Zehao Yu

According to our database, Zehao Yu authored at least 37 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

2D Gaussian Splatting for Geometrically Accurate Radiance Fields.

Binbin Huang, Zehao Yu, Anpei Chen, Andreas Geiger, Shenghua Gao

CoRR, 2024

Improving Generalizability of Extracting Social Determinants of Health Using Large Language Models through Prompt-tuning.

Cheng Peng, Zehao Yu, Kaleb E. Smith, Wei-Hsuan Lo-Ciganic, Jiang Bian, Yonghui Wu

CoRR, 2024

2023

TransFuser: Imitation With Transformer-Based Sensor Fusion for Autonomous Driving.

Kashyap Chitta, Aditya Prakash, Bernhard Jaeger, Zehao Yu, Katrin Renz, Andreas Geiger

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Clinical concept and relation extraction using prompt-based machine reading comprehension.

Cheng Peng, Xi Yang, Zehao Yu, Jiang Bian, William R. Hogan, Yonghui Wu

J. Am. Medical Informatics Assoc., August, 2023

Contextualized medication information extraction using Transformer-based deep learning architectures.

Aokun Chen, Zehao Yu, Xi Yang, Yi Guo, Jiang Bian, Yonghui Wu

J. Biomed. Informatics, June, 2023

Generative Large Language Models Are All-purpose Text Analytics Engines: Text-to-text Learning Is All Your Need.

Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E. Smith, Anthony B. Costa, Mona G. Flores, Jiang Bian, Yonghui Wu

CoRR, 2023

Mip-Splatting: Alias-free 3D Gaussian Splatting.

Zehao Yu, Anpei Chen, Binbin Huang, Torsten Sattler, Andreas Geiger

CoRR, 2023

Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction.

Cheng Peng, Xi Yang, Kaleb E. Smith, Zehao Yu, Aokun Chen, Jiang Bian, Yonghui Wu

CoRR, 2023

DebSDF: Delving into the Details and Bias of Neural Indoor Scene Reconstruction.

Yuting Xiao, Jingwei Xu, Zehao Yu, Shenghua Gao

CoRR, 2023

Extracting Thyroid Nodules Characteristics from Ultrasound Reports Using Transformer-based Natural Language Processing Methods.

Aman Pathak, Zehao Yu, Daniel Paredes, Elio Paul Monsour, Andrea Ortiz Rocha, Juan P. Brito, Naykky Singh Ospina, Yonghui Wu

CoRR, 2023

Identifying Symptoms of Delirium from Clinical Narratives Using Natural Language Processing.

Aokun Chen, Daniel Paredes, Zehao Yu, Xiwei Lou, Roberta Brunson, Jamie N. Thomas, Kimberly A. Martinez, Robert J. Lucero, Tanja Magoc, Laurence M. Solberg, Urszula Alina Snigurska, Sarah E. Ser, Mattia Prosperi, Jiang Bian, Ragnhildur I. Bjarnadottir, Yonghui Wu

CoRR, 2023

Clinical Concept and Relation Extraction Using Prompt-based Machine Reading Comprehension.

Cheng Peng, Xi Yang, Zehao Yu, Jiang Bian, William R. Hogan, Yonghui Wu

CoRR, 2023

Contextualized Medication Information Extraction Using Transformer-based Deep Learning Architectures.

Aokun Chen, Zehao Yu, Xi Yang, Yi Guo, Jiang Bian, Yonghui Wu

CoRR, 2023

PlaneDepth: Self-Supervised Depth Estimation via Orthogonal Planes.

Ruoyu Wang, Zehao Yu, Shenghua Gao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language processing methods.

Zehao Yu, Xi Yang, Gianna L. Sweeting, Yinghan Ma, Skylar E. Stolte, Ruogu Fang, Yonghui Wu

BMC Medical Informatics Decis. Mak., 2022

SODA: A Natural Language Processing Package to Extract Social Determinants of Health for Cancer Studies.

Zehao Yu, Xi Yang, Chong Dang, Prakash Adekkanattu, Braja Gopal Patra, Yifan Peng, Jyotishman Pathak, Debbie L. Wilson, Ching-Yuan Chang, Wei-Hsuan Lo-Ciganic, Thomas J. George, William R. Hogan, Yi Guo, Jiang Bian, Yonghui Wu

CoRR, 2022

PlaneDepth: Plane-Based Self-Supervised Monocular Depth Estimation.

Ruoyu Wang, Zehao Yu, Shenghua Gao

CoRR, 2022

MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction.

Zehao Yu, Songyou Peng, Michael Niemeyer, Torsten Sattler, Andreas Geiger

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AS-MLP: An Axial Shifted MLP Architecture for Vision.

Dongze Lian, Zehao Yu, Xing Sun, Shenghua Gao

Proceedings of the Tenth International Conference on Learning Representations, 2022

Identify Cancer Patients at Risk for Heart Failure using Electronic Health Record and Genetic Data.

Zehao Yu, Xi Yang, Yiqing Chen, Ruogu Fang, William R. Hogan, Yan Gong, Yonghui Wu

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

2021

Methods on Detecting Closely Related Topics and Spatial Events.

Zehao Yu

Int. J. Softw. Eng. Knowl. Eng., 2021

Clinical Relation Extraction Using Transformer-based Models.

Xi Yang, Zehao Yu, Yi Guo, Jiang Bian, Yonghui Wu

CoRR, 2021

An Event Detection Method Combining Temporal Dimension and Position Dimension.

Zehao Yu

Proceedings of the Knowledge Science, Engineering and Management, 2021

Identify Diabetic Retinopathy-related Clinical Concepts Using Transformer-based Natural Language Processing Methods.

Zehao Yu, Xi Yang, Gianna L. Sweeting, Yinghan Ma, Skylar E. Stolte, Ruogu Fang, Yonghui Wu

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

Digital Twin Channel: A Data-Driven Continuous Trajectory Modeling.

Zehao Yu, Xingzai Lv, Hua Rui, Wei Lin

Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models.

Zehao Yu, Xi Yang, Chong Dang, Songzi Wu, Prakash Adekkanattu, Jyotishman Pathak, Thomas J. George, William R. Hogan, Yi Guo, Jiang Bian, Yonghui Wu

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Two Improved Topic Word Detection Algorithms.

Zehao Yu

Int. J. Softw. Eng. Knowl. Eng., 2020

Localization Based on Channel Impulse Response Estimates.

Zehao Yu, Zhenyu Liu, Florian Meyer, Andrea Conti, Moe Z. Win

Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2020

SUNet: A Lesion Regularized Model for Simultaneous Diabetic Retinopathy and Diabetic Macular Edema Grading.

Zhi Tu, Shenghua Gao, Kang Zhou, Xianing Chen, Huazhu Fu, Zaiwang Gu, Jun Cheng, Zehao Yu, Jiang Liu

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

P²Net: Patch-Match and Plane-Regularization for Unsupervised Indoor Depth Estimation.

Zehao Yu, Lei Jin, Shenghua Gao

Proceedings of the Computer Vision - ECCV 2020, 2020

Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement.

Zehao Yu, Shenghua Gao

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Single-Image Piece-Wise Planar 3D Reconstruction via Associative Embedding.

Zehao Yu, Jia Zheng, Dongze Lian, Zihan Zhou, Shenghua Gao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions.

Guosheng Hu, Yuxin Hu, Kai Yang, Zehao Yu, Flood Sung, Zhihong Zhang, Fei Xie, Jianguo Liu, Neil Martin Robertson, Timothy M. Hospedales, Qiangwei Miemie

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States.

Guosheng Hu, Li Liu, Yang Yuan, Zehao Yu, Yang Hua, Zhihong Zhang, Fumin Shen, Ling Shao, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang

Proceedings of the Computer Vision - ECCV 2018, 2018

Believe It or Not, We Know What You Are Looking At!

Dongze Lian, Zehao Yu, Shenghua Gao

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

On Energy Efficient Uplink Multi-User MIMO with Shared LNA Control.

Zehao Yu, Cong Shen, Pengkai Zhao, Xiliang Luo

CoRR, 2017

On the effective capacities of distributed and co-located large-scale antenna systems.

Cong Shen, Zehao Yu, Chang Wen Chen, Feng Wu

Proceedings of the IEEE International Conference on Communications, 2017