Yanbo Xu

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 25

Top Topics

Student Modeling

Patient Monitoring

Top Venues

EDM (Workshops)

Publications

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
Foundation Models for Biomedical Image Segmentation: A Survey. CoRR (2024)
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
Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging. CoRR (2024)
Hao Zhang, Tianyuan Dai, Yanbo Xu, Yu-Wing Tai, Chi-Keung Tang
FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models. NeurIPS (2023)
Hao Zhang, Yanbo Xu, Tianyuan Dai, Yu-Wing Tai, Chi-Keung Tang
FDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models. CoRR (2023)
Zichong Li, Yanbo Xu, Simiao Zuo, Haoming Jiang, Chao Zhang, Tuo Zhao, Hongyuan Zha
SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process. CoRR (2023)
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
Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing. CoRR (2023)
Zichong Li, Yanbo Xu, Simiao Zuo, Haoming Jiang, Chao Zhang, Tuo Zhao, Hongyuan Zha
SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process. ICML (2023)
Yanbo Xu, Shangqing Xu, Manav Ramprassad, Alexey Tumanov, Chao Zhang
TransEHR: Self-Supervised Transformer for Clinical Time Series Data. ML4H@NeurIPS (2023)
Yanbo Xu, Yueqin Yin, Liming Jiang, Qianyi Wu, Chengyao Zheng, Chen Change Loy, Bo Dai, Wayne Wu
TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing. CVPR (2022)
Yanbo Xu, Yueqin Yin, Liming Jiang, Qianyi Wu, Chengyao Zheng, Chen Change Loy, Bo Dai, Wayne Wu
TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing. CoRR (2022)
Yanbo Xu, Alind Khare, Glenn Matlin, Monish Ramadoss, Rishikesan Kamaleswaran, Chao Zhang, Alexey Tumanov
UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification. NeurIPS (2022)
Chong Chen, Yanbo Xu, Jixuan Zhao, Lulu Chen, Yaru Xue
Combining random forest and graph wavenet for spatial-temporal data prediction. Intell. Converged Networks 3 (4) (2022)
Qing Lian, Yanbo Xu, Weilong Yao, Yingcong Chen, Tong Zhang
Semi-supervised Monocular 3D Object Detection by Multi-view Consistency. ECCV (8) (2022)
Yanbo Xu, Alind Khare, Glenn Matlin, Monish Ramadoss, Rishikesan Kamaleswaran, Chao Zhang, Alexey Tumanov
UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification. CoRR (2022)
Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman
Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions. WSDM (2021)
Yanbo Xu, Cao Xiao, Jimeng Sun
DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data. CoRR (2020)
Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman
Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions. CoRR (2020)
Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. KDD (2020)
Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. CoRR (2020)
Yanbo Xu, Siddharth Biswal, Shriprasad R. Deshpande, Kevin O. Maher, Jimeng Sun
RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data. KDD (2018)
Yanbo Xu, Siddharth Biswal, Shriprasad R. Deshpande, Kevin O. Maher, Jimeng Sun
RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data. CoRR (2018)
Yanbo Xu, Mohammad Taha Bahadori, Elizabeth Searles, Michael Thompson, Javier Tejedor-Sojo, Jimeng Sun
Predicting Changes in Pediatric Medical Complexity using Large Longitudinal Health Records. AMIA (2017)
Yanbo Xu, Yanxun Xu, Suchi Saria
A Bayesian Nonparametic Approach for Estimating Individualized Treatment-Response Curves. CoRR (2016)
Yanbo Xu, Yanxun Xu, Suchi Saria
A Non-parametric Bayesian Approach for Estimating Treatment-Response Curves from Sparse Time Series. MLHC (2016)
Zachary A. Pardos, Yanbo Xu
Improving efficacy attribution in a self-directed learning environment using prior knowledge individualization. LAK (2016)
Yanbo Xu, Olivier Siohan, David Simcha, Sanjiv Kumar, Hank Liao
Exemplar-based large vocabulary speech recognition using k-nearest neighbors. ICASSP (2015)
Yanbo Xu, Jack Mostow
A Unified 5-Dimensional Framework for Student Models. EDM (Workshops) (2014)
Yun Huang, Yanbo Xu, Peter Brusilovsky
Doing More with Less: Student Modeling and Performance Prediction with Reduced Content Models. UMAP (2014)
Yanbo Xu, Kai-min Chang, Yueran Yuan, Jack Mostow
Using EEG in Knowledge Tracing. EDM (2014)
Yanbo Xu, Jack Mostow
Using Item Response Theory to Refine Knowledge Tracing. EDM (2013)
Majid Mirbagheri, Yanbo Xu, Sahar Akram, Shihab A. Shamma
Speech enhancement using convolutive nonnegative matrix factorization with cosparsity regularization. INTERSPEECH (2013)
Jie Cheng, Qiang Ye, Lei Zhang, Yanbo Xu, Hongbo Jiang, Hongwei Du
CAR: Contour-based routing in wireless sensor networks. ICC (2012)
Majid Mirbagheri, Yanbo Xu, Shihab A. Shamma
Dimension reduction in regression using Gaussian Mixture Models. ICASSP (2012)
Majid Mirbagheri, Yanbo Xu, Shihab A. Shamma
Pitch estimation using mutual information. SAPA@INTERSPEECH (2012)
Yanbo Xu, Jack Mostow
Comparison of methods to trace multiple subskills: Is LR-DBN best? EDM (2012)
Yanbo Xu, Jack Mostow
Logistic Regression in a Dynamic Bayes Net Models Multiple Subskills Better! EDM (2011)
Jack Mostow, Yanbo Xu, Mdahaduzzaman Munna
Desperately Seeking Subscripts: Towards Automated Model Parameterization. EDM (2011)
Yanbo Xu, Jack Mostow
Using Logistic Regression to Trace Multiple Sub-skills in a Dynamic Bayes Net. EDM (2011)
Le Shu, Hongbo Jiang, Xiaoqiang Ma, Lanchao Liu, Kai Peng, Bo Liu, Jie Cheng, Yanbo Xu
Efficient Mobile Content Delivery Based on Co-Route Prediction in Urban Transport. GLOBECOM (2010)
Xiang Bai, Xingwei Yang, Longin Jan Latecki, Yanbo Xu, Wenyu Liu
Computing Stable Skeletons with Particle Filters. PRICAI (2008)