| Deep transfer learning for reducing health care disparities arising from biomedical data inequality Y Gao, Y Cui Nature communications 11 (1), 5131, 2020 | 85 | 2020 |
| Human behavior modeling for evacuation from classroom using cellular automata P Song, Y Gao, Y Xue, J Jia, W Luo, W Li IEEE Access 7, 98694-98701, 2019 | 16 | 2019 |
| Occupancy detection in smart housing using both aggregated and appliance-specific power consumption data Y Gao, A Schay, D Hou 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 15 | 2018 |
| Multi-ethnic survival analysis: transfer learning with cox neural networks Y Gao, Y Cui Survival Prediction-Algorithms, Challenges and Applications, 252-257, 2021 | 6 | 2021 |
| Web3D-based automatic furniture layout system using recursive case-based reasoning and floor field P Song, Y Zheng, J Jia, Y Gao Multimedia Tools and Applications 78 (4), 5051-5079, 2019 | 6 | 2019 |
| Clinical time-to-event prediction enhanced by incorporating compatible related outcomes Y Gao, Y Cui PLOS digital health 1 (5), e0000038, 2022 | 5 | 2022 |
| Water fixture identification in smart housing: A domain knowledge based case study Y Gao, D Hou, N Banerjee, S Banerjee 2016 15th IEEE International Conference on Machine Learning and Applications …, 2016 | 5 | 2016 |
| Addressing the challenge of biomedical data inequality: An artificial intelligence perspective Y Gao, T Sharma, Y Cui Annual review of biomedical data science 6, 153-171, 2023 | 4 | 2023 |
| Home appliance energy disaggregation using low frequency data and machine learning classifiers Y Gao, A Schay, D Hou, J Ortiz 2017 16th IEEE International Conference on Machine Learning and Applications …, 2017 | 4 | 2017 |
| Home appliance detection from aggregated energy consumption data on a single circuit Y Gao, A Schay, D Hou 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2017 | 4 | 2017 |
| Fixture identification from aggregated hot water consumption data Y Gao, D Hou, S Banerjee 2016 IEEE International Smart Cities Conference (ISC2), 1-6, 2016 | 3 | 2016 |
| A time series data transformation engine for non-programmer end users C Schutz, Y Gao, D Hou, S Powers, S Grimberg, J DeWaters 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 1-7, 2016 | 3 | 2016 |
| Lightweight Web3D modeling by finding and reusing repeated components L Wen, J Jia, Y Gao Proceedings of the 10th International Conference on Virtual Reality …, 2011 | 3 | 2011 |
| An improved progressive mesh and streaming transmission strategy Y Gao, J Jia, Y Xiang Proceedings of 2012 2nd International Conference on Computer Science and …, 2012 | 2 | 2012 |
| Deep transfer learning provides a Pareto improvement for multi-ancestral clinico-genomic prediction of diseases Y Gao, Y Cui bioRxiv, 2022.09. 22.509055, 2022 | 1 | 2022 |
| ArchFLoc: Locating and explaining architectural features in running web applications Y Gao, D Hou 2015 IEEE International Conference on Software Maintenance and Evolution …, 2015 | 1 | 2015 |
| DiNAMIC. Duo: detecting somatic DNA copy number differences without a normal reference V Walter, HY Choi, X Zhao, Y Gao, J Holt, DN Hayes Bioinformatics 38 (18), 4415-4417, 2022 | | 2022 |
| Data Inequality, Machine Learning and Health Disparity Y Gao, Y Cui ICML 2021 Workshop on Computational Biology, 2021 | | 2021 |
| Predicting Renal Graft Function Post Transplantation Using Clinical and Biological Features Supported by Machine Learning Algorithms Y Gao, Y Cui, C Kuscu, C Kuscu, L Gallon, A Bajwa, E Akalin, JD Eason, D ... AMERICAN JOURNAL OF TRANSPLANTATION 20, 885-885, 2020 | | 2020 |
| Transfer learning for reducing health disparity arising from data inequality Y Gao, Y Cui | | |
Yan CuiProfessor of Genetics, Genomics and Informatics, UTHSCVerified email at uthsc.edu
