Yanbo Xu - RankMe

47 papers A* 7A 4B 8Misc 3Journal 18Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Scaling medical imaging report generation with multimodal reinforcement learning. CoRR Qianchu Liu, Sheng Zhang, Guanghui Qin, Yu Gu, Ying Jin, Sam Preston, Yanbo Xu, Sid Kiblawi, Wen-Wai Yim, Timothy Ossowski, Tristan Naumann, Mu Wei, Hoifung Poon
2025	A*	`conf`	FirmProj: Detecting Firmware Leakage in IoT Update Processes via Companion App Analysis. ASE Wenzhi Li, Jialong Guo, Jiongyi Chen, Fan Li, Yujie Xing, Yanbo Xu, Shishuai Yang, Wenrui Diao
2025	J	`jnl`	Multi-layer obstacle-avoiding rectilinear steiner minimal tree algorithm based on deep reinforcement learning. J. King Saud Univ. Comput. Inf. Sci. Xing Huang, Yuhan Zhu, Yanbo Xu, Yajun Xie, Genggeng Liu
2025	J	`jnl`	Temporal Score Rescaling for Temperature Sampling in Diffusion and Flow Models. CoRR Yanbo Xu, Yu Wu, Sungjae Park, Zhizhuo Zhou, Shubham Tulsiani
2025	J	`jnl`	Universal Abstraction: Harnessing Frontier Models to Structure Real-World Data at Scale. CoRR Cliff Wong, Sam Preston, Qianchu Liu, Zelalem Gero, Jass Bagga, Sheng Zhang, Shrey Jain, Theodore Zhao, Yu Gu, Yanbo Xu, Sid Kiblawi, Roshanthi Weerasinghe, Rom S. Leidner, Kristina Young, Brian Piening, Carlo Bifulco, Tristan Naumann, Mu Wei, Hoifung Poon
2024	J	`jnl`	Diverse Score Distillation. CoRR Yanbo Xu, Jayanth Srinivasa, Gaowen Liu, Shubham Tulsiani
2024	J	`jnl`	Foundation Models for Biomedical Image Segmentation: A Survey. CoRR 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
2024	—	`—`	Robust Representation Learning and Real-Time Serving of Deep Models for Health Time Series. Yanbo Xu
2024	J	`jnl`	Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging. CoRR 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
2023	J	`jnl`	FDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models. CoRR Hao Zhang, Yanbo Xu, Tianyuan Dai, Yu-Wing Tai, Chi-Keung Tang
2023	A*	`conf`	FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models. NeurIPS Hao Zhang, Tianyuan Dai, Yanbo Xu, Yu-Wing Tai, Chi-Keung Tang
2023	J	`jnl`	Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing. CoRR 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
2023	A*	`conf`	SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process. ICML Zichong Li, Yanbo Xu, Simiao Zuo, Haoming Jiang, Chao Zhang, Tuo Zhao, Hongyuan Zha
2023	J	`jnl`	SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process. CoRR Zichong Li, Yanbo Xu, Simiao Zuo, Haoming Jiang, Chao Zhang, Tuo Zhao, Hongyuan Zha
2023	—	`conf`	TransEHR: Self-Supervised Transformer for Clinical Time Series Data. ML4H@NeurIPS Yanbo Xu, Shangqing Xu, Manav Ramprassad, Alexey Tumanov, Chao Zhang
2022	J	`jnl`	Combining random forest and graph wavenet for spatial-temporal data prediction. Intell. Converged Networks Chong Chen, Yanbo Xu, Jixuan Zhao, Lulu Chen, Yaru Xue
2022	—	`conf`	Semi-supervised Monocular 3D Object Detection by Multi-view Consistency. ECCV (8) Qing Lian, Yanbo Xu, Weilong Yao, Yingcong Chen, Tong Zhang
2022	A*	`conf`	TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing. CVPR Yanbo Xu, Yueqin Yin, Liming Jiang, Qianyi Wu, Chengyao Zheng, Chen Change Loy, Bo Dai, Wayne Wu
2022	J	`jnl`	TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing. CoRR Yanbo Xu, Yueqin Yin, Liming Jiang, Qianyi Wu, Chengyao Zheng, Chen Change Loy, Bo Dai, Wayne Wu
2022	A*	`conf`	UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification. NeurIPS Yanbo Xu, Alind Khare, Glenn Matlin, Monish Ramadoss, Rishikesan Kamaleswaran, Chao Zhang, Alexey Tumanov
2022	J	`jnl`	UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification. CoRR Yanbo Xu, Alind Khare, Glenn Matlin, Monish Ramadoss, Rishikesan Kamaleswaran, Chao Zhang, Alexey Tumanov
2021	A	`conf`	Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions. WSDM Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman
2020	J	`jnl`	DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data. CoRR Yanbo Xu, Cao Xiao, Jimeng Sun
2020	A*	`conf`	HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. KDD Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov
2020	J	`jnl`	HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. CoRR Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov
2020	J	`jnl`	Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions. CoRR Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman
2018	A*	`conf`	RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data. KDD Yanbo Xu, Siddharth Biswal, Shriprasad R. Deshpande, Kevin O. Maher, Jimeng Sun
2018	J	`jnl`	RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data. CoRR Yanbo Xu, Siddharth Biswal, Shriprasad R. Deshpande, Kevin O. Maher, Jimeng Sun
2017	Misc	`conf`	Predicting Changes in Pediatric Medical Complexity using Large Longitudinal Health Records. AMIA Yanbo Xu, Mohammad Taha Bahadori, Elizabeth Searles, Michael Thompson, Javier Tejedor-Sojo, Jimeng Sun
2016	J	`jnl`	A Bayesian Nonparametic Approach for Estimating Individualized Treatment-Response Curves. CoRR Yanbo Xu, Yanxun Xu, Suchi Saria
2016	—	`conf`	A Non-parametric Bayesian Approach for Estimating Treatment-Response Curves from Sparse Time Series. MLHC Yanbo Xu, Yanxun Xu, Suchi Saria
2016	A	`conf`	Improving efficacy attribution in a self-directed learning environment using prior knowledge individualization. LAK Zachary A. Pardos, Yanbo Xu
2015	Misc	`conf`	Exemplar-based large vocabulary speech recognition using k-nearest neighbors. ICASSP Yanbo Xu, Olivier Siohan, David Simcha, Sanjiv Kumar, Hank Liao
2014	—	`conf`	A Unified 5-Dimensional Framework for Student Models. EDM (Workshops) Yanbo Xu, Jack Mostow
2014	A	`conf`	Doing More with Less: Student Modeling and Performance Prediction with Reduced Content Models. UMAP Yun Huang, Yanbo Xu, Peter Brusilovsky
2014	B	`conf`	Using EEG in Knowledge Tracing. EDM Yanbo Xu, Kai-min Chang, Yueran Yuan, Jack Mostow
2013	A	`conf`	Speech enhancement using convolutive nonnegative matrix factorization with cosparsity regularization. INTERSPEECH Majid Mirbagheri, Yanbo Xu, Sahar Akram, Shihab A. Shamma
2013	B	`conf`	Using Item Response Theory to Refine Knowledge Tracing. EDM Yanbo Xu, Jack Mostow
2012	—	`conf`	CAR: Contour-based routing in wireless sensor networks. ICC Jie Cheng, Qiang Ye, Lei Zhang, Yanbo Xu, Hongbo Jiang, Hongwei Du
2012	B	`conf`	Comparison of methods to trace multiple subskills: Is LR-DBN best? EDM Yanbo Xu, Jack Mostow
2012	Misc	`conf`	Dimension reduction in regression using Gaussian Mixture Models. ICASSP Majid Mirbagheri, Yanbo Xu, Shihab A. Shamma
2012	—	`conf`	Pitch estimation using mutual information. SAPA@INTERSPEECH Majid Mirbagheri, Yanbo Xu, Shihab A. Shamma
2011	B	`conf`	Desperately Seeking Subscripts: Towards Automated Model Parameterization. EDM Jack Mostow, Yanbo Xu, Md. Ahaduzzaman Munna
2011	B	`conf`	Logistic Regression in a Dynamic Bayes Net Models Multiple Subskills Better! EDM Yanbo Xu, Jack Mostow
2011	B	`conf`	Using Logistic Regression to Trace Multiple Sub-skills in a Dynamic Bayes Net. EDM Yanbo Xu, Jack Mostow
2010	B	`conf`	Efficient Mobile Content Delivery Based on Co-Route Prediction in Urban Transport. GLOBECOM Le Shu, Hongbo Jiang, Xiaoqiang Ma, Lanchao Liu, Kai Peng, Bo Liu, Jie Cheng, Yanbo Xu
2008	B	`conf`	Computing Stable Skeletons with Particle Filters. PRICAI Xiang Bai, Xingwei Yang, Longin Jan Latecki, Yanbo Xu, Wenyu Liu