# indicates I am the co-first author. 

* indicates I am the corresponding author.

2023

• Yunyu Xiao, J. John Mann, Julian Chun-Chung Chow, Timothy T. Brown, Lonnie R. Snowden,  Paul Siu-Fai Yip, Alexander C. Tsai, Yu Hou, Jyotishman Pathak, Fei Wang, Chang Su*. Patterns of Social Determinants of Health and Child Mental Health, Cognition, and Physical Health. JAMA Pediatrics. [paper]

• Chang Su, Yu Hou, Manqi Zhou, Suraj Rajendran, Jacqueline RMA Maasch, Zehra Abedi, Haotan Zhang, Zilong Bai, Anthony Cuturrufo, Winston Guo, Fayzan F Chaudhry, Gregory Ghahramani, Jian Tang, Feixiong Cheng, Yue Li, Rui Zhang, Steven T DeKosky, Jiang Bian, Fei Wang. Biomedical discovery through the integrative biomedical knowledge hub (iBKH). iScience. [paper] [iBKH] [GitHub]

• Chang Su*, Yu Hou, Michael Levin, Rui Zhang, Fei Wang. Protocol to implement a computational pipeline for biomedical discovery based on a biomedical knowledge graph. STAR Protocols. [paper] [GitHub]

• Zhenxing Xu, Veer Vekaria, Fei Wang, Judith Cukor, Chang Su, Prakash Adekkanattu, Pascal Brandt, Guoqian Jiang, Richard C Kiefer, Yuan Luo, Luke V Rasmussen, Jie Xu, Yunyu Xiao, George Alexopoulos, Jyotishman Pathak. Using Machine Learning to Predict Antidepressant Treatment Outcome From Electronic Health Records. Psychiatric Research and Clinical Practice. [paper]

2022

• Chang Su, Yu Hou, Jielin Xu, Jie Xu, Matthew Brendel, Jacqueline R. M. A. Maasch, Zilong Bai, Haotan Zhang, Yingying Zhu, Claire Henchcliffe, James B. Leverenz, Jeffrey Cummings, Jiang Bian, Feixiong Cheng, Fei Wang. Integrative analyses of multimodal clinical, neuroimaging, genetic, and transcriptomic data identify subtypes and potential treatments for heterogeneous Parkinson’s disease progression. [medrxiv]

• Matthew Brendel, Chang Su#*, Zilong Bai, Hao Zhang, Olivier Elemento, Fei Wang. Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review. Genomics, Proteomics & Bioinformatics. [paper]

• Jay S Patel, Chang Su#, Marisol Tellez, Jasim M Albandar, Rishi Rao, Vishnu Iyer, Evan Shi, Huanmei Wu. Developing and testing a prediction model for periodontal disease using machine learning and big electronic dental record data. Frontiers in Artificial Intelligence. [paper]

• Chang Su, Yu Hou, Fei Wang. GNN-based Biomedical Knowledge Graph Mining in Drug Development. In: Graph Neural Networks: Foundations, Frontiers, and Applications. Springer, Singapore. [Chapter]

• Zhenxing Xu, Chengsheng Mao, Chang Su, Hao Zhang, Ilias Siempos, Lisa K Torres, Di Pan, Yuan Luo, Edward J Schenck, Fei Wang. Sepsis subphenotyping based on organ dysfunction trajectory. Critical Care. [paper]

• Xinyue Hu, Lin Gu, Liangchen Liu, Ruijiang Li, Chang Su, Tatsuya Harada, Yingying Zhu. Memory Efficient Temporal & Visual Graph Model for Unsupervised Video Domain Adaptation. [arxiv]

2021

• Chang Su, Yongkang Zhang, James H Flory, Mark G Weiner, Rainu Kaushal, Edward J Schenck, Fei Wang. Clinical subphenotypes in COVID-19: derivation, validation, prediction, temporal patterns, and interaction with social determinants of health. npj Digital Medicine. [paper]

• Chang Su, Zhenxing Xu, Katherine Hoffman, Parag Goyal, Monika M Safford, Jerry Lee, Sergio Alvarez-Mulett, Luis Gomez-Escobar, David R Price, John S Harrington, Lisa K Torres, Fernando J Martinez, Thomas R. Campion, Rainu Kaushal, Augustine M.K. Choi, Fei Wang, Edward J. Schenck. Identifying organ dysfunction trajectory-based subphenotypes in critically ill patients with COVID-19. Nature Scientific Reports. [medrxiv][paper]

• Chang Su, Katherine Hoffman, Zhenxing Xu, Elizabeth Sanchez, Ilias Siempos, John S Harrington, Alexandra Racanelli, Maria Plataki, Fei Wang, Edward J Schenck. Evaluation of albumin kinetics in mechanically ventilated patients with COVID-19 compared to those with sepsis-induced ARDS. Criti-cal Care Explorations. [medrxiv] [paper]

• # Wanwan Xu, Chang Su, Yan Li, Steven Rogers, Fei Wang, Kun Chen, and Robert Aseltine. Improving suicide risk prediction via targeted data fusion: proof of concept using medical claims data. JAMIA. [paper]

• Matthew Brendel, Chang Su, Yu Hou, Claire Henchcliffe, Fei Wang. Comprehensive subtyping of Parkinson’s disease patients with similarity fusion: a case study with BioFIND data. npj Parkinson's Disease. [paper]

• Zhenxing Xu, Chang Su, Yunyu Xiao, Fei Wang.  Artificial intelligence for COVID-19: Battling the pandemic withcomputational intelligence. Intelligent Medicine. [paper]

• Jie Xu, Benjamin S. Glicksberg, Chang Su, Peter Walker, Jiang Bian, Fei Wang. Federated learning for healthcare informatics. Journal of Healthcare Informatics Research. [paper]

• Zhenxing Xu, Chengsheng Mao, Chang Su, Ilias Siempos, Lisa K Torres, Di Pan, Yuan Luo, Edward J Schenck, Fei Wang. Sepsis Subphenotyping Based on Organ Dysfunction Trajectory. [medrxiv]

• Yunbo Cui, Youtian Du, Xue Wang, Hang Wang, Chang Su. Leveraging attention-based visual clue extraction for image classification. IET Imaging Processing. [paper]

2020

• Chang Su, Robert Aseltine, Riddhi Doshi, Kun Chen, Steven C. Rogers, Fei Wang. Machine learning for suicide risk prediction in children and adolescents with electronic health records. Nature Translational Pyschiatry. [paper]

• Chang Su, Jie Tong, Fei Wang. Mining genetic and transcriptomic data using machine learning approaches in Parkinson’s disease. npj Parkinson's Disease. [paper]

• Chang Su, Zhenxing Xu, Jyotishman Pathak, Fei Wang (2020). Deep learning in mental health outcome research: a scoping review. Nature Translational Pyschiatry. [paper] [pdf]

• Sendong Zhao, Chang Su, Zhiyong Lu, Fei Wang (2020). Recent advances in biomedical literature mining. Briefings in Bioinformatics. [paper]

• Weishen Pan, Chang Su, Kun Chen, Claire Henchcliffe, Fei Wang (2020). Learning Phenotypic Associations for Parkinson's Disease with Longitudinal Clinical Records. medRxiv. [paper]

• Sendong Zhao, Yong Huang, Chang Su, Yuantong Li, Fei Wang (2020). Interactive Attention Networks for Semantic Text Matching. IEEE International Conference on Data Mining (ICDM). [paper]

• Yongjun Zhu, Chao Che, Bo Jin, Ningrui Zhang, Chang Su, Fei Wang. Knowledge-driven drug repurposing using a comprehensive drug knowledge graph. Health Informatics Journal. [paper]

• Hang Wang, Youtian Du, Guangxun Zhang, Zhongmin Cai, Chang Su. Learning Fundamental Visual Concepts Based on Evolved Multi-Edge Concept Graph. IEEE Transactions on Multimedia. [paper]

2019

• Youtian Du, Xue Wang, Yunbo Cui, Hang Wang, Chang Su (2019). Kernel-based Mixture Mapping for Image and Text Association. IEEE Transactions on Multimedia.

• Sendong Zhao, Chang Su, Andera Sboner, Fei Wang (2019). GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment. InProceedings of the 28th ACM International Conference on Information and Knowledge Management 2019 Nov 3 (pp. 149-158).

• Xue Wang, Youtian Du, Xuelian Li, Fuyuan Cao, Chang Su (2019). Embedded Representation of Relation Words with Visual Supervision. 2019 Third IEEE International Conference on Robotic Computing (IRC). [paper]     

2018

• Chang Su, Jie Tong, Yongjun Zhu, Peng Cui, Fei Wang (2018). Network embedding in biomedical data science, Briefings in Bioinformatics, https://doi.org/10.1093/bib/bby117. [pdf]

• Xi Zhang, Dandi Chen, Yongjun Zhu, Chao Che, Chang Su, Sendong Zhao, Xu Min, Fei Wang (2018). A Multi-View Ensemble Classification Model for Clinically Actionable Genetic Mutations, NIPS'17 Competition: Building Intelligent Systems. [pdf]

• Chang Su, Xiaohong Guan, Youtian Du, Qian Wang, Fei Wang (2018). A fast multi-level algorithm for community detection in directed online social networks. Journal of Information Science. 44.3 (2018): 392-407. [pdf]

• Chang Su, Xiaohong Guan, Youtian Du, Xin Huang, Minhua Zhang (2018). Toward capturing heterogeneity for inferring diffusion networks: A mixed diffusion pattern model. Knowledge-Based Systems. 147 (2018): 81-93. [pdf]

2017

• Jie Tong, Ying Qi, Xiangmiao Wang, Liyin Yu, Chang Su, Wenjun Xie, Jianbao Zhang (2017). Cell micropatterning reveals the modulatory effect of cell shape on proliferation through intracellular calcium transients. Biochimica et Biophysica Acta (BBA)-Molecular Cell Research. 1864.12 (2017): 2389-2401.

2013

• Chang Su, Youtian Du, Xiaohong Guan, Chenhe Wu (2013). Maximizing topic propagation driven by multiple user nodes in micro-blogging. 38th Annual IEEE Conference on Local Computer Networks. pp. 751-754. [pdf]

• Youtian Du, Chang Su, Zhongmin Cai, Xiaohong Guan (2013). Web page and image semi-supervised classification with heterogeneous information fusion. Journal of Information Science 39.3 (2013): 289-306.

• Chenhe Wu, Youtian Du, Chang Su (2013). Topic recommendation method with finite driving user nodes in micro-blogging. Computer Engineering and Applications. 15 (2013): 33.