Ricardo Henao

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 139

Top Venues

Publications

Chuan Hong, Molei Liu, Daniel Wojdyla, Jimmy Hickey, Michael J. Pencina, Ricardo Henao
Trans-Balance: Reducing demographic disparity for prediction models in the presence of class imbalance. J. Biomed. Informatics 149 (2024)
Ke Bai, Guoyin Wang, Jiwei Li, Sunghyun Park, Sungjin Lee, Puyang Xu, Ricardo Henao, Lawrence Carin
Open World Classification with Adaptive Negative Samples. CoRR (2023)
Rui Wang, Pengyu Cheng, Ricardo Henao
Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling. AISTATS (2023)
Rui Wang, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Ruiyi Zhang, Subrata Mitra, Ricardo Henao
Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets. ACL (Findings) (2023)
Jimmy Hickey, Ricardo Henao, Daniel Wojdyla, Michael J. Pencina, Matthew M. Engelhard
Improving Event Time Prediction by Learning to Partition the Event Time Space. CoRR (2023)
Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. CoRR (2023)
Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Irfan Khan, Karen Chandross, Michael J. Pencina, Lawrence Carin, Ricardo Henao
Calibration and Uncertainty in Neural Time-to-Event Modeling. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Junya Chen, Matthew Engelhard, Ricardo Henao, Samuel Berchuck, Brian Eichner, Eliana M. Perrin, Guillermo Sapiro, Geraldine Dawson
Enhancing early autism prediction based on electronic records using clinical narratives. J. Biomed. Informatics 144 (2023)
Fanjie Kong, Yuan Li, Houssam Nassif, Tanner Fiez, Ricardo Henao, Shreya Chakrabarti
Neural Insights for Digital Marketing Content Design. KDD (2023)
Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. NeurIPS (2023)
Ke Bai, Pengyu Cheng, Weituo Hao, Ricardo Henao, Larry Carin
Estimating Total Correlation with Mutual Information Estimators. AISTATS (2023)
Fanjie Kong, Shuai Yuan, Weituo Hao, Ricardo Henao
Mitigating Test-Time Bias for Fair Image Retrieval. NeurIPS (2023)
Rui Wang, Pengyu Cheng, Ricardo Henao
Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling. CoRR (2023)
Shiang Qi, Neeraj Kumar, Mahtab Farrokh, Weijie Sun, Li-Hao Kuan, Rajesh Ranganath, Ricardo Henao, Russell Greiner
An Effective Meaningful Way to Evaluate Survival Models. CoRR (2023)
Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin
Pushing the Efficiency Limit Using Structured Sparse Convolutions. WACV (2023)
Fanjie Kong, Shuai Yuan, Weituo Hao, Ricardo Henao
Mitigating Test-Time Bias for Fair Image Retrieval. CoRR (2023)
Yamac Alican Isik, Paidamoyo Chapfuwa, Connor Davis, Ricardo Henao
Hawkes Process with Flexible Triggering Kernels. MLHC (2023)
Fanjie Kong, Yuan Li, Houssam Nassif, Tanner Fiez, Shreya Chakrabarti, Ricardo Henao
Neural Insights for Digital Marketing Content Design. CoRR (2023)
Shiang Qi, Neeraj Kumar, Mahtab Farrokh, Weijie Sun, Li-Hao Kuan, Rajesh Ranganath, Ricardo Henao, Russell Greiner
An Effective Meaningful Way to Evaluate Survival Models. ICML (2023)
Hao Zhang, Chaojie Wang, Zhengjue Wang, Zhibin Duan, Bo Chen, Mingyuan Zhou, Ricardo Henao, Lawrence Carin
Learning Hierarchical Document Graphs From Multilevel Sentence Relations. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Junda Wu, Rui Wang, Handong Zhao, Ruiyi Zhang, Chaochao Lu, Shuai Li, Ricardo Henao
Few-Shot Composition Learning for Image Retrieval with Prompt Tuning. AAAI (2023)
Ke Bai, Aonan Zhang, Zhizhong Li, Ricardo Henao, Chong Wang, Lawrence Carin
Collaborative Anomaly Detection. CoRR (2022)
Rui Wang, Ricardo Henao
Wasserstein Cross-Lingual Alignment For Named Entity Recognition. ICASSP (2022)
Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin
Pushing the Efficiency Limit Using Structured Sparse Convolutions. CoRR (2022)
Paidamoyo Chapfuwa, Sherri Rose, Lawrence Carin, Edward Meeds, Ricardo Henao
Capturing actionable dynamics with structured latent ordinary differential equations. UAI (2022)
Tianqi Yang, Ricardo Henao
TAMC: A deep-learning approach to predict motif-centric transcriptional factor binding activity based on ATAC-seq profile. PLoS Comput. Biol. 18 (9) (2022)
Matthew Engelhard, Ricardo Henao
Disentangling Whether from When in a Neural Mixture Cure Model for Failure Time Data. AISTATS (2022)
Zhenhui Xu, Congwen Zhao, Charles D. Scales, Ricardo Henao, Benjamin Alan Goldstein
Predicting in-hospital length of stay: a two-stage modeling approach to account for highly skewed data. BMC Medical Informatics Decis. Mak. 22 (1) (2022)
Rui Wang, Tong Yu, Handong Zhao, Sungchul Kim, Subrata Mitra, Ruiyi Zhang, Ricardo Henao
Few-Shot Class-Incremental Learning for Named Entity Recognition. ACL (1) (2022)
Junda Wu, Rui Wang, Tong Yu, Ruiyi Zhang, Handong Zhao, Shuai Li, Ricardo Henao, Ani Nenkova
Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling. EMNLP (Findings) (2022)
Qitong Gao, Dong Wang, Joshua David Amason, Siyang Yuan, Chenyang Tao, Ricardo Henao, Majda Hadziahmetovic, Lawrence Carin, Miroslav Pajic
Gradient Importance Learning for Incomplete Observations. ICLR (2022)
Ke Bai, Guoyin Wang, Jiwei Li, Sunghyun Park, Sungjin Lee, Puyang Xu, Ricardo Henao, Lawrence Carin
Open World Classification with Adaptive Negative Samples. EMNLP (2022)
Sijia Wang, Yoojin Choi, Junya Chen, Mostafa El-Khamy, Ricardo Henao
Toward Sustainable Continual Learning: Detection and Knowledge Repurposing of Similar Tasks. CoRR (2022)
Fanjie Kong, Ricardo Henao
Efficient Classification of Very Large Images with Tiny Objects. CVPR (2022)
Rui Wang, Ruiyi Zhang, Ricardo Henao
Wasserstein Uncertainty Estimation for Adversarial Domain Matching. Frontiers Big Data 5 (2022)
Paidamoyo Chapfuwa, Sherri Rose, Lawrence Carin, Edward Meeds, Ricardo Henao
Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations. CoRR (2022)
Yamac Alican Isik, Connor Davis, Paidamoyo Chapfuwa, Ricardo Henao
Flexible Triggering Kernels for Hawkes Process Modeling. CoRR (2022)
Rui Wang, Ricardo Henao
Unsupervised Paraphrasing Consistency Training for Low Resource Named Entity Recognition. EMNLP (1) (2021)
Xichen She, Yaya Zhai, Ricardo Henao, Christopher W. Woods, Christopher Chiu, Geoffrey S. Ginsburg, Peter X. K. Song, Alfred O. Hero III
Adaptive Multi-Channel Event Segmentation and Feature Extraction for Monitoring Health Outcomes. IEEE Trans. Biomed. Eng. 68 (8) (2021)
Junya Chen, Zidi Xiu, Benjamin Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer. NeurIPS (2021)
Rachel Lea Draelos, David Dov, Maciej A. Mazurowski, Joseph Y. Lo, Ricardo Henao, Geoffrey D. Rubin, Lawrence Carin
Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes. Medical Image Anal. 67 (2021)
Serge Assaad, Shuxi Zeng, Chenyang Tao, Shounak Datta, Nikhil Mehta, Ricardo Henao, Fan Li, Lawrence Carin
Counterfactual Representation Learning with Balancing Weights. AISTATS (2021)
David Dov, Serge Assaad, Shijing Si, Rui Wang, Hongteng Xu, Shahar Ziv Kovalsky, Jonathan Bell, Danielle Elliott Range, Jonathan Cohen, Ricardo Henao, Lawrence Carin
Affinitention nets: kernel perspective on attention architectures for set classification with applications to medical text and images. CHIL (2021)
Vivek Subramanian, Matthew Engelhard, Samuel Berchuck, Liqun Chen, Ricardo Henao, Lawrence Carin
SpanPredict: Extraction of Predictive Document Spans with Neural Attention. NAACL-HLT (2021)
Fanjie Kong, Ricardo Henao
Efficient Classification of Very Large Images with Tiny Objects. CoRR (2021)
Fanjie Kong, Xiao-Yang Liu, Ricardo Henao
Quantum Tensor Network in Machine Learning: An Application to Tiny Object Classification. CoRR (2021)
Zidi Xiu, Chenyang Tao, Michael Gao, Connor Davis, Benjamin Alan Goldstein, Ricardo Henao
Variational Disentanglement for Rare Event Modeling. AAAI (2021)
Paidamoyo Chapfuwa, Serge Assaad, Shuxi Zeng, Michael J. Pencina, Lawrence Carin, Ricardo Henao
Enabling counterfactual survival analysis with balanced representations. CHIL (2021)
David Dov, Shahar Z. Kovalsky, Serge Assaad, Jonathan Cohen, Danielle Elliott Range, Avani A. Pendse, Ricardo Henao, Lawrence Carin
Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images. Medical Image Anal. 67 (2021)
Meng Xia, Meenal K. Kheterpal, Samantha C. Wong, Christine Park, William Ratliff, Lawrence Carin, Ricardo Henao
Malignancy Prediction and Lesion Identification from Clinical Dermatological Images. CoRR (2021)
Qitong Gao, Dong Wang, Joshua D. Amason, Siyang Yuan, Chenyang Tao, Ricardo Henao, Majda Hadziahmetovic, Lawrence Carin, Miroslav Pajic
Imputation-Free Learning from Incomplete Observations. CoRR (2021)
Liqun Chen, Dong Wang, Zhe Gan, Jingjing Liu, Ricardo Henao, Lawrence Carin
Wasserstein Contrastive Representation Distillation. CVPR (2021)
Zidi Xiu, Chenyang Tao, Michael Gao, Connor Davis, Benjamin Alan Goldstein, Ricardo Henao
Variational Disentanglement for Rare Event Modeling. CoRR (2020)
Matthew Engelhard, Samuel Berchuck, Joshua D'Arcy, Ricardo Henao
Neural Conditional Event Time Models. CoRR (2020)
Paidamoyo Chapfuwa, Chunyuan Li, Nikhil Mehta, Lawrence Carin, Ricardo Henao
Survival cluster analysis. CHIL (2020)
Dong Wang, Yuewei Yang, Chenyang Tao, Fanjie Kong, Ricardo Henao, Lawrence Carin
Proactive Pseudo-Intervention: Causally Informed Contrastive Learning For Interpretable Vision Models. CoRR (2020)
Rui Wang, Shijing Si, Guoyin Wang, Lei Zhang, Lawrence Carin, Ricardo Henao
Integrating Task Specific Information into Pretrained Language Models for Low Resource Fine Tuning. EMNLP (Findings) (2020)
Junya Chen, Zidi Xiu, Benjamin Alan Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao
Supercharging Imbalanced Data Learning With Causal Representation Transfer. CoRR (2020)
Paidamoyo Chapfuwa, Serge Assaad, Shuxi Zeng, Michael J. Pencina, Lawrence Carin, Ricardo Henao
Survival Analysis meets Counterfactual Inference. CoRR (2020)
Matthew Engelhard, Samuel Berchuck, Joshua D'Arcy, Ricardo Henao
Neural Conditional Event Time Models. MLHC (2020)
Rachel Lea Draelos, David Dov, Maciej A. Mazurowski, Joseph Y. Lo, Ricardo Henao, Geoffrey D. Rubin, Lawrence Carin
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes. CoRR (2020)
Hongteng Xu, Dixin Luo, Ricardo Henao, Svati Shah, Lawrence Carin
Learning Autoencoders with Relational Regularization. CoRR (2020)
Paidamoyo Chapfuwa, Chunyuan Li, Nikhil Mehta, Lawrence Carin, Ricardo Henao
Survival Cluster Analysis. CoRR (2020)
Zidi Xiu, Chenyang Tao, Ricardo Henao
Variational learning of individual survival distributions. CHIL (2020)
Liqun Chen, Zhe Gan, Dong Wang, Jingjing Liu, Ricardo Henao, Lawrence Carin
Wasserstein Contrastive Representation Distillation. CoRR (2020)
Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Ricardo Henao, Lawrence Carin
Students Need More Attention: BERT-based AttentionModel for Small Data with Application to AutomaticPatient Message Triage. CoRR (2020)
Liqun Chen, Ke Bai, Chenyang Tao, Yizhe Zhang, Guoyin Wang, Wenlin Wang, Ricardo Henao, Lawrence Carin
Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning. AAAI (2020)
Zidi Xiu, Chenyang Tao, Ricardo Henao
Variational Learning of Individual Survival Distributions. CoRR (2020)
Serge Assaad, Shuxi Zeng, Chenyang Tao, Shounak Datta, Nikhil Mehta, Ricardo Henao, Fan Li, Lawrence Carin
Counterfactual Representation Learning with Balancing Weights. CoRR (2020)
Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin
Advancing weakly supervised cross-domain alignment with optimal transport. BMVC (2020)
Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin
Weakly supervised cross-domain alignment with optimal transport. CoRR (2020)
Hongteng Xu, Dixin Luo, Ricardo Henao, Svati Shah, Lawrence Carin
Learning Autoencoders with Relational Regularization. ICML (2020)
Chunyuan Li, Changyou Chen, Yunchen Pu, Ricardo Henao, Lawrence Carin
Communication-Efficient Stochastic Gradient MCMC for Neural Networks. AAAI (2019)
Songyue Han, James Tian, Mark Kelly, Vignesh Selvakumaran, Ricardo Henao, Geoffrey D. Rubin, Joseph Y. Lo
Classifying abnormalities in computed tomography radiology reports with rule-based and natural language processing models. Medical Imaging: Computer-Aided Diagnosis (2019)
Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin
Improving Textual Network Learning with Variational Homophilic Embeddings. NeurIPS (2019)
Rui Wang, Guoyin Wang, Ricardo Henao
Discriminative Clustering for Robust Unsupervised Domain Adaptation. CoRR (2019)
Pengyu Cheng, Chang Liu, Chunyuan Li, Dinghan Shen, Ricardo Henao, Lawrence Carin
Straight-Through Estimator as Projected Wasserstein Gradient Flow. CoRR (2019)
David Dov, Shahar Z. Kovalsky, Jonathan Cohen, Danielle Elliott Range, Ricardo Henao, Lawrence Carin
Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images. MLHC (2019)
Kevin J. Liang, Guoyin Wang, Yitong Li, Ricardo Henao, Lawrence Carin
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods. CoRR (2019)
Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin
Improving Textual Network Learning with Variational Homophilic Embeddings. CoRR (2019)
Paidamoyo Chapfuwa, Chenyang Tao, Lawrence Carin, Ricardo Henao
Survival Function Matching for Calibrated Time-to-Event Predictions. CoRR (2019)
David Dov, Shahar Ziv Kovalsky, Jonathan Cohen, Danielle Elliott Range, Ricardo Henao, Lawrence Carin
A Deep-Learning Algorithm for Thyroid Malignancy Prediction From Whole Slide Cytopathology Images. CoRR (2019)
Matias Benitez, James Tian, Mark Kelly, Vignesh Selvakumaran, Matthew Phelan, Maciej A. Mazurowski, Joseph Y. Lo, Geoffrey D. Rubin, Ricardo Henao
Combining deep learning methods and human knowledge to identify abnormalities in computed tomography (CT) reports. Medical Imaging: Computer-Aided Diagnosis (2019)
David Dov, Shahar Ziv Kovalsky, Jonathan Cohen, Danielle Range, Ricardo Henao, Lawrence Carin
Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images. CoRR (2019)
Kevin J. Liang, Guoyin Wang, Yitong Li, Ricardo Henao, Lawrence Carin
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods. NeurIPS (2019)
Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin
Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment. CoRR (2018)
Yunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets. ICML (2018)
Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. CoRR (2018)
Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Courtney Page, Benjamin Alan Goldstein, Lawrence Carin, Ricardo Henao
Adversarial Time-to-Event Modeling. ICML (2018)
Shelley A. Rusincovitch, Lisa Wruck, Ricardo Henao, Larisa Rodgers, Allison Dunning, Peter Merrill, Hillary Mulder, Robert Overton, Matthew Phelan, Erich Huang, Lawrence Carin, Michael J. Pencina
The Duke Health Data Science Internship Program: Integrating the Educational Mission into Real-World Research. AMIA (2018)
Xinyuan Zhang, Ricardo Henao, Zhe Gan, Yitong Li, Lawrence Carin
Multi-Label Learning from Medical Plain Text with Convolutional Residual Models. MLHC (2018)
Yunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets. CoRR (2018)
Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. ACL (1) (2018)
Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Ricardo Henao, Lawrence Carin
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. ACL (1) (2018)
Liqun Chen, Chenyang Tao, Ruiyi Zhang, Ricardo Henao, Lawrence Carin
Variational Inference and Model Selection with Generalized Evidence Bounds. ICML (2018)
Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. CoRR (2018)
Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin
Joint Embedding of Words and Labels for Text Classification. ACL (1) (2018)
Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin
Joint Embedding of Words and Labels for Text Classification. CoRR (2018)
Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Courtney Page, Benjamin Alan Goldstein, Lawrence Carin, Ricardo Henao
Adversarial Time-to-Event Modeling. CoRR (2018)
Chenyang Tao, Liqun Chen, Ricardo Henao, Jianfeng Feng, Lawrence Carin
Chi-square Generative Adversarial Network. ICML (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ricardo Henao