| A review of low-intensity pulsed ultrasound for therapeutic applications X Jiang, O Savchenko, Y Li, S Qi, T Yang, W Zhang, J Chen IEEE Transactions on Biomedical Engineering 66 (10), 2704-2718, 2018 | 270 | 2018 |
| High-resolution metabolomic biomarkers for lung cancer diagnosis and prognosis S Qi, Q Wu, Z Chen, W Zhang, Y Zhou, K Mao, J Li, Y Li, J Chen, Y Huang, ... Scientific reports 11 (1), 11805, 2021 | 61 | 2021 |
| Learning language and acoustic models for identifying Alzheimer’s dementia from speech Z Shah, J Sawalha, M Tasnim, S Qi, E Stroulia, R Greiner Frontiers in Computer Science 3, 624659, 2021 | 40 | 2021 |
| ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis Y Yu, M Zhao, S Qi, F Sun, B Wang, W Guo, X Wang, L Yang, D Niu Findings of the Association for Computational Linguistics: ACL 2023, 13610–13624, 2023 | 21 | 2023 |
| An effective meaningful way to evaluate survival models S Qi, N Kumar, M Farrokh, W Sun, LH Kuan, R Ranganath, R Henao, ... In Proceedings of the 40th International Conference on Machine Learning …, 2023 | 19 | 2023 |
| Exploring language-agnostic speech representations using domain knowledge for detecting alzheimer’s dementia Z Shah, SA Qi, F Wang, M Farrokh, M Tasnim, E Stroulia, R Greiner, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 13 | 2023 |
| SurvivalEVAL: A Comprehensive Open-Source Python Package for Evaluating Individual Survival Distributions S Qi, W Sun, R Greiner Proceedings of the AAAI Symposium Series 2 (1), 453-457, 2023 | 10 | 2023 |
| Learning accurate personalized survival models for predicting hospital discharge and mortality of COVID-19 patients N Kumar, S Qi, LH Kuan, W Sun, J Zhang, R Greiner Scientific reports 12 (1), 4472, 2022 | 10 | 2022 |
| Design of a novel wearable LIPUS treatment device for mental health treatment S Qi, Y Li, W Zhang, J Chen 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 7 | 2018 |
| Using Bayesian Neural Networks to Select Features and Compute Credible Intervals for Personalized Survival Prediction S Qi, N Kumar, R Verma, JY Xu, G Shen-Tu, R Greiner IEEE Transactions on Biomedical Engineering 70 (12), 3389-3400, 2023 | 6 | 2023 |
| Personalized breast cancer onset prediction from lifestyle and health history information S Qi, N Kumar, JY Xu, J Patel, S Damaraju, G Shen-Tu, R Greiner Plos one 17 (12), e0279174, 2022 | 6 | 2022 |
| Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration S Qi, Y Yu, R Greiner International Conference on Machine Learning, 2024, 2024 | 2 | 2024 |
| PepRec: Progressive Enhancement of Prompting for Recommendation Y Yu, S Qi, B Li, D Niu Empirical Methods in Natural Language Processing, 2024, 2024 | 1 | 2024 |
| Supervised Electrocardiogram (ECG) Features Outperform Knowledge-based And Unsupervised Features In Individualized Survival Prediction Y Nademi, SV Kalmady, W Sun, S Qi, A Hindle, P Kaul, R Greiner Machine Learning for Health (ML4H), 368-384, 2023 | 1 | 2023 |
| Predicting Individual Survival Distributions Using ECG: A Deep Learning Approach Utilizing Features Extracted by a Learned Diagnostic Model W Sun, SV Kalmady, S Qi, N Sepehrvand, A Hindle, R Greiner, P Kaul Proceedings of the AAAI Symposium Series 2 (1), 475-481, 2023 | 1 | 2023 |
| iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models Y Yu, S Qi, J Yang, L Jiang, D Niu Proceedings of the 32st ACM International Conference on Information …, 2023 | 1 | 2023 |
| Toward Conditional Distribution Calibration in Survival Prediction S Qi, Y Yu, R Greiner Advances in Neural Information Processing Systems 37, 2024 | | 2024 |
| MENSA: A Multi-Event Network for Survival Analysis under Informative Censoring CM Lillelund, AHG Foomani, W Sun, S Qi, R Greiner arXiv preprint arXiv:2409.06525, 2024 | | 2024 |
| MENSA: A Multi-Event Network for Survival Analysis under Informative Censoring C Marius Lillelund, AH Gharari Foomani, W Sun, S Qi, R Greiner arXiv e-prints, arXiv: 2409.06525, 2024 | | 2024 |
| Effective Survival Prediction and Evaluation for Cancer Patients M Farrokh, S Qi, N Kumar, R Greiner | | 2024 |
Russ GreinerProfessor of Computing Science, University of Alberta; CIFAR AI Chairualberta.ca의 이메일 확인됨