Yun Zhao
Orcid: 0000-0002-5544-8983Affiliations:
- Facebook Inc., Menlo Park, CA, USA
- University of California, Santa Barbara, Department of Computer Science, CA, USA (PhD 2021)
- Tsinghua University, Department of Electronic Engineering, Beijing, China
According to our database1,
Yun Zhao
authored at least 29 papers
between 2015 and 2024.
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Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on linkedin.com
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on orcid.org
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on github.com
On csauthors.net:
Bibliography
2024
Pattern Recognit., 2024
CoRR, 2024
CoRR, 2024
RUPBench: Benchmarking Reasoning Under Perturbations for Robustness Evaluation in Large Language Models.
CoRR, 2024
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records.
CoRR, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
CoRR, 2023
Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding.
Proceedings of the Machine Learning for Healthcare Conference, 2023
Advanced Volleyball Stats for All Levels: Automatic Setting Tactic Detection and Classification with a Single Camera.
Proceedings of the IEEE International Conference on Data Mining, 2023
2022
CoRR, 2022
Integrating Physiological Time Series and Clinical Notes with Transformer for Early Prediction of Sepsis.
CoRR, 2022
Proceedings of the IEEE International Conference on Knowledge Graph, 2022
Predicting the need for blood transfusion in intensive care units with reinforcement learning.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022
2021
Multiple Organ Failure Prediction with Classifier-Guided Generative Adversarial Imputation Networks.
CoRR, 2021
Empirical Analysis of Machine Learning Configurations for Prediction of Multiple Organ Failure in Trauma Patients.
CoRR, 2021
CoRR, 2021
Proceedings of the 2021 International Conference on Data Mining, 2021
2020
Scalable Bayesian Functional Connectivity Inference for Multi-Electrode Array Recordings.
CoRR, 2020
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
2019
CoRR, 2019
A Deep Learning Framework for Classification of in vitro Multi-Electrode Array Recordings.
Proceedings of the Advances in Data Mining, 2019
2017
Proceedings of the Eleventh International Conference on Web and Social Media, 2017
2016
Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016
Pricing policy and computational resource provisioning for delay-aware mobile edge computing.
Proceedings of the 2016 IEEE/CIC International Conference on Communications in China, 2016
2015
Proceedings of the 2015 IEEE/CIC International Conference on Communications in China, 2015
A Cooperative Scheduling Scheme of Local Cloud and Internet Cloud for Delay-Aware Mobile Cloud Computing.
Proceedings of the 2015 IEEE Globecom Workshops, San Diego, CA, USA, December 6-10, 2015, 2015