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ORCIDYanbo Xu
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2020 – today
- 2024
[b1]Yanbo Xu:
Robust Representation Learning and Real-Time Serving of Deep Models for Health Time Series. Georgia Institute of Technology, Atlanta, GA, USA, 2024- [i12]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 abs/2401.07654 (2024) - [i11]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 abs/2403.08002 (2024) - 2023
- [c27]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: 20210-20220 - [c26]Yanbo Xu, Shangqing Xu, Manav Ramprassad, Alexey Tumanov, Chao Zhang:
TransEHR: Self-Supervised Transformer for Clinical Time Series Data. ML4H@NeurIPS 2023: 623-635 - [c25]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 - [i10]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 abs/2303.00915 (2023) - [i9]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 abs/2306.00783 (2023) - [i8]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 abs/2310.16336 (2023) - 2022
- [j1]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): 364-377 (2022) - [c24]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: 7673-7682 - [c23]Qing Lian, Yanbo Xu, Weilong Yao, Yingcong Chen, Tong Zhang:
Semi-supervised Monocular 3D Object Detection by Multi-view Consistency. ECCV (8) 2022: 715-731 - [c22]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 - [i7]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 abs/2203.17266 (2022) - [i6]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 abs/2210.15056 (2022) - 2021
- [c21]Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman:
Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions. WSDM 2021: 409-417 - 2020
- [c20]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: 1614-1624 - [i5]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 abs/2008.04063 (2020) - [i4]Yanbo Xu, Cao Xiao, Jimeng Sun:
DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data. CoRR abs/2010.15028 (2020) - [i3]Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman:
Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions. CoRR abs/2011.05877 (2020)
2010 – 2019
- 2018
- [c19]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: 2565-2573 - [i2]Yanbo Xu, Siddharth Biswal, Shriprasad R. Deshpande, Kevin O. Maher, Jimeng Sun:
RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data. CoRR abs/1807.08820 (2018) - 2017
- [c18]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 - 2016
- [c17]Zachary A. Pardos, Yanbo Xu:
Improving efficacy attribution in a self-directed learning environment using prior knowledge individualization. LAK 2016: 435-439 - [c16]Yanbo Xu, Yanxun Xu, Suchi Saria:
A Non-parametric Bayesian Approach for Estimating Treatment-Response Curves from Sparse Time Series. MLHC 2016: 282-300 - [i1]Yanbo Xu, Yanxun Xu, Suchi Saria:
A Bayesian Nonparametic Approach for Estimating Individualized Treatment-Response Curves. CoRR abs/1608.05182 (2016) - 2015
- [c15]Yanbo Xu, Olivier Siohan, David Simcha, Sanjiv Kumar, Hank Liao:
Exemplar-based large vocabulary speech recognition using k-nearest neighbors. ICASSP 2015: 5167-5171 - 2014
- [c14]Yanbo Xu, Kai-min Chang, Yueran Yuan, Jack Mostow:
Using EEG in Knowledge Tracing. EDM 2014: 361-362 - [c13]Yanbo Xu, Jack Mostow:
A Unified 5-Dimensional Framework for Student Models. EDM (Workshops) 2014 - [c12]Yun Huang, Yanbo Xu, Peter Brusilovsky:
Doing More with Less: Student Modeling and Performance Prediction with Reduced Content Models. UMAP 2014: 338-349 - 2013
- [c11]Yanbo Xu, Jack Mostow:
Using Item Response Theory to Refine Knowledge Tracing. EDM 2013: 356-357 - [c10]Majid Mirbagheri, Yanbo Xu, Sahar Akram, Shihab A. Shamma:
Speech enhancement using convolutive nonnegative matrix factorization with cosparsity regularization. INTERSPEECH 2013: 456-459 - 2012
- [c9]Yanbo Xu, Jack Mostow:
Comparison of methods to trace multiple subskills: Is LR-DBN best? EDM 2012: 41-48 - [c8]Majid Mirbagheri, Yanbo Xu, Shihab A. Shamma:
Dimension reduction in regression using Gaussian Mixture Models. ICASSP 2012: 2169-2172 - [c7]Jie Cheng, Qiang Ye, Lei Zhang, Yanbo Xu, Hongbo Jiang, Hongwei Du:
CAR: Contour-based routing in wireless sensor networks. ICC 2012: 312-317 - [c6]Majid Mirbagheri, Yanbo Xu, Shihab A. Shamma:
Pitch estimation using mutual information. SAPA@INTERSPEECH 2012: 1-4 - 2011
- [c5]Yanbo Xu, Jack Mostow:
Using Logistic Regression to Trace Multiple Sub-skills in a Dynamic Bayes Net. EDM 2011: 241-246 - [c4]Jack Mostow, Yanbo Xu, Md. Ahaduzzaman Munna:
Desperately Seeking Subscripts: Towards Automated Model Parameterization. EDM 2011: 283-288 - [c3]Yanbo Xu, Jack Mostow:
Logistic Regression in a Dynamic Bayes Net Models Multiple Subskills Better! EDM 2011: 337-338 - 2010
- [c2]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: 1-5
2000 – 2009
- 2008
- [c1]Xiang Bai, Xingwei Yang, Longin Jan Latecki, Yanbo Xu, Wenyu Liu:
Computing Stable Skeletons with Particle Filters. PRICAI 2008: 30-41
Coauthor Index
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last updated on 2024-08-28 23:33 CEST by the dblp team
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