Yun Zhao

Orcid: 0000-0002-5544-8983

Affiliations:
  • 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 25 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records.
CoRR, 2024

2023
Gemini in Reasoning: Unveiling Commonsense in Multimodal Large Language Models.
CoRR, 2023

TRAM: Benchmarking Temporal Reasoning for Large Language Models.
CoRR, 2023

Metacognitive Prompting Improves Understanding in Large Language Models.
CoRR, 2023

An Empirical Study on the Robustness of the Segment Anything Model (SAM).
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
Enhancing Transformer Efficiency for Multivariate Time Series Classification.
CoRR, 2022

Integrating Physiological Time Series and Clinical Notes with Transformer for Early Prediction of Sepsis.
CoRR, 2022

VREN: Volleyball Rally Dataset with Expression Notation Language.
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
Data Mining in Neuroscience and Healthcare.
PhD thesis, 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

BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma Patients.
CoRR, 2021

Empirical Quantitative Analysis of COVID-19 Forecasting Models.
Proceedings of the 2021 International Conference on Data Mining, 2021

2020
Scalable Bayesian Functional Connectivity Inference for Multi-Electrode Array Recordings.
CoRR, 2020

How Much Does It Hurt: A Deep Learning Framework for Chronic Pain Score Assessment.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019
An Auxiliary Classifier Generative Adversarial Framework for Relation Extraction.
CoRR, 2019

A Deep Learning Framework for Classification of in vitro Multi-Electrode Array Recordings.
Proceedings of the Advances in Data Mining, 2019

2017
Cold Hard E-Cash: Friends and Vendors in the Venmo Digital Payments System.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

2016
A Bi-Directional Visible Light Communication System Based on DTMB-A.
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
Energy-efficient task offloading for multiuser mobile cloud computing.
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


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