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ORCIDYun Zhao 0001
Person information
- unicode name: 赵赟
- affiliation: Facebook Inc., Menlo Park, CA, USA
- affiliation (PhD 2021): University of California, Santa Barbara, Department of Computer Science, CA, USA
- affiliation: Tsinghua University, Department of Electronic Engineering, Beijing, China
Other persons with the same name
- Yun Zhao — disambiguation page
- Yun Zhao 0002
![[0000-0001-7468-890X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7468-890X")
— Zhejiang University of Science and Technology, School of Information and Electronic Engineering, Hangzhou, China
Other persons with a similar name
- Zhao-Yun Chen
- Zhao Yun
- Su-Yun Zhao
- Yun-Bin Zhao — University of Birmingham, UK (and 1 more)
- Yun-Bo Zhao (aka: Yunbo Zhao) — Zhejiang University of Technology, College of Information Engineering, Hangzhou, China (and 1 more)
- Yun-Fan Zhao
- Yun-Mei Zhao
- Yun-hua Zhao
- Yun Wei Zhao
- Zhi-yun Zhao
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2020 – today
- 2024
[j1]Yuqing Wang, Yun Zhao, Linda R. Petzold:
An empirical study on the robustness of the segment anything model (SAM). Pattern Recognit. 155: 110685 (2024)- [c15]Yuqing Wang, Yun Zhao:
TRAM: Benchmarking Temporal Reasoning for Large Language Models. ACL (Findings) 2024: 6389-6415 - [c14]Yuqing Wang, Yun Zhao:
Metacognitive Prompting Improves Understanding in Large Language Models. NAACL-HLT 2024: 1914-1926 - [c13]Haotian Xia, Zhengbang Yang, Yuqing Wang, Rhys Tracy, Yun Zhao, Dongdong Huang, Zezhi Chen, Yan Zhu, Yuan-Fang Wang, Weining Shen:
SportQA: A Benchmark for Sports Understanding in Large Language Models. NAACL-HLT 2024: 5061-5081 - [i24]Yuqing Wang, Malvika Pillai, Yun Zhao, Catherine M. Curtin, Tina Hernandez-Boussard:
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records. CoRR abs/2402.00955 (2024) - [i23]Haotian Xia, Zhengbang Yang, Yuqing Wang, Rhys Tracy, Yun Zhao, Dongdong Huang, Zezhi Chen, Yan Zhu, Yuan-Fang Wang, Weining Shen:
SportQA: A Benchmark for Sports Understanding in Large Language Models. CoRR abs/2402.15862 (2024) - [i22]Yuqing Wang, Yun Zhao:
RUPBench: Benchmarking Reasoning Under Perturbations for Robustness Evaluation in Large Language Models. CoRR abs/2406.11020 (2024) - [i21]Yuqing Wang, Yun Zhao, Sara Alessandra Keller, Anne A. H. de Hond, Marieke M. van Buchem, Malvika Pillai, Tina Hernandez-Boussard:
Unveiling and Mitigating Bias in Mental Health Analysis with Large Language Models. CoRR abs/2406.12033 (2024) - [i20]Haotian Xia, Zhengbang Yang, Yun Zhao, Yuqing Wang, Jingxi Li, Rhys Tracy, Zhuangdi Zhu, Yuan-Fang Wang, Hanjie Chen, Weining Shen:
Language and Multimodal Models in Sports: A Survey of Datasets and Applications. CoRR abs/2406.12252 (2024) - 2023
- [c12]Haotian Xia, Rhys Tracy, Yun Zhao, Yuqing Wang, Yuan-Fang Wang, Weining Shen:
Advanced Volleyball Stats for All Levels: Automatic Setting Tactic Detection and Classification with a Single Camera. ICDM (Workshops) 2023: 1407-1416 - [c11]Yuqing Wang, Yun Zhao, Linda R. Petzold:
Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding. MLHC 2023: 804-823 - [i19]Yuqing Wang, Yun Zhao, Linda R. Petzold:
Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding. CoRR abs/2304.05368 (2023) - [i18]Yuqing Wang, Yun Zhao, Linda R. Petzold:
An Empirical Study on the Robustness of the Segment Anything Model (SAM). CoRR abs/2305.06422 (2023) - [i17]Yuqing Wang, Yun Zhao:
Metacognitive Prompting Improves Understanding in Large Language Models. CoRR abs/2308.05342 (2023) - [i16]Haotian Xia, Rhys Tracy, Yun Zhao, Yuqing Wang, Yuan-Fang Wang, Weining Shen:
Advanced Volleyball Stats for All Levels: Automatic Setting Tactic Detection and Classification with a Single Camera. CoRR abs/2309.14753 (2023) - [i15]Yuqing Wang, Yun Zhao:
TRAM: Benchmarking Temporal Reasoning for Large Language Models. CoRR abs/2310.00835 (2023) - [i14]Yuqing Wang, Yun Zhao:
Gemini in Reasoning: Unveiling Commonsense in Multimodal Large Language Models. CoRR abs/2312.17661 (2023) - 2022
- [c10]Yuqing Wang, Yun Zhao, Linda R. Petzold:
Predicting the need for blood transfusion in intensive care units with reinforcement learning. BCB 2022: 7:1-7:10 - [c9]Haotian Xia, Rhys Tracy, Yun Zhao, Erwan Fraisse, Yuan-Fang Wang, Linda R. Petzold:
VREN: Volleyball Rally Dataset with Expression Notation Language. ICKG 2022: 337-346 - [i13]Yuqing Wang, Yun Zhao, Rachael Callcut, Linda R. Petzold:
Integrating Physiological Time Series and Clinical Notes with Transformer for Early Prediction of Sepsis. CoRR abs/2203.14469 (2022) - [i12]Yuqing Wang, Yun Zhao, Linda R. Petzold:
Enhancing Transformer Efficiency for Multivariate Time Series Classification. CoRR abs/2203.14472 (2022) - [i11]Yuqing Wang, Yun Zhao, Linda R. Petzold:
Predicting the Need for Blood Transfusion in Intensive Care Units with Reinforcement Learning. CoRR abs/2206.14198 (2022) - [i10]Haotian Xia, Rhys Tracy, Yun Zhao, Erwan Fraisse, Yuan-Fang Wang, Linda R. Petzold:
VREN: Volleyball Rally Dataset with Expression Notation Language. CoRR abs/2209.13846 (2022) - 2021
- [b1]Yun Zhao:
Data Mining in Neuroscience and Healthcare. University of California, Santa Barbara, USA, 2021 - [c8]Yun Zhao, Yuqing Wang, Junfeng Liu, Haotian Xia, Zhenni Xu, Qinghang Hong, Zhiyang Zhou, Linda R. Petzold:
Empirical Quantitative Analysis of COVID-19 Forecasting Models. ICDM (Workshops) 2021: 517-526 - [i9]Yun Zhao, Qinghang Hong, Xinlu Zhang, Yu Deng, Yuqing Wang, Linda R. Petzold:
BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma Patients. CoRR abs/2103.10928 (2021) - [i8]Yuqing Wang, Yun Zhao, Rachael Callcut, Linda R. Petzold:
Empirical Analysis of Machine Learning Configurations for Prediction of Multiple Organ Failure in Trauma Patients. CoRR abs/2103.10929 (2021) - [i7]Xinlu Zhang, Yun Zhao, Rachael Callcut, Linda R. Petzold:
Multiple Organ Failure Prediction with Classifier-Guided Generative Adversarial Imputation Networks. CoRR abs/2106.11878 (2021) - [i6]Yun Zhao, Yuqing Wang, Junfeng Liu, Haotian Xia, Zhenni Xu, Qinghang Hong, Zhiyang Zhou, Linda R. Petzold:
Empirical Quantitative Analysis of COVID-19 Forecasting Models. CoRR abs/2110.00174 (2021) - 2020
- [c7]Yun Zhao, Franklin Ly, Qinghang Hong, Zhuowei Cheng, Tyler Santander, Henry T. Yang, Paul K. Hansma, Linda R. Petzold:
How Much Does It Hurt: A Deep Learning Framework for Chronic Pain Score Assessment. ICDM (Workshops) 2020: 651-660 - [i5]Yun Zhao, Richard M. Jiang, Zhenni Xu, Elmer Guzman, Paul K. Hansma, Linda R. Petzold:
Scalable Bayesian Functional Connectivity Inference for Multi-Electrode Array Recordings. CoRR abs/2007.02198 (2020) - [i4]Yun Zhao, Franklin Ly, Qinghang Hong, Zhuowei Cheng, Tyler Santander, Henry T. Yang, Paul K. Hansma, Linda R. Petzold:
How Much Does It Hurt: A Deep Learning Framework for Chronic Pain Score Assessment. CoRR abs/2009.12202 (2020)
2010 – 2019
- 2019
- [c6]Yun Zhao, Elmer Guzman, Morgane Audouard, Zhuowei Cheng, Paul K. Hansma, Kenneth S. Kosik, Linda R. Petzold:
A Deep Learning Framework for Classification of in vitro Multi-Electrode Array Recordings. ICDM (Posters) 2019: 197-210 - [i3]Yun Zhao, Elmer Guzman, Morgane Audouard, Zhuowei Cheng, Paul K. Hansma, Kenneth S. Kosik, Linda R. Petzold:
A Deep Learning Framework for Classification of in vitro Multi-Electrode Array Recordings. CoRR abs/1906.02241 (2019) - [i2]Yun Zhao:
An Auxiliary Classifier Generative Adversarial Framework for Relation Extraction. CoRR abs/1909.05370 (2019) - 2017
- [c5]Xinyi Zhang, Shiliang Tang, Yun Zhao, Gang Wang, Haitao Zheng, Ben Y. Zhao:
Cold Hard E-Cash: Friends and Vendors in the Venmo Digital Payments System. ICWSM 2017: 387-396 - 2016
- [c4]Tianchu Zhao, Sheng Zhou, Xueying Guo, Yun Zhao, Zhisheng Niu:
Pricing policy and computational resource provisioning for delay-aware mobile edge computing. ICCC 2016: 1-6 - [c3]Yangtian Yan, Bangcheng Sun, Yun Zhao, Zhenhui Huang, Hui Yang, Jian Song:
A Bi-Directional Visible Light Communication System Based on DTMB-A. VTC Spring 2016: 1-4 - 2015
- [c2]Tianchu Zhao, Sheng Zhou, Xueying Guo, Yun Zhao, Zhisheng Niu:
A Cooperative Scheduling Scheme of Local Cloud and Internet Cloud for Delay-Aware Mobile Cloud Computing. GLOBECOM Workshops 2015: 1-6 - [c1]Yun Zhao, Sheng Zhou, Tianchu Zhao, Zhisheng Niu:
Energy-efficient task offloading for multiuser mobile cloud computing. ICCC 2015: 1-5 - [i1]Tianchu Zhao, Sheng Zhou, Xueying Guo, Yun Zhao, Zhisheng Niu:
A Cooperative Scheduling Scheme of Local Cloud and Internet Cloud for Delay-Aware Mobile Cloud Computing. CoRR abs/1511.08540 (2015)
Coauthor Index
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