| A cooperative scheduling scheme of local cloud and internet cloud for delay-aware mobile cloud computing T Zhao, S Zhou, X Guo, Y Zhao, Z Niu 2015 IEEE globecom workshops (GC Wkshps), 1-6, 2015 | 164 | 2015 |
| Energy-efficient task offloading for multiuser mobile cloud computing Y Zhao, S Zhou, T Zhao, Z Niu 2015 IEEE/CIC International Conference on Communications in China (ICCC), 1-5, 2015 | 51 | 2015 |
| Cold hard e-cash: Friends and vendors in the venmo digital payments system X Zhang, S Tang, Y Zhao, G Wang, H Zheng, B Zhao Proceedings of the International AAAI Conference on Web and Social Media 11 …, 2017 | 48 | 2017 |
| Pricing policy and computational resource provisioning for delay-aware mobile edge computing T Zhao, S Zhou, X Guo, Y Zhao, Z Niu 2016 IEEE/CIC International Conference on Communications in China (ICCC), 1-6, 2016 | 48 | 2016 |
| Are large language models ready for healthcare? a comparative study on clinical language understanding Y Wang, Y Zhao, L Petzold Machine Learning for Healthcare Conference, 804-823, 2023 | 25 | 2023 |
| BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma Patients Y Zhao, Q Hong, X Zhang, Y Deng, Y Wang, L Petzold ICDM 2021, 2021 | 19 | 2021 |
| An empirical study on the robustness of the segment anything model (sam) Y Wang, Y Zhao, L Petzold arXiv preprint arXiv:2305.06422, 2023 | 12 | 2023 |
| Integrating physiological time series and clinical notes with transformer for early prediction of sepsis Y Wang, Y Zhao, R Callcut, L Petzold arXiv preprint arXiv:2203.14469, 2022 | 11 | 2022 |
| Empirical quantitative analysis of COVID-19 forecasting models Y Zhao, Y Wang, J Liu, H Xia, Z Xu, Q Hong, Z Zhou, L Petzold 2021 International Conference on Data Mining Workshops (ICDMW), 517-526, 2021 | 9 | 2021 |
| Tram: Benchmarking temporal reasoning for large language models Y Wang, Y Zhao arXiv preprint arXiv:2310.00835, 2023 | 8 | 2023 |
| Metacognitive prompting improves understanding in large language models Y Wang, Y Zhao arXiv preprint arXiv:2308.05342, 2023 | 8 | 2023 |
| How Much Does It Hurt: A Deep Learning Framework for Chronic Pain Score Assessment Y Zhao, F Ly, Q Hong, Z Cheng, T Santander, HT Yang, PK Hansma, ... 2020 International Conference on Data Mining Workshops (ICDMW), 651-660, 2020 | 8 | 2020 |
| Comparison of state-of-the-art neural network survival models with the pooled cohort equations for cardiovascular disease risk prediction Y Deng, L Liu, H Jiang, Y Peng, Y Wei, Z Zhou, Y Zhong, Y Zhao, X Yang, ... BMC Medical Research Methodology 23 (1), 22, 2023 | 6 | 2023 |
| Gemini in reasoning: Unveiling commonsense in multimodal large language models Y Wang, Y Zhao arXiv preprint arXiv:2312.17661, 2023 | 5 | 2023 |
| VREN: volleyball rally dataset with expression notation language H Xia, R Tracy, Y Zhao, E Fraisse, YF Wang, L Petzold 2022 IEEE International Conference on Knowledge Graph (ICKG), 337-346, 2022 | 4 | 2022 |
| Preliminary study: quantification of chronic pain from physiological data Z Cheng, F Ly, T Santander, E Turki, Y Zhao, J Yoo, K Lonergan, J Gray, ... Pain reports 7 (6), e1039, 2022 | 3 | 2022 |
| Predicting the need for blood transfusion in intensive care units with reinforcement learning Y Wang, Y Zhao, L Petzold Proceedings of the 13th ACM International Conference on Bioinformatics …, 2022 | 3 | 2022 |
| Empirical Analysis of Machine Learning Configurations for Prediction of Multiple Organ Failure in Trauma Patients Y Wang, Y Zhao, R Callcut, L Petzold ICDM 2021, 2021 | 3 | 2021 |
| Enhancing transformer efficiency for multivariate time series classification Y Wang, Y Zhao, L Petzold arXiv preprint arXiv:2203.14472, 2022 | 2 | 2022 |
| Scalable Bayesian Functional Connectivity Inference for Multi-Electrode Array Recordings Y Zhao, R Jiang, Z Xu, E Guzman, PK Hansma, L Petzold BIOKDD 2020, 2020 | 2 | 2020 |
Linda PetzoldProfessor, University of California Santa BarbaraVerified email at cs.ucsb.edu
