Subspace Learning for Time Series Classification

Xu Chu, Yuanduo He, Yasha Wang, 2018, 2018 IEEE International Conference on Data Mining (ICDM).