Maximizing topic propagation driven by multiple user nodes in micro-blogging. - Chang Su 002; Youtian Du; Xiaohong Guan; Chenhe Wu (LCN, 2013)

Web page and image semi-supervised classification with heterogeneous information fusion. - Youtian Du; Chang Su 002; Zhongmin Cai; Xiaohong Guan (J. Inf. Sci., 2013)

The NIPS'17 Competition: A Multi-View Ensemble Classification Model for Clinically Actionable Genetic Mutations. - Xi Zhang; Dandi Chen; Yongjun Zhu; Chao Che; Chang Su 002; Sendong Zhao; Xu Min; Fei Wang 001 (CoRR, 2018)

A fast multi-level algorithm for community detection in directed online social networks. - Chang Su 002; Xiaohong Guan; Youtian Du; Qian Wang 002; Fei Wang 001 (J. Inf. Sci., 2018)

Toward capturing heterogeneity for inferring diffusion networks: A mixed diffusion pattern model. - Chang Su 002; Xiaohong Guan; Youtian Du; Xin Huang; Minhua Zhang (Knowl. Based Syst., 2018)

GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment. - Sendong Zhao; Chang Su 002; Andrea Sboner; Fei Wang 001 (CIKM, 2019)

Embedded Representation of Relation Words with Visual Supervision. - Xue Wang; Youtian Du; Xuelian Li; Fuyuan Cao; Chang Su 002 (IRC, 2019)

Interactive Attention for Semantic Text Matching. - Sendong Zhao; Yong Huang; Chang Su 002; Yuantong Li; Fei Wang 001 (CoRR, 2019)

Interactive Attention Networks for Semantic Text Matching. - Sendong Zhao; Yong Huang; Chang Su 002; Yuantong Li; Fei Wang 001 (ICDM, 2020)

Network embedding in biomedical data science. - Chang Su 002; Jie Tong; Yongjun Zhu; Peng Cui 001; Fei Wang 001 (Briefings Bioinform., 2020)

Knowledge-driven drug repurposing using a comprehensive drug knowledge graph. - Yongjun Zhu; Chao Che; Bo Jin 001; Ningrui Zhang; Chang Su 002; Fei Wang 001 (Health Informatics J., 2020)

Kernel-Based Mixture Mapping for Image and Text Association. - Youtian Du; Xue Wang; Yunbo Cui; Hang Wang; Chang Su 002 (IEEE Trans. Multim., 2020)

Recent advances in biomedical literature mining. - Sendong Zhao; Chang Su 002; Zhiyong Lu; Fei Wang 001 (Briefings Bioinform., 2021)

Leveraging attention-based visual clue extraction for image classification. - Yunbo Cui; Youtian Du; Xue Wang; Hang Wang; Chang Su 002 (IET Image Process., 2021)

Federated Learning for Healthcare Informatics. - Jie Xu 012; Benjamin S. Glicksberg; Chang Su 002; Peter B. Walker; Jiang Bian 001; Fei Wang 001 (J. Heal. Informatics Res., 2021)

Clinical subphenotypes in COVID-19: derivation, validation, prediction, temporal patterns, and interaction with social determinants of health. - Chang Su 002; Yongkang Zhang 004; James H. Flory; Mark G. Weiner; Rainu Kaushal; Edward J. Schenck; Fei Wang 001 (npj Digit. Medicine, 2021)

Learning Fundamental Visual Concepts Based on Evolved Multi-Edge Concept Graph. - Hang Wang; Youtian Du; Guangxun Zhang; Zhongmin Cai; Chang Su 002 (IEEE Trans. Multim., 2021)

Comprehensively modeling heterogeneous symptom progression for Parkinson's disease subtyping. - Chang Su 002; Yu Hou; Jielin Xu; Matthew Brendel; Jacqueline R. M. A. Maasch; Zilong Bai; Yingying Zhu 003; Claire Henchcliffe; Feixiong Cheng; Fei Wang 001 (AMIA, 2022)

Unraveling the "Other" Diagnosis of Suspected Suicide Attempts at Emergency Department using Natural Language Processing (NLP). - Yunyu Xiao; Haotan Zhang; Yu Hou; Chang Su 002; Fei Wang 001 (AMIA, 2022)

Memory Efficient Temporal & Visual Graph Model for Unsupervised Video Domain Adaptation. - Xinyue Hu 002; Lin Gu 003; Liangchen Liu; Ruijiang Li; Chang Su 002; Tatsuya Harada; Yingying Zhu 003 (CoRR, 2022)

Improving suicide risk prediction via targeted data fusion: proof of concept using medical claims data. - Wanwan Xu; Chang Su 002; Yan Li; Steven Rogers; Fei Wang 001; Kun Chen 002; Robert H. Aseltine (J. Am. Medical Informatics Assoc., 2022)

Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review. - Matthew Brendel; Chang Su 002; Zilong Bai; Hao Zhang 050; Olivier Elemento; Fei Wang 001 (Genom. Proteom. Bioinform., 2022)

Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning. - Xinyue Hu 002; Lin Gu 003; Kazuma Kobayashi; Qiyuan An; Qingyu Chen 001; Zhiyong Lu; Chang Su 002; Tatsuya Harada; Yingying Zhu 004 (CoRR, 2023)

Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data. - Chang Su 002; Yu Hou; Jielin Xu; Zhenxing Xu; Manqi Zhou; Alison Ke; Haoyang Li 001; Jie Xu 012; Matthew Brendel; Jacqueline R. M. A. Maasch; Zilong Bai; Haotan Zhang; et al. (npj Digit. Medicine, 2024)