Yanbo Xu

According to our database, Yanbo Xu authored at least 35 papers between 2008 and 2024.

Collaborative distances:

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

2024

Robust Representation Learning and Real-Time Serving of Deep Models for Health Time Series.

Yanbo Xu

PhD thesis, 2024

Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging.

Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama, Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Hassan Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu Wei, Tristan Naumann, Muhao Chen, Matthew P. Lungren, Serena Yeung-Levy, Curtis P. Langlotz, Sheng Wang, Hoifung Poon

CoRR, 2024

Foundation Models for Biomedical Image Segmentation: A Survey.

Ho Hin Lee, Yu Gu, Theodore Zhao, Yanbo Xu, Jianwei Yang, Naoto Usuyama, Cliff Wong, Mu Wei, Bennett A. Landman, Yuankai Huo, Alberto Santamaría-Pang, Hoifung Poon

CoRR, 2024

2023

FDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models.

Hao Zhang, Yanbo Xu, Tianyuan Dai, Yu-Wing Tai, Chi-Keung Tang

CoRR, 2023

Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing.

Sheng Zhang, Yanbo Xu, Naoto Usuyama, Jaspreet Bagga, Robert Tinn, Sam Preston, Rajesh Rao, Mu Wei, Naveen Valluri, Cliff Wong, Matthew P. Lungren, Tristan Naumann, Hoifung Poon

CoRR, 2023

FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models.

Hao Zhang, Tianyuan Dai, Yanbo Xu, Yu-Wing Tai, Chi-Keung Tang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TransEHR: Self-Supervised Transformer for Clinical Time Series Data.

Yanbo Xu, Shangqing Xu, Manav Ramprassad, Alexey Tumanov, Chao Zhang

Proceedings of the Machine Learning for Health, 2023

SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process.

Zichong Li, Yanbo Xu, Simiao Zuo, Haoming Jiang, Chao Zhang, Tuo Zhao, Hongyuan Zha

Proceedings of the International Conference on Machine Learning, 2023

2022

Combining random forest and graph wavenet for spatial-temporal data prediction.

Chong Chen, Yanbo Xu, Jixuan Zhao, Lulu Chen, Yaru Xue

Intell. Converged Networks, 2022

UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification.

Yanbo Xu, Alind Khare, Glenn Matlin, Monish Ramadoss, Rishikesan Kamaleswaran, Chao Zhang, Alexey Tumanov

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

Semi-supervised Monocular 3D Object Detection by Multi-view Consistency.

Qing Lian, Yanbo Xu, Weilong Yao, Yingcong Chen, Tong Zhang

Proceedings of the Computer Vision - ECCV 2022, 2022

TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing.

Yanbo Xu, Yueqin Yin, Liming Jiang, Qianyi Wu, Chengyao Zheng, Chen Change Loy, Bo Dai, Wayne Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions.

Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman

Proceedings of the WSDM '21, 2021

2020

DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data.

Yanbo Xu, Cao Xiao, Jimeng Sun

CoRR, 2020

HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units.

Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2018

RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data.

Yanbo Xu, Siddharth Biswal, Shriprasad R. Deshpande, Kevin O. Maher, Jimeng Sun

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Predicting Changes in Pediatric Medical Complexity using Large Longitudinal Health Records.

Yanbo Xu, Mohammad Taha Bahadori, Elizabeth Searles, Michael Thompson, Javier Tejedor-Sojo, Jimeng Sun

Proceedings of the AMIA 2017, 2017

2016

A Bayesian Nonparametic Approach for Estimating Individualized Treatment-Response Curves.

Yanbo Xu, Yanxun Xu, Suchi Saria

CoRR, 2016

A Non-parametric Bayesian Approach for Estimating Treatment-Response Curves from Sparse Time Series.

Yanbo Xu, Yanxun Xu, Suchi Saria

Proceedings of the 1st Machine Learning in Health Care, 2016

Improving efficacy attribution in a self-directed learning environment using prior knowledge individualization.

Zachary A. Pardos, Yanbo Xu

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016

2015

Exemplar-based large vocabulary speech recognition using k-nearest neighbors.

Yanbo Xu, Olivier Siohan, David Simcha, Sanjiv Kumar, Hank Liao

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Doing More with Less: Student Modeling and Performance Prediction with Reduced Content Models.

Yun Huang, Yanbo Xu, Peter Brusilovsky

Proceedings of the User Modeling, Adaptation, and Personalization, 2014

A Unified 5-Dimensional Framework for Student Models.

Yanbo Xu, Jack Mostow

Proceedings of the Workshops held at Educational Data Mining 2014, 2014

Using EEG in Knowledge Tracing.

Yanbo Xu, Kai-min Chang, Yueran Yuan, Jack Mostow

Proceedings of the 7th International Conference on Educational Data Mining, 2014

2013

Speech enhancement using convolutive nonnegative matrix factorization with cosparsity regularization.

Majid Mirbagheri, Yanbo Xu, Sahar Akram, Shihab A. Shamma

Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

Using Item Response Theory to Refine Knowledge Tracing.

Yanbo Xu, Jack Mostow

Proceedings of the 6th International Conference on Educational Data Mining, 2013

2012

Pitch estimation using mutual information.

Majid Mirbagheri, Yanbo Xu, Shihab A. Shamma

Proceedings of the ISCA Workshop on Statistical And Perceptual Audition, 2012

CAR: Contour-based routing in wireless sensor networks.

Jie Cheng, Qiang Ye, Lei Zhang, Yanbo Xu, Hongbo Jiang, Hongwei Du

Proceedings of IEEE International Conference on Communications, 2012

Dimension reduction in regression using Gaussian Mixture Models.

Majid Mirbagheri, Yanbo Xu, Shihab A. Shamma

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Comparison of methods to trace multiple subskills: Is LR-DBN best?

Yanbo Xu, Jack Mostow

Proceedings of the 5th International Conference on Educational Data Mining, 2012

2011

Logistic Regression in a Dynamic Bayes Net Models Multiple Subskills Better!

Yanbo Xu, Jack Mostow

Proceedings of the 4th International Conference on Educational Data Mining, 2011

Using Logistic Regression to Trace Multiple Sub-skills in a Dynamic Bayes Net.

Yanbo Xu, Jack Mostow

Proceedings of the 4th International Conference on Educational Data Mining, 2011

Desperately Seeking Subscripts: Towards Automated Model Parameterization.

Jack Mostow, Yanbo Xu, Md. Ahaduzzaman Munna

Proceedings of the 4th International Conference on Educational Data Mining, 2011

2010

Efficient Mobile Content Delivery Based on Co-Route Prediction in Urban Transport.

Le Shu, Hongbo Jiang, Xiaoqiang Ma, Lanchao Liu, Kai Peng, Bo Liu, Jie Cheng, Yanbo Xu

Proceedings of the Global Communications Conference, 2010

2008

Computing Stable Skeletons with Particle Filters.

Xiang Bai, Xingwei Yang, Longin Jan Latecki, Yanbo Xu, Wenyu Liu

Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008