| Moflow: an invertible flow model for generating molecular graphs C Zang, F Wang Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 259 | 2020 |
| Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes H Zhang, C Zang, Z Xu, Y Zhang, J Xu, J Bian, D Morozyuk, D Khullar, ... Nature Medicine 29 (1), 226-235, 2023 | 114 | 2023 |
| Racial/ethnic disparities in post-acute sequelae of SARS-CoV-2 infection in New York: an EHR-based cohort study from the RECOVER program D Khullar, Y Zhang, C Zang, Z Xu, F Wang, MG Weiner, TW Carton, ... Journal of General Internal Medicine 38 (5), 1127-1136, 2023 | 67 | 2023 |
| Neural dynamics on complex networks C Zang, F Wang Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 56 | 2020 |
| Beyond sigmoids: The nettide model for social network growth, and its applications C Zang, P Cui, C Faloutsos Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016 | 50 | 2016 |
| Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative C Zang, Y Zhang, J Xu, J Bian, D Morozyuk, EJ Schenck, D Khullar, ... Nature Communications 14 (1), 1948, 2023 | 34* | 2023 |
| Contrastive learning improves critical event prediction in COVID-19 patients T Wanyan, H Honarvar, SK Jaladanki, C Zang, N Naik, S Somani, ... Patterns 2 (12), 2021 | 32 | 2021 |
| On power law growth of social networks C Zang, P Cui, C Faloutsos, W Zhu IEEE Transactions on Knowledge and Data Engineering 30 (9), 1727-1740, 2018 | 26 | 2018 |
| Quantifying structural patterns of information cascades C Zang, P Cui, C Song, C Faloutsos, W Zhu Proceedings of the 26th international conference on World Wide Web companion …, 2017 | 24 | 2017 |
| Recent advances on graph analytics and its applications in healthcare F Wang, P Cui, J Pei, Y Song, C Zang Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 21 | 2020 |
| SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records C Zang, F Wang the International Conference on Data Mining 2021, 2021 | 15 | 2021 |
| Long short memory process: Modeling growth dynamics of microscopic social connectivity C Zang, P Cui, C Faloutsos, W Zhu Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 15 | 2017 |
| Fates of Microscopic Social Ecosystems: Keep Alive or Dead? H Li, P Cui, C Zang, T Zhang, W Zhu, Y Lin The 25th ACM SIGKDD International Conference on Knowledge Discovery & Data …, 2019 | 14 | 2019 |
| Collective human behavior in cascading system: discovery, modeling and applications Y Lu, L Yu, T Zhang, C Zang, P Cui, C Song, W Zhu 2018 IEEE International Conference on Data Mining (ICDM), 297-306, 2018 | 13 | 2018 |
| Uncovering the co-driven mechanism of social and content links in user churn phenomena Y Lu, L Yu, P Cui, C Zang, R Xu, Y Liu, L Li, W Zhu Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 11 | 2019 |
| Exploring the collective human behavior in cascading systems: a comprehensive framework Y Lu, L Yu, T Zhang, C Zang, P Cui, C Song, W Zhu Knowledge and information systems 62, 4599-4623, 2020 | 10 | 2020 |
| Building the Model: Challenges and Considerations of Developing and Implementing Machine Learning Tools for Clinical Laboratory Medicine Practice HS Yang, DD Rhoads, J Sepulveda, C Zang, A Chadburn, F Wang Archives of Pathology & Laboratory Medicine, 2022 | 8 | 2022 |
| Dynamical origins of distribution functions C Zang, P Cui, W Zhu, F Wang Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 8 | 2019 |
| High-throughput target trial emulation for Alzheimer’s disease drug repurposing with real-world data C Zang, H Zhang, J Xu, H Zhang, S Fouladvand, S Havaldar, F Cheng, ... Nature communications 14 (1), 8180, 2023 | 7 | 2023 |
| Identifying environmental risk factors for post-acute sequelae of SARS-CoV-2 infection: An EHR-based cohort study from the recover program Y Zhang, H Hu, V Fokaidis, J Xu, C Zang, Z Xu, F Wang, M Koropsak, ... Environmental Advances 11, 100352, 2023 | 7 | 2023 |
Fei Wang, FAMIA, FIAHSI, FACMIProfessor at Cornell University在 med.cornell.edu 的电子邮件经过验证
